In part two of our podcast episode on Blockchain, Soma Shekar (Software Architect, IBM Analytics) discusses the enterprise application of blockchain in Master Data Management - going beyond blockchain application in cryptocurrency.
Blockchain — it’s one of the hottest topics in the tech industry, but what exactly is it? Yves Mulkers (Founder of 7wData) and Erik O’Neill (IBM Entity Analytics, Sr. Offering Manager) discuss the history of blockchain and what is means for businesses wanting to get ahead in the world of data.
This week, Dez Blanchfield, Strategist and Data Science Practitioner at Gara Guru, and Bob Hayes, Data Scientist and President of Business Over Broadway, debate the role of Clickers versus Coders in the Data Science industry. Is one role more critical than the other? What skills are required to be
On the second episode of Data Decoded, Seth Dobrin, VP & CDO of IBM Analytics discusses his role as a Chief Data Officer at IBM and the latest IBM Analytics announcements from Think 2018, from IBM Cloud Private for Data to launch of the Data Science Elite Team.
Moving data often impacts system performance, so how do you move large volumes of data safely and securely? The importance of data movement is even more critical when you consider moving data from ground to Cloud. Joe Bostian, z Systems Data Science Architect, IBM Analytics, and Mythili
How is data science changing with the availability of high-performance data platforms? Vikram Murali, director of IBM Integrated Analytics Systems and Db2 Event Store development, Jay Wentworth, STSM of appliance architecture, and Thomas Chu, director of offering management and hybrid data, join Al
In this special podcast, our Making Data Simple Podcast host Al Martin is joined by Caleb Curry, data guru for IBM Hybrid Cloud, and Sam Lightstone, IBM fellow of analytics, to talk about their session at the IBM Think 2018 Conference: "Next-Generation Data Management: Power and Simplicity to the
From machine learning to blockchain to artificial intelligence, data is dominating the conversation in the tech industry. In the first episode of Data Decoded, William McKnight, CEO of McKnight Consulting, and Yves Mulkers, founder of 7wData and a data/business intelligence architect, discuss the
In this week's episode of Making Data Simple, Al Martin and Adam Storm, IBM senior technical staff member and master inventor, next-generation HTAP architect, sit down to talk about fast data. Adam also covers the pros and cons of different information architectures and the software you can use to
How does artificial intelligence (AI) come into play on a day-to-day basis? In this episode of Making Data Simple, Jean-François Puget, distinguished engineer, machine learning and optimization, and Steve Moore, senior story strategist for Inside Machine Learning on Medium, join host Al Martin to
In this episode of the Making Data Simple Podcast, Seth Dobrin, vice president and chief data officer for IBM Analytics, and Al Martin continue their conversation about data in 2018. Find out the six steps to make your enterprise data driven, how machine learning and AI will impact your business
Michael Springgay, IBM STSM, Db2 Data Warehouse Development, and Rajani Maindiratta, IBM Senior Manager, Db2 Data Warehouse on Cloud Development for Load, share their experiences moving data for customers big and small. What are the options for data movement and what is the impact of cloud?
How do you choose and learn a new coding language? In this episode of Making Data Simple, we are joined by YouTuber and IBM Social Strategist, Caleb Curry. With over 5M view of his tutorials on YouTube, Caleb has learned a thing or two about how to teach and learn to program successfully. Discover
What is driving change in the world of data? In his keynote from the Big Data Summit KC 2017, our Making Data Simple podcast host and IBM Analytics VP Al Martin addresses disruption, the data maturity model and the five areas business must get right to succeed in the era of cognitive computing.
Experts share their on-the-ground impressions of the IBM Chief Data Officer Summit, the perception of the CDO role amongst audience participants, and discuss how data science and the chief data officer role interact.