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Jonas Christensen

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Activities & events

Title & Speakers Event
Event Making Data Simple 2020-12-30
[Replay} Two Secrets to Business Success with Rob Thomas (Part 1/2) - Making Data Simple [Season 3 - Episode 10] 2020-12-30 · 11:00
Rob Thomas – guest , Al Martin – WW VP Technical Sales @ IBM

Send us a text Rob Thomas, leader of IBM’s Data and AI division, talks with host Al Martin about the need to de-mystify AI. In particular, Rob recommends a "fail fast" approach to data science: run wide-ranging but short-term experiments — and expect disappointment on the way to insight. This episode offers a host of such suggestions, plus thoughtful leadership advice and tips for motivation. Part 1 of 2.

Show Notes 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 Rob Thomas on LinkedIn and Twitter. 04:01 - Discover what big data and A.I. have in store.  06:22 - Learn more about IBM's Think conference here. 06:48 - Read more on Watson anywhere here. 10:24 - There is no A.I. without I.A. 23:21 - Check out Al's talk at Think 2019 with Jeff Jonas here. 23:51 - Check out this interview with Rob Thomas at Think 2019 here. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] 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.

AI/ML Big Data Data Science IBM
Two Secrets to Business Success with Rob Thomas (Part 1/2) - Making Data Simple [Season 3 - Episode 10] 2019-03-13 · 14:00
Rob Thomas – guest , Al Martin – WW VP Technical Sales @ IBM

Send us a text Rob Thomas, leader of IBM’s Data and AI division, talks with host Al Martin about the need to de-mystify AI. In particular, Rob recommends a "fail fast" approach to data science: run wide-ranging but short-term experiments — and expect disappointment on the way to insight. This episode offers a host of such suggestions, plus thoughtful leadership advice and tips for motivation. Part 1 of 2.

Show Notes 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 Rob Thomas on LinkedIn and Twitter. 04:01 - Discover what big data and A.I. have in store.  06:22 - Learn more about IBM's Think conference here. 06:48 - Read more on Watson anywhere here. 10:24 - There is no A.I. without I.A. 23:21 - Check out Al's talk at Think 2019 with Jeff Jonas here. 23:51 - Check out this interview with Rob Thomas at Think 2019 here. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] 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.

AI/ML Big Data Data Science IBM
A.I. and the questions you didn't think to ask - Making Data Simple [Season 2 - Episode 40] 2018-12-05 · 05:00
Jeff Jonas – CEO, founder and chief scientist @ Senzing Inc. , Al Martin – WW VP Technical Sales @ IBM

Send us a text 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.   Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] 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.

AI/ML Big Data IBM Cyber Security
Beautiful Data 2009-07-21
Jeff Hammerbacher – author , Toby Segaran – author

In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video. With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include: Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran

data data-engineering
O'Reilly Data Engineering Books
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