Nanomedicine Market To Reach USD 343.8 Billion By 2026 | CAGR of 12.6% (1) – PharmiWeb.com

: New York, United States, 31-July-2020, (Via WiredRelease), (Reports and Data) The global nanomedicine market is expected to reach USD 343.8 billion by 2026, according to a new report by Reports and Data. Increased global incidence of cancer coupled with growing prevalence of cardiovascular diseases is likely to be the key factors governing market growth. Based on the WHO statistics, in 2018 around 18.07million new cases were registered for cancer in 2018. Additionally, cancer accounted for around 9.5 million deaths in 2018. The incidence of cancer was significantly high and lied around 48.4 percent in Asia Pacific.

Nanomedicine is being increasingly adopted for the treatment of various diseases including cancer and cardiovascular disease. Apart from improved efficacy and safety, factors such as bio-availability and ability to deliver diagnostic and therapeutic agents to targeted sites are expected to stimulate market growth.

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The COVID-19 impact: Covid-19s spread has affected manufacturing and construction activities worldwide. Logistic limitations and reconsiderations of the raw material requirements are becoming a problem for producers. The producers have relied on derived demand as an intermediate commodity to rationalize production. The pandemics economic impact on companies and financial markets is also not favorable. Stock market volatility and decreasing global growth are anticipated, which will affect the market. The market has experienced a downturn over the weeks, which may continue over the next few months. The Asia Pacific is the most affected region by this pandemic, with China at the center of the outbreak. Most initiatives in multiple countries have changed to a temporary halt. Development, as well as supply, is put on hold, creating losses for suppliers, dealers and customers alike.

Key participants include

Arrowhead Pharmaceuticals Inc. AMAG Pharmaceuticals, Bio-Gate AG, Celgene Corporation and Johnson & Johnson.

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For the purpose of this report, Reports and Data have segmented into the global Nanomedicine market on the basis of type, propellants, application, and region:

For the purpose of this report, Reports and Data have segmented global Nanomedicine Market on the basis of products, drug delivery system, application and region:

Product Outlook (Revenue, USD Billion,2018-2026)TherapeuticsRegenerative MedicineIn-vitro diagnosticsIn-vivo diagnosticVaccines

Drug Delivery System Outlook (Revenue, USD Billion, 2018-2026)NanobotsNanoghostsNanoclustersNanobubblesExosomesInjectable Nanoparticle GeneratorDendrimersLiposomesCarbon nanotubeGrapheneOthersApplicationOutlook (Revenue, USD Million, 2015-2026)OncologyInfectious diseasesCardiologyOrthopedicsOthers

Regional Outlook (Revenue, USD Million; 2017-2027)

North America

U.S

Europe

U.K

France

Asia Pacific

China

India

Japan

MEA

Latin America

Brazil

To identify the key trends in the industry, click on the link below: https://www.reportsanddata.com/report-detail/nanomedicine-market

Key aspects of the Nanomedicine Market Report:

The report comprises of Nanomedicine market overview, market share, demand and supply ratio, supply chain analysis, and import/export details.

The report explores different strategies and procedures undertaken by key market players that assist in making profitable decisions.

The report covers all the crucial information about the products and services of major competitors.

About Us: Our in-house experts assist our clients with advice based on their proficiency in the market that helps them in creating a compendious database for the clients. Our team offers expert insights to clients to guide them through their business ventures. We put in rigorous efforts to keep our clientele satisfied and focus on fulfilling their demands to make sure that the end-product is what they desire. We excel in diverse fields of the market and with our services extending to competitive analysis, research and development analysis, and demand estimation among others, we can help you invest your funds in the most beneficial areas for research and development.

Contact Us: John WatsonHead of Business DevelopmentReports and Data | Web: http://www.reportsanddata.comDirect Line: +1-212-710-1370 E-mail: sales@reportsanddata.com

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Nanomedicine Market To Reach USD 343.8 Billion By 2026 | CAGR of 12.6% (1) - PharmiWeb.com

Not so Artificial Intelligence When is AI really AI? – EFTM

Is it just the LifeStyler or are others noticing just how many brands are claiming to have artificial intelligence built into their products?

Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.

AI is not the ability to turn a kettle off once the water has boiled but would be AI if the kettle determined by itself that at 11 am on days below 25 degrees you had a cup of coffee and worked out that you were indeed at home it would boil the kettle ready for you at 11 am only on cooler days.

Thus AI is the ability to make decisions with lots of variable pieces of information. What the LifeStyler is annoyed about is the ability of marketers to throw the term around adding it to the description of their product inferring it is smarter than it is. AI is one of those things like the cloud that most people dont understand but are too embarrassed to admit they dont. Further, they fall into the trap of it must be better if the word is used.

To take this a step further technically, Google and Alexa are examples of machine learning, not AI.

My challenge to the readers is to call out products that are truly AI versus products that are just pretending to be AI. Cheers!

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Not so Artificial Intelligence When is AI really AI? - EFTM

IMD to explore artificial intelligence to improve forecasting, predict extreme weather events – Firstpost

Press Trust of IndiaAug 03, 2020 11:55:43 IST

The India Meteorological Department (IMD) is planning to use artificial intelligence in weather forecasting, especially for issuing nowcasts, which can help improve 3-6 hours prediction of extreme weather events, its Director General Mrutunjay Mohapatra said on Sunday.

He said the use of artificial intelligence and machine learning is not as prevalent as it is in other fields and it is relatively new in the area of weather forecasting.

The IMD has invited research groups who can study how artificial intelligence (AI) be used for improving weather forecasting and the Ministry of Earth Sciences is evaluating their proposals, Mohapatra said.

He said the IMD is also planning to do collaborative studies on this with other institutions.

Also read:IMD releases weather apps Mausam, Meghdoot for public, farmers to track forecasts, warnings, imagery in real-time

IMD could soon be using AI alongside its current weather forecasting technology. Image Credit StormGeo

The IMD uses different tools like radars, satellite imagery, to issue nowcasts, which gives information on extreme weather events occurring in the next 3-6 hours.

The IMD issues forecasts for extreme weather events like thunderstorms, dust storms. Unlike cyclones, predictions of thunderstorms, which also bring lightning, squall and heavy rains, are more difficult as the extreme weather events develop and dissipate in a very short period of time.

Last month, over 160 people died due to lightning alone in Uttar Pradesh and Bihar.

The IMD wants to better the nowcast predictions through AI and machine learning.

"Artificial intelligence helps in understanding past weather models and this can make decision-making faster," Mohapatra said.

The National Oceanic and Atmospheric Administration (NOAA) of the US announced new strategies this year to expand the agency's application of four emerging science and technology focus areas NOAA Unmanned Systems, artificial intelligence, Omics, and the cloud -- to guide transformative advancements in the quality and timeliness of NOAA science, products and services.

Omics is a suite of advanced methods used to analyse material such as DNA, RNA, or proteins.

With regards to AI, it said the overarching goal of the NOAA Artificial Intelligence (AI) Strategy is to utilise AI to advance NOAA's requirements-driven mission priorities.

The NOAA said through this, it seeks to reduce the cost of data processing, and provide higher quality and more timely scientific products and services for societal benefits.

Find latest and upcoming tech gadgets online on Tech2 Gadgets. Get technology news, gadgets reviews & ratings. Popular gadgets including laptop, tablet and mobile specifications, features, prices, comparison.

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IMD to explore artificial intelligence to improve forecasting, predict extreme weather events - Firstpost

Examples of Failure in Artificial Intelligence – ReadWrite

Amazon has a project they call Rekognition. Its an AI-based facial recognition software thats marketed to police agencies for use in investigations. Its essentially supposed to cross analyze images and direct law enforcement officers to possible suspects. The problem is that its not very accurate.

In a study by the Massachusetts chapter of the ACLU, dozens of Boston-area athletes pictures were run through the system. At least 27 of these athletes or roughly one-in-six were falsely matched with mugshots. This included three-time Super Bowl champion Duron Harmon of the New England Patriots.

Can you say, not a good look?

Users Find Flaws in Apples Face ID

Apple is always coming up with cutting edge technology. Theyve set the standards in the smartphone and mobile device industry for years. For the most part, they get things right. But sometimes they can be a bit too brash in their marketing. In other words, they like to flex their muscles. As you might expect, this invites haters, trolls, and skeptics to challenge their claims.

One recent example occurred with the release of the iPhone X. Leading up to the launch, Apple had invested a lot of time and marketing dollars into their front-facing facial recognition system that replaced the fingerprint reader as the primary method of accessing the phone. The claim was that the AI component was so smart readers could wear glasses, makeup, etc. without compromising functionality. And thats essentially true. The problem is that Apple also clearly stated the Face ID technology cant be spoofed by masks or other techniques.

One Vietnam-based security firm took this as a challenge. And with just $200, they made a mask out of stone powder, glued on some printed 2D eyes, and unlocked a phone. This is just a reminder that bold claims can sometimes come back to bite!

Robot Dog Meets Fatal Ending

Who doesnt love the idea of a robot puppy? You get a cute little machine without the barking, walking, pooping, eating, or expensive vet bills. But if youre looking for a life partner, you might not want this robodog.

In 2019, a Boston Robotics robodog named Spot met a dramatic and untimely onstage death while he was being demoed by the company CEO at a conference in Las Vegas. Tasked with walking, he slowly started to stumble and eventually collapsed to the floor as the audience uncomfortably gasped and chuckled.

Watson Is Not a Doctor

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Examples of Failure in Artificial Intelligence - ReadWrite

MLOps: What You Need To Know – Forbes

Digital data multilayers.

MLOps is a relatively new concept in the AI (Artificial Intelligence) world and stands for machine learning operations.Its about how to best manage data scientists and operations people to allow for the effective development, deployment and monitoring of models.

MLOps is the natural progression of DevOps in the context of AI, said Samir Tout, who is a Professor of Cybersecurity at the Eastern Michigan University's School of Information Security & Applied Computing (SISAC).While it leverages DevOps' focus on security, compliance, and management of IT resources, MLOps real emphasis is on the consistent and smooth development of models and their scalability.

The origins of MLOps goes back to 2015 from a paper entitled Hidden Technical Debt in Machine Learning Systems.And since then, the growth has been particularly strong.Consider that the market for MLOps solutions is expected to reach $4 billion by 2025.

Putting ML models in production, operating models, and scaling use cases has been challenging for companies due to technology sprawl and siloing, said Santiago Giraldo, who is the Senior Product Marketing Manager and Data Engineer at Cloudera.In fact, 87% of projects dont get past the experiment phase and therefore, never make it into production.

Then how can MLOps help?Well, the handling of data is a big part of it.

Some key best practices are having a reproducible pipeline for data preparation and training, having a centralized experiment tracking system with well-defined metrics, and implementing a model management solution that makes it easy to compare alternative models across various metrics and roll back to an old model if there is a problem in production, said Matei Zaharia, who is the chief technologist at Databricks.These tools make it easy for ML teams to understand the performance of new models and catch and repair errors in production.

Something else to consider is that AI models are subject to change.This has certainly been apparent with the COVID-19 pandemic.The result is that many AI models have essentially gone haywire because of the lack of relevant datasets.

People often think a given model can be deployed and continue operating forever, but this is not accurate, said Randy LeBlanc, who is the VP of Customer Success at RapidMiner.Like a machine, models must be continuously monitored and maintained over time to see how theyre performing and shifting with new dataensuring that theyre delivering real, ongoing business impact.MLOps also allows for faster intervention when models degrade, meaning greater data security and accuracy, and allows businesses to develop and deploy models at a faster rate. For example, if you discovered an algorithm that will save you a million dollars per month, every month this model isnt in production or deployment costs you $1 million.

MLOps also requires rigorous tracking that is based on tangible metrics.If not, a project can easily go off the rails.When monitoring models, you want to have standard performance KPIs as well as those that are specific to the business problem, said Sarah Gates, who is an Analytics Strategist at SAS.This should be through a central location regardless of where the model is deployed or what language it was written in.That tracking should be automatedso you immediately know and are alertedwhen performance degrades.Performance monitoring should be multifaceted, so you are looking at your models from different perspectives.

While MLOps tools can be a huge help, there still needs to be discipline within the organization.Success is more than just about technology.

"Monitoring/testing of models requires a clear understanding of the data biases," said Michael Berthold, who is the CEO and co-founder of KNIME. "Scientific research on event, model change, and drift detection has most of the answers, but they are generally ignored in real life. You need to test on independent data, use challenger models and have frequent recalibration. Most data science toolboxes today totally ignore this aspect and have a very limited view on 'end-to-end' data science."

Tom (@ttaulli) is an advisor to startups and the author of Artificial Intelligence Basics: A Non-Technical Introduction and The Robotic Process Automation Handbook: A Guide to Implementing RPA Systems. He also has developed various online courses, such as for the COBOL programming language.

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MLOps: What You Need To Know - Forbes

IMD plans to use artificial intelligence in weather forecasting – The Financial Express

The India Meteorological Department (IMD) is planning to use artificial intelligence in weather forecasting, especially for issuing nowcasts, which can help improve 3-6 hours prediction of extreme weather events, its Director General Mrutunjay Mohapatra said on Sunday.

He said the use of artificial intelligence and machine learning is not as prevalent as it is in other fields and it is relatively new in the area of weather forecasting.The IMD has invited research groups who can study how artificial intelligence (AI) be used for improving weather forecasting and the Ministry of Earth Sciences is evaluating their proposals, Mohapatra said.

He said the IMD is also planning to do collaborative studies on this with other institutions. The IMD uses different tools like radars, satellite imagery, to issue nowcasts, which gives information on extreme weather events occurring in the next 3-6 hours.

The IMD issues forecasts for extreme weather events like thunderstorms, dust storms. Unlike cyclones, predictions of thunderstorms, which also bring lightning, squall and heavy rains, are more difficult as the extreme weather events develop and dissipate in a very short period of time.

Last month, over 160 people died due to lightning alone in Uttar Pradesh and Bihar. The IMD wants to better the nowcast predictions through AI and machine learning. Artificial intelligence helps in understanding past weather models and this can make decision-making faster, Mohapatra said.

The National Oceanic and Atmospheric Administration (NOAA) of the US announced new strategies this year to expand the agencys application of four emerging science and technology focus areas NOAA Unmanned Systems, artificial intelligence, Omics, and the cloud to guide transformative advancements in the quality and timeliness of NOAA science, products and services.

Omics is a suite of advanced methods used to analyse material such as DNA, RNA, or proteins. With regards to AI, it said the overarching goal of the NOAA Artificial Intelligence (AI) Strategy is to utilise AI to advance NOAAs requirements-driven mission priorities.

The NOAA said through this,?it seeks to reduce the cost of data processing, and provide higher quality and more timely scientific products and services for societal benefits.

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IMD plans to use artificial intelligence in weather forecasting - The Financial Express

Postdoctoral Research Associate in Artificial Intelligence job with DURHAM UNIVERSITY | 215559 – Times Higher Education (THE)

The Role

Applications are invited for a PDRA post in Artificial Intelligence.

1. Work closely with multi-national consumer goods corporation to identify short-list of applications of Artificial Intelligence (AI) in data mining, image processing, knowledge gathering etc. and to identify a short-list of projects that would benefit from AI methods.

2. For projects on the short-list, to deeper dive into the projects in order to define deliverables, what data is needed, milestones, etc. Deliverables could include a finished working model, successful proof of principle and a clear path forward, or a detailed assessment of why the proof of principle was not successful together with recommendations on how to address the problem in the future.

3. Over the course of the project duration, to undertake at least three R&D projects at Durham and to present a monthly updates to the relevant project teams at the corporation.

4. To hold a final workshop session at the corporation summarising and presenting the R&D work.

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Postdoctoral Research Associate in Artificial Intelligence job with DURHAM UNIVERSITY | 215559 - Times Higher Education (THE)

How do CEO’s Succeed with Artificial Intelligence at their Workplace? – Analytics Insight

Artificial Intelligence has arrived and it is good time that the C-suite especially the CEOs take a note of it. However, with the media hype surrounding digital transformation and AI the decision-makers of an enterprise often left in quandary as to how and when to implement AI and what to do with this business transformative technology.

With tangible results and takeaways, AI has shown real outcomes for early adopters resulting in a sense of trust and a feeling of assurance. To aid the C-Suite to derive benefits from this technology, Harvard Business Review has come up with a set of pointers which enterprisers both big and small need to know, for AI success in their workplace-

1. C-suite must take its time to evaluate the critical success from AI before deciding on a pilot.

2. It is good to believe in the hype surrounding AI implementation, disruptive technologies can potentially boost enterprise returns.

3. AI transformation might not succeed without the support of decision-making management.

4. Partnering for capability and capacity creation is a must for AI success.

5. Trust other technologies too, and avoid the temptation of putting tech teams solely in charge of AI implementation.

6. Accelerate the enterprise AI journey with a portfolio approach.

7. Machine Learning is powerful, but weigh your enterprise use cases before selecting the technology.

8. Build digital capabilities before an AI pilot project.

9. Take the change in overseeing the AI pilot in the first place.

10. Beware, people, change management and process-up-gradation are the biggest challenges.

The buzz around Artificial Intelligence (AI) has grown by leaps and bounds, all set to instil confidence among the C-suite all across the world. This is marked by an increase in investments and the widespread interest by venture capitalists, tech powerheads and change-makers. AI-infused digital transformation success stories are becoming all the louder and more prominent across enterprises crisscrossing domain functionalities.

The key adoption point of the IA influx arises from the adoption in AI machine learning and NLP infusion, to deliver more output and results that suits all the AI adopters. The AI adaptability across different industries will be different from BFSI, Telecom and Logistics all set to lead the way, while healthcare and the government sector is slowly and steadily preparing for the transitional shift.

In the future, developing new business models to build a growth path that is flexible and robust will be critical to digitization. The same seems to hold for AI, early AI adopters have been very proactive and robust in adoption g to the change, setting up examples for others to follow.

Summing up, the C-Suite must not make any mistake, the digital adoption is here, and the faster they realize its presence and embrace to these new technologies, the quicker they would adopt and stay in the competition race, else the time will come soon for perish. We are talking of a technology-dominated digital transformation era in some years from now.

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Kamalika Some is an NCFM level 1 certified professional with previous professional stints at Axis Bank and ICICI Bank. An MBA (Finance) and PGP Analytics by Education, Kamalika is passionate to write about Analytics driving technological change.

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How do CEO's Succeed with Artificial Intelligence at their Workplace? - Analytics Insight

The future of Artificial Intelligence and what it means to the Enterprise? – Analytics Insight

Technology headed by AI has been instrumental in augmenting human capacities and reinventing human lifestyle. Code-driven systems integrating information and connectivity have ushered a new era which was previously unimagined bringing untapped opportunities and unprecedented threats.

Technology experts across the world have predicted that networked artificial intelligence will amplify human effectiveness besides threating human autonomy, and capabilities. We are not far from the age of super intelligent AI where algorithms may match or even exceed human intelligence and capabilities on tasks which involve complex decision-making, sophisticated analytics, pattern recognition, reasoning and learning, language translation, visual acuity and speech recognition

Data Security

Modern enterprises generate data and most of that still battles against data abuse. Most AI tools are and will be dominated by companies and governments who are striving for profits or power. This leaves data silos and data lakes open rising fears of security against data mishandling.

Diminishing Human Cognition

Though many see AI to augment human capacities but some even predict the opposite. The increasing dependence on machine-driven networks may diminish human cognitive abilities to think for themselves, interact effectively with others and take decisions independent of automated systems.

Trade-off for the Inevitable

As AI algorithms have taken over decision making and predictions, humans may experience a loss of control over their ability to think and act. Decision-making on key aspects is automatically ceded to code powered black box tools. The drag and drop tools are not making decisions easy, as users know the context but do not understand the logic behind why the tools work. Thus, in this context, privacy and the power over choice; are scarified with no control over the processes.

AI and allied technologies have already achieved superhuman performance in a juncture of areas, and it is beyond doubt that their capabilities will improve over the years, probably very significantly in 10 years from now, by 2030. Aided by an access to vast data troves, bots powered by intelligent automation will surpass humans in their ability to take complex decisions. AI will drive a vast range of efficiency optimizations especially into highly rule-based chores which involve manpower.

Newer generations of citizen data scientists will become more and more dependent on networked AI structures and processes. Networked interdependence will, increase an enterprises vulnerability to cyberattacks. There will be a sharp gap between the digital haves and have-nots, especially those who are technologically dependent digital infrastructures. The next question will be to answer the commanding heights of the digital network infrastructures ownership and control.

Artificial Intelligence is empowering the ability for autonomous operation and the first thing which comes to mind is autonomous vehicles, but the applications are limitless. The combination of natural language processing, predictive analytics, and the world of intelligent sensors powered by IoT have had a pervasive impact in our daily lives.

Summing up, AI will be an integral component of an enterprise experience. Organisations will increasingly use and sometimes rely on AI systems to enhance their daily interactions with each other. In the next decade, AI will propel the powers of language translation and augmented creativity bringing a new dimension into digital transformation.

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Kamalika Some is an NCFM level 1 certified professional with previous professional stints at Axis Bank and ICICI Bank. An MBA (Finance) and PGP Analytics by Education, Kamalika is passionate to write about Analytics driving technological change.

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The future of Artificial Intelligence and what it means to the Enterprise? - Analytics Insight

Artificial intelligence helps lead decisions over Intelligent automation and – 401kTV

Artificial intelligence helps lead decisions over intelligent automation. Intelligent automation can be thought of as a combination of robotic process automation and artificial intelligence, according to an article on the topic in HR Dive. HR Dive is a publication designed for human resources professionals. Organizations that embrace intelligent automation may experience a return on investment of 200% or more, according to an Everest Group report cited by HR Dive. However, that doesnt mean organizations can automatically anticipate a reduction in headcount. Projections of a reduction in workforce thanks to intelligent automation may possibly be inflated.

The Everest Group identified eight companies it called Pinnacle Enterprises. These are companies distinguished by their advanced intelligent automation capabilities and their superior outcomes. These companies generated about 140% ROI and reported more than 60% cost savings, thanks to artificial intelligence and intelligent automation. The companies the Everest Group identified as Pinnacle Enterprises also experienced a 67% improvement in operational metrics, compared to the 48% improvement reported by other organizations. The Pinnacle Organizations also experienced improvements in their top lines, time-to-market, and customer and employee experiences as a result of using artificial intelligence and intelligent automation in their businesses, according to the Everest Group report.

Technology, particularly artificial intelligence helps in many ways. By now, intelligent automation, is infiltrating businesses little by little, especially in the human resources space. Artificial intelligence helps HR professionals. It is easy to see where Artificial Intelligence helps other departments as it was identified as a top employee benefits trend for 2020. Its a trend employers would do well to pay attention to, especially since cost savings and ROI seem to be significant potential positive outcomes of adopting such technologies.

Technologies such as artificial intelligence and intelligent automation make human resources more efficient. According to a Hackett Group report from 2019, HR in organizations that leverage automation technology can do more with fewer resources an important distinction in a department thats often considered the heart of an organization, and that typically has more work than staff to complete it. In addition, the utilization of artificial intelligence and intelligent automation are hallmarks of a distinguished organization. Per the Hackett Group data, cited by HR Dive, world-class HR organizations leverage [artificial intelligence]. As a result, they have costs that are 20% lower than non-digital organizations and provide required services with 31% fewer employees.

Despite the apparent benefits, not everyone is a fan of automated technologies such as artificial intelligence and intelligent automation. Professors at the Wharton School of the University of Pennsylvania and ESSEC Business School, an international higher education institution located in France, Singapore, and Morocco, cautioned employers about the potential downsides of using artificial intelligence and intelligent automation in human resources functions. Specifically, they warned that artificial intelligence could create problems for human resources because its unable to measure some HR functions and infrequent employee activities because they generate little data, can solicit negative employee reactions, and is constrained by ethical and legal considerations. However, human resources professionals are finding some success in using artificial intelligence and intelligent automation to perform functions such as searching through resumes for keywords and assisting with other recruiting functions, for example.

Despite the concerns of some, its likely that artificial intelligence and intelligent automation will continue to command a presence in human resources. As such, automation will prompt organizations to make a heftier investment in talent, noted a study by MIT Sloan Management Review and Boston Consulting Groups BCG GAMMA and BCG Henderson Institute. The study found that employers who successfully embrace artificial intelligence and intelligent automation will build technology teams in-house and rely less on external vendors. Theyll also poach artificial intelligence talent from other companies and upskill current employees to be on the front lines of the automation movement. Artificial intelligence and intelligent automation is here to stay, and its only getting more pervasive, especially in human resources and employee benefits. Employers should be ready.

Steff C. Chalk is Executive Director of The Retirement Advisor University, a collaboration with UCLA Anderson School of Management Executive Education. Steff also serves as Executive Director of The Plan Sponsor University and is current faculty of The Retirement Adviser University.

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Artificial intelligence helps lead decisions over Intelligent automation and - 401kTV

Artificial Intelligence and civil liability. Who pays the damages? – Lexology

Following COVID-19, the use of AI in both public and private sectors seems unavoidable. Many industries stand to benefit greatly from its use; for example; in the manufacturing industry (e.g. industrial robots), in transport (e.g. autonomous vehicles), in financial markets, health and medical care (e.g. medical robots, diagnostic tools and assistive technology), as well as more generally, for example, for self-cleaning public places. However, there are risks related to AI, including its opacity or, as often referred to, its black box features. European Institutions have been trying to address this, and the related issues for a number of years, but the spotlight, post-COVID-19, is now firmly focused on AI.

The European Commission has drafted many documents and including a White Paper on Artificial Intelligence (19 February 2020), with a subsequent draft report detailing recommendations to the Commission on a civil liability regime for AI. This document also suggested a motion calling for a European Parliament Resolution and drawing up a European Parliament and Council Regulation on liability relating to the operation of AI-systems (27 April 2020).

A further study was commissioned by the Policy Department C, at the request of the Committee on Legal Affairs. This study on Artificial Intelligence and Civil Liability was published on 14 July 2020.

In all of these documents, the European Institutions and expert groups stress that a key issue arising from the use of AI (in public or private sectors) is the liability for potential damages, in relation to the use of, or defects caused by AI tools. Many AI-systems depend on external data and are vulnerable to cybersecurity breaches. With opacity and increased autonomy in AI, it becomes increasingly difficult to identify the liable party and the harmed individual, making it challenging to obtain compensation.

Currently, the Product Liability Directive (85/374/CEE) is the framework governing such liability. This directive has been implemented in national member states and it places liability on the producer for damages caused by a product defect. The consumer and generally the injured person has to show evidence of the causal link between the defect of the product and the damage. In a case of damages caused by an AI tool, this, is not so easy to prove.

Nonetheless, these experts stress that a complete review of the general European legal framework on civil liability is not required, but it is necessary to adapt the legislation in force and introduce new provisions.

In light of this, the draft report of the European Parliament includes a proposal for a regulation of the European Parliament and of the Council on liability for the operation of AI-systems. This regulation, if approved, would introduce a new form of liability for the party deploying the AI-system - defined as the person who decides on the use of AI-systems, exercises control over the associated risks and benefits from its operation.

Notably, the proposed regulation provides for a strict liability for high-risk AI-systems, these are systems that display intelligent behavior (see art. 3 and 4). In line with other legislation regarding civil liability in critical and high-risks sectors, the proposed regulation provides for a compulsory insurance cover. Additionally, the proposed regulation establishes the maximum amount of compensation damages.

By contrast, according to art. 8 of the proposed regulation, the deployer of an AI-system not defined as a high-risk AI-system in accordance to the provisions of the regulation, shall be subjected to fault-based liability for any harm or damage caused by a physical or virtual activity, device or process driven by the AI-system.

In short, this means a double track of liability based on the risk of the activity.

Reflecting the traditional principles of civil liability, the proposed regulation introduces other provisions regarding; damages, limitation period, multiple tortfeasors, and so on. In line with other documents that address the issue of liability, the proposed new regulation attempts to find a balance between the protection of user rights and collectivity, and the creation of new and innovative technologies.

Finally, as technology changes faster than legislation in many cases, even the newest legislation may not cover every challenge posed by AI. In the interim, general rules and principles in force should be applied in every legal system, as the law continues to change and adapt.

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Artificial Intelligence and civil liability. Who pays the damages? - Lexology

The AI-boost: Using more artificial intelligence will boost GDP growth – The Financial Express

A PwC study in 2017 estimated the world would gain $15.7 trillion by 2030 if artificial intelligence (AI) was adopted across nations. The study said that AI would first lead to productivity enhancement, and a major portion of gains would accrue from consumer-side effects. China, it had said, could see its GDP rising by around a fourth as it was using AI more aggressively. Although the study did not estimate how much India would gain from using AI, new research by Icrier along with Nasscom and Google shows that even a marginal increase in artificial intelligence adoption may add 2.5% to GDP in the immediate term. Moreover, it highlights that if the government spends the Rs 7,000 crore it had envisaged for the national AI programme, GDP could get boosted by as much as $86 billion. The way Icrier sees it, as AI becomes what it calls a general purpose technologylike the internetits impact rises; essentially, then, the pace of Indias digitisation drive will determine how fast AI is adopted.

To understand how fast the adoption of AI can take place and its impact on total factor productivity, Icrier studied 1,553 firms that have some software investment. What it found was that there was a huge gap in the use of AI, suggesting a large untapped potential. AI-intensity was defined as the ratio of software investment to total sales, and the study found that, for instance, in the case of agriculture, while the average AI intensity is 0.001, the maximum intensity was 20 times as much. For electrical and optical equipment manufacturing, the difference between the average and the top in the industry was 145-times; it was 742 in the case of trade and in the case of services, the average intensity was 0.159, while the maximum intensity was 110.

The report, however, argues that businesses alone wont be able to push AI, the government will have to play a bigger role, by setting up a nodal AI agency to push for AI-adoption and also drive business, government and academia partnerships. Another suggestion is to initiate large-scale skill development programmes to get the workforce ready for AI-adoption. What is worrying, however, is the slow pace of digital adoption so far, though the pandemic has helped speed up things a big; both the education and health sector, for instance, are likely to see faster adoption of AI techniques. A related problem is that of cybersecurity where India needs both a national strategy and a governance structure that is more well-defined.

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The AI-boost: Using more artificial intelligence will boost GDP growth - The Financial Express

$19.9B Artificial Intelligence in Retail Industry, 2027 – Rising Focus on Blockchain and Adoption of 5G Technology – Yahoo Finance

DUBLIN, July 30, 2020 /PRNewswire/ -- The "Artificial Intelligence in Retail Market by Product, Application (Predictive Merchandizing, Programmatic Advertising), Technology (Machine Learning, Natural Language Processing), Deployment (Cloud, On-Premises), and Geography - Global Forecast to 2027" report has been added to ResearchAndMarkets.com's offering.

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The global artificial intelligence in retail market is expected to grow at a CAGR of 34.4% from 2020 to reach $19.9 billion by 2027.

The growth in the artificial intelligence in retail market is driven by several factors such as the rising number of internet users, increasing adoption of smart devices, rapid adoption of advances in technology across retail chain, and increasing adoption of the multi-channel or omnichannel retailing strategy.

Besides, the factors such as increasing awareness about AI and big data & analytics, consistent proliferation of Internet of Things, and enhanced end-user experience is also contributing to the market growth. However, the high cost of transformation and lack of infrastructure are some of the major factors hindering the market growth during the forecast period.

The study offers a comprehensive analysis of the global artificial intelligence in retail market with respect to various types. The global artificial intelligence in retail market study presents historical market data (2018 & 2019), estimated current data (2020), and forecasts for 2027. The market is segmented on the basis of product, application, technology, retail, end-user, and geography.

Based on product offering, the solutions segment is estimated to command the largest share of the overall artificial intelligence in retail market in 2020. This is attributed to the growing adoption of AI-powered solutions and applications by retailers across the globe to identify personalized customer needs, reduce shrinkage by improving loss prevention at point-of-sale, and enhance customer engagement experience. However, the services segment is estimated to witness rapid growth during the forecast period.

In AI solutions segment, based on product type, the chatbots segment is estimated to command the largest share of the artificial intelligence in retail solutions market in 2020. The large share of this segment is mainly attributed to the growing need to improve customer relationship management (CRM) and an increase in awareness about the advantages offered by chatbots over other customer support options. However, customer behavior tracking is poised to post the fastest growth during the forecast period.

Based on learning technology,the machine learning segment is estimated to command the largest share of the overall artificial intelligence in retail market in 2020. The large share of this segment is mainly attributed to the increasing demand from retailers to track dynamic consumer behavior in order to ensure competitive edge in the retail industry, which has also proved as a key to success of stakeholders in many cases. Moreover, ability of machine learning technology to provide better prediction of sales and customer services, better segmentation of customers, and high personalized product recommendations for advertising and promotions is expected to drive the adoption of machine learning technology during the forecast period.An in-depth analysis of the geographic scenario of the market provides detailed qualitative and quantitative insights about the five regions including North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. In 2020, North America region is estimated to command the largest share of the global artificial intelligence in retail market, followed by Europe and Asia Pacific. The large share of this region is mainly attributed to its open-minded approach towards smart technologies and high technology adoption rate, presence of key players & start-ups, and increased internet access. However, the factors such as speedy growth in spending power, presence of young population, and government initiatives supporting digitalization is helping Asia Pacific to register the fastest growth in the global artificial intelligence in retail market.

Key players operating in the global artificial intelligence in retail market are Amazon.com, Inc. (U.S.), Google LLC (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), Oracle Corporation (U.S.), SAP SE (Germany), Salesforce.com, Inc. (U.S.), and BloomReach, Inc. (U.S.) along with several local and regional players.

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Key Topics Covered

1. Introduction

2. Research Methodology

3. Executive Summary

4. Market Insights 4.1. Introduction 4.2. Market Dynamics 4.2.1. Drivers 4.2.1.1. Growing Awareness about AI and Big Data & Analytics 4.2.1.2. Adoption of Multichannel or Omni channel Retailing Strategy 4.2.1.3. Need to Enhance the End-User Experience and Improve Productivity 4.2.2. Restraints 4.2.2.1. High Cost of Procurement 4.2.2.2. Lack of infrastructure 4.2.3. Opportunities 4.2.3.1. Increased Adoption of AI-Powered Voice Enabled Devices 4.2.3.2. Growing Number of Smartphones 4.2.4. Challenges 4.2.4.1. Concerns over Privacy and Identity of individuals 4.2.4.2. Lack of Awareness about AI Technology 4.2.5. Trends 4.2.5.1. Rising Focus on Blockchain 4.2.5.1. Adoption of 5G Technology 4.3. Impact of COVID-19 on the AI in Retail Market

5. Artificial Intelligence in Retail Market, by Product Type 5.1. Introduction 5.2. Solutions 5.2.1. Chatbot 5.2.2. Recommendation Engines 5.2.3. Customer Behavior Tracking 5.2.4. Visual Search 5.2.5. Customer Relationship Management 5.2.6. Price Optimization 5.2.7. Supply Chain Management 5.2.8. inventory Management 5.3. Services 5.3.1. Managed Services 5.3.2. Professional Services

6. Artificial Intelligence in Retail Market, by Application 6.1. Introduction 6.2. Predictive Merchandising 6.3. Programmatic Advertising 6.4. In-Store Visual Monitoring & Surveillance 6.5. Market forecasting 6.6. Location-Based Marketing

7. Artificial Intelligence in Retail Market, by Learning Technology 7.1. Introduction 7.2. Machine Learning 7.3. Natural Language Processing 7.4. Computer Vision

8. Artificial Intelligence in Retail Market, by Type 8.1. Introduction 8.2. Online Retail 8.3. Offline Retail 8.3.1. Brick & Mortar Stores 8.3.2. Supermarkets& Hypermarkets 8.3.3. Speciality Stores

9. Artificial Intelligence in Retail Market, by End-User 9.1. Introduction 9.2. Food &Groceries 9.3. Health & Wellness 9.4. Automotive 9.5. Electronics & White Goods 9.6. Fashion & Clothing 9.7. Others

10. Artificial Intelligence in Retail Market, by Deployment Type 10.1. Introduction 10.2. Cloud 10.3. On-Premise

11. Global Artificial Intelligence in Retail Market, by Geography 11.1. Introduction 11.2. North America 11.2.1. U.S. 11.2.2. Canada 11.3. Europe 11.3.1. Germany 11.3.2. France 11.3.3. U.K. 11.3.4. Italy 11.3.5. Spain 11.3.6. Rest of Europe 11.4. Asia-Pacific 11.4.1. Japan 11.4.2. China 11.4.3. India 11.4.4. Rest of the Asia-Pacific 11.5. Latin America 11.6. Middle East & Africa

12. Competitive Landscape 12.1. Competitive Growth Strategies 12.1.1. New Product Launches 12.1.2. Mergers and Acquisitions 12.1.3. Partnerships, Agreements, and Collaborations 12.1.4. Expansions 12.2. Market Share Analysis 12.3. Competitive Benchmarking

13. Company Profiles (Business Overview, Financial Overview, Product Portfolio, Strategic Developments)13.1. Amazon 13.2. Google LLC 13.3. IBM Corporation 13.4. Intel Corporation 13.5. Microsoft Corporation 13.6. Nvidia Corporation 13.7. Oracle Corporation 13.8. SAP SE 13.9. Bloomreach, Inc. 13.10. Salesforce.com, Inc.

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$19.9B Artificial Intelligence in Retail Industry, 2027 - Rising Focus on Blockchain and Adoption of 5G Technology - Yahoo Finance

IPL returns but will be played in UAE; Indian cricket ecosystem loses out – Times of India

The 2020 version of IPL is finally going to be held but it will be the UAE that is to play host. Even if it is not the best option, it is still a welcome development. The long hiatus appears to have affected the financial health of the cricket board, BCCI. Media reports suggest payments within the cricket ecosystem have been delayed.

The forthcoming IPL will be the longest ever edition, 53 days. It plans to tweak rules to account for the pandemic- unlimited Covid-19 substitutes will be allowed. The tournament will be held in a bio-secure environment following the example set recently by England and West Indies who played a full fledged test series.

Ideally, the IPL should have been held in India given that it is over six weeks away. However, the inclination of state governments to revert to lockdowns and the slow pace of return to normalcy has made it impossible. It represents lost economic opportunities for many in the Indian cricket ecosystem.

Read also: BCCI shares detailed plan for IPL 2020 in UAE

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IPL returns but will be played in UAE; Indian cricket ecosystem loses out - Times of India

2020 Location Technologies Supply Chain and Ecosystem Tracker Market Driver Analysis by Industrial Developments, Perspectives, Trends, Status,…

Global Location Technologies Supply Chain and Ecosystem Tracker Market 2020-2027

GlobalLocation Technologies Supply Chain and Ecosystem Tracker Market Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2027. Market Over viewing the present digitized world, 80% of the data generated is unstructured. Organizations are usingLocation Technologies Supply Chain and Ecosystem Tracker technology to unravel the meaning of such data to leverage business strategies and opportunities. A myriad of unstructured data is available online in the form of audio content, visual content and social footprints.

The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2016-2027.The Report scope furnishes with vital statistics about the current market status and manufacturers. It analyzes the in-depth business by considering different aspects, direction for companies, and strategy in the industry.

The latestLocation Technologies Supply Chain and Ecosystem Tracker market report published by Reports and Markets offers a competency-based analysis and global market estimate, developed using evaluable methods, to provide a clear view of current and expected growth patterns. The report also containsInternational Group market analysis by geographic location across the globe as well as major markets.

Our new sample is updated which correspond in new report showing impact of COVID-19 on Industry

The key manufacturers covered in this report are@Aisle411, Alien Technology, Aruba Networks, Blesh, Bluvision, Bosch, Brickstream, Ericsson, Estimote, Euclid, Fusion, Galileo Satellite Navigation, Geotab, Gimbal, Google, Groupon, Impinj, IndoorAtlas, iPosi, Micello, Mist Systems, Nokia, and Philips

The report provides a calculated assessment of theLocation Technologies Supply Chain and Ecosystem Tracker market data analyzed. It explains different opportunities for different industries, suppliers, organizations, and associations that offer different products and services, for example, by giving specific guidance on how to expand in the competition for reliable consumer services. The report provides detailed information on major market competitors and emerging companies with significant market share based on high-quality demand, revenue, sales, product manufacturers, and service providers.

ForBetter Understanding, Download Sample PDF Copy of Location Technologies Supply Chain and Ecosystem Tracker Market Research Report @

Based on the demand and methods currently used by major market players, the market report provides detailed and succinct evaluations as well as predictions of structured future market growth rates. For better analysis, the report divides the market into different segments of the global market based on various parameters, including product or service quality, applications, and methods. The Location Technologies Supply Chain and Ecosystem Tracker market report provides comprehensive statistics on changes in product types, innovation, and progress that may be caused by inconsequential variations in the product profile. Trends such as mergers and acquisitions play a critical role in the business operation and expansion as every region holds its own exclusivity in terms of production conditions, potential consumers, geographic benefits for resource procurement, and others.

Market Dynamics

Different parameters are used to identify either the growth of the Location Technologies Supply Chain and Ecosystem Tracker market globally or the decline of the market. These different factors are comprehensively analyzed and solutions, as well as ways to increase the market share, are presented in the report. The market growth rate based on the volume of units sold and the value of each product manufactured is identified and is presented in detail. The market share occupied by each of the different products is analyzed for the base period that comprises the year 2016to the year 2027and the forecast period.

The report offers in-depth assessment of the growth and other aspects of the Location Technologies Supply Chain and Ecosystem Tracker market in important countries (regions), including:

North America

Europe

Asia Pacific Counter

Middle East & Africa

Latin America

America Country (United States, Canada)

South America

Asia Country (China, Japan, India, Korea)

Europe Country (Germany, UK, France, Italy)

Other Country (Middle East, Africa, GCC)

Research Methodology

The data that has been collected is from a multitude of different services that include both primary and secondary sources. The data also includes a list of the different factors that affect the Location Technologies Supply Chain and Ecosystem Tracker market either positively or negatively. The data has been subjected to a SWOT analysis that can be used to accurately predict the various parameters that are used to measure a companys growth. The strengths along with various weaknesses faced by a company are included in the report along with a comprehensive analysis of the different threats and opportunities that can be exploited.

Overview

The report published on the globalLocation Technologies Supply Chain and Ecosystem Tracker market is a comprehensive analysis of a variety of factors that are prevalent in the Location Technologies Supply Chain and Ecosystem Tracker market. An industrial overview of the global market is provided along with the market growth hoped to be achieved with the products that are sold.Major companies who occupy a large market share and the different products sold by them in the global market are identified and are mentioned in the report. The current market share occupied by the globalLocation Technologies Supply Chain and Ecosystem Tracker market from the year 2016 to the year 2027has been presented.

Latest industry news

There are plenty of distinguished vendors in the globalLocation Technologies Supply Chain and Ecosystem Tracker market. The analysis in this report highlights the different strategies employed by each of these vendors in order to capture as much market share as they possibly can. The analysis in this report also details their unique product portfolios as well as the different strategies they use to expand their reach in the global market.

Report Answers Following Questions:

What are the factors driving the growth of the market?

What factors are inhibiting market growth?

What are the future opportunities in the market?

Which are the most dynamic companies and what are their recent developments within the Location Technologies Supply Chain and Ecosystem Tracker Market?

What key developments can be expected in the coming years?

What are the key trends observed in the market?

TABLE OF CONTENT

1 Report Overview

2 Global Growth Trends

3 Market Share by Key Players

4 Breakdown Data by Type and Application

5 United States

6 Europe

7 China

8 Japan

9 Southeast Asia

10 India

11 Central & South America

12 International Players Profiles

13 Market Forecast 2020-2027

14 Analysts Viewpoints/Conclusions

15 Appendix

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2020 Location Technologies Supply Chain and Ecosystem Tracker Market Driver Analysis by Industrial Developments, Perspectives, Trends, Status,...

Global SAP Digital Services Ecosystem Market 2020 by Key Players, Regions, Type and Application, Forecast to 2026 – My Kids Health

The latest addition to the MarketsandResearch.biz entitled Global SAP Digital Services Ecosystem Market 2020 by Company, Regions, Type and Application, Forecast to 2026 explores the essential factors of the global market such as industry situations, market demands, market players, and their growth scenario. The report serves market analysis that comprises present and traditional growth analysis, competitive analysis, as well as the growth prospects of the central regions. The report offers a thorough evaluation of the driving forces of the global SAP Digital Services Ecosystem market. The report is monitored based on separation by type, application, key players, and end-user.

Enumerating Some of The Most Important Pointers Addressed In The Report:

The report sheds light on core business values, market trends, revenue growth patterns market shares, and demand and supply, production, key regions, revenue rate, and key players. After reading this report, the key stakeholders can know about the major trends, drivers, investments, vertical players initiatives toward the segment in the upcoming years along with details of the companies entering the global SAP Digital Services Ecosystem market. The report demonstrates product launches, promotional activities, and brand tendencies, as well as ventures, acquisitions, and mergers and consolidation.

DOWNLOAD FREE SAMPLE REPORT: https://www.marketsandresearch.biz/sample-request/58178

NOTE: Our report highlights the major issues and hazards that companies might come across due to the unprecedented outbreak of COVID-19.

Market Competition By Top Manufacturers:

The competitors are segmented into the size of their individual enterprise, buyers, products, raw material usage, and consumer base. The raw material chain and the supply chain are described to make the user aware of the prevailing costs in the market. The market research report classifies the competitive spectrum of this global SAP Digital Services Ecosystem industry in a comprehensive manner. These details help the companies to garner market revenue by understanding strategies and approaches.

According to the document, the competitive spectrum of the market comprises of companies including: Accenture, International Business Machines, Deloitte Touche Tohmatsu, Capgemini, Tata Consultancy Services, DXC Technology, Infosys, Atos, T-Systems International GmbH, Wipro, Cognizant Technology Solutions, Hitachi Systems, Itelligence, HCL Technologies, NTT DATA, PwC (Pricewaterhousecoopers Llp), Tech Mahindra,

Segment by product type, this report focuses on consumption, market share, and growth rate of the market in each product type and can be divided into: ERP, CRM

Segment by application, this report focuses on consumption, market share, and growth rate of the market in each application and can be divided into: IT and Telecommunication, Aerospace and Defense, Manufacturing, Other,

Further, each regional market is comprehensively studied with a key focus on import and export, leading players, production value growth rate, and production growth rate: North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia etc.), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)

ACCESS FULL REPORT: https://www.marketsandresearch.biz/report/58178/global-sap-digital-services-ecosystem-market-2020-by-company-regions-type-and-application-forecast-to-2026

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This report can be customized to meet the clients requirements. Please connect with our sales team ([emailprotected]), who will ensure that you get a report that suits your needs. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements.

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Fanbytes Fund aims to create an ecosystem to support Black businesses and creators – The Drum

Influencer marketing agency Fanbytes has committed 100,000 towards campaigns for Black-owned businesses and by Black creators.

It further aims to invest 1m over the next 12 months in the hope of kickstarting a new ecosystem of Black talent.

Due to a lack of funding, many Black businesses are unable to elevate their propositions, and Fanbytes data has revealed that while Black creators have a click-through-rate (CTR) of 2.2x more than white influencers, they are often overlooked because they do not fit the typical image of influencers.

These biases are damaging, and perpetuate a cycle of inaccessibility, said Fanbytes founder Tim Armoo: The Fanbytes Fund is here to break the cycle by providing previously inaccessible marketing support, so [brands and creators] can get to the next level and go against this cycle. If we can play a role in this for some of the brightest companies then we can help kick start the next generation of Black-owned companies.

The fund will back consumer-focused businesses "around the 5-15k monthly revenue" mark, for which the paid support is "enough to take them to the next level".

It will fund their influencer marketing campaigns, which will also feature predominantly Black creators.

In recent weeks, many companies and agencies have paid lip service to the Black Lives Matter movement by attempting to reform their practices, yet as Armoo pointed out, most fail to act upon their promises.

Most of the people who are driving this change are not from the community themselves and they are not practitioners - they dont understand the real reasons for the problems these audiences face.

Luckily I am both a working-class and Black boy, who through advertising and tech has pulled himself up, and I also understand the real reasons behind the disparity.

Understanding the messaging and the effectiveness of the influencers' content enables us at Fanbytes to see what companies are missing in their marketing strategy and to bring these creators to the forefront.

Enabled by Fanbytes, the fund is also assisted by its investors including Jerry Bulhmann (Dentu Aegis chief executive), John Taysom and the team at Founders Factory.

If the fund achieves its aims it will provide a helping hand to Black entrepreneurs, and assist overlooked creators receive the attention and payment they deserve.

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Fanbytes Fund aims to create an ecosystem to support Black businesses and creators - The Drum

Green Hills Software welcomes Argus Cyber Security into its automotive ecosystem – New Electronics

The partnership follows a successful automotive customer collaboration in which the Argus Control Flow Integrity product has been jointly integrated to work with Green Hills Softwares industry-leading optimising C/C++ compiler.

The joint solution secure safety-critical ECUs in vehicles across European OEMs next year. As vehicles become increasingly dependent on software and connectivity, their exposure to cyber-attacks increases. Leveraging the existing security and safety capabilities of the Green Hills C/C++ Compiler, the Argus Control Flow Integrity integration supports AUTOSAR classic devices running on the Renesas RH850 processor family, providing protection from cyber attacks such as buffer overflows with zero false positives.

By optimising Argus Control Flow Integrity for the Green Hills Compiler, we have reduced the complexity and time involved for automotive software developers to enhance cyber security in their platforms. said Nir Rozen, VP Product Management, Argus Cyber Security.

We are excited to be working with Argus Cyber Security and have them join our rich ecosystem of best-in-class technology providers. said Chris Tubbs Business Development Director EMEA, Green Hills Software.

Argus Control Flow Integrity is one layer in Argus multi-layered Connected ECU Protection and Argus Core ECU Protection product offering. Compliant with ISO 26262 ASIL B, Argus Control Flow Integrity protects also safety-critical ECUs in the vehicle, such as braking, ADAS and more, from cyber-attacks. In addition, Argus Control Flow Integrity will work with ECUs running high-level operating systems, AUTOSAR Classic, and bare metal ECUs.

Green Hills Compilers are certified to ISO 26262 ASIL D, and are heavily used in safety systems and ECUs running bare metal, AUTOSAR Classic, OSEK, or higher-level operating systems. Green Hill Compilers provide support for C, C++11, C++14, C++17, Embedded C++ and GNU C/C++ extensions across a broad range of processors.

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Green Hills Software welcomes Argus Cyber Security into its automotive ecosystem - New Electronics

The allure and trajectory of the Egyptian tech ecosystem, as told by one of its oldest institutional investors – TechCabal

Of the seven countries in North Africa, Egypt stands out in the remarkable acceleration of its technology industry in the last nine years. Prior to the 2011 revolutions that swept across much of the region, there were not a lot of players in the space.

Those were very difficult times to start a business and to find capital, says Tamer Azer, Principal at Sawari Ventures.

There werent that many players in the space outside of Flat6Labs, which is probably the regions largest accelerator.

But post-revolution and as the country moved towards political stability as the years wore on, the rise of the internet as an influential tool drove a lot of the younger population towards tech entrepreneurship. As a result of this momentum, increased capital [PDF] and the advent of more accelerators and incubators followed.

Now, weve got multiple new funds, a number of accelerators, seed investors, multiple angel networks, as well as a few Series A investors in the market including Sawari Ventures, Azer says.

Sawari Ventures, which has been around since 2010, is one of a few Series A venture capital firms investing in startups with clear product market fit.

With its US$40 million fund, the firm invests anywhere between US$1-3 million per ticket and up to US$5 million for the life of a portfolio company with operations in Egypt, Tunisia or Morocco. In the early 2010s, the firm started out building Flat6Labs, which was the first and is now the largest accelerator programme in the country, as well as offering seed funding to the trove of new startups that were emerging.

Its US$40 million fund is part of a US$70 million target Sawari Ventures North Africa Fund I which it plans to invest in the North Africa region in the next four years.

Just last month, co-leading with Partech Ventures, Sawari made a US$4million investment in MoneyFellows, a financial technology startup for loans and collective savings. It has also invested in Swvl, the tech-enabled public transportation company among a number of others.

Since the coronavirus pandemic began late last year, Startup Genome has been conducting a series of research work to monitor the effect of the global health crisis on venture capital funding in the continent and around the world. Since December 2019, global VC funding has fallen 20% and while momentum picked up towards the end of March, funding levels are still understandably lower than pre-crisis numbers.

While a number of sectors have seen significant uptake as a result of the pandemic, many others will bear the brunt of the economic fallouts of the crisis now and in the coming months.

In Startup Genomes The Impact of COVID-19 on Global Startup Ecosystems: Global Startup Survey report, about 50% of the startups surveyed were trying to raise funds pre-COVID. Of the percentage that had a term sheet (17%) signed or unsigned, only 13% of them were able to close the rounds. Many have had the fundraising processes delayed, completely cancelled or investors that have gone cold turkey.

When you think about the impact of the pandemic on the technology ecosystem, it is natural that some companies will survive while others wont.

To say now how this will change the investment strategies will be tricky, Azer explains.

Because you have to think of investment strategy as a function of opportunity cost and the performance of your portfolio companies.

If an investors portfolio companies are handling the crisis well and taking advantage of the business opportunities it presents, then this will mean the investors opportunity cost will be low and theyll have more capital to invest. However, if an investors portfolio companies need funding support then there is less capital now available but then, they might have fewer companies at the end of the day so that opportunity cost might remain unchanged.

There are definitely people looking to invest in industries that are thriving because of this; fintech, healthtech, e-grocery, e-commerce, those types of things, Azer says.

Thats where a lot of people are going right now.

As with many other institutional investors at this time, much of the work has been to stay in constant communication with portfolio companies to understand how the pandemic is impacting the business but also to ensure that staff welfare is priority and that founders are looking to pivot where necessary.

If any of our portfolio companies need money we help them secure that funding, bid around for and/or participate in a round for them, Azer says.

A lot of companies have had to take drastic measures to cut fast and deep while a number of others have had to explore new services and revenue streams to stay afloat.

One of our companies called Elves [a virtual assistant platform] has been moving into some fintech solutions, he says.

Ultimately as a company you can either stay the course and lower your operating costs or find new revenue streams.

One of the other conversations around how the pandemic will impact the ecosystem has been around valuations with many saying that the time presents opportunities to bring them lower down to their actual values. Azer is of the opinion that valuations will not drop just as a result of the clime but will also be subject to an investors opportunity cost based on how its portfolio performs, how many companies survive and how much capital is left in the investors fund.

Its really hard to say now, he said during the Africa Tech Summit Connects podcast interview in May.

And since this is a game of time, valuations will decline or not for a relatively young fund and a vintage or older fund a lot more differently.

If youve got an older fund or early vintage fund, youre going to want to invest in things like fintech and healthtech. But a young fund manager might look to also go into something like travel, Azer says on our call.

If you go into travel now, youre looking at significantly value deals which you can take care of because you have a much longer runway, he says of young funds.

Exits are rare and far between in the African tech ecosystem but the MENA region has seen a number of significant exits. Flat6Labs, Sawaris accelerator and early stage fund exited its first company, Harmonica [online dating platform] to Match Group, owners of Tinder and OkCupid, last year. Also last year, Helios Investment Partners partially exited Fawry, Egypts leading fintech platform through an IPO on the Egyptian Stock Exchange.

Why these arent happening with as much gusto as investments are coming into the ecosystem across the continent is a combination of factors including valuations, a problem of scale oftentimes driven by the gaps in venture funding through the lifecycle of a startup from early into growth stage.

As early stage investors it is our responsibility to push companies further down the value chain, helping them grow to the point where they attract international interest, because ultimately, the funding gap here means that you can probably take a company to series A or B but once you get to that point you really need to be able to bring international players to move it further down the value chain, Azer explains.

This is the next step for the investment players in the Egyptian and North African ecosystem.

Every entrepreneur, every VC, probably across the continent is really focused on exits because it creates the use case plus attracts more funding for entrepreneurs to feel that what they do is going to reward them eventually.

And so everyone is trying to support companies to exit because that is how we get the snowball effect that we need for this industry to grow.

We still havent seen a unicorn so to speak. But we have been seeing a lot more smaller exits, Azer says.

We are seeing some local investors exit their stakes and make fantastic results and we are, as investors and as an investor community, trying to collaborate to get more companies to that threshold.

With regards to scale, oftentimes the mandates of investors mean that their investments are unable to cross their geographical terrain and so very few investors can cross markets. One thing he advises is for investors across regions to do more deals together leveraging localised networks and market understanding to help the companies grow in their new markets. But this is not very straightforward with investors given the mandates that their funds come with.

You need local ecosystems to be able to support companies to grow to a certain extent so that they can then expand into other countries on the continent and that is an iterative process. It is a labour of love and it will take time.

The future is even brighter for the ecosystem as more of these smaller exits occur, investments continue to come in and the ecosystem continues to mature in the quality of technology solutions that they are building to solve the country and regions problems.

Two years ago, the ecosystem came together to create what it calls The Startup Manifesto, a comprehensive document of the ecosystems challenges, areas where it needed assistance and in what ways.

It was our way as an ecosystem to get our voice heard and to get together and decide what are the things we need and want, not just from a regulatory perspective, Azer explains.

The Manifesto is publicly available for all the ecosystem players as a reference and working document and will serve as a basis for engagement with government and regulatory agencies as the ecosystem grows. Already, through funds like Egypt Ventures and an accelerator, Falak, the government is becoming more involved in the activities in the space.

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The allure and trajectory of the Egyptian tech ecosystem, as told by one of its oldest institutional investors - TechCabal

Scientists Say We Need to Save The World’s Parasites Before We Lose Them Forever – ScienceAlert

There are lots of animals that need conservation help. Cuddly creatures like pandas and koalas, or brainy beasts like whales and octopuses, just to name a few. But a team of scientists is urging us to not forget one particularly unlovable group that also needs our assistance: parasites.

Parasites, the team explains, have a bit of a PR problem. They're not just blood-sucking monsters, or freeloading fiends (which, don't get us wrong, they still are). As the team says, parasites also perform incredibly significant ecological roles.

Parasites influence the survival and reproduction of many host species, and form vital links across food chains. For example, they increase predatory birds' killifish kills by up to 30 times by messing with the fish's brains in a way that makes them more vulnerable to the birds. Alas, so many of these complicated interactions are unknown to us.

"Parasites are an incredibly diverse group of species, but as a society, we do not recognise this biological diversity as valuable," saysecologist Chelsea Wood from the University of Washington.

"The point of this paper is to emphasise that we are losing parasites and the functions they serve without even recognising it."

The paper is part of an entire issue of the journal Biological Conservation devoted to parasite conservation. There's an article about how efforts to save parasitic host species still threaten the parasites due to differences in captivity, and oneon how we assess the conservation status of parasites. The focus of Wood's team's paper is on how to create a global parasite conservation plan.

"Found throughout the tree of life and in every ecosystem, parasites are some of the most diverse, ecologically important animals on Earth - but in almost all cases, the least protected by wildlife or ecosystem conservation efforts," the authors explain in their paper.

"Our working group identified 12 goals for the next decade that could advance parasite biodiversity conservation through an ambitious mix of research, advocacy, and management."

Now, it might sound a bit weird to get so invested in parasites, when we're not even sure how all the animals they live in are faring, and at a time when all sorts of speciesare facing extinction threats.

As the team explains, cuddly or charismatic animals get the bulk of funding when it comes to conservation, and we've only identified around 10 percent of the parasites that inhabit them. That's a problem.

"If species don't have a name, we can't save them," says co-lead author Colin Carlson, a biologist at Georgetown University.

"We've accepted that for decades about most animals and plants, but scientists have only discovered a fraction of a percentage of all the parasites on the planet. Those are the last frontiers: the deep sea, deep space, and the world that's living inside every species on Earth."

The team of researchers from the US, Spain, and Australia have identified 12 goals for the next decade to help keep our parasitic friends around for generations to come.

(Carlson et al., Biological Conservation, 2020)

These are split into four groups data collection and synthesis, risk assessment and prioritisation, conservation practice, and outreach and education.

As you can see in the image above, these goals are ambitious. Everything from education about parasitism to formally protecting endangered parasites needs to get done.

The twelfth goal though, might be the most pioneering of them all.

"In the spirit of that challenge, we propose a final ambitious goal: describe half of parasite diversity on Earth," the team writes.

"Some targets will be difficult to estimate, and initial estimates will have wide confidence intervals, especially for groups like parasites of invertebrate hosts that are under described and under-represented in biodiversity data. Even so, systematically using the best-available methods to define initial 50 percent description targets will vastly improve our understanding of global parasite biodiversity."

Just a note here that the team isn't focused on human or domesticated animal parasites so you don't need to worry about them formally protecting the ring worm, ticks, or lice we all know and love (or hate).

But that doesn't mean that the researchers don't expect some backlash, especially from those not already in the parasite biology corner.

"Fully describing 50 percent of parasite biodiversity, like all the other goals identified here, could be dismissed as overly ambitious and too low priority given the many fronts on which resources for combatting global change biology are already spread thin,"the team writes.

"Climate change, emerging diseases, and mass extinction are already monumental crises that desperately need more personnel and funding.

"However, we believe all available scientific evidence suggests that neglecting the hidden world of parasites only limits our efficacy in fighting these other battles, and will lead to more and worse unexpected outcomes."

So next time you think of animals that need protecting, maybe spare a thought for the humble parasite. Or we might end up losing these creatures and any vital role they play within our ecosystems before we even discover what they are.

The paper has been published in Biological Conservation.

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Scientists Say We Need to Save The World's Parasites Before We Lose Them Forever - ScienceAlert