Making Data Simple

Making Data Simple
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Dec 5, 2018 • 39min

A.I. and the questions you didn't think to ask - Making Data Simple [Season 2 - Episode 40]

Send us a textIn 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 notes00:00 - 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. Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
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Oct 9, 2018 • 34min

Making Data Simple: Little Miss Data builds a data democracy

Send us a textMaking Data Simple host Al Martin has a chance to discuss all thing data with Laura Ellis, also known as Little Miss Data. Laura is an analytics architect for IBM Cloud as well as a frequent blogger. Together, they talk about how critical it is to understand your data in order create specific calls to action, and what it means to build a data democracy.Show Notes00:00 - Follow @IBMAnalyticsSupport on Twitter.00:22 - Check out our YouTube channel. We're posting full episodes weekly.00:24 - Connect with Al Martin on LinkedIn and Twitter.01:20 - Check out littlemissdata.com.01:22 - Connect with Laura Ellis on Twitter, Instagram, and LinkedIn.02:20 - Curious to know more about analytics architecture? Check out this IBM article on the topic.03:52 - Check out the Little Miss Data article Al referenced here.04:45 - Learn more about Data Democracy here in Laura's blog post.05:31 - Understand more about the importance of data for your business in this article.09:11 - Find out more about the challenges of being a data scientist here.12:45 - Working with good quality data is crucial. Check out this article for more details.16:12 - Simple data can provide the most effective returns. Learn more here.21:15 - Choosing the right, supportive environment for your data science journey will make sure you don't get burnt out. This article examines your options.21:35 - Data is a fundamental step when working with AI. But do you know the difference between data analytics, AI and machine learning? This Forbes article walks you through it.22:42 - Need to brush up on what a data dashboard is? Learn more here.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
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Sep 26, 2018 • 27min

Making Data Simple: Inside Machine Learning

Send us a textOn this week's Making Data Simple Podcast, we are joined by Steve Moore, IBM senior content designer and story strategist, along with Aishwarya Srinivasan, IBM data scientist and deep learning researcher. Aishwarya discusses what it means to be a unicorn in an industry and why it is useful to pair textbook learning from schooling with hands-on industry experience. Aishwarya, Steve, and Al explore how to use reinforcement learning to make better data decisions.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.
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Sep 19, 2018 • 53min

Making Data Simple: Start-ups with Simon Lightstone

Send us a textInterested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.Want to be featured as a guest on Making Data Simple? Reach out to us at almartintalksdata@gmail.com and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

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