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How to Catch Payments Fraud with AI

In this contributed article, Jon Lawrence, VP Product Management, at Oversight, discusses the role of AI in catching payments fraud and the ability to layer technology across the process to continuously monitor every transaction, examine every vendor, check every purchase order, audit every invoice and scrutinize each payment. AI transforms a passive,...

New Survey of Data Science Pros Finds that AI Explainability is their Top Concern

In late October 2020, venture capital firm Wing conducted a survey, "Chief Data Scientist Survey," of 320 of the senior-most data scientists at both global corporations and venture-backed startups, in advance of its annual Wing Data Science Summit. AI explainability came out on top as the leading concern.

Beyond Survival – Data and Analytics Help Businesses Reimagine the Future

In this special guest feature, Natalia Modjeska, Research Director, Applications – Data & Analytics at Info-Tech Research Group, provides best practices and use case examples of how businesses are leveraging data and analytics to address pandemic challenges and move beyond "survival mode."

Study: Big Data Saves Lives, And Patient Safeguards Are Needed

The use of big data to address the opioid epidemic in Massachusetts poses ethical concerns that could undermine its benefits without clear governance guidelines that protect and respect patients and society, a University of Massachusetts Amherst study concludes. In research published in the open-access journal BMC Medical Ethics, Elizabeth Evans, associate...

2021 Trends in Data Science: The Entire AI Spectrum

In this contributed article, editorial consultant Jelani Harper takes a look at 2021 and how data science will increasingly prioritize integrating the entire spectrum of data and AI methods, including aspects of its statistical and knowledge base, into daily deployments across the enterprise.

Why CRM and Data Warehouses Fail with Customer 360

This whitepaper, "Why CRM and Data Warehouses Fail with Customer 360," from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the insurance industry, do not manage customer-related data well. The core elements...

AI-driven IoT: What Businesses Need to Know About the Next Frontier

In this special guest feature, Abhishek Bishayee, Associate Vice President - Strategy and Solutions at Sutherland, believes that while AI-driven IoT is already making its mark, we are only at the start of this exciting union and realizing the potential extent of its impact. The combination of both technologies enables businesses with a physical presence...

Do NoSQL Databases Need Schemas?

In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, observes that NoSQL was developed to counteract SQL, being both horizontally expandable, and not even needing to use a schema at all.t? Traditionally, SQL databases tend to be very costly, from their vertical-only expansion to a large amount of design required to be done...

How Artificial Intelligence Will Revolutionize the Way Video Games are Developed

In this contributed article, co-founder of Hackr.io, discusses how artificial intelligence will revolutionize the way video games are developed. AI has brought a change in the gaming industry ever since its inception. Over the years, we have seen drastic changes in the way games are developed. In today's technologically advanced world, games have become...

87 Percent of US Retailers Race to Achieve Faster Data-Driven Insights to Support Online Sales

Exasol, the high-performance analytics database, published new research that reveals since the pandemic started, 87% of retail organizations in the U.S. have been under pressure to make data-driven decisions faster. The finding comes from an in-depth research report, “Retail: Decision making during times of uncertainty,” that quantifies how retail organizations...

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