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Intel AI Lounge – Bryce Olson, Global Marketing Director, Health and Life Sciences at Intel

In this Silicon Angle video interview, Bryce Olson, Intel Global Marketing Director, Health and Life Sciences and stage 4 cancer survivor, set out to find better treatment for his illness through technology. By using AI to sift through his DNA data, he is now in remission.

Machine Learning Interpretability with Driverless AI

In this presentation, our friends Andy Steinbach, Head of AI in Financial Services at NVIDIA, and Patrick Hall, Senior Director of Product at H2O.ai discuss Machine Learning Interpretability with Driverless AI. Interpretability is a hugely popular topic in machine learning. Wherever possible, interpretability approaches are deconstructed into more basic components suitable for human storytelling: complexity, scope, understanding, and trust.

Text Analytics – Unstructured Data Analysis

Presented by noted data scientist Derek Kane, this video provides an introduction to text analytics for advanced business users and IT professionals with limited programming expertise. The topics covered include search engine building, categorization (supervised and unsupervised), clustering, NLP, and social media analysis.

Virtualitics: Caltech & NASA Scientists Build VR/AR Analytics Platform using AI & Machine Learning

Virtualitics is a transformative start-up company that merges artificial intelligence (AI), big data and virtual reality (VR), and augmented reality (AR) to gain insights from big and complex data sets. Furthermore, Virtualitics leverages AI and easy-to-use machine learning tools so even non-expert users can uncover multidimensional relationships present in complex data sets with the click of a button.

Impetus Workload Migration Solution, StreamAnalytix and OLAP on Big Data solution

In this video from the DataWorks Summit / Hadoop Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Larry Pearson, VP Marketing of Impetus Technologies, Vineet Tyagi, CTO of Impetus Technologies, and Ajay Anand, VP Products of Kyvos Insights.

AI Suggests Recipes Based on Food Photos

There are few things social media users love more than flooding their feeds with photos of food. Yet we seldom use these images for much more than a quick scroll on our cellphones. Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) believe that analyzing photos like these could help us learn recipes and better understand people’s eating habits.

CASK Data Application Platform Moves Forward

In this video from the DataWorks Summit 2017 conference in San Jose (June 13-15, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Nitin Motgi, Founder/CTO at CASK Data.

Hitachi Solutions Powers Big Data with R

In this video from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with David Bishop, SVP – Head of R&D, Hitachi Solutions America.

How R Powers Data Science at Microsoft

In this video “How R Powers Data Science at Microsoft” from the EARL 2017 conference in San Francisco (June 5-7, 2017), insideBIGDATA’s Managing Editor and resident data scientist Daniel D. Gutierrez chats with Vijay K. Narayanan – Director, Algorithms and Data Science Solutions, Microsoft.

Building a Machine Learning Platform at Quora

In this MLconf SF 2016 talk “Building a Machine Learning Platform at Quora,” Nikhil Garg, Engineering Manager at Quora, discusses the core ideas behind his company’s machine learning platform, as well as some of the specific systems, tools, and abstractions that have enabled the company to scale their approach to machine learning.