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Senzing’s Software for Real-Time AI for Entity Resolution to Fight Financial Crime

Senzing, a new artificial intelligence-based (AI) software company, announced its Senzing software product to address the $14.37 billion financial fraud market. Senzing is an IBM spinout that has reinvented entity resolution, which senses who is who in real time across multiple big data sources.

Advancements in Dynamic and Efficient Deep Learning Systems

We’re seeing much hype in the marketplace about the potential of AI, especially with respect to computer vision systems and its ability accelerate the development of everything from self-driving cars to autonomous robots. To create more dynamic and efficient deep learning systems, that don’t compromise accuracy, IBM Research is exploring new and novel computer vision techniques from both a hardware and software angle.

Deep Reinforcement Learning: From Board Games to the Boardroom

In this contributed article, Andrew Vaziri, a Senior Artificial Intelligence Engineer at Bonsai, highlights how we are now entering the age of profit-making Deep Reinforcement Learning (DRL), and why it took so long for this technology to make the leap from board games to the boardroom?

AI Ethics and The New Digital Divide

In this contributed article, Paulo Malvar, Chief Computational Scientist at Codeq LLC, advises that the entire AI field needs to engage in serious conversations around the ethics of the products we create or we’ll face the consequences. Another AI Winter is very possible, but this time it wouldn’t be triggered by our over-promises, but by society’s perception of us and our creations.

Want to Build an AI Product? Data is Key

In this contributed article, Mahe Bayireddi, CEO and co-founder of Phenom People, explains the different waves of AI (both current and future) and to help readers understand the importance of labeled data. Further, In order for artificial intelligence to truly reach goal-based AI in the future, we need entrepreneurs, innovators, and disruptors to continue to build AI-driven products.

Interview: Dr. Bhushan Desam, Director, Global AI Business at Lenovo

I recently caught up with Dr. Bhushan Desam, AI global business leader for Lenovo’s Data Center Group to discuss how the digital transformation of business isn’t truly possible without incorporating machine learning. Digital transformation is underway. As the C-suite demands better insights from data, enterprises will be tasked to make data-driven decisions based on those insights.

Hortonworks Data Platform 3.0 Enables Containerization and Deep Learning Workloads

Hortonworks, Inc.® (NASDAQ: HDP), a leading provider of global data management solutions, today announced Hortonworks Data Platform (HDP) 3.0, which delivers significant new enterprise features including containerization for faster and easier deployment of applications, and increased developer productivity. The new version of HDP enables customers to more quickly, reliably and securely get value from their data at scale to drive business transformation.

NXP Delivers Embedded AI Environment to Edge Processing

NXP Semiconductors N.V. (NASDAQ:NXPI) announced a comprehensive, easy-to-use machine learning (ML) environment for building innovative applications with cutting-edge capabilities. Customers can now easily implement ML functionality on NXP’s breadth of devices from low-cost microcontrollers (MCUs) to breakthrough crossover i.MX RT processors and high-performance application processors.

Using Artificial Intelligence to Treat Addiction

In this contributed article, digital marketer Tiago Lacerda discusses the various ways AI can be used to help treat addiction. It makes sense that utilizing the potential of AI would reach a hotly discussed but woefully unaddressed issue in societies across the planet: substance abuse and addiction.

AI Technology and the Critical Role People Will Play in Driving AI Forward

In this special guest feature, Mark Sears, Founder and CEO at CloudFactory, provides a few ways people are involved in making AI-powered systems work better, faster and more accurately. Advances in AI and other disruptive technologies don’t just happen. They take well-trained, tech-savvy people who can process massive amounts of data quickly and accurately to help companies get solutions to market, or scale a critical data process fast.