Monthly Archives: September 2020

Diffbot is obsessed with knowledge. The Palo Alto-based knowledge-as-a-service company is on a quest to build the first comprehensive map of all human knowledge, according to its founder and CEO Mike Tung and its doing that using a medley of machine learning methods to automatically crawl, index, and correlate the content of the internet. Now, Diffbot is announcing the launch of the latest weapon in its gnostic arsenal: a new natural language processing (NLP) API that is fully integrated into Diffbots multilingual knowledge graph.

To showcase the newly available deep learning system, Diffbot turned to two sets of famous texts: the Bible and A Song of Ice and Fire, the series that served as the basis for the hit show Game of Thrones. While those works may seem worlds apart, they share a common trait of great interest to Diffbot: complex genealogies. The winding and weaving family webs of both the Bible and the fantasy world of Westeros pose a challenge to even astute readers and so, they posed the perfect challenge for Diffbots NLP API.

Diffbots API, which uses its vast knowledge of the web to analyze free text, chewed on the two massive documents, spitting out full (and accurate) genealogies for all traceable figures mentioned in both. For A Song of Ice and Fire, Diffbot even produced an infographic mapping out the complex familial ties in the series and highlighting some of the impressive statistics: 3,663 characters detected, 855 parent-child relationships, 700 sibling relationships, 322 spousal relationships and 15 minutes of NLP to do all of it.

An infographic displaying stylized results from Diffbots NLP analysis of A Song of Ice and Fire. Image courtesy of Diffbot.

With this new breakthrough, Diffbot continues to push the boundaries in achieving its vision in building an ImageNet for human language and realizing a Semantic Web that will transform the business world, Tung said. We have been testing its capabilities in beta and the results have been extremely promising in illustrating the true impact it will have on the professional world, especially in the fields of science, history, education, and religion.

Diffbot provides its knowledge graph for free to researchers, but the company says it has around 400 paying customers, as well including some big names like Adobe, Cisco, eBay, Salesforce, and Samsung.

I believe we are creating a system that will serve as a dedicated enterprise search engine, Tung continued. The real Semantic Web unbound by the ad-support model where businesses in every industry can find accurate and extensive information and build customized workflows on top of their queries.

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New AI Tool Maps the Families of the Bible, A Song of Ice and Fire - Datanami

When business resumes some normalcy, Pittsburgh will get back to promoting what it has to offer in a bold way: an international summit that spotlights its role in robotics, artificial intelligence and advanced manufacturing.

The city recently won a bid to host the inaugural Global Manufacturing and Industrialization Summit (GMIS) America in July the first event booked for 2021 at the David L. Lawrence Convention Center. As the first American city to join the partnership originating in the United Arab Emirates, Pittsburgh will host a GMIS satellite event each year.

Were really excited about this. Its a tremendous thing to put the international spotlight on Pittsburgh like this, and we hope to attract investment into our city and our region, says Simin Curtis, president and CEO of the American Middle East Institute (AMEI). This will be the first time that anything like this has been held here in Pittsburgh. For us, its a success story.

Its the result of several years of communication that began with a visit by a Pittsburgh delegation to Dubai in 2018, organized by AMEI, and follow-up visits by GMIS organizers to Pittsburgh. They toured the convention center last year and again last month, when Pittsburgh was able to demonstrate that the building is ready to safely host gatherings, says Jerad Bachar, president and CEO of VisitPittsburgh.

One reason is the centers implementation of the VenueShield Environmental Hygiene Program, created by ASM Global, which ensures the building operates at the highest standard of health and safety, Bachar says.

Though current limitations on indoor and outdoor gatherings prevent many groups from meeting in Pittsburgh now, we know that the time will come soon when business and sports events will be held in the city, he says. We feel very confident that our venues, like the convention center, will be prepared to safely hold these events.

The GMIS model is meant to enable cities around the world to mobilize manufacturers and encourage collaboration and partnerships.

[Pittsburgh] serves as a great success story for its achievement in not just reviving its industrial heritage but also developing it into a high-tech manufacturing cluster, says Badr Al-Olama, head of the GMIS organizing committee. GMIS America will showcase Pittsburgh as a national and global hub for advanced manufacturing, serving as a perfect example for other cities around the world that are embarking on an advanced industrialization drive.

Bachar says the convention centers LEED Platinum Certified sustainability status also was a factor in securing the bid GMIS will encourage cities to promote inclusive and sustainable development, much as Pittsburgh has, and to advance the 2030 Agenda for Sustainable Development.

Hosting the summit will enable Pittsburgh to emphasize its robotics, AI and advanced manufacturing, making it the perfect choice, says Ira Moskowitz, CEO of the Advanced Robotics for Manufacturing (ARM) Institute.

From the first industrial revolution to todays emphasis on robotics and artificial intelligence, Pittsburgh has always been a leader in advanced manufacturing. This is a key reason why the U.S. government chose our city to be the home of the national ARM Institute, Moskowitz says. We welcome this global audience to Pittsburgh and hope that, together, we can continue to invest in the technologies andempower the peoplethat drive manufacturing capabilities forward.

Some people may have a false sense of what manufacturing is today, with its emphasis on new technologies, says Mark Thomas, president of the Pittsburgh Regional Alliance.

Weve undersold our future as an advanced manufacturing center, says Thomas. A summit is good when you can play host to a conversation that is relevant to the industries youre building because people dont just stay within the conference center and the hotels. It puts our message front and center with influencers who can determine significant investment opportunities that would benefit our region.

Theres a lot of interest to get us back to a place where we can continue growing and promoting our region.

GMIS

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GMIS, the international summit on robotics, AI and advanced manufacturing, is coming to Pittsburgh - NEXTpittsburgh

Despite their own high-tech nature, many of the 3G and 4G networks we use are currently managed through manually filled spreadsheets, complete with the errors and inaccuracies that come with human-led processes.

For its next generation of 5G networks, telecommunications giant Nokia is hoping to change the state of things. The Finnish company has announced that it has now digitized all of its 5G network deployments globally, and that the new processes it has implemented will be used in every Nokia network rollout globally.

From drone-led site surveys to AI-powered tools that can identify defects in the network in real time: to manage and maintain the swarm of small cells, base stations and antenna arrays that will come with future 5G networks, Nokia is betting big on digital tools.

SEE: 5G smartphones: A cheat sheet (free PDF) (TechRepublic)

Nokia's president of global services Sanjay Goel said: "Today, many operators suffer from a fragmented way in how their next-gen 5G networks are designed, built and managed. The adoption of automation, AI and the digitalization of assets are vital steps in a CSP's digital transformation journey to capture the full potential of 5G."

5G holds the promise of new use cases that 3G and 4G can't support: with faster networks, industrial automation will increase, virtual reality and augmented reality might finally get a killer app, gaming will reach new heights, and edge computing will boom.

Data flows are expected to jump as 5G is deployed, from 35 exabytes recorded in 2019, to 73 exabytes in 2022. As they underpin this busy ecosystem-to-be, therefore, networks will need to be more reliable than ever. And increasingly, providers have come to realize that spreadsheets won't cut it.

Many experts have already anticipated that current inefficiencies in network management are likely to become problematic when it comes to overseeing the complexity of 5G infrastructure. In a blog post earlier this year, Goel put it bluntly: "It's clear that traditional methods have their limitations."

This observation prompted Nokia to entirely digitize the deployment, management and maintenance of the company's 5G networks. It starts from day one: site surveys are carried out by drones, to capture high-definition and detailed 3D mapping of future locations, and generate data to help engineers define the necessary materials for the build.

The goal is to build the site "first time right", instead of physically sending engineers in to inspect the site several times before starting the deployment.

Remote inspection is also prioritized throughout the site's life cycle, both through drone technology and augmented-reality tools. On-site checks can this way be carried out by one person, who is able to connect, if needed, to a remote expert fitted with an AR-enabled video collaboration tool a much more efficient process that cuts costs and saves time.

All of the data generated is added to a digital database for the site. Visual and statistical online records feed into real-time dashboards that experts can access remotely to see project information and key performance indicators.

SEE: Could 'Open' systems negate Huawei's influence on 5G?

Most importantly, all of the workflows generated by different parties working on the build are integrated in one single platform called Nokia Delivery Platform (NDP). A cloud-based management application, NDP covers the whole life cycle of the network's deployment, from planning and designing to testing and validation, through construction, commissioning and integration.

Bringing siloed processes together into one central platform could reap huge benefits for teams working on network deployments.

The Finnish company's commitment to digitization has already shown positive results. "We have over 100 customers worldwide and are delivering 100% of our projects digitally, replacing traditional ways of network rollouts through digitization and automation," said Carlijn Adema, Nokia's head of marketing at Nokia Global Services. "To give some figures: Nokia's digital deployment services mean 4G and 5G networks are up to 30% faster to market, and installation quality is increased by 30%."

Site visits, according to Nokia, have also decreased by a third. The digital revolution promised by 5G networks is only around the corner; but it seems that network providers have a lot to gain from transforming their own procedures first.

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5G: How Nokia is using drones, AR and AI to speed up deployments - ZDNet

By Gairika Mitra, Tech Enthusiast

Reports state that a large number of companies are really keen to pull specialist talents in artificial intelligence and machine learning. This has resulted in a 51% spike in job postings that have been seen during the last year.

The times now are quite uncertain and despite the dreaded uncertainty that has been felt throughout 2020, the prevalence and existence of AI has been undeniable. Most researchers and specialists in AI have represented the fastest-growing role all across the world. As per a recent report from data job site Indeed, AI jobs have seen a recent explosion with a steady hike over the last five years. The report further states that the job postings in AI have been going up consistently since the last two years, with a 46% hike between 2018-19, and a 51% hike between 2019-20.

Experts in this field and from renowned corporations have stated that Artificial Intelligence or AI is one of the hottest areas in the career market right now. Most employers have been emphasising on skillsets within Python, TensorFlow, and Natural Language Processing. (NLP)

Most Demanding Skills in AI Now

Most technical skills in AI, mostly include how to manage and configure AI application programming interfaces (APIs) and deep neural networks (DNNs), advanced analytics, and also data science skillsets.

Additionally, programming expertise in Python, C#, and R, along with experience in AI-specific vendors and applications, like that of user interface (UI) and user experience (UX) have great value in the market. Apart from this, business analysis skills that would be considering process reengineering, business case development, and the experience of DevOps and agile delivery would be placed as high bets and those on high demand.

Specifically, those roles in AI that require managerial skills, and are also inclusive of data literacy, governance, ethics, AI architect skills, and experience managing the IP rights between customers and vendors are in pretty high demand. Experts hold the view that AI is a highly scientific field that requires a great deal of education, training, and focus.

These days most companies have been focussing on the need for hiring upskilled workers, and also look forward to those that have the ability to cross-skill. Lets consider a specialist in an area like that of data science, if he can thoroughly upskill himself, he can deal with the business side of a company. Recruiters and companies are looking forward to onboarding a team of multilingual people that can integrate multiple tech and non-tech skills that would be helping to assist non-technical employees with tech solutions, and tech employees with business solutions.

The idea is to keep upskilling and be updated with the various happenings all around the world with regard to technology so that could be implemented when the time is right, and a company needs it.

If you have an interesting article / experience / case study to share, please get in touch with us at [emailprotected]

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Here Are The Skills One Needs For A Career In AI - Express Computer

New NEON-1000-MDX Smart Camera series with Smart Pallet solution

San Jose, CALIF. (PRWEB) September 17, 2020

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For media inquiries, kindly contact media@adlinktech.com

ADLINK Technology Inc., a global leader in edge computing, has launched the all new NEON-1000-MDX Smart Camera series together with its Smart Pallet solution, combining the Intel Movidius Myriad X VPU, which supports inference models optimized by OpenVINOTM , and ADLINKs Edge vision software to add AI-based machine vision into existing environments easily and quickly. The all-in-one solution allows machine vision experts and developers to build, test and deploy machine learning (ML) models faster, while giving IoT solution teams and system integrators the tools to connect, stream and automate machine vision work.

Were all feeling the pressure of ramped up production during these unprecedented times. Machine vision AI is one of the quickest, easiest and most cost-effective ways to add automation into existing processes without disrupting current workflows, said Kevin Hsu, Senior Product Manager of ADLINKs IoT Solutions and Technology Business Unit. Our Smart Pallet solution, for instance, has proven to deliver a 90% reduction in traditional barcode scanning time while also enabling customized, built-to-order pallets with no changes to the production line other than the smart cameras installation. Using the highly integrated NEON-1000 effectively decreases the footprint, reliability and compatibility issue and also saves maintenance efforts for customers.

The Intel Movidius Myriad X VPU (vision processing unit) optimizes ML models and can provide some of the highest AI computing power. Eliminating complex integration of sensor modules, cables and VPU modules, the NEON-1000-MDX Smart Camera simplifies the machine vision deployment process. With the pre-installed EVA (Edge Vision Analytics) SDK, users can deploy neural networks optimized by OpenVINO without extra coding or integration efforts using a wide range of ready to use plug-ins based on environment and system requirements.

The new all-in-one NEON-1000-MDX AI smart camera supports product classification and defect detection to maximize production efficiency in smart manufacturing, as seen with the award-winning ADLINK Edge Smart Pallet solution. Smart Pallet adds intelligence and automation to manual warehouse fulfillment operations such as receiving, bin picking, packing, shipping and worker safety. Smart Pallet provides an end-to-end integrated system to connect new and existing equipment, capture multiple image data streams and apply the high performance processing power of the NEON-1000-MDX VPUs to enable machine learning and inferencing at the edge.

With the ADLINK Edge software platform developers can connect and integrate with any existing cloud, machine learning platform, neural network, industrial camera, machine vision system, piece of machinery and more regardless of vendor. ADLINKs machine vision AI software can classify what it sees, become smarter over time and also create automation workflows.

For instance, if a box contains the incorrect order on a conveyor system, it can send an alert to a conveyors sorter to divert the box to a re-check area, said Steve Cammish, VP of ADLINKs IoT Solutions and Technology. Were bringing software developers intuitive programming, automation and device management running on a powerful smart camera designed for AI workloads. The automation here is key- saving time, decreasing costs and reducing complexity.

ADLINKs machine vision AI technology has won 5 awards year-to-date. To request a demo, visit ADLINK here.

About ADLINK Technology ADLINK Technology Inc. is a global leader in edge computing. Our mission is to affect positive change in society and industry by connecting people, places and things with AI. The company offerings include robust boards, real-time data acquisition solutions and application enablement for AIoT. ADLINK serves vertical markets including manufacturing, communications, healthcare, aerospace, defense, energy, infotainment and transportation. ADLINK is a Premier Member of the Intel Internet of Things Solutions Alliance, a partner of NVIDIA, and a contributor to standards initiatives such as Eclipse, OCP, OMG and ROS2 TSC. ADLINK is ISO-9001, ISO-14001, ISO-13485 and TL9000 certified and is publicly traded on TAIEX (Stock Code: 6166). Learn more at http://www.adlinktech.com.

***

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ADLINK Puts the Ease in Machine Vision AI Integration and Deployment with All New Turn-Key Edge Solutions for Warehouse Fulfillment and Manufacturing...

The COVID-19 crisis and the 2020 U.S. presidential election have created uncertainty in the nationcausingmarket volatility for investors. With the amount of unstructured content in the Internet today, researchers and analysts are turning to artificial intelligence and machine learning to automate hours of manual researching, identifying, and extracting data.

Accern's Presidential Election dashboard provides users with an out-of-the-box solution to gain insights around the 2020 presidential candidates and candidate campaigns, policies, polling, appearances, and more. The dashboard retrieves and analyzes data from Accern's integrated unstructured data store of over 1 billion global public news sites and blogs.To view the dashboard, email [emailprotected].

"We have reached a pivotal point in automating workflows in the financial industry, with a no-code, AI-platform. Investors can quicklybuild and deploy event-driven use cases in minutes without writing a single line of code," said Kumesh Aroomoogan, co-founder and CEO of Accern."Weare excited about the results of our new Presidential Election dashboard in providing financial service institutions the ability to research, track, and analyze sentiment to make better-informed investment decisions."

To enable news tracking and sentiment analysis on target candidates across the U.S., Accern implemented the following features and tactics:

To learn more about the Presidential Election dashboard or to build your own AI use case, please email [emailprotected]

About Accern Corporation:Accern enhances AI workflows for financial service enterprises with a no-code data science platform. Researchers, business analysts, data science teams, and portfolio managers use Accern to build and deploy Natural Language Processing(NLP)models with artificial intelligence(AI).The results are that companies cut costs, generate better risk and investment insights, and experience a 24x productivity gain with our industry-leading NLP solutions. Allianz, IBM, and Jefferies utilize Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. For more information on how we can accelerate AI adoption for your organization, visitaccern.com

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Media Contact: Grace Kim, [emailprotected]

SOURCE Accern

http://www.accern.com

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Accern Announces New Artificial Intelligence Dashboard to Gauge the Impact of the 2020 US Presidential Election - PRNewswire

The USLibrary of Congress has released an AI tool that lets you search through 16 million historical newspaper pages for images that help explain the stories of the past.

TheNewspaper Navigatorshows how seminal events and characters, such as wars and presidents, have been depicted in the press. Jim Casey, an assistant professor of African American Studies at Penn State University whos tested the tool, said it would add a visual component to his historical research:

As I am writing a history of editors in the early United States, Newspaper Navigator will be an invaluable tool for charting the visual culture of the press. It provides us with a wealth of clues about the work of editors (behind the scenes) to forge the look and feel of the first drafts of history.

[Read: Are EVs too expensive? Here are 5 common myths, debunked]

The tool is the brainchild of Ben Lee, a Washington University researcher and the Library of Congress Innovator in Residence.

Lee first identified the visual content using an object detection model trained on annotations of World War 1-era pages from the Librays digitized collection of newspapers published between 1900 and 1963. This enabled the AI to detect photographs, illustrations, maps, cartoons, comics, headlines, and advertisements.It also uses Optical Character Recognition to extract a headline and caption from the corresponding article.

To use the system, simply enter a keyword in the Newspaper Navigatorand the AI will surface matches from a dataset of 1.56 million newspaper photos.You can alsospecify a date range and a state in which the newspaper was published.

You can then click on any image to download it, read the article it accompanied, view the full issue, or learn more about the newspaper.

The tool should be particularly useful for archivists, but it can also help all of us learn more about the stories of our past.

So youre interested in AI? Then join our online event, TNW2020, where youll hear how artificial intelligence is transforming industries and businesses.

Published September 16, 2020 18:08 UTC

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US Library of Congress launches AI tool that lets you search 16 million old newspaper pages for historical images - The Next Web

LONDON--(BUSINESS WIRE)--Bigger technology budgets and greater use of artificial intelligence and automation are the main predictions for change post-coronavirus, according to a survey of over 1,000 project practitioners* by Association for Project Management (APM).

The poll, undertaken for APM by research company Censuswide, found that 36 per cent** of respondents anticipate technology budgets will increase within their business or team in the wake of the COVID-19 pandemic, while 30 per cent expect their business or team will make greater use of artificial intelligence and automation.

The survey revealed a split in opinions when it comes to how new solutions will be implemented, however. Some expect to grow relationships with existing suppliers while others anticipate new providers will be brought in.

When it comes to choosing a technology supplier, integration emerged as the most important factor overall for project management professionals, although this varied by industry sector.

Most important criteria for choosing a technology supplier (survey of 1,000 project professionals*)

Will Webster, head of technology at APM, said: Since the onset of lockdown, we have seen increased emphasis on the value of technology in facilitating new ways of working. As these new working methods become the norm, technology will be essential to support increased flexibility and productivity. Nowhere will this be more important than in the project profession, where successful outcomes are vital for delivering economic and social benefits for businesses and communities.

The findings of this survey reveal an opportunity for providers of technology solutions to strengthen existing partnerships and forge new ones through differentiation. While cost is clearly a factor, integration, reputation and scalability could be the difference to an organisation in selecting a particular hardware or software solution.

-ENDS-

Notes to editors

* 1,003 project professionals based in the UK responded to the questions What changes do you anticipate in the way your team or business uses technology post-coronavirus? and What is your most important criteria for choosing a technology supplier?

** All figures rounded to the nearest 1 per cent

About APM

About Association for Project Management (APM)

Association for Project Management (APM) is the chartered body for the project profession and is committed to creating and upholding leading standards for the profession through chartership, qualifications, knowledge and insight.

Promoting the power of the profession for good, APM has over 30,000 individual members and more than 500 organisations participating in the Corporate Partnership Programme. As an educational charity, APM advocates for and represents the entire project profession - all sectors, all locations and at every stage of the career path. Please see https://www.apm.org.uk/ for further details.

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Project Managers Anticipate Increased Tech Budgets and Enhanced Focus on AI in the Wake of Coronavirus, New Survey Reveals - Business Wire

MONTREAL andTORONTO and NEW YORK, Sept. 17, 2020 /PRNewswire/ --Overbond Ltd., a fixed income analytics solution provider, today announced the launch of COBI-Pricing LIVE, the company's powerful new real-time AI bond pricing product. COBI-Pricing LIVE has the capacity to process real-time historical pricing data on coverage of over 30,000 securities with a refresh rate under three seconds, making it the fastest in the industry and the first-to-market offering such technology.

COBI-Pricing LIVE is the newest part of Overbond's innovative suite of AI algorithms, and fills a gap in the current market by aggregating multiple data sources on the client side across trading venues, data aggregators themselves and fundamental and settlement layer data. Bond markets suffer from illiquidity and non-uniform data sources used to price bonds and build credit curves, and fixed income traders require accurate bond pricing that can measure the liquidity of individual securities and enable automatic execution.

COBI-Pricing LIVE provides this requirement by leveraging the power of AI models that optimize prices for bonds with various liquidity profiles and performing deep historical benchmarking and curve fitting.With the entire market expected to see approximately 40% of trading performed by AI algorithms by 2024, COBI-Pricing LIVE is well-positioned given its intuitive, customizable nature and the fact that it is designed to help traders make more informed buying and selling decisions.

"Both sell side dealers and buy side asset managers are increasingly relying on AI applications to price fixed income securities in live trading and automate part of their daily workflows," says Vuk Magdelinic, CEO of Overbond. "However, most of the existing fixed income capital market data sources do not have enough coverage to provide traders with a view of true liquidity and price precision that can be executed automatically."

The bond market, notes Magdelinic, heavily relies on segregated data disseminated between counterparties, which creates fragmented data sets that do not cover the bulk of over-the-counter traded flows. COBI-Pricing LIVE collates and organizes large volumes of disparate data, including non-traditional data sets such as fundamental and settlement layer data. Using novel AI liquidity scoring, COBI-Pricing LIVE tiers all trades and determines if these qualify for full-automation, trader supervision, or should not be traded at the current time.

How COBI-Pricing LIVE works

The Overbond platform first sources raw live trading and fundamental data from a range of suppliers. These include Refinitiv, S&P Global Market Intelligence, ICE, EDI, Euroclear and FINRA TRACE, among others, as well as major credit agencies. It also collates company-level fundamental data, dealer quotations, internal client executed trade records and investor preferences through feedback.

COBI-Pricing LIVE then utilizes an advanced three phase AI algorithm:

Traders can train and customize models on their internal data to find a competitive edge in the market. The COBI-Pricing LIVE output can also be integrated into a data feed via an API, a desktop side-by-side integration with order-management-system (OMS), or viewed on the Overbond Platform as a downloadable table.

COBI-Pricing LIVE's Key Benefits for Traders

Built by traders, for traders, COBI-Pricing LIVE is designed to eliminate pain points, streamline and automate the trading process. The product does so through the following:

"Counterparties are increasingly adopting quantitative investing and liquidity risk monitoring techniques to automate their trading workflows. This includes the consumption of increasing amounts of alternative data and using new methods of fixed income pricing analysis such as AI analytics like Overbond's COBI-Pricing LIVE algorithm," continued Mr. Magdelinic.

About Overbond

Founded in 2015, Overbond is transforming how global investment banks, institutional investors, corporations and governments connect and access fixed income markets through advanced AI analytics. Overbond's fully-digital platform and suite of AI algorithms (COBI) eliminates inefficiencies, provides systematic price discovery and trade execution as well as predictive analytics to all counterparties in the fixed income market. The company's growing client base includes buy-side institutions with over $2 trillion of assets under management globally across both passive and active strategies, regulatory reporting regimes and global corporate and government issuers with more than $20 billion in outstanding bonds.

For more information, contact http://www.overbond.com.

SOURCE Overbond

http://www.overbond.com

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Overbond launches real-time AI bond pricing trading product - PRNewswire