Jason Tatge, CEO, president and cofounder of Farmobile, joins the show to discuss data in the agriculture industry. The conversation touches on Jason's experience launching a startup, tips for finding success, and the value of big data from a farmer's perspective. This episode gives insight to data
Host Al Martin, IBM VP of hybrid data management and client success discusses new technology innovations within the automotive industry. Ben Amamba, Chief Innovation Officer (CINO) for Industrial Sector, Watson & Cloud Platform, and David Kevnick, IBM cloud technical sales leader - US
In episode 37 of the Making Data Simple podcast, Al Martin has a detailed conversation with Avijit Chatterjee, Chief Analytics Officer at IBM Morgan Stanley and Metlife. Together, the two discuss various use cases of AI transforming business processes along with tips for networking and time-
On this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair
Every business is a data business. But not every business uses their data to solve business problems and compete more effectively. Nancy Hensley, Chief Digital Officer in IBM Analytics, joins us on this week’s podcast to discuss digital transformation and how you can use data and analytics to find
Where is AI headed? How should you be thinking about AI? What should you be doing with AI? To answer these questions, we recently convened a round table of tech influencers to discuss some of the most burning issues arising from AI — starting with why we should think of it as “augmented
According to real estate data firm Co-Star, over 90 million square feet of retail space is slated to close this year, leading observers to point to an obvious truth: empathy matters in customer service.
Spreadsheets remain one of the most popular tools for business professionals today. Unfortunately, while they can be great for personal productivity, they’re ill-suited for large-scale planning, budgeting and forecasting.