New Exhibit Highlights African American Soldiers Of The Civil War – WUWF

More than 179,000 African Americans served in the U.S. Colored Troops (USCT) during the Civil War. The USCT made up over 10% of the Union Army and 25% of the Union Navy, but the service of those men is often a footnote in history books.

A new exhibit at Gulf Islands National Seashores Fort Pickens Discovery Center highlights 17 members of the 25th USCT, Company G, who served in the Pensacola Bay area, defending Fort Barrancas from April to August in 1864. The exhibit of life-sized portraits stems from a collection of postage-stamp-sized photographs that became the fascination of Ann Arbor illustrator Shayne Davidson in 2012.

I was working on a family tree for a friend when I asked if she had any photos, and she put me in touch with her cousin, who told me about this tiny album that belonged to her great-grandfather, Captain William A. Prickett, Davidson recalled.

Inside the locket-sized album are 18 portraits of men from the USCT, Company G. While the photos had little to do with her friends family tree, she became fascinated by the men from the album. Her friend sent photos of each portrait all but one had names handwritten on the matte.

I started to do research, thinking I wouldnt find much out about them, but then I came across (the website) Fold3, which has military records. I was able to trace each of them to varying degrees. Some, I have their complete life stories others I might have a census record or two.

Only one story about Capt. Pricketts time with USCT was passed down generations.

(Captain Prickett) got sick at Fort Barrancas, and he believed he wasnt going to make it, Davidson said. He credited the men for saving his life.

Coincidentally enough, through her research, she found one of the soldiers, James Tall, had a daughter named Pensacola.

That tells me that the time (the company) spent there had some impact, she said.

After spending time with the portraits and putting stories to each face, Davidson decided to try and re-create them in life-size form. The exhibit has traveled to several states and will be at Gulf Islands National Seashore through May 15. It's the first temporary exhibit for the center.

The exhibit is also a chance for GINS staff to sort through its collection of 500,000 artifacts, which are rarely on display since the Fort is vulnerable to storms and flooding. Curator Catherine Everitt said the exhibit was timed to be taken down by hurricane season for that reason.

The artifacts come from the Seashores collection as well as private collectors. One item in particular was an exciting find.

To everyones surprise, we found a muster roll for Company G and we found 16 of the names from the exhibit, Everitt said.

She and curatorial assistant Victoria Cacchione worked on researching what life was like for the USCT. Men joined voluntarily, and were typically given manual-labor jobs, Everitt said. And they faced discrimination just like in civilian life. The exhibit shares the patriotism and the hardships.

Its one thing to read about this, but this is history you can hold, Everitt said. These were real people, not just some pages in a book.

Shards of a harmonica uncovered from an excavation gives a sense of the soldiers lives outside of war, said Cicchione.

Davidson said she didnt have a goal in mind when she started her portrait project. But whenever the exhibit makes a new stop, she always hopes that a descendent can find a piece of their history.

Pastor C. Marcel Davis is a local descendent of a USCT soldier, Jonas Brown. Brown was raised in Washington County and worked on a steamboat with his best friend. They shipped gopher tortoises from Vernon to Pensacola as a delicacy.

Davis said he didnt know much about his great-grandfathers service. As a kid, the stories were kind of lost on him. As an adult, Davis shares his ancestry with pride.

It shows the tenacity of African men in America, he said. After all those years I kind of look back and Im astounded how that history is not always recognized.

Davidsons exhibit has taken on a life of its own and shes pleased to be in the background, she said. And the little album that started it all? The family has since donated it to the Smithsonian National Museum of African American History & Culture. Davidson and Pricketts descendants all met up to donate the album. It was the first time Davidson saw it in person.

I was overwhelmed, she said. Its been a really amazing experience.

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New Exhibit Highlights African American Soldiers Of The Civil War - WUWF

Tina River project construction set to start next year – International Water Power and Dam Construction

A landmark financing agreement has been completed for the 15MW Tina River hydropower project in the Solomon Islands, allowing construction to start in 2020.

The Government of Solomon Islands and the International Finance Corporation (IFC), a member of the World Bank Group, announced the completion of financing for the project. The over US$200 million package, through loans and grants from six institutions, marks the first large-scale infrastructure project for Solomon Islands to be developed as a public-private partnership (PPP).

The Tina River project will curb Solomon Islands reliance on imported diesel by almost 70%, lowering power prices for homes and businesses across the country, where the price of electricity is among the highest in the world and heavily exposed to global fuel price fluctuations and shocks. The project will also pave the way for the country to reduce its greenhouse gas emissions by two and half times its 2025 target.

The Tina River Hydro is an historic project for Solomon Islands, said Hon. Manasseh Sogavare, Prime Minister of Solomon Islands. It will deliver cheaper power to Solomon Islanders and signals to investors that Solomon Islands is ready for large projects and partnerships. This first public private partnership infrastructure project in Solomon Islands opens the door for more, which will support much needed development, offering Solomon Islanders a better standard of living and more opportunities.

Tina Hydropower Limited (THL), the Tina River Hydropower Development Project company, formed by Korea Water Resources Corporation (K-water) and Hyundai Engineering Company Ltd. (HEC) will build and operate the hydropower facility on the Tina River, 20km southeast of the capital, Honiara.

The Tina River Hydropower Development Project is expected to create at least 440 jobs during the construction phase, which is also of benefit to the economy of Solomon Islands, said Dr. Jaeil Ryoo, Tina Hydropower Limited, Chief Executive Officer. Private companies have the capital and expertise to help make large projects like this a reality. We look forward to starting construction soon.

The World Bank Groups member organizations, which include the World Banks International Development Association (IDA), IFC and the Multilateral Investment Guarantee Agency (MIGA) have been supporting the Solomon Islands Government to develop the hydropower project for more than 10 years, including through identifying renewable energy sources, feasibility studies, and providing risk insurance. IFC acted as lead transaction advisor to the Government and helped put in place the PPP with project preparation, the investor selection process, negotiation of project agreements and the final financing agreement package.

We are pleased to have supported the government of Solomon Islands by structuring a way to bring in the private sector to help the nations major shift from imported diesel to renewable energy, said IFCs Regional Director for East Asia and the Pacific, Vivek Pathak. With the support of Australia, New Zealand and the multi-donor facility, DevCo, the agreement now in place shows how governments and the private sector can work together on key infrastructure projects to help nations wanting cleaner, cheaper and more reliable energy for their people.

The financial package for the Tina River project includes funding from IDA, the Green Climate Fund (GCF) the Republic of Koreas Economic Development Cooperation Fund (EDCF), the Abu Dhabi Fund for Development (ADFD), the Asian Development Bank (ADB), and the Australian Government. The total project cost is expected to reach US$240 million over the next 5 years.

The World Bank has been supporting the Solomon Islands bring Tina River Hydro to life since 2008, when the Solomon Islands Government first sought our help to look at potential options for to deliver safe, reliable and affordable renewable electricity to Solomon Islanders, said World Bank Country Director for Papua New Guinea and the Pacific Islands, Michel Kerf. Since then, we have been proud to support Solomon Islands to bring this project to where it is today: with funding secured, environmental and social safeguards in place, financing arrangements locked in, and soon the start of construction on what will be a landmark development project for the country.

The project also marks the first in the country to introduce a unique landowner participation scheme with sharing of royalties through cooperatives benefiting more than 4,00 people from communities around Tina River, with benefits shared equitably among community members, including women and children.

IFCs work advising the government of Solomon Islands on the project was undertaken under the Pacific Partnership- through which the governments of Australia and New Zealand and IFC are working to spur private sector investment in the Pacific. The project also received invaluable support from DevCo, a multi-donor facility affiliated with the Private Infrastructure Development Group (PIDG) with funding from the Netherlands and Sweden.

The project has also been supported by the Energy Sector Management Assistance Program and Global Infrastructure Facility.

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Tina River project construction set to start next year - International Water Power and Dam Construction

How Artificial Intelligence Is Reshaping the Future of Stock Picking – InsideHook

AI is coming to Wall Street

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Computers arent new to Wall Street, but for most of their lives, their function has been primarily quantitative. That, says Forbes William Baldwin, is about to change thanks to the rise of artificial intelligence.

Created by a trio of former MBA classmates at at UC Berkeley, EquBot is the answer to its creators dream of producing a computer capable of blending precise financial data with less clear information found in annual reports and news articles.

EquBot has since opened up AI Powered Equity ETF, adding AI Powered International Equity in 2018. According to Forbes, the system absorbs 1.3 million texts a day, including news, blogs, social media and SEC filings. IBMs Watson the AI system that proved artificial intelligence can be trained to recognize relationships and patterns previously thought to be the sole domain of the human mind when it bested two human Jeopardy champions in 2011 then digests the language, picking up facts to feed into a knowledge graph of a million nodes.

While Forbessays its too early to tell whether EquBot will succeed long term, theres no doubt AI is going to change things on Wall Street. Donna Dillenberger, an IBM scientist in Yorktown Heights, New York, is reportedly working on a stock market model with millions of nodes, while IBM is already selling AI up and down Wall Street.

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How Artificial Intelligence Is Reshaping the Future of Stock Picking - InsideHook

Artificial Intelligence (AI) Solutions and Market Opportunities to 2024: A Comprehensive 10-Report Research Bundle – Yahoo Finance

Dublin, Dec. 17, 2019 (GLOBE NEWSWIRE) -- The "AI Solutions and Market Opportunities: AI & Cognitive Computing Technologies, Infrastructure, Capabilities, Leading Apps, and Services (2019-2024)" report has been added to ResearchAndMarkets.com's offering.

This is the most comprehensive research available covering artificial intelligence in telecommunications, media, and digital technology as a whole. For example, it covers AI in everything from consumer devices to communications networks as well as AI in key markets and technologies such as AI in supply chain management and AI-bases smart machines used in various industry verticals. It also covers the convergence of AI with IoT (AIoT), which is also known as the Artificial Intelligence of Things. It also provides a look ahead towards general-purpose intelligence, which represents the evolution of AI towards a utility function in which cognitive capabilities are leveraged within virtually every product, service, application, and solution.

One of the fastest-growing areas for artificial intelligence is the AI chipset marketplace, which is poised to transform the entire embedded system ecosystem with a multitude of AI capabilities such as deep machine learning, image detection, and many others. This will also be transformational for existing critical business functions such as Identity management, authentication, and cybersecurity. Multi-processor AI chipsets learn from the environment, users, and machines to uncover hidden patterns among data, predict actionable insight, and perform actions based on specific situations. AI chipsets will become an integral part of both AI software/systems as well as critical support of any data-intensive operation as they drastically improve processing for various functions as well as enhance overall computing performance.

For example, AI-enabled chatbots are taking Customer Relationship Management (CRM) to a new level as business-to-business, business-to-consumer, and consumer-to-business communications is both automated and improved by way of push and pull of the right information at the right time. Chatbots also provide benefits to customers as both existing clients and prospects enjoy the freedom to interact on their own terms. Our research indicates that over 50% of customer queries may be managed today via AI-based chatbots. As the interface between humans and computers evolves from an "operational" interface (Websites and traditional Apps) to an increasingly more "conversational" interface expectations about how humans communicate, consume content, use apps, and engage in commerce will change dramatically. This transformation is poised to impact virtually every aspect of marketing and sales operations for every industry vertical. For example, AI-enabled voice chat, also known as conversational AI, provides a completely human-like experience and will completely replace human-based CRM in some industries.

Smart machines collectively represent intelligent devices, machinery, equipment, and embedded automation software that perform repetitive tasks and solve complex problems autonomously. Along with AI, IoT connectivity, and M2M communications, smart machines are a key component of smart systems, which include many emerging technologies such as smart dust, neuro-computing, and advanced robotics. Smart machines will also benefit significantly from advancements in AIoT. The drivers for enterprise and industrial adoption of smart machines include improvements in the smart workplace, smart data discovery, cognitive automation, and more. Currently conceived smart machine products include autonomous robots (such as service robots), self-driving vehicles, expert systems (such as medical decision support systems), medical robots, intelligent assistants (such as automated online assistants), virtual private assistants (Siri, Google Assistant, Amazon Alexa, etc.), embedded software systems (such as machine monitoring and control systems), neurocomputers (such as purpose-built intelligent machines), and smart wearable devices.

Computing at the edge of IT and communications networks will require a different kind of intelligence. AI will be required for both security (data and infrastructure) as well as to optimize the flow of information in the form of streaming data and the ability to optimize decision-making via real-time data analytics. Edge networks will be the point of the spear so to speak when it comes to data handling, meaning that streaming data will be available for processing and decision-making. While advanced data analytics software solutions can be very effective for this purpose, there will be opportunities to enhance real-time data analytics by way of leveraging AI to automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.

Cognitive informatics is poised to become an important aspect of every major vertical. The cognitive informatics market relies upon those technologies that improve human information processing. Technologies included within this interdisciplinary domain always include some degree of Artificial Intelligence and cognitive computing, but are increasingly involving Internet of Things (IoT) enabled devices, networks and systems. In fact, this multidisciplinary combination of cognition and information sciences includes the convergence of AI and IoT, which is also referred to as the AIoT market. As human beings have cognitive limitations (such as attention, comprehension, decision-making, learning, memory, learning, and visualization), the cognitive informatics market seeks to provide human cognition augmentation and enhancement. Advancements in the understanding human behavioral science, neuroscience, and psychology are combined with innovation in AI such as improved Natural Language Processing (NLP) mechanisms and linguistics processes. Machine learning improvements to areas such as what is said vs. what is meant and context-based AI are leading to an overall improvement in man-machine interfaces critical to successful cognitive informatics market implementation.

The role and importance of AI in 5G ranges from optimizing resource allocation to data security and protection of network and enterprise assets. However, the concept of using AI in networking is a relatively new area that will ultimately require a more unified approach to fully realize its great potential. In addition, AI will assist 5G network slicing, which represents the ability to dynamically allocate bandwidth, and enforce associated service level agreements, and a per-customer and per-application basis. AI will automate the process of assigning network slices, including informing enterprise customers when the slices they are requesting are not in their best interest based on anticipated network conditions.

The convergence of AI and Internet of Things (IoT) technologies and solutions (AIoT) is leading to thinking networks and systems that are becoming increasingly more capable of solving a wide range of problems across a diverse number of industry verticals. AI adds value to IoT through machine learning and improved decision making. IoT adds value to AI through connectivity, signaling, and data exchange. AIoT is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination. With AIoT, AI is embedded into infrastructure components, such as programs, chipsets and edge computing, all interconnected with IoT networks.

APIs are then used to extend interoperability between components at the device level, software level and platform level. These units will focus primarily on optimizing system and network operations as well as extracting value from data. While early AIoT solutions are rather monolithic, it is anticipated that AIoT integration within businesses and industries will ultimately lead to more sophisticated and valuable inter-business and cross-industry solutions. These solutions will focus primarily upon optimizing system and network operations as well as extracting value from industry data through dramatically improved analytics and decision-making processes.

IoT in consumer, enterprise, industrial, and government market segments has very unique needs in terms of infrastructure, devices, systems, and processes. One thing they all have in common is that they each produce massive amounts of data, most of which is of the unstructured variety, requiring big data technologies for management. AI algorithms enhance the ability for big data analytics and IoT platforms to provide value to each of these market segments. The author sees three different types of IoT Data: (1) Raw (untouched and unstructured) Data, (2) Meta (data about data), and (3) Transformed (valued-added data). AI will be useful in support of managing each of these data types in terms of identifying, categorizing, and decision making.

AI coupled with advanced big data analytics provides the ability to make raw data meaningful and useful as information for decision-making purposes. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Experiential networking is a relatively new concept with ETSI forming an Industry Specification Group (ISG) focused on Experiential Network Intelligence (ENI) and holding an initial ISG ENI meeting in 2017. These efforts define an observe-orient-decide-act control model with the intent that networks will become increasingly more adaptive, supporting intelligent service operations by way of cognitive network management. Accordingly, core to the experiential networking market is the use of AI and cognitive computing. More specifically, ENI will leverage data and contextual information (such as AI-based decision making) to take actions based on device and system-related events. Responses to events, related processes, and machine learning, allows ENI to make automated decisions and provide recommendations for use by other systems such as management and orchestration platforms. This event-driven approach allows the experiential networking market to use various technologies to engage in intelligent analysis necessary for network and service policies and modeling.

Also known as Artificial General Intelligence (AGI), General Purpose Artificial Intelligence represents silicon-based AI that mimics human-like cognition to perform a wide variety of tasks that span beyond mere number crunching. Whereas most current AI solutions are limited in terms of the type and variety of problems that may be solved, AGI may be employed to solve many different problems including machine translation, natural language processing, logical reasoning, knowledge representation, social intelligence, and numerous others. Unlike many early AI solutions that were designed and implemented with a narrow focus, AGI will be leveraged to solve problems in many different domains and across many different industry verticals including 3D design, transforming customer service, securing enterprise data, securing public facility and personnel, financial trading, healthcare solution, highly personalized target marketing, detecting fraud, recommendation engines, autonomous vehicles and smart mobility, online search, and many other areas. AGI is rapidly evolving in many areas. However, scalability remains a challenge.

Modern supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer. Supply Chain Management (SCM) solutions are typically manifest in software architecture and systems that facilitate the flow of information among different functions within and between enterprise organizations. Leading SCM solutions catalyze information sharing across organizational units and geographical locations, enabling decision-makers to have an enterprise-wide view of the information needed in a timely, reliable and consistent fashion. Various forms of AI are being integrated into SCM solution to improve everything from process automation to providing greater visibility into static and real-time data as well as related management information systems. In addition to fully automated decision making, AI systems are also leveraging various forms of cognitive computing to optimize the combined efforts of artificial and human intelligence. For example, AI in SCM is enabling improved supply chain automation through the use of virtual assistants, which are used both internally (within a given enterprise) as well as between supply chain members (e.g. customer-supplier chains).

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Report and Topics Covered:

Artificial Intelligence Market by Technology, Infrastructure, Components, Devices, Solutions, and Industry Verticals 2019-20241. Introduction2. Overview3. Technology Impact Analysis4. Market Solutions and Applications Analysis5. Company Analysis6. AI Market Analysis and Forecasts 2019-20247. Conclusions and Recommendations

Artificial Intelligence of Things: AIoT Market by Technology and Solutions 2019-20241. Executive Summary2. Introduction3. AIoT Technology and Market4. AIoT Applications Analysis5. Analysis of Important AIoT Companies6. AIoT Market Analysis and Forecasts 2019-20247. Conclusions and Recommendations

Artificial Intelligence in Big Data Analytics and IoT: Market for Data Capture, Information and Decision Support Services 2019-20241. Executive Summary2. Introduction3. Overview4. AI Technology in Big Data and IoT5. AI Technology Application and Use Case6. AI Technology Impact on Vertical Market7. AI Predictive Analytics in Vertical Industry8. Company Analysis9. AI in Big Data and IoT Market Analysis and Forecasts 2019-202410. Conclusions and Recommendations11. Appendix

Artificial Intelligence (AI) in Supply Chain Management (SCM) Market: AI in SCM by Technology, Solution, Management Function (Automation, Planning and Logistics, Inventory, Fleet, Freight, Risk), and Region 2019-20241. Executive Summary2. Introduction3. AI in SCM Challenges and Opportunities4. Supply Chain Ecosystem Company Analysis5. AI in SCM Market Analysis and Forecasts 2019-20246. Summary and Recommendations

AI based Chatbot Market by Type (Text, Voice, and Hybrid), Use Case, Deployment Type, Value Chain Component, Market Segment (Consumer, Enterprise, Industrial, Government), Industry Vertical, Region and Country 2019-20241. Executive Summary2. Introduction3. Intelligent Chatbots Ecosystem Analysis4. Chatbot Market: SWOT Analysis and Use Cases5. Chatbot Company and Solution Analysis6. Conclusions and Recommendations7. AI Based Chatbot Market Analysis and Forecasts 2019-20248. Regional AI based Chatbot Market 2019-20249. Conversational AI Forecasts 2019-2024

Smart Machines in Enterprise, Industrial Automation, and IIoT by Technology, Product, Solution, and Industry Verticals 2019-20241. Introduction2. Smart Machine Ecosystem3. Smart Machine Market Analysis and Forecasts4. Company Analysis5. Conclusions and Recommendations6. Appendix: General Purpose AI Market Analysis and Forecasts

Artificial General Intelligence (AGI) Market: General Purpose Artificial Intelligence, AI Agent Platforms, and Software1. Executive Summary2. Introduction3. Technology and Application Analysis4. General Purpose AI Market Analysis and Forecasts5. Company Analysis6. Conclusions and Recommendations

Experiential Networking Market by Technology, Use Case, and Solutions 2019-20241. Executive Summary2. Overview3. Introduction4. Technologies Supporting Experiential Networking5. Company Analysis6. Experiential Networking Market Analysis and Forecasts 2019-20247. Conclusions and Recommendations

AI Chipsets for Wireless Networks and Devices, Cloud and Next Generation Computing, IoT, and Big Data Analytics 2019-20241. Executive Summary2. Research Overview3. AI Chipsets Introduction4. Technologies, Solutions, and Markets5. Company Analysis6. AI Chipsets Market Analysis and Forecasts 2019-20247. Conclusions and Recommendations

Cognitive Informatics Market by Technology, Solution (Smart Data, Self-Adaptive Software, Self-Correcting Infrastructure, Cognitive Analytics), Sector (Consumer, Enterprise, Industrial, Government), Industry Vertical, and Region 2019-20241. Executive Summary2. Introduction3. Technologies and Applications4. Company Analysis5. Cognitive Informatics Market Analysis and Forecasts6. Conclusions and Recommendations

Companies Mentioned:

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Artificial Intelligence (AI) Solutions and Market Opportunities to 2024: A Comprehensive 10-Report Research Bundle - Yahoo Finance

It’s artificial intelligence to the rescue (and response and recovery) – GreenBiz

This article is adapted from GreenBiz's weekly newsletter, VERGE Weekly, running Wednesdays. Subscribe here.

As global losses rack up from climate change-exacerbated natural disasters from voracious wildfires to ferocious hurricanes communities are scrambling to prepare (and to hedge their losses).

While information technologies such as machine learning and predictive analytics may not be able to prevent these catastrophes outright, they could help communities be better prepared to handle the aftermath. Thats the spirit behind a unique collaboration between Chicago-based technology services company Exigent and the Schulich School of Business at York University in Toronto, one that aims to create a more cost-effective and efficient marketplace for disaster relief and emergency response services.

The idea is to help state and provincial governments collectively build a more centralized inventory of relief supplies and other humanitarian items based on the data from a particular wildfire or hurricane season.

Rather than buying supplies locally based on the predictions something many small towns in fire-prone areas can ill-afford a community would buy "options" for these services in the marketplace being developed through this partnership. If the town ultimately doesn't need the items, it could "trade" them to another region that does have a need, either in the same state or another location. In effect, towns across a state or region or even country could arrange for protection, without having to make that investment outright.

"Why are we not packing those crates in March, because they are going to go somewhere?" asked Exigent CEO David Holme, referring to the current system.

The most obvious reason is that its expensive: Relief suppliers won't invest in making items unless they have certainty of orders. The intention of the Exigent-Schulich project is to move from a system that is 100 percent reactive, and consequently very slow, to one that is at least 50 percent predictive that can deliver help far more quickly, he said.

To do this, Exigent is working with AI students at Schulich to use information about a communitys demographics, geology and topography, and existing infrastructure to predict what areas affect could need: how many first-aid kits to treat local citizens or how many cement bags to rebuild structures or how many temporary housing units for residents and relief workers. All sorts of data is being consulted, from census information to historical weather data to forward-looking models for wind direction, temperature and humidity, noted Murat Kristal, program director for the Schulich masters program that is involved in the project.

Governments and decision makers are acting in a reactive way right now.

The initial focus of the joint Exigent-Schulich work is on gathering data related to wildfires in Canada and the United States. The prevalence of Californias fires captures many headlines: the insurance losses from the Camp, Hill and Woolsey fires in November 2017 have topped $12 billion. Although it gets far less attention, Texas is also highly prone to wildfires and 80 percent of them are within two miles of a community. To the north, Canadian provinces such as Alberta and Ontario are also at risk: There are an average of 6,000 fires in Canada annually.

Exigent estimates that by deploying supplies to affected regions more quickly, the platform its developing a pilot version is due in June might cut recovery costs by 20 percent and drive down premiums in at-risk regions. "The municipalities and insurers can collaboratively benefit," Holme said. "The more Ive studied the idea, the more useful it seems."

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It's artificial intelligence to the rescue (and response and recovery) - GreenBiz

New Solar Estimator Shows How AI Will Transform the Home Improvement – AiThority

This product has emerged in a sector that is arguably the most difficult to generate online estimates for. Solar panel power output varies due to the specific characteristics of each roof, which include direction, angle, and available roof space.Once the panel layout is created for a specific roof, there is still the issue of several-thousand electric utility companies with even more rate plans to take into consideration.

Read More: SuperData Launches First-Ever XR Market Intelligence Platform

Accounting for all of these factors is extremely complex and has meant that, to date, a consumer could not find the solar savings potential of their home unless they spoke to a solar company. This is no longer necessary, as a consumer using Solar-Estimate.org can generate an accurate estimate simply by entering their address and the dollar amount of their most recent power bill. It is amazingly simple, given the complexity of the factors that need to be measured.

With the new home solar estimator, machine-learned artificial intelligence has been utilized to measure each individual roof and determine roof plane direction. An in-house-developed algorithm was then used to fill the appropriate parts of each roof with solar panels in a particular order, favoring areas that offered the most energy output potential with the least amount of shading.

The tool is groundbreaking not only for what it does for the solar industry, but the way in which it shows other AI developers how they should be bringing their technology to market. However, its near-impossible for an AI to deliver a perfect result 100% of the time.

Presenting faulty automated results to prospective customers brings down conversion rates and ultimately results in financial loss. Because of this, the integration of AI into home improvement calls to action has been nearly non-existent. Solar-Estimate.org has addressed this concern by putting a backup plan into place.

Read More: FiO Fixes Wine, Gaming and Fitness Industry Pain Points

In the event that the calculator detects a faulty automated result, the user is presented with a manual solar panel layout option instead of being given incorrect information. Nothing fails from the users point of view, and they can seamlessly continue through the rest of the estimation process.

Meanwhile, the faulty result is then passed back to Solar-Estimate.org to further train the machine learning brain via supervised learning. This continuously improves the calculators AI opening the door for greater accuracy and the possibility of additional use cases.

Solar-Estimate.orgs new Solar Panel Layout Tool is trailblazing on several fronts. Its the first online roof layout tool that incorporates machine learning. It requires less knowledge than any professional tool to use. Its also the first free tool available to consumers that takes into account roof direction and angle, determines how many panels can fit on their roof, and then generates an accurate financial estimate.

Read More: AiThority Interview with Pedro Arellano, VP of Product Marketing at Looker

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New Solar Estimator Shows How AI Will Transform the Home Improvement - AiThority

Boschs A.I.-powered tech could prevent accidents by staring at you – Digital Trends

Most cars sold new in 2019 are equipped with technology that lets them scope out the road ahead. They can brake when a pedestrian crosses the road in front of them, for example, or accelerate on their own when a semi passing a slower vehicle moves back into the right lane. Now, Bosch is developing artificial intelligence-powered technology that opens new horizons by teaching cars how to see what and who is riding in them. It sounds creepy, but it could save your life.

Boschs system primarily relies on a small camera integrated into the steering wheel. Facial-recognition technology tells it whether the driver is falling asleep, looking down at a funny video on a phone, yelling at the rear passengers, or otherwise distracted. Artificial intelligence teaches it how to recognize many different situations. The system then takes the most appropriate action. It tries to wake you up if youre dozing off, and it reminds you to look ahead if your eyes are elsewhere. Alternatively, it can recommend a break from driving and, in extreme cases, slow down the car to prevent a collision.

Driver awareness monitoring systems are already on the market in 2019. Cadillacs Super Cruise technology notably relies on one to tell whether the driver is paying attention, but Boschs solution is different because its being trained to recognize a wide variety of scenarios via image-processing algorithms. This approach is similar to how the German firm teaches autonomous cars to interpret objects around them. Real-world footage of drivers falling asleep (hopefully on test tracks, and not on I-80) shows the software precisely what happens before the driver calls it a night.

This technology can also keep an eye on your passengers. Thanks to a camera embedded in the rearview mirror, the system can keep an eye on the people riding in the back, and warn the driver if one isnt wearing a seat belt. It can even detect the position a given passenger is sitting in, and adjust the airbags and seat belt parameters accordingly. Safety systems are designed to work when someone is sitting facing forward and upright, but thats not always the case. If youre slouching in the back seat (admit it, it happens), the last thing you want is the side airbag to become a throat airbag.

Smartphone connectivity plays a role here, too. The same mirror-mounted camera recognizes when a child is left in the back seat, and it automatically sends an alert to the drivers smartphone. It notifies the relevant emergency services if the driver doesnt come back after a predetermined amount of time.

Looking further ahead, when autonomous technology finally merges into the mainstream, this tech could tell the car if the driver is ready to take over. Theres no sense in asking someone to drive if theyre asleep, or if theyve hopped over the drivers seat to chill on the rear bench. Autonomy will come in increments, so its not too far-fetched to imagine a car capable of driving itself at freeway speeds, when the lane markings are clear, but not in crowded urban centers.

The footage captured by the cameras cant be used against you or yours, according to Bosch, because its neither saved nor shared with third parties. Still, its a feature that will certainly raise more than a few concerns about privacy.

The technology could reach production in 2022, when European Union officials will make driver-monitoring technology mandatory in all new cars. Lawmakers hope the feature will save 25,000 lives and prevent at least 140,000 severe injuries by 2038. Theres no word yet on when (or whether) it will come to the United States. Bosch doesnt make cars it never has so its up to automakers to decide whether its worth putting in their new models.

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Boschs A.I.-powered tech could prevent accidents by staring at you - Digital Trends

Schlumberger inks deal to expand artificial intelligence in the oil field – Chron

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services.

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services.

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services.

Oilfield service giant Schlumberger has inked a deal to expand its offerings of artificial intelligence products and services.

Schlumberger inks deal to expand artificial intelligence in the oil field

Oilfield service giant Schlumberger has inked a deal to expand the use of artificial intelligence technology in the oil patch.

In a statement, Schlumberger announced it had entered into an agreement the New York software company Dataiku.

Under the agreement, the two companies will work together to develop artificial intelligence products and services for Schlumberger's exploration and production customers.

Service Sector: Baker Hughes enters deal to boost AI in the oil field

With U.S. crude oil prices stuck in the mid-$50 per barrel range, many energy companies are adopting digital tools to increase efficiency and lower costs.

The deal between Schlumberger and Dataiku comes less than a month after oilfield service company rival Baker Hughes entered into a similar deal withtech giant Microsoft and Silicon Valley artificial intelligence company C3.ai.

Fuel Fix: Get daily energy news headlines in your inbox

Headquartered in Paris with its principal offices in Houston, Schlumberger is the largest oilfield service company in the world with more than 100,000 employees in 85 nations.

The company posted a $2.2 billion profit on $32.8 billion of revenue in 2018.

Read the latest oil and gas news from HoustonChronicle.com

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Schlumberger inks deal to expand artificial intelligence in the oil field - Chron

8 Artificial Intelligence, Machine Learning and Cloud Predictions To Watch in 2020 – Irish Tech News

Artificial Intelligence, Machine Learning and Cloud Predictions by Jerry Kurata and Barry Luijregts, Pluralsight. In this article, they share their predictions for the ways that AI, ML and the cloud will be used differently in 2020 and beyond.

This decade has seen a seismic shift in the role of technology, at work and at home. Just ten years ago, technology was a specialist discipline in the workplace, governed by experts. At home things were relatively limited and tech was more in the background. Today technology is at the centre of how everyone works, lives, learns and plays. This prominence is shifting the way we think about, use, interact with and the expectations we have for technology, and we wanted to share some reflections and predictions for the year ahead.

AI Jerry Kurata

Increased User Expectations

As users experience assistants like Alexa and Siri, and cars that drive themselves, the expectations of what applications can do has greatly increased. And these expectations will continue to grow in 2020 and beyond. Users expect a stores website or app to be able to identify a picture of an item and guide them to where the item and accessories for the item are in the store. And these expectations extend to consumers of the information such as a restaurant owner.

This owner should rightfully expect the website built for them to help with their business by keeping their site fresh. The site should drive business to the restaurant by determining the sentiment of reviews, and automatically display the most positive recent reviews to the restaurants front page.

AI/ML will go small scale

We can expect to see more AI/ML on smaller platforms from phones to IoT devices. The hardware needed to run AI/ML solutions is shrinking in size and power requirements, making it possible to bring the power and intelligence of AI/ML to smaller and smaller devices. This is allowing the creation of new classes of intelligent applications and devices that can be deployed everywhere, including:

AI/ML will expand the cloud

In the race for the cloud market, the major providers (Amazon AWS, Microsoft Azure, Google Cloud) are doubling down on their AI/ML offerings. Prices are decreasing, and the number and power of services available in the cloud are ever increasing. In addition, the number of low cost or free cloud-based facilities and compute engines for AI/ML developers and researchers are increasing.

This removes much of the hardware barriers that prevented developers in smaller companies or locales with limited infrastructure from building advanced ML models and AI applications.

AI/ML will become easier to use

As AI/ML is getting more powerful, it is becoming easier to use. Pre-trained models that perform tasks such as language translation, sentiment classification, object detection, and others are becoming readily available. And with minimal coding, these can be incorporated into applications and retrained to solve specific problems. This allows creating a translator from English to Swahili quickly by utilizing the power of a pre-trained translation model and passing it sets of equivalent phrases in the two languages.

There will be greater need for AI/ML education

To keep up with these trends, education in AI and ML is critical. And the need for education includes people developing AI/ML applications, and also C-Suite execs, product managers, and other management personnel. All must understand what AI and ML technologies can do, and where its limits exist. But of course, the level of AI/ML knowledge required is even greater for people involved with creating products.

Regardless of whether they are a web developer, database specialist, or infrastructure analyst, they need to know how to incorporate AI and ML into the products and services they create.

Cloud Barry Luijbregts

Cloud investment will increase

In 2019, more companies than ever adopted cloud computing and increased their investment in the cloud. In 2020, this trend will likely continue. More companies will see the benefits of the cloud and realize that they could never get the same security, performance and availability gains themselves. This new adoption, together with increased economies of scale, will lower prices for cloud storage and services even further.

Cloud will provide easier to use services

Additionally, 2020 will be the year where the major cloud providers will offer more and easier-to-use AI services. These will provide drag-and-drop modelling features and more, out-of-the-box, pre-trained data models to make adoption and usage of AI available for the average developers.

Cloud will tackle more specific problems

On top of that, in 2020, the major cloud vendors will likely start providing solutions that tackle specific problems, like areas of climate change and self-driving vehicles. These new solutions can be implemented without much technical expertise and will have a major impact in problem areas.

Looking further ahead

As we enter a new decade, we are on the cusp of another revolution, as we take our relationship with technology to the next level. Companies will continue to devote ever larger budgets to deploying the latest developments, as AI, machine learning and the cloud become integral to the successful running of any business, no matter the sector.

There have been murmurings that this increase in investment will have an impact on jobs. However, if the right technology is rolled out in the right way, it will only ever complement the human skillset, as opposed to replacing it. We have a crucial role to play in the overall process and our relationship with technology must always remain as intended; a partnership.

Jerry Kurata and Barry Luijregts are expert authors at Pluralsight and teach courses on topics including Artificial Intelligence (AI) and machine learning (ML), big data, computer science and the cloud. In recent years, both have seen first-hand the development of these technologies, the different tools that organisations are investing in and the changing ways they are used.

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Joint Artificial Intelligence Center Director tells Naval War College audience to ‘Dive In’ on AI – What’sUpNewp

Were on a mission to provide quality local and independent community news, information, and journalism.

Saying the most important thing to do is just dive in, Lt. Gen. Jack Shanahan, director of the Department of Defense Joint Artificial Intelligence Center, talked to U.S. Naval War College students and faculty on Dec. 12 about the challenges and opportunities of fielding artificial intelligence technology in the U.S. military.

On one side of the emerging tech equation, we need far more national security professionals who understand what this technology can do or, equally important, what it cannot do, Shanahan told his audience in the colleges Mahan Reading Room.

On the other side of the equation, we desperately need more people who grasp the societal implications of new technology, who are capable of looking at this new data-driven world through geopolitical, international relations, humanitarian and even philosophical lenses, he said.

At the Joint AI Center, established in 2018 at the Pentagon, Shanahan is responsible for accelerating the Defense Departments adoption and integration of AI in order to quickly affect national security operations at the largest possible scale.

He told the Naval War College audience that the most valuable contribution of AI to U.S. defense will be how it helps human beings to make better, faster and more precise decisions, especially during high-consequence operations.

AI is like electricity or computers. Like electricity, AI is a transformative, general-purpose enabling technology capable of being used for good or for evil but not a thing unto itself. It is not a weapons system, a gadget or a widget, said the Air Force general whose prior position was director of Project Maven, a Defense Department program using machine learning to autonomously extract objects of interest from photos or video.

If I have learned anything over the past three years, its that theres a chasm between thinking, writing and talking about AI, and doing it, Shanahan said.

There is no substitute whatsoever for rolling up ones sleeves and diving in an AI project, he said.

Shanahan said adapting the Department of Defense to the AI world will be a multigenerational journey, requiring both urgency and patience.

He compared this moment in history to the period between World War I and World War II, when new ideas led to an explosion not just in military innovation but in technology advancement that eventually helped create Silicon Valley.

Now, the private sector is leading the way on AI, which leaves the Defense Department playing catch-up, Shanahan said. However, he added that he sees the U.S. militarys efforts running at a tempo comparable to commercial industry in five years from now.

China, he said, sees AI as a way to leapfrog over the current U.S. defense advantages.

The Chinese military has identified intelligent-ization as a military revolution on par with mechanization from the internal combustion engine, Shanahan said. They are sprinting to incorporate AI technology in all aspects of their military, and the Chinese commercial industry is more than willing to help.

After the speech, in an interview, Shanahan said AI isnt an arms race, but it is a strategic competition.

Regardless of what China does or does not do in AI, we have to accelerate our adoption of it. Its that important to our future, he said.

For example, Shanahan said, in 15 years, what if China has a fully AI-enabled military force, and the United States does not.

To me that scenario brings us an unacceptably high risk of failure because of the speed of the fight in the future, which we have not been prepared for as a result of fighting in the Middle East for 20-some years, he said. That, to me, is the best stark example of why we have to move in this direction.

Looking at the importance of military higher education in the effort, Shanahan said the role of institutions such as the Naval War College is to make a place for the militarys rising stars to think about new ways to harness AI.

What you are here to do is think strategy, the strategic and societal implications of using emerging and disruptive technology, he said.

You will find somebody comes out of here that has a spark, a lightbulb moment, that wants to go back and try this idea they developed while they were here, said Shanahan, who is a 1996 graduate of the Naval War Colleges College of Naval Command and Staff.

The Joint AI Center director said another role for military higher-education institutions is research on practical applications of AI.

Its the thinking about grand strategy and technology together that may be as important to the future of operating concepts as anything else, he said.

Source: USNWC Public Affairs Office | Jeanette Steele, U.S. Naval War College Public Affairs

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Alchemy is secretly fixing blockchains node nightmare – TechCrunch

The top cryptocurrency companies have quietly begun to outsource their infrastructure problems to a tiny stealth startup. Its called Alchemy. Today its making the big public reveal of its technology that could help developers finally build the killer use case atop Bitcoin or Ethereum.

If the operating system connected computers and software, and if browsers connected HTTP to web apps, Alchemy wants to be the bridge enabling the blockchain ecosystem. Its this middle layer thats produced Microsoft, Apple and Google some of the most valuable companies in the world.

How does Alchemy work? It replaces the nodes that businesses use to read and write blockchains with a faster, more scalable decentralized architecture. It also provides tools for analytics, monitoring, alerting, logging and debugging for cryptocurrency-connected software. The two-year-old startup already powers infrastructure for hundreds of businesses serving over one million customers in 200 countries per week, including big names like Augur, 0x, Cryptokitties, Kyber and the Opera browser.

Right now people are trying to build skyscrapers with picks and shovels. We need to give them construction equipment, Alchemy co-founder and CEO Nikil Viswanathan tells me. None of this exists for blockchain.

Investors are lining up to see that it will. Alchemy is now announcing that it has raised $15 million through a seed round and now a Series A led by Pantera Capital, and joined by Stanford University, Coinbase, Samsung, SignalFire, plus angels like Charles Schwab, Yahoo founder Jerry Yang, LinkedIn founder Reid Hoffman, Google chairman John Hennessy and more.

For any new technology, developer infrastructure and tools are required to enable broader application development and adoption. Weve seen this happen in previous tech waves like PC and the web, says Yang, who rarely does interviews. Alchemy is trying to do the same thing for the blockchain space . . . they have the opportunity to meaningfully accelerate the entire blockchain industry.

Despite its momentum, its immediately clear that Alchemy doesnt want to become another overhyped blockchain promise that doesnt deliver. There are two vanity metrics in Silicon Valley, Viswanathan declares. How much money youve raised and how many people you have on your team. In reality, you want to keep both of these as low as possible while being a big success.

Alchemy co-founders (from left): Nikil Viswanathan and Joe Lau

Viswanathan and co-founder and CTO Joe Lau already had a shot at the startup A-league. For a brief moment, their simple social app for finding out if friends could hang out via emojis, called Down to Lunch, topped the app rankings and had VCs beating down their door with term sheets. But the pair of Stanford computer science grads got knocked off the charts by a vicious rumor that their app helped kidnappers, which they call a purposeful smear campaign.

The two were resilient, though, drawing on Viswanathans time in product management mentored by executives at Google, Microsoft and Facebook. He sat next to Mark Zuckerberg, brought Steve Ballmer to campus and had meetings with Larry and Sergey. His takeaway was that You can have massive impact on the world. If they can do it, we can do it too.

So when cryptocurrency hit the zeitgeist in 2017, they cast aside the budding successors to Down to Lunch theyd built, and dove in head first. Through the frustration of spinning up nodes to build anything decentralized, they spotted the opportunity to start something with more potential than a college kids social app. They saw the chance to seize the bridge layer of the next computing platform the blockchain.

One strategy the duo is carrying over from Down to Lunch is allowing any Alchemy customer to contact them directly. They actually put their phone numbers inside DTL to keep their ears open for problems, but soon were receiving about 10,000 text messages per day from the apps millions of users, rendering Viswanathans iMessage inoperable. He shows me the Youre our only hope email he Hail Maryd to Tim Cook begging for a fix that was eventually granted.

Now, most of Alchemys lean team founders included are openly available to customers via Telegram for instant assistance. Viswanathan justifies a CEO fielding complaints, saying Its not just good customer support. It gives us really great user feedback. He doesnt want that to change, even with the new cash from investors, including Stanfords StartX, Mayfield, Kenetic, Dreamers and former Thompson Reuters CEO Tom Glocer.

Viswanathan and Lau are known in entrepreneur circles for embracing the thrifty ramen-fueled startup life, with Lau having once spent six straight days in the office to keep things afloat while Down to Lunch was blowing up. They still run a scrappy ship, with staffers sitting on cardboard boxes until chairs arrive for their new but still snug office.

Its 1972. Who used computers? Only computer companies. By 2019, the entire world. In 1992, who used the web? Only internet companies. By 2019, the entire world. In 2019, who uses blockchain? Viswanathan explains.

The implication is that ubiquitous adoption is coming to transactions entwined with code, and blockchain will become so common we dont even talk about it the same way. No one says Im using an internet application, Viswanathan laughs.

Making the same true for blockchain is Alchemys goal. Typically just to get started, businesses must spend tens of thousands of dollars to set up and operate nodes that can interpret and write to blockchains. Its not only slow and costly, but it sucks up a ton of engineering resources. And worse yet, node architecture may not gracefully support massive scale. Load balancing across servers, as is traditional with web applications, breaks down when nodes mistakenly return block numbers out of sync. Blockchain apps run slow and buggy, or crash completely. Programmers spend nights awake fighting fires.

Alchemy uses a whole different decentralized architecture, says Lau. This lets it separate different types of data into special data stores for much faster and more reliable access. The result is that its easier to build apps on Bitcoin, Ethereum and other coins with fewer engineering resources. In that sense, its not unlike an Amazon AWS for blockchain.

But Alchemy also takes inspiration from Microsoft, offering a range of tools for managing decentralized apps. These include analytics for tracking usage, monitoring of performance and availability, alerting to inform teams when things break, logging for tracing back errors and debugging for getting apps running right again. On the traditional web, this would be the work of multiple startups, but because blockchains standardize the database and how its accessed, Alchemy can do it all and is already building more tools.

Since using Alchemy, our team has been able to refocus its time on building new product features for Augur that we wouldnt have been able to otherwise, Augurs director of operations Tom Kysar tells me. We used to spend a notable amount of time dealing with infrastructure issues, and now we dont worry at all. His prediction market startup writes that Alchemy resolved 98% of reliability issues and made its users applications load 3X faster.

Crypto exchange AirSwap ditched the node system it had built and open-sourced to use Alchemy instead. Another client said it got 25% of its engineering staff back. When I looked at its top competitor in infrastructure, the Ethereum founder-backed Infura, most of the clients it lists on its site are now actually working with Alchemy. Alchemy has grown quietly and quickly to become a leading infrastructure provider. Were excited to see how Alchemy will push forward the crypto ecosystem, says Coinbase COO Emilie Choi.

Another heartening sign? Alchemy has already turned away acquisition interest. For us, selling for $100 million or $1 billion isnt a success, Viswanathan says. They want to empower a generation of developers.

Ive been closely involved in companies that shaped the earlier internet like Google, says Hennessy, the former president of Stanford. What Alchemy is doing in blockchain has the potential to be similarly transformational, and Nikil and Joe have the deep technical background and proven entrepreneurial track record to make it happen. The 30-year-old Lau tells me the advice of older tech luminaries is invaluable. Hennessy saw the rise of computers. Its good to have people who saw things we didnt see.

At my dining room table in San Franciscos Mission District, Viswanathan giddily scribbles out a grid to chart the history of developer platforms.

In the first age, IBM underestimated the market of personal computers, allowing Microsoft to swoop in with Windows that opened PCs to third-party software devs. In the second age, it was the browser and then the mobile OS that let Apple and Google conquer the middle ground between HTTP and our favorite apps. Alchemy assumes that lucrative spot in Viswanathans vision of the blockchain-equipped third age. This is what spins the innovation cycles and increases speed of development, he says of this infrastructure layer.

The real question, though, is one of timing. The biggest threat is how quickly will crypto become a massive market, Viswanathan admits. He says Alchemy is already making a fair amount of money selling tools and service packages that start in the tens of thousands of dollars. But it may need its technology to jumpstart the blockchain developer flywheel by powering a breakout success serving mainstream consumers that could in turn attract more creators to the industry.

Convincing developers, especially incumbent corporations, to outsource a key part of their infrastructure to Alchemy could be tough for the engineering-focused startup. It only hired its first salesperson last week to help pitch big banks and commerce giants intrigued by blockchains efficiencies. Crypto zealots might also balk at running their decentralized apps through acentral platform. Luckily, because Alchemy powers everything from exchanges to games to finance to integrating distributed ledgers into traditional businesses, it just needs something to win on the blockchain.

Many startups have died waiting. Why will Alchemy persevere? The founders say its a sense of duty to pay it forward. I just feel so lucky to live in 2019 and have technology and computers and internet. Never before in human history before the last 20 years could you build something and potentially have everyone on the planets life improved by it, Viswanathan tells me.

These technology shifts happen every 20 to 30 years. If this is a massive technology shift, we have a chance to build a really foundational company in the space. Its not about the money, he concludes with a bright-eyed smile. There are so many less stressful ways than startups to make money.

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Alchemy is secretly fixing blockchains node nightmare - TechCrunch

How Does The Nature Of Blockchain? – Finextra

In every 30, 40 or 50 years, the status quo must be challenged, modified, transformed, in order to avoid the accumulation of power, centralization, totalitarianism, and corruption. Corruption is inherent in power systems, and there is no more tyrannical power than power over money.

Only one billion people worldwide have access to banking services, 4 billion have eventual access, and 2 billion have no access for various reasons such as economic constraints, legal problems, or geographic isolation. However, children born today may no longer have a bank account when they are adults.

They will have an application on their mobile devices that will function as their own bank and will be transported in autonomous vehicles. When cryptocurrencies are used massively, 4 billion people isolated from banking and international trade will have access to these services. They will also have the opportunity to protect their money from governments and banks. They will acquire the power to control their future.

The disruptive architecture of blockchain technology, in general, and bitcoin, in particular, provides us with a new way of organizing the world, in exactly the same way that the Internet radically transformed communications. Bitcoin will do the same with money and finance. While the Internet has democratized information, blockchain will democratize assets, money. Let us take into account that, for centuries, the States has had a monopoly on the issuance of money.

Now, you can't talk about bitcoin and altcoins, if you don't know what blockchain is in advance. This technology is one of the four underlying cryptocurrency technologies. It has countless applications, all of them related to the paradigm shift that has governed societies for millennia.

That is, blockchain proposes replacing hierarchical, authoritarian, and centralized institutions with horizontal, consensual, and decentralized institutions or protocols. In this article, we will talk about the characteristics, nature, and essence of blockchain.

Blockchain, a trusted network

It is the concept of decentralization applied to value exchange. Its first application is money, and it is basically a language of exchange. Blockchain generates a dimension of trust implicit in the data it contains, completely eliminating the participation of intermediaries in good faith in a system, whatever it may be. The role of these intermediaries - states, banks, notaries, arbitrators, judges, lawyers, etc. - is to give confidence to the parties that wish to make a transaction or enter into an agreement of any kind, but do not trust each other because they do not know each other.

For a blockchain to be considered as such, it must be:

1. Open

The software that gives life to the blockchain is open-source; therefore, no one should pay licenses or royalties or ask permission to use it and improve it. In the same way, anyone can participate in the network by downloading a partial or total copy of the blockchain and use it according to the previously established consensus rules.

2. Without borders

It is no longer about nation-states as trusted intermediaries. It is about a "redcentric" trust - according to the term coined by Andreas Antonopoulos, author, and guru of bitcoin and blockchain. That is, it must be based on computing, on software code, on the accuracy of mathematics.

The network must not have intermediaries. The network is trust per se, taking into account that all information that travels through it is publicly verifiable through a block explorer, such as blockchain.info.

3. Transnational

The network operates distributed in different geographical locations around the world in nodes that run an exact replica of the blockchain, thus preserving, the same unanimous state, the same truth that cannot be arbitrarily modified by any of the nodes without there being a general consensus.

4. Neutral

It does not serve the purposes of any State, organization, or institution. Each member of the network - called a node - follows the consensus rules neutrally and, if not followed, is simply expelled.

There is no such thing as a good transaction or a bad transaction, an authorized or unauthorized transaction, a legal transaction, or an illegal transaction. In these systems, a transaction can only have two states, valid or invalid, based on the consensus rules. It does not matter who is the sender or the recipient of the transaction, nor is the value of data being transmitted. In other words, it is a non-discriminatory network.

For a system to be open, borderless, transnational, and neutral, it must defend these characteristics of any actor that intends to censor, freeze, modify, revoke and restrict transactions, or prevent the participation of users or countries.

Blockchain or no blockchain?

How can you distinguish between a real blockchain or anything that has taken its name?

If in any context you can replace the word "blockchain" with the term "database," then it is surely not a blockchain. If it is not decentralized, borderless, neutral, resistant to censorship, or open, it is not an innovative technology. It is more of the same disguised as something new. If it restores trust in intermediaries, that is, if it is centrally managed, it is just a common and current database that has appropriated the term "blockchain" as a marketing strategy.

Under these conditions, the alleged private blockchains such as Ripple, Hyperledger, Chain, R3, Monax cannot be considered as true blockchains. A true blockchain must meet the following attributes: open, borderless, transnational, neutral, and censorship-resistant. None of those mentioned in this paragraph comply with them.

Author Bio:

Urvish Macwan, Digital Marketing Manager at Hyperlink InfoSystem,a one of the top software companies in the world.

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How Does The Nature Of Blockchain? - Finextra

EY releases third-generation zero-knowledge proof blockchain technology to the public domain – PRNewswire

LONDON, Dec. 18,2019 /PRNewswire/ --EY today announced the releaseof the third-generation zero-knowledge proof (ZKP) blockchain technology to the public domain on the Ethereum public blockchain. The enhancements of theZKP blockchain technology will help make private transactions on public blockchains more scalableby significantlyreducingtransaction coststhrough batching multiple private transfers together in a single transaction.

The new components of the ZKP blockchain technology include tools for batching multiple proofs together and a solution for reducing the size of an on-chain Merkletree. The combination allows for up to 20 transactions to be done at once and cuts the cost per transaction to around US$0.05. This represents a 400-fold improvement (at constant transaction pricing) over the initial EY prototypeunveiled in October 2018.

The release of the third-generation ZKP technology comes on the heels of astudyconducted by Forrester on behalf of EYin November 2019in whichhalf of respondents cite security (49%) and data privacy (46%) as top blockchainconcerns. Additionally, 45% of respondents cite interoperability as a stumbling block of private blockchain.

Paul Brody, EY Global Blockchain Leader, says:

"This technology is perhaps the most important EY blockchain milestone in making public blockchains scalable for the enterprise. In the prior iteration released in April 2019, public blockchains were already getting competitive with private networks. With this iteration, we cut the cost per transaction by more than 90% again, making private transactions more accessible for mainstream business application."

In addition to beingdeployed on the public Ethereum network, the updated technology can also be deployed on private blockchains built on the Ethereum platform. On private blockchains, itprovides a second layer of security and privacy, supporting more complex privacy models across multiple organizations within industry consortia.

The new ZKP batching function is also the first of several new batching-related functionsthatEY will announcein the coming months to help enable greater scalability. In 2018, EY became the first organization to complete a private transaction on the Ethereum blockchain.

Brody says:

"I believe we will look back upon the industrialization of ZKPs as a key milestone in the wide enterprise migration from private to public blockchains. Organizationsare increasingly seeing the potential for public blockchains, with 75% of enterprises likely to use these networks in the future. The third-generation EY ZKP technology brings us even closer to private and secure transactions on the public blockchain."

Since EY announced the release of theoriginalZKP technology code known as Nightfallinto the public domain, it has been tracked by more than 500 individualsand entities,as well as edited and customizedmore than 80 times. EY is preparing for upcoming changes tothe Ethereum blockchain platform that will permit further performance improvements and allow users to pool transactions together.

The documentation for the third-generationZKP blockchaintechnology can be foundhere.

Note to Editors

About EYEY is a global leader in assurance, tax, transaction and advisory services. The insights and quality services we deliver help build trust and confidence in the capital markets and in economies the world over. We develop outstanding leaders who team to deliver on our promises to all of our stakeholders. In so doing, we play a critical role in building a better working world for our people, for our clients and for our communities.

EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients. Information about how EY collects and uses personal data and a description of the rights individuals have under data protection legislation is available via ey.com/privacy. For more information about our organization, please visitey.com.

This news release has been issued by EYGM Limited, a member of the global EY organization that also does not provide any services to clients.

Kailyn SmigelskiEY Global Media Relations+1 973 715 3624 kailyn.smigelski@ey.com

SOURCE EY

http://www.ey.com

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EY releases third-generation zero-knowledge proof blockchain technology to the public domain - PRNewswire

AMD Joins Blockchain Game Alliance, Hopes The Tech Grows Within The Sector – Benzinga

Computer hardware maker Advanced Micro Devices, Inc. (NASDAQ: AMD) is joining a collaboration of companies seeking to boost the use of blockchain-powered gaming platforms.

AMD said it joined the Blockchain Game Alliance, to help spur the increased use of blockchain in gaming, and in doing so may be creating more business for itself. The company says it can provide the tech to run the blockchain-powered applications that would be needed.

"AMD is in a unique position to offer the best combination of high-performance (central processing units) and (graphics processing units) for demanding blockchain workloads," the company said.

Other gaming concerns, including "Assassin's Creed" makers Ubisoft Entmt S/ADR (OTC: UBSFY) of France, are part of the alliance, as is blockchain software company ConsenSys.

While blockchain has largely been thought of in terms of its role in cryptocurrency adoption and supply-chain and other logistics environments, some experts have said it could play a big role in the future of games. Aside from the obvious use of cryptocurrencies for payment systems, blockchain is seen as potentially allowing the trading of in-game resources, such as weapons, characters and accessories. Some experts have talked about the ability to make items transferrable from one game to another with a blockchain system. It also could protect against fraud - stealing of in-game items or money.

Blockchain has drawn some interest in the gaming industry - games startup Forte this year partnered with Ripple's Xspring to form a $100 million fund aimed at speeding up that integration, for example.

There is some caution:One of the reasons gaming companies have been able to avoid regulation of games as "gambling" is that things players can win, like a loot box, don't have any real-world value. That could changeif a blockchain system made it easier to treat those winnings as currency, Wedbush analyst Michael Pachter noted in a Wired story in May.

AMD's interest in blockchain gaming follows what appears to be a short-lived foray into the cryptocurrency mining equipment space. Blockchain and cryptocurrency publication The Block reported that AMD had significant revenue from that business in early 2018, but appeared to be out of it by the end of last year.

Shares of Advanced Micro Devices were up slightly Wednesday at $42.86

2019 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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AMD Joins Blockchain Game Alliance, Hopes The Tech Grows Within The Sector - Benzinga

Celsius CEO Says Entire Internet Will Become an Application on the Blockchain – Cointelegraph

Speaking at ELEV8CON in Las Vegas on Dec. 10, founder and CEO of Celsius Network Alex Mashinsky said that there is a war brewing between centralized and decentralized networks.

"The centralization of the Internet by companies such as Facebook and Google has created a distorted reality where fake news and blatant lies get the same treatment as documented truths, said Mashinsky.

Mashinsky said that the rise of centralized social media networks has resulted in an increase in fake news, causing a great deal of confusion regarding the basic facts of issues and events.

Mashinsky also noted that fake news stories tend to increase reader engagement, which is then gets converted into huge profits for companies like Facebook and Google.

If such lies bring engagement (which is immediately converted into huge profits) then they deserve to be pushed and promoted by the worlds best algorithms, which work tirelessly to extract every dollar out of them. No need to worry about our democracy or human rights, corporate mega-profits can cure all ills if we just issue PR that we donated 1% of what we made to a school or the disabled, said Mashinsky.

Mashinsky told Cointelegraph that a blockchain-based data platform is the only solution capable of combating fake news. A system such as this can verify the identity of users and the authenticity of data, bringing a much-needed layer of transparency to the online world.

Mashinsky mentioned that a project like Block.ones Voice, which uses blockchain technology to record the inner operations of its network, will be one of the first decentralized applications to bring trust to the internet. This is a social media platform that was unveiled by EOSIO creator Block.One. The beta version is scheduled to launch on Feb.14, 2020.

Unlike centralized social media networks that extract personal user information without permission, all operations across Voice are recorded on the blockchain. Moreover, while Mashinsky noted that social networks are vulnerable to fake news due to the fact that anyone can post whatever they please, Voice users must verify their identities. This provides a way to decrease fake accounts and illegitimate content, as everything posted can be traced back to specific people.

Yet while platforms like Voice are being brought to market, Mashinsky pointed out that gaining user traction remains a challenge.

Platforms designed to protect us and act in our best interest already exist. We are just waiting for 7 billion people to discover them. When they do, the entire internet will become an application on the blockchain said Mashinsky.

To his point, Mashinsky presented a slide during his keynote entitled, Blockchain Economics. Written on the slide was E=MC2. In this case, E stood for Ethereum, M stood for members, and C stood for Consensus.

If you want the Ethereum blockchain to ever be valuable you need members and consensus, explained Mashinsky.

Mashinsky ended his keynote by explaining that we already went through the blockchain hype curve, but that we still need to cross the chasm. He noted that stable coins are a great stepping stone to get people to understand the potential of cryptocurrency. He also recommended to stop using centralized networks entirely:

The amazing thing is that if we stop this addiction, Facebook will lose their power and disappear just as fast as they got hold of it. How do I know that? I helped make the old phone companies that charged $700 a month to disappear. Now, its free because [Voice over IP] allows us to take the power back and leave these toll collectors behind. It is up to us to decide if the future will be more centralized or decentralized.

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Celsius CEO Says Entire Internet Will Become an Application on the Blockchain - Cointelegraph

Anthem Will Use Blockchain To Secure Medical Data For Its 40 Million Members In Three Years – Forbes

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Anthem, the second-largest health insurance company in the U.S, has started to use blockchain technology to help patients securely access and share their medical data. The company plans to roll out the feature, which is in pilot testing now, to groups of members in the next few months. All 40 million members will have access to it in the next two to three years, according to company officials.

What blockchain potentially gives us the opportunity to do is not worry about those trust issues, said Anthem CEO Gail Boudreaux at the 8th Annual Forbes Healthcare Summit in New York last week. We have an opportunity now to share data that people can make their own decisions on.

Moira Forbes talks with Anthem CEO Gail Boudreaux at the 8th annual Forbes Healthcare Summit.

In January, Anthem announced that it was working with Aetna, Health Care Service Corporation, IBM and PNC Bank in a new partnership focused on blockchain. Their goal, says Rajeev Ronanki, chief digital officer at Anthem, is to help keep patient data private while increasinginteroperability (the ability of different digital health systems to exchange information) and trust between partners.

Blockchain, made popular by cryptocurrencies such as bitcoin, is a decentralized database that creates a record of when data is accessed or exchanged. In the healthcare world, this allows companies, especially those that work with medical records, to move patient data securely and cut out redundancies. Executives at Anthem, which has patient medical data based on insurance claims, believe that using blockchain will give patients more immediate access to their records as well as allow them to control who views their health data.

In the current Anthem pilot program, users can open an app on their phones, scan a QR code, and instantly grant different healthcare providers access to their health records but only for a limited amount of time. As soon as the appointment is over, users can revoke access and maketheir medical records private again. This system is live for a pilot test group of about 200 company employees, Ronanki says, and Anthem plans to roll it out in phases to members beginning in 2020.

Ronanki says Anthem is already using blockchain in several ways, and more programs are still in development. In total, they plan to have about a dozen uses for blockchain, Ronanki says, 40% of which are already live. The blockchains that they are using are Hyperledger Fabric, Burrow and Indy. Their current transaction volumes average about 300,000 a week for patient health data. We think it's a pretty transformative thing for health," Ronanki says.

We're essentially creating a permission-based system that would allow consumers to own their healthcare data, and then make it available to providers as appropriate," he says.

Another way the insurer is making use of blockchain: Anthem will eventually start using the technology to process insurance claims and coordinate benefits faster. Sometimes a patient is covered by more than one provider, Ronanki says, and it can take a lot of time to chase down information. Using blockchain, Anthem will be able to quickly access the most up-to-date data about which person or treatments are covered by which company. We can create trusted partnerships, without having to share the underlying data," Ronanki says.

Michael del Castillo contributed to this story.

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Anthem Will Use Blockchain To Secure Medical Data For Its 40 Million Members In Three Years - Forbes

CoinEX Chief Executive Interview: Centralized Blockchain Exchanges Are the Biggest Issues in the Industry – AiThority

Haipo Yang, the chief executive of CoinEx a recognized digital coin exchange service providertalked to LearnBonds.comabout the cryptocurrency market and the main challenges that it is currently facing. He also spoke about Facebooks Libra cryptocurrency and how it could become a blockchain landmark.

Read More: Measuring CCPA Preparedness of Big Data Companies: Facts and Insights

Mr Haipo explained that a poor user experience is one of the main shortcomings of decentralized exchanges (DEX) in the industry. However, the company has been working on an exchange that offers high performance and flexibility to users.

He has also highlighted that almost all blockchain exchanges are centralized, which is believed to be the biggest bug in this field. This is where he considers that DEX will have the possibility to change the way in which exchanges work through a decentralized approach.

Read More: AiThority Interview Series with Steve Auerbach, CEO at Alegeus

Furthermore, he stated that token is the major application of blockchain technology and he named Ethereum (ETH) as the most important platform for issuing tokens.

He also said that the Libra cryptocurrency, announced by Facebook in June this year, could have a game-changing effect on the industry

Mr Haipo said:

In the long run, Facebook has a large user base in the Internet industry, and it has brought a tremendous demonstration effect to the traditional Internet. In the future, it will bring a large number of new users to the blockchain industry.

Regarding Central Bank Digital Currencies, Mr Haipo said that they show governments are recognizing the different use cases of blockchain technology. Finally, the exchange boss said that in order for a new alt-season to start, it will be necessary for Bitcoin to start losing part of its market dominance.

Read More: Like A Machine: How RPA, ML And AI Deliver Smoother And More Streamlined Processes To Accounts Receivable Departments

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CoinEX Chief Executive Interview: Centralized Blockchain Exchanges Are the Biggest Issues in the Industry - AiThority

Experimenting with blockchain technology to innovate the research process – Marketing Interactive

This post is sponsored by Kadence.

Technology is shaking up every industry and nowhere is its impact more prevalent than in market research. Leveraging the power of blockchain technology, Kadence recently participated in a trial with a blockchain technology start-up to examine and understand what value it can bring.

When mentioned, blockchain technology is often talked about within the context of fintech or accounting, where the core of its effectiveness and efficiencies works quite well in addressing certain procedural aspects specific to those industries.

That, in and of itself, qualifies it as an innovation, since it is a solution to some of the problems that manifest in those sectors.

Seeking innovation, and finding ways to implement it, within the research process, has always been an integral part of Kadences brand identity. As such, we were interested in the potential of how blockchain technology can improve the field of research, which meant a certain degree of experimentation was needed to prove its worth.

Therefore, when we were invited to be a part of a pilot programme by Measure Protocol, a technology company whos pioneering the use of blockchain in market research studies, we jumped at the chance and used the opportunity to co-learn its potential benefit with Unilever Food Solutions, an existing client.

At the centre of this experiment is Measure Protocols app, which is based on the idea of creating a marketplace for person-based data. All data from the consumers is stored in the app, once they download it and answer questions posed to them.

The collected data is transferred to the research agency directly, via blockchain, without a middleman, only when requested. These consumers are then remunerated for their personal data

We approached the study with three hypothesised problem statements, all related to common issues that are encountered during the quantitative research process:

2. Immediacy of task completion in-the-moment data capture is often the most accurate form of reported data, as it removes the memory effect of recalling.

3. Data quality on top of immediacy, having a robust verification process is often an important part of the process as well to maintain the integrity of a studys findings.

When analysing the results, we found the blockchain-enabled app ended up resolving these three problem statements elegantly through the core principles of the technology:

2. 60% of responses were submitted within an hour of the question/tasks being posed to the respondents, an indication of respondents who felt empowered by the assurance of the app itself.

3. Respondent verification, based on app design and passive data capture, increased the validity and integrity of the survey findings.

Getting a true sense of who target consumers are, and what they are like, will always be fundamental to any piece of marketing tactical or strategic.

We at Kadence would like to think that our capability in spotting potential innovation present in nascent technology, and having clients who are able to work with us like trusted partners, puts us in a better place than others at being able to realise the future of market research now, and to raise its impact across the region and beyond.

If you would like to know more about other innovative technology that Kadence offers in the research process, as you go about perfecting your marketing efforts, feel free to reach out at singapore@kadence.com.

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Experimenting with blockchain technology to innovate the research process - Marketing Interactive

OOC Oil & Gas Blockchain Consortium Successfully Tests Digitizing the AFE Balloting Process Leveraging Blockchain Technology – Business Wire

HOUSTON--(BUSINESS WIRE)--The OOC Oil & Gas Blockchain Consortium today announced that it has engaged with GuildOne to successfully test the industrys first blockchain application for Authorization for Expenditure (AFE) balloting.

AFEs are used in the oil and gas industry to approve capital and expense projects and determine working interests among parties participating in projects under a joint operating agreement. Conventional AFE balloting is a manually intensive and largely paper-driven process that can take significant time and frequently results in subsequent working interest disputes. Blockchain seeks to streamline the approval process reducing cycle time and errors, as well as provide immutable documentation of the final working interests.

The AFE balloting proof of concept (POC) tested the ability to send ballots and make elections digitally utilizing blockchain technology, with smart contract enabled workflows calculating working interests automatically. In the test, the operator electronically submitted AFEs under multiple scenarios to nine non-operating partners using blockchain nodes, which then automatically calculated working interest percentages based on the elections made by each partner. The balloting lasted several rounds until a final working interest among participating parties was determined.

We are very excited to have completed the building and testing of this POC in less than four months, said Rebecca Hofmann, chairman of the OOC Oil & Gas Blockchain Consortium. Successfully proving the application of blockchain in the AFE balloting process with all ten operator member companies demonstrates the power of this technology and its ability to transform fundamental oil and gas business activities.

The POC completes an important first step in the path to transforming joint venture management in the oil and gas industry. In 2020, the AFE balloting scope will be expanded to capture more complex scenarios, while initial design and testing will be performed on the joint interest billing (JIB) exchange process, which deals with the billing and payment of expenditures between joint venture partners. The intent is to integrate JIB exchange with AFE balloting for a seamless end-to-end way to manage joint venture operations.

AFE balloting represents just one of several use cases with common industry pain points being advanced within the consortium, said JD Franke, vice-chairman of the OOC Oil & Gas Blockchain Consortium. The success of this POC demonstrates how the industry can use blockchain technology to address these pain points, and we expect to leverage learnings from this project to realize key blockchain frameworks and guidelines for the oil and gas industry.

About the OOC Oil & Gas Blockchain Consortium

The OOC Oil & Gas Blockchain Consortium is an oil and gas industry consortium that was founded to advance blockchain technology for the purpose of driving industry learnings, guidelines, frameworks and capabilities around common industry pain points. Current members include Chevron, ConocoPhillips, Equinor, ExxonMobil, Hess, Marathon, Noble Energy, Pioneer Natural Resources, Repsol, and Shell. For more information, go to http://www.oocblockchain.com.

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OOC Oil & Gas Blockchain Consortium Successfully Tests Digitizing the AFE Balloting Process Leveraging Blockchain Technology - Business Wire

Tata’s IT Arm Says Its New Toolkit Will Enable Faster Blockchain App Development – Coindesk

Tata Consultancy Services (TCS) has launched a new blockchain developers' kit that it claims will make developing apps up to 40 percent faster.

TCS, the information technology subsidiary of Tata Group and India's largest company by market cap, said Monday that its Quartz DevKit is now generally available as an "intuitive, low code development kit for enterprises to quickly build and deploy blockchain applications on any popular blockchain platform."

Designed to remove some of the complexity of building with blockchain, the toolbox allows devs to create apps on major blockchain platforms such as ethereum, Hyperledger Fabric or R3 Corda, according to a press release.

"We developed the Quartz DevKit to help [clients'] teams rapidly put together high-quality pilots using smart contracts on any platform with reduced coding effort. We have received very positive feedback from our pilot customers, and are pleased to make the DevKit available for use at scale, said R Vivekanand, global head of Quartz at TCS.

As with more consumer-driven software products, developers are offered a choice of templates for their projects that can then be tailored with code extensions specific to their chosen blockchain. DevKit also offers a web-based development environment, and plug-and-play components across areas such as security authentication and user management, cutting down on the time it takes to build smart contracts, TCS says.

The product further has a built-in tool to scrutinize developers' smart contracts and help keep coding at "best in class" standards.

The DevKit comes as part of TCS' Quartz suite of products aimed to facilitate the development of blockchain products and integrations for enterprises, including a set of business solutions for a range of industries, a means of integrating existing solutions with blockchain platforms and a central hub for admin and monitoring.

For some time, TCS has been working on a wide range of blockchain projects in-house, and has joined a number of collaborative efforts around the tech.

As far back as 2016, the firm claimed to be involved in more than 100 blockchain prototypes as it eyed use cases across finance. More recently, TCS said in April that it had completed a trial using blockchain to facilitate cross-border securities settlement between two central securities depositories.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Tata's IT Arm Says Its New Toolkit Will Enable Faster Blockchain App Development - Coindesk