Featured Guest Speaker: Anil Kumar, Executive Director and Head of AI Industrialization at Verizon! As companies are looking to leverage cognitive technology, and deploying machine learning models, organizations need to make sure they have the correct people, processes, and technology in place to succeed. In this presentation, Anil will share what AI industrialization is and how Verizon is moving from pockets of AI/ML to AI/ML being implemente...

Featured Speaker: Colin Russel, Director of Data Science at the New York Times! The November Data for AI Event is hosting Colin Russel, Director of Data Science at the New York Times as our featured speaker and his session 'How the NY Times uses Machine Learning to create, curate, and optimize social media campaigns with Colin Russel, Dir. Data Science’! For large organizations such as the New York Times, creating and running various soc...

Featured Guest Speakers: Gregory Brown, Vice President of Strategy and R&D, Advanced Technology Group at UPS and Laura Patel, Advanced Analytics Manager at UPS! About Data for AI: The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation...

For large multinational organizations with thousands of products, locations across the globe, and tons of data, the use of cognitive technology can greatly increase efficiency. Stanley Black and Decker has 60,000+ products in its portfolio and sells products in 90+ countries. With a large portfolio of products, customers serviced through different business models drives the need for a robust approach to manage customers to drive commercial exc...

Microscopes are age-old technology which let us visualize and research phenomena too small to be perceived by the human eye. Macroscopes, by contrast, are systems designed to reveal spatial and temporal patterns which are so big or slow that they escape normal human perception. We can get some sense of these when we fly, or when we look at time-lapse imagery. But to really make progress requires both the ability to collect planetary-scale info...

This month's special featured guest is Rick McFarland, Chief Data Officer at LexisNexis! Star Trek’s technology seemed far-fetched in the 60s, especially the all-knowing “computer” that provided verbal answers to every one of Captain Kirk’s questions. Today, we have Siri and Alexa, but too often these “consumer grade” digital assistants can’t understand technical questions let alone deliver answers oth...