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The healthcare analytics market continues to gain traction as the healthcare industry transitions to a value-based care model. Value-based care focuses on quality of care delivery as opposed to volume of patients served. There are great opportunities for data analytics due to the high volume of information that must be routinely collected, tracked and interpreted, particularly in the hospital setting. Examples of value-based care programs in the hospital setting include the Hospital Value-Based Purchasing (HVBP) Program and the Hospital Readmission Reduction (HRR) Program.

Though in its nascency, the Indian banking sector is beginning to adopt artificial intelligence (AI). While large commercial and investment banks globally are incorporating AI and blockchain for both back-office and customer-facing purposes, in India, widespread adoption of these technologies has not yet come to fruition. 

Machine translation has significantly evolved over time, especially in terms of accuracy levels in its output.

This week on AI in Industry, we explore IoT security with Bob Baxley (Chief Engineer at Bastille). This includes information on how different IoT security is compared to infosec, the unique challenges IoT security presents (for detecting and scanning wireless network traffic that runs on various protocols and for classifying types of cyberthreats), what the future of IoT security might look like, and how deep learning and machine learning tools can be used to better classify and detect threats and attacks in the cyberspace.

Gunjan Bhardwaj is the Founder and CEO of Innoplexus, a leader in AI, machine learning, and analytics as a service for healthcare, pharma, and the life sciences. He was earlier with the Boston Consulting Group and before that the leader of the global business performance think-tank of Ernst & Young and a manager in the German practice with a solution focus on strategy and innovation.

The amount of data companies have on customers and the number of channels customers are using to interact with businesses have grown significantly in the past decade. Artificial intelligence may hold great promise in optimizing customer and client interactions.

In the last 12 months, Montreal has arrived on the world stage as an epicenter for machine learning and artificial intelligence. The city's extraordinarily high density of AI talent isn't new, but the demand for machine learning is, and the proverbial "tech spotlight" is now shining bright on this very French Canadian city.
In just the last few months:

Introduction: In this episode of AI in Industry, we explore how artificial intelligence can be use to manipulate human behavior - in gaming and in business. We explore how game designers use psychology and machine learning to drive their own desired outcomes, leaving users to "feel" in control.

Lending is a massive business in the United States which directly and indirectly touches almost all parts of the economy. With tens of millions of Americans holding loans worth trillions of dollars, any technology that can make even a small improvement in a company’s returns on the loans they hold, or that can improve their share of the market, would be worth a significant amount of money.

Talent sourcing and recruitment are at the center of developing and maintaining the U.S. labor force. The U.S. Bureau of Labor Statistics (BLS) projects that over the decade spanning from 2016 to 2026, the labor force will increase by 11.5 million. This increase is approximately equivalent to a 0.7 percent annual growth rate.