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How Artificial Intelligence Will Help Decide This Season’s NFL Pizza Delivery War

In this contributed article, Campbell Brown, CEO & Co-Founder of PredictHQ, analyzes how companies that double down on smarter ways to accurately forecast demand during NFL season can be successful – which in today’s world, represents an opportunity for competitive advantage that businesses won’t want to pass up.

Top 3 Technologies Changing the Way Sales Teams Function in a Post COVID Economy

Over the last few months, the entire sales industry has seen dramatic changes in the way teams function and interact with customers. Technological innovations in AI and automation are creating a new generation of small and focused hyper-intelligent sales teams able to service and manage thousands of customers. Our friends over at Groove, a fast-growing sales engagement platform, put together a list of the top 3 technologies that are changing the way sales teams function in a post COVID economy.

The Evolution of Digital Banking Post COVID-19

In this contributed article, Karen Krivaa, VP of Marketing at GigaSpaces Technologies, discusses how Open Banking will become more of a necessity now and the need for efficient data architecture to help drive the adoption. In the current COVID-19 climate, this notion brings the Digital Banking (with need for Open Banking) idea back into the limelight.

How AI Motivates A Remote Workforce

In this contributed article, Dr. Tommy Weir, CEO and founder of enaible, discusses how to use AI to ensure that workers are focused “deep work” — the work that fulfills the most important business objectives — rather than process work. AI can also help companies reveal who the most valuable knowledge workers are – those that are making a big difference in fulfilling company objectives and driving profits.

The Data Governments are Using AI to Fight COVID-19 in Africa and Asia

Fraym is using artificial intelligence and machine learning to help aid organizations in Africa and South Asia identify populations at risk due to Covid-19 using new geospatial visualizations.

COVID-19: The Great Artificial Intelligence Accelerator

In this contributed article, Ramayya Krishnan, Ph.D., the W. W. Cooper and Ruth F. Cooper Professor of Management Science and Information Systems at Heinz College and the Department of Engineering and Public Policy at Carnegie Mellon University, discusses how history shows, COVID-19 is likely to further reinforce the profound impact technology and AI have on our daily life. As long as we can collectively prepare for and embrace this reality – all indicators point to a promising future.

Did Big Data Fail Us During COVID-19?

In this contributed article, tech blogger Caleb Danziger observes that governments and organizations across the world have employed big data to respond to the COVID-19 crisis. Some continue to sing its praises, but should that be the case? How has the world of big data affected the fight against coronavirus?

Healthcare Hit by Data Tsunami

In this contributed article, David Leichner is CMO at SQream, discusses how healthcare organizations are waging battles against cancer, diabetes and heart disease while also struggling to beat the COVID-19 pandemic. Despite the fact all of these illnesses have different symptoms and causes they all have something in common. Big Data is being fed into models that can find potential treatment and cures.

Three Ways Data Scientists are Fighting COVID-19

Data scientists in academia, non-profits, and the government have come together to track and respond to the economic & humanitarian impacts of the coronavirus. Put together by our friends over at SafeGraph, here are three ways data scientists are fighting COVID-19.

UCLA DataFest Winners Announced, Presentations Posted

For the annual UCLA DataFest, student worked hard with data pertaining to the monumental challenge we are all facing: COVID-19. This year’s virtual version of ASA DataFest at UCLA brought forth unforeseen challenges and wonderful opportunities. This beloved tradition is generally a competition wherein groups of three to five students have just 48 hours to make sense of a huge data set and present their findings in five minutes, using just two slides.