How do baseball scouts use machine learning and AI to predict player performance? Ari Kaplan, Principal at Aginity, and David Kearns, Offering Manager, IBM Analytics Ecosystem, join us to talk about the recent merge of H20.ai and IBM. They also discuss how baseball decisions are made using
A look into how machine learning and deep learning techniques can impact the way companies implement metadata discovery and business term assignments using the IBM Unified Governance & Integration platform.
Most sales-driven organizations have needed a customer retention model at some point or another. The request is fairly straightforward: identify the customers that a business might lose. But the process can create a nightmare.
Gain a fresh perspective on data and AI in the healthcare industry from Tanmay Bakshi. Recorded live at the IBM Toronto Lab in Canada, Bakshi and host Al Martin discuss the impact of data in healthcare, including mental health for youth and helping people communicate through the use of brain
Welcome to Thoughts on AI, a new blog series focused on issues and advances in artificial intelligence. We’ll cover the technologies and people shaping the future AI. First up: avoiding bias built into intelligence and analytics.
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Jennifer Shin, an analytic pro with data superpowers, enshrined in comic book form.
Faster than a speeding bullet. More powerful than a locomotive. Able to leap massive data sets in a single bound. Meet Bob Hayes, the president of Business Over Broadway, an analytics pro with data superpowers, enshrined in comic book form.
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
Watch to learn how to drive faster insights as machine learning accelerates data classification and quality. Featuring Madhu Kochar, VP Analytics Development, IBM and Anantha Narasimhan, Program Director, IBM.