Making Data Simple show

Making Data Simple

Summary: Hosted by Al Martin, WW VP Account Technology Leaders at IBM. Making Data Simple provides the latest thinking on leadership, big data, A.I., and the implications for the enterprise from a range of experts.

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Podcasts:

 Making Data Simple: Tanmay Bakshi Podcast | File Type: audio/mpeg | Duration: Unknown

Gain a fresh perspective on data and AI in the healthcare industry from Tanmay Bakshi. Recorded live at the IBM Toronto Lab in Canada, Bakshi and host Al Martin discuss the impact of data in healthcare, including mental health for youth and helping people communicate through the use of brain sensors, machine learning, and deep data analysis. Find out what’s next for Bakshi (spoiler: there is no limit to what this 14-year-old data genius will do with ML and AI).

 Making Data Simple: Data in the Retail Industry - Part Two | File Type: audio/mpeg | Duration: Unknown

In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pitre, Analytics Client Architect IBM Cloud, and Renee Livsey, Director, Technical Sales, IBM Cloud, to learn about emerging technology trends in the industry and how retail may be ahead in the data game.

 Making Data Simple: Data in the Retail Industry - Part Two | File Type: audio/mpeg | Duration: Unknown

In part two of our discussion about data in the retail industry, we continue to explore how the massive disruption in retail industry over the past several years. Data, machine learning and AI are set to change the industry yet again. Join Patrick Pitre, Analytics Client Architect IBM Cloud, and Renee Livsey, Director, Technical Sales, IBM Cloud, to learn about emerging technology trends in the industry and how retail may be ahead in the data game.

 Making Data Simple: Data in the Retail Industry - Part One | File Type: audio/mpeg | Duration: Unknown

The retail industry has experienced massive disruption over the past several years. Buyer behavior has radically changed with the continued expansion of online shopping. Now, data, machine learning and AI are set to change the industry yet again. Listen to the first in a two-part episode with Patrick Pitre, Analytics Client Architect IBM Cloud, and Renee Livsey, Director, Technical Sales, IBM Cloud, discussing emerging technology trends in the industry and how retail may be ahead in the data game.

 Making Data Simple: Data in the Retail Industry - Part One | File Type: audio/mpeg | Duration: Unknown

The retail industry has experienced massive disruption over the past several years. Buyer behavior has radically changed with the continued expansion of online shopping. Now, data, machine learning and AI are set to change the industry yet again. Listen to the first in a two-part episode with Patrick Pitre, Analytics Client Architect IBM Cloud, and Renee Livsey, Director, Technical Sales, IBM Cloud, discussing emerging technology trends in the industry and how retail may be ahead in the data game.

 Making Data Simple: What is Data Gravity? | File Type: audio/mpeg | Duration: Unknown

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 Venkatakrishnan, Distinguished Engineer, IBM Z Analytics Technology Lead, IBM Systems, join the Making Data Simple team to discuss how to move data, run analytics, and maintain performance.

 Making Data Simple: What is Data Gravity? | File Type: audio/mpeg | Duration: Unknown

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 Venkatakrishnan, Distinguished Engineer, IBM Z Analytics Technology Lead, IBM Systems, join the Making Data Simple team to discuss how to move data, run analytics, and maintain performance.

 Making Data Simple: Faster data science | File Type: audio/mpeg | Duration: Unknown

http://www.ibm.com/us-en/marketplace/integrated-analytics-systemHow 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 Martin this week to talk about developments in data science and data platforms to accelerate your business decisions.

 Making Data Simple: Faster data science | File Type: audio/mpeg | Duration: Unknown

http://www.ibm.com/us-en/marketplace/integrated-analytics-systemHow 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 Martin this week to talk about developments in data science and data platforms to accelerate your business decisions.

 Making Data Simple: Think 2018 preview | File Type: audio/mpeg | Duration: Unknown

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 Developer."

 Making Data Simple: Think 2018 preview | File Type: audio/mpeg | Duration: Unknown

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 Developer."

 Data Decoded: 2018 data trends with William McKnight and Yves Mulkers | File Type: audio/mpeg | Duration: Unknown

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 hot data trends of 2018: the hype behind each, which trends will realistically impact businesses, and how organizations can adapt these trends to build a trusted analytics foundation.

 Data Decoded: 2018 data trends with William McKnight and Yves Mulkers | File Type: audio/mpeg | Duration: Unknown

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 hot data trends of 2018: the hype behind each, which trends will realistically impact businesses, and how organizations can adapt these trends to build a trusted analytics foundation.

 Making Data Simple: Fast data with superhero Adam Storm | File Type: audio/mpeg | Duration: Unknown

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 help you optimize your data.

 Making Data Simple: Fast data with superhero Adam Storm | File Type: audio/mpeg | Duration: Unknown

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 help you optimize your data.

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