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:

 Data Collaboration and A.I. with Adam Weinstein - Making Data Simple [Season 3 - Episode 3] | File Type: audio/mpeg | Duration: 2482

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. ----------------------- Shownotes  00:00 - Check us out on YouTube and SoundCloud!    00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter    00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter.    00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn & Twitter.    00:55 - Connect with Adam Weinstein on LinkedIn. 03:55 - Find out more about Cursor. 06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein. 13:10 - Learn more about Big Data Analytics. 19:20 - What is Python/Jupyter Notebooks? 26:35 - Learn more about Data Fluency. 35:30 - What is a startup? 

 Kansas City Keynote - Making Data Simple [Season 3 - Episode 2] | File Type: audio/mpeg | Duration: 4690

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. ------------------- 00:00 - Download and follow along with the presentation slides here. 00:00 - Check us out on YouTube and SoundCloud. 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter.

 Data and Tech in 2018: A Year in Review with Seth Dobrin - Making Data Simple [Season 3 - Episode 1] | File Type: audio/mpeg | Duration: 2699

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.  00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.  00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.  00:20 - Connect with Producer Rachit Sharma on LinkedIn.  00:25 - Connect with Host Al Martin on LinkedIn and Twitter.  00:55 – Connect with Seth Dobrin on LinkedIn and Twitter.  02:00 – Seth Dobrin’s first podcast from January 2018.  03:30 - What is data science?  04:25 - Seth Dobrin’s Blog: Don’t let data science become a scam.  10:55 - IBM Data Science Elite Team: Kickstart, build andaccelerate   31:55 - What is AI? 37:58 - What are data pipelines?  41:55 - What is Blockchain?

 Clips from our Top 5 Podcasts of 2018 - Making Data Simple [Replay] | File Type: audio/mpeg | Duration: 1514

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.   00:15 - Connect with producer Steve Moore on LinkedIn and Twitter.  00:24 - Connect with host Al Martin on LinkedIn and Twitter.   00:55 - Listen to the full conversation with Lisa Seacat DeLuca here. 05:45 - Listen to the full conversation with John Thomas here. 09:59 - Listen to the full conversation with Jillian Lellis here.   13:39 - Listen to the full conversation with Adam Storm here. 18:36 - Listen to the full conversation with Jean Francois Puget here.

 What's Next in the World of Data & Analytics - Making Data Simple [Replay] | File Type: audio/mpeg | Duration: 1688

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 need new credentials to work in data? Seth also discusses what you need in your toolkit to be a data scientist at IBM. Show Notes 00.30 Connect with Al Martin on Twitter and LinkedIn. 01.00 Connect with Seth Dobrin on Twitter and LinkedIn. 01.40 Read "What IBM looks for in a Data Scientist" by Seth Dobrin and Jean-Francois Puget. 06.00 Learn more about GDPR.  13.00 Learn more about master data management. 13.05 Learn more about unified governance and integration.  13.25 Learn more about machine learning.  14.00 Connect and learn more about Ginni Rometty.  14.40 Learn more about cognitive computing. 19.35 Connect with Rob Thomas on Twitter and LinkedIn. 21.00 Connect with Jean-Francois Puget on Twitter and LinkedIn. Follow @IBMAnalytics

 The Future of Agriculture with Jason Tatge - Making Data Simple [Season 2 - Episode 42] | File Type: audio/mpeg | Duration: 2505

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 science for one of the oldest and most important sectors in our society.    Show Notes 00:00 - Check us out on YouTube and SoundCloud. 00:10 - Connect with producer Liam Seston on LinkedIn and Twitter. 00:15 - Connect with producer Steve Moore on LinkedIn and Twitter. 00:24 - Connect with host Al Martin on LinkedIn and Twitter. 01:20 - Connect with guest Jason Tatge on LinkedIn and Twitter. 04:24 - Get some insights to commodity trading. 10:09 - Check out Farmobile.com. 14:21 - Here are some more reasons why data collection in farming is so important. 22:21 - How data collection in farming is driving greater efficiency. 27:33 - Learn about pipeline entrepreneurs here. Follow @IBMAnalytics

 Big Data, Cloud, & Cognitive with Paul Zikopolous - Making Data Simple [Season 2- Episode 41] | File Type: audio/mpeg | Duration: 2757

Paul Zikopolous, VP of big data cognitive systems at IBM, joins us to discuss tactics for both career and personal growth. Paul is also an established author and public speaker, and leverages experiences gained through those pursuits in the advice he gives. Have a pen and paper ready as there is a lot to take away from this enlightening conversation. Show notes 00:00 - Check us out on YouTube. 00:00 - We are now on Soundcloud. 00:10 - Add producer Liam Seston on LinkedIn and Twitter.  00:15 - Add producer Steve Moore on LinkedIn and Twitter. 00:25 - Add host Al Martin on LinkedIn and Twitter.  01:43 - Connect with Paul Zikopolous on LinkedIn and Twitter.  07:02 - Get up to speed with Watson Studio. 10:16 - Develop a continuous learning lifestyle. 14:27 - How to figure out what you want out of a job. 20:55 - How to succeed with failure.  24:50 - "Get comfortable feeling uncomfortable."  30:54 - Here are some tips to make time for the gym. 38:28 - "Don't let other people define you." 

 A.I. and the questions you didn't think to ask - Making Data Simple [Season 2 - Episode 40] | File Type: audio/mpeg | Duration: 2334

In the latest episode of "Making Data Simple," host Al Martin invites Jeff Jonas, CEO, founder and chief scientist at Senzing Inc. to discuss use cases of AI and big data. The discussion ranges from Jeff's personal achievements, his miraculous quadriplegic recovery, his completion of every global Ironman triathlon race, and the birth of his company Senzing Inc. Suit up for what is truly an engaging conversation.  Show notes 00:00 - Checkout our YouTube channel.  00:10 - Connect with producer Liam Seston on LinkedIn and Twitter. 00:15 - Connect with producer Steve Moore on LinkedIn and Twitter. 00:24 - Connect with host Al Martin on LinkedIn and Twitter. 01:28 - Connect with guest Jeff Jonas on LinkedIn and Twitter. 02:08 - Not sure what the difference between a triathlon and an Ironman triathlon is? 02:28 - Here's how NORA and other security software applications are being employed in Las Vegas. 13:22 - Here's an interesting article about parent/child naming conventions. 16:26 - Check out Jeff's keynote at IBM Think 2018. 18:55 - Check out these 6 other brands with the "try then buy" sales method. 23:30 - Try out Senzing for yourself at senzing.com. 27:41 - Get an inside look at what it's like to live in a hotel, full-time. 31:49 - Need to brush up on Context Computing? Jeff Jonas explains it here. 33:12 - Check out these 10 Ironman triathlon facts.  

 Making Data Simple: Data in the automotive industry | File Type: audio/mpeg | Duration: Unknown

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 Industrial Market bring their expertise to the discussion. The conversation ranges from discussing the emergence of artificially intelligent vehicles, to marketing towards the millennial generation for a vehicle sale.

 Making Data Simple: Data in finance, insurance, and beyond | File Type: audio/mpeg | Duration: Unknown

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 the role of data in the finance and insurance industries, along with tips for networking and time-management.

 Data Decoded E8: Self-service analytics | File Type: audio/mpeg | Duration: Unknown

On the latest episode of Data Decoded, we talk about data governance and compliance in the age of self-service with Donald Farmer, Principal at TreeHive Strategy. You’ll hear about the shifting balance in power between business users and IT as well as the change in role of IT from the “gate keepers” of data to its “shopkeepers.”

 Making Data Simple: Designing for Analytics with Brian O'Neill | File Type: audio/mpeg | Duration: Unknown

This episode of Making Data Simple features Brian O’Neill, product designer for Designing for Analytics. Brian and host Al Martin step back from the deep, technical questions of data science, architecture and governance to look at how principles of design can clarify and accelerate development for analytics products -- whether the end user is internal or external. The conversation ranges from increasing engagement to user research to the need to focus on outcomes over output.

 Rebroadcast - Making Data Simple: The big data problem | File Type: audio/mpeg | Duration: Unknown

In this rebroadcast of the first episode of Making Data Simple, we welcome Daniel Hernandez, VP of IBM Analytics, who helps us navigate "the big data problem".

 Making Data Simple: Data Science and Canada Lab | File Type: audio/mpeg | Duration: Unknown

On this week's episode of Making Data Simple, we talk about the future of AI, machine learning, and Watson with Steven Astorino, VP of development, hybrid cloud, z Analytics and IBM Canada lab director.

 Making Data Simple: Using data for price optimization | File Type: audio/mpeg | Duration: Unknown

On this episode of the Making Data Simple podcast, we discuss price optimization with Dan Nickels, analytics client architect at IBM.

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