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How Generative AI Can Augment Creative Output, Reshape the Future of Storytelling and Content Production

In this special guest feature Debajyoti (Deb) Ray, Founder/CEO of RivetAI, discusses how AI is impacting the film/entertainment industry. Disruptive AI technologies are significantly boosting creative productivity, and it’s not just happening in the movie business: the $450 billion content production industry is ripe for the picking, too.

Trends in Entertainment Industry Push Enterprises Toward AI Tools

This is the second entry in a five-part guide series that explores how artificial intelligence is revolutionizing and evolving the media and entertainment industries. This post explores how trends in the media and entertainment industries are leading enterprises to increasingly adopt AI tools. 

Fundamentals in the Oil Field Matter Even More with Big Data

In this contributed article, Shiva Rajagopalan, President and CEO of Seven Lakes Technologies, discusses how big data is being used and what the opportunities are in the billion dollar oil & gas industry. The objective for success is straightforward for the oil and gas operations: bring the usefulness of data out of the office and make it all about the field.

Combining the Benefits of Commercial & Open Analytics

A new e-book explores how organizations in many industries are using open source analytics and SAS, getting the most from both, and what role SAS plays throughout the analytics life cycle.

Interview: Prasad Akella, Founder and CEO of Drishti

I recently caught up with Prasad Akella, Founder and CEO of Drishti to discuss how factory use of AI technology is gaining a lot of traction, and how his company uses the commercial application of action recognition and AI innovations to automatically digitize human actions inside the factory.

The Use of NLP to Extract Unstructured Medical Data From Text

In this contributed article, Luke Potgieter, tech advisor for John Snow Labs, discusses the important of NLP for the healthcare industry, and offers two common AI-in-healthcare use cases. NLP is a very useful and important tool for use in AI in dealing with unstructured data.

Demand Forecasting Mistakes in the Retail Industry

In this special guest feature, Aaron Hoffer, Lead Data Scientist for Alloy, discusses common problems he has seen in forecasting processes, and the importance of focusing on “true demand.”

8 Ways 8 Billion Data Points Can Lower Diabetes Costs

In this contributed article, David Conn, Chief Commercial Officer at Glooko, discusses how dealing with diabetes requires data, and how data science provides deep access to key aspects of chronic disease progression and treatment. Insights created by the data collected is key to improving overall care and avoiding risk in diabetes management.

Explore How to Detect and Address Machine Learning, AI Bias

Alegion is fully aware of the potential for machine learning bias because as they produce AI training data, the company is on the lookout for biases that can influence machine learning. A new white paper from Alegion, “Four Sources of Machine Learning Bias,” explores the four sources of AI bias, and how to mitigate these challenges for your AI systems. 

Big Data and the Opioid Crisis

In this contributed article, freelance human Avery Phillips takes a look at the opioid crisis and how two major components of big data can help find a solution including patient behavioral analysis, and also prescription/outcome tracking.