Making Data Simple

Host Al Martin looks back on his top 5 favourite clips from episodes published in 2018. These conversations range from explaining the importance of data visualization, to discussing the differences between A.I. and deep learning. Thanks to all of our listeners for an incredible 2018, and prepare yourself for Season 3 of the Making Data Simple podcast! Show Notes 00:00 - Check us out on YouTube and SoundCloud!  00:10 - Connect with producer Liam Seston on LinkedIn and Twitter...

Seth Dobrin is back to kick off season 3 and reflect on data and tech in 2018. Seth Dobrin, vice president and Chief Data Officer of IBM Analytics, gives insight to leading the data science elite team, and he details the steps and strategies required to be successful in the field. Host Al Martin and Seth also make some data science predictions for 2019, letting you know what you should be looking out for in the year ahead. Shownotes:  00:00 - Check us out on YouTube and SoundCloud...

Host Al Martin, IBM VP of Hybrid Data Management & Client Success, and Sam Lightstone, CTO for Data, IBM Fellow & Master Inventor, present their Kansas City Techweek keynote. They go over what it means to make data ready for AI, become data driven and acquire growth. They deliver key industry insights to drive performance in a way that is easily understandable, avoiding the jargon. Be sure to follow along with presentation slides attached below...

Adam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup...

 Michael Willette, assistant vice president and technical fellow at USAA, comes on Making Data Simple to discuss database methods in the finance industry. Michael has an extensive, technical background as an architect and senior programmer. He shares his journey, current view on the market, emerging technologies, and more. Listen to gain some key industry insight...

Jayson Gehri directs the marketing team for Hybrid Data Management at IBM, following roles as marketing director for Dell and Quest Software. In this special episode, he lets us know what to watch for as IBM kicks off its annual THINK Conference, happening this year in the heart of downtown San Francisco from February 12th to the 15th...

Tony Ayaz, CEO and cofounder of Gemini Data, joins us on "Making Data Simple" to discuss industry challenges involving data, and his commitment to supporting start-ups. Host Al  Martin and Tony manage to put what would be considered a high-level, technical topic into simple terms that anyone could follow along to. Listen in to get a fresh perspective on the world of data and entrepreneurship.  -------------------------- Show notes   00:00 - Check us out on YouTube and SoundCloud...

This week on Making Data Simple, we invite on Patrick Campbell, CEO and Co-Founder of Profitwell. Prior to ProfitWell, Patrick lead Strategic Initiatives for Boston based Gemvara and was an Economist at Google and the US Intelligence community. Host, Al Martin dives deeper into Patrick's background and uncovers the reasoning behind his choice to pursue entrepreneurship...

Matthias Funke and Thomas Chu lead the team shaping IBM's strategy for hybrid data management. They join host Al Martin for a deep dive into trends around data management across cloud environments — from private, to public, to multicloud. Matthias and Thomas each started as software developers in the trenches of data and analytics, and they bring that knowledge of fundamentals to their work with large organizations  in the grip of rapid change...

This week, host Al Martin goes deep with Madhu Kochar and Hemanth Manda, two leaders of product development from the IBM Data and AI team. They discuss the future foundations of digital business -- in particular, the coming age of multicloud and how organizations will contend with data and workloads on cloud systems that span geographies, vendors, and diverse rules for governance...