Making Data Simple host Al Martin looks back on his top 5 favorite 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
Martec's law states, “Technology changes exponentially; organizations change logarithmically.” Translation? Technology will accelerate faster than companies can adapt to increasing data growth and adopt new business models.
Happy holidays from the Making Data Simple team! Enjoy a rebroadcast of a conversation with Seth Dobrin, Vice President and Chief Data Officer for IBM Analytics, as he and Al explore the strategies and people your company needs to disrupt and succeed in the year ahead. Do you or your team members
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
Most businesses, independent of their business model, are concerned with compliance and profit. The business must comply with the law, regulations and conduct guidelines, and to be sustainable, the business must remain profitable.
On the latest episode of Data Decoded, we make our predictions for 2019: top data trends, challenges and what chief data officers (CDOs) will need to do to keep up with the ever-changing data landscape. Hear from Michele Goetz, principal analyst at Forrester Research and Jay Limburn, IBM
On this episode of the Making Data Simple podcast, Al Martin sits down with Jean Bozman, vice president at Hurwitz & Associates, and Dan Kirsch, managing director at Hurwitz & Associates. Together, they discuss data optimization, compliance, governance, and security in industries including
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-