Making Data Simple

On this episode, host Al Martin chats with Philip Reiner, who is executive director at the firm Technology for Global Security. In this episode Philip shares his experience in government, policy, and security. Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher Show notes:  00:00 - Check out Making Data Simple 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. 00:40 - Connect with Philip Reiner on LinkedIn. 04:15 - What is Encryption? 24:27 - What is Cyber Security? 28:43 - What is Radiological Material and Nuclear Weapon? 31:31 - The Fourth Leg Podcast.

In the latest episode of: "Stories from the Field", Host Wennie Allen, IBM Data and AI, sits down with Elenita Elinon, leader of the Quantitative Research Analytics at JP Morgan Chase, recognized and awarded as one of the top 40 Women Leaders in Data and AI for her work with risk and fraud. Elenita shares her experiences, challenges, and lessons learned. Explore more about the IBM Women Leaders in AI initiative. Learn more about JPMC and their work with the IBM Data and AI Elite Team.

 This week host Al Martin invites Shadi Copty, who is the Executive Director for AI Tools & Runtimes at IBM. In this episode he talks about automation, tools and multiple IBM AI technologies. Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher Show notes:  00:00 - Check out "Making Data Simple" 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. 00:40 - Connect with Shadi Copty on LinkedIn. 04:20 What is Data Science? 08:00 What is Watson Studio? 21:45 What is OpenScale?

What is driving change in the world of data?

 This week's guest is Jorge Castanon, a Sr. Data Scientist for Watson Studio at IBM. Host Al Martin and Jorge discuss some typical data problems currently plaguing the industry, and how Watson Studio makes dealing with those problems that much easier. Get ready for an in-depth, technical conversation with two industry experts. Show Note 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.  00:41 - Connect with Jorge Castanon on LinkedIn and Twitter 05:42 - Check out the machine learning hub here. 09:53 - Unsure what customer churn is? Find out in this article. 20:00 - AI is not magic. Read an article discussion the topic here. 24:34 - Learn about SPSS Modeler here. 35:46 - Check out coursera here.

Augmented reality will change the way we experience data. But, what will this new reality look and feel like, and how can we take advantage of it to make better decisions? Tune in to this episode of Making Data Simple to learn about augmented reality data visualization from Ben Resnick and Alfredo Ruiz, members of the IBM Immersive Insights team.    Shownotes 00.10 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00.25 Connect with Benjamin Resnick on LinkedIn (linkedin.com/in/benjamin-resnick-7b602b7b), view his online profile (http://benjaminresnick.com/), see his medium account (https://medium.com/@benjaminresnick) or email him at resnick@us.ibm.com 00.45 Connect with Alfredo Ruiz on Twitter (@alfredoruizc), LinkedIn (linkedin.com/in/alfredoruizc), view his profile (http://www.aruizdesign.com/), see his medium account (https://medium.com/@alfredo.ruiz/) or email him at alfredo.ruiz@us.ibm.com 01.40 Learn more about the Blue Unicorn Initiative at http://www.blueunicorn.nl/ 02.30 Connect with Rob Thomas on Twitter (@robdthomas) and LinkedIn (linkedin.com/in/robertdthomas) and read more of his work on his blog https://www.robdthomas.com/ 02.40 Connect with Jay Griffin in LinkedIn (https://www.linkedin.com/in/james-griffin-43094711) 02.45 Watch Elon Musks video at http://www.businessinsider.com/elon-musk-first-principles-2015-1 03.50 See Visualizing High Dimensional Data in Augmented Reality at http://bit.ly/2xkdZpS 04.20 See image of Daenerys looking at the map of Westeros at http://bit.ly/2yLdY1k 21.20 See Benjamin and Alfredo's award nominations here:Information is Beautiful Award https://www.informationisbeautifulawards.com/showcase/2189-ibm-immersive-insights  Driven by Design:https://drivenxdesign.com/next17/project.asp?id=16128 22.10 Find The Fourth Transformation by Robert Scoble at http://amzn.to/2iV2JtR 22.30 Find Ready Player One by Ernest Cline at http://amzn.to/2xlgjwO 23.00 Find Made in America by Sam Walton at http://amzn.to/2gzl5A2

This week, host Al Martin welcomes Rakesh Ranjan, the director of emerging technologies at IBM Data and AI. He also works on next gen-solutions at IBM and is involved with academia and research. Join us for a look at what's next in data and AI.    Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher   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. 00:40 - Connect with Rakesh Ranjan on LinkedIn and Twitter. 09:30 - What is Db2 Augmented Data Explorer? 18:55 - What is ICP for Data? 30:00 - What is IBM Academic Initiative?

How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple. Learn how you can use growth hacking strategies to build your business and why growth hacking isn't just for startups. Show Notes 00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00:36 Connect with Nancy Hensley on Twitter (@nancykoppdw) and LinkedIn (linkedin.com/in/nancyhensley) 03:30 Explore The Growth Hacker: The next VP of Marketing by Andrew Chen here: http://bit.ly/104Xa0r  03:55 Read Hacking Growth by Sean Ellis & Morgan Brown here: http://growthhacker.com/ 04:55 Visit the Jagermeister website for more information on their company and product: https://www.jagermeister.com/en-CA (must be legal age) 22:15 Find Hooked: How to Build Habit-Forming Products by Nir Eyal here: http://amzn.to/2geOTlp 31:50 Find Rework by Jason Fried here: http://amzn.to/2xIU08B

Welcome to a new Making Data Simple series, Stories from the Field with Wennie Allen, IBM Data and AI. This series will focus on practical use cases of big data and A.I., enabling shared experiences and perspectives.  You can expect these field highlights every fourth episode of Making Data Simple. In this episode, Wennie talks to Brittany Bogle about her perspective as a professional data scientist. Informed by her experiences helping business clients adopt AI, Brittany shares real-life problems organizations face when implementing an AI and machine learning (ML) solution. Listen for some delightful surprises and insights in dealing with big data and real-time requirements in fraud detection, prediction and prevention. Discover why AI/ML success is a team sport. Finally, are you looking to build or expand your data science team? Consider some criteria and guidelines that will improve your team’s effectiveness.

In this episode of Making Data Simple we hear insights from IBM Machine Learning Hub data scientists Jorge A. Castañón and Óscar Lara-Yejas as they discuss what machine learning is and is not. They also answer the most controversial question today: Will machines take our jobs? Listen to find out! Show Notes 00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 02:10 Connect with Jorge A. Castañón on Twitter (@castanan) and LinkedIn (linkedin.com/in/jorgecasta) 02:45 Connect with Óscar Lara-Yejas on LinkedIn (linkedin.com/in/óscar-lara-yejas-36700058) 10:10 Tweet to Ginni Rometty @GinniRometty and read more about her here: https://www.ibm.com/ibm/ginni/ 11:00 Listen to "Machine Learning" by Business Daily here: http://www.bbc.co.uk/programmes/p050db63 16:45 Watch Neo Yokio on Netflix https://www.netflix.com/browse 31:50 Find Michael Lewis "The Undoing Project: A Friendship That Changed Our Minds" here: http://amzn.to/2yr5Dgv 35:55 Find "The Greatest Show on Earth" by Richard Dawkins here: http://amzn.to/2wi4pmT 36:25 Find Ian Goodfellow's "Deep Learning" here: http://amzn.to/2hwZWKr

This week host Al Martin welcomes Greg Bonnette, who is Vice President of Data & Analytics Strategy at Ironside. He comes on the show to discuss more in depth about his role engaging with clients, striving to find appropriate business solutions to their data problems. Discover typical industry issues and hear how Greg overcomes, in this week's episode. Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher  Show Notes 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. 00:40 - Connect with Greg on LinkedIn and Twitter. 04:25 – What is Ironside? 21:27 - Learn about Watson Machine Learning and A.I. Modelling. 41:39 - Learn about Daniel Kahneman and his book, Thinking Fast or Slow.

How do you provide answers to clients prior to them asking? What do you do with an abundance of client data? In this episode of Making Data Simple, Tracy Bolot, Director of Digital Client Support for Analytics at IBM, talks about how to maximize teamwork and strengths to enrich your clients' experience. Show Notes 00:15 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 00:30 Connect with Tracy Bolot on LinkedIn(linkedin.com/in/tracy-bolot-992a6b4a) 01:30 Link to Global Elite? 04:00 Lean more about the Informix Software 13:40 Check out Turbotax 27:20 Click here to learn more about information sharing and governance at IBM 

This week on Making Data Simple, Dinesh Nirmal comes on the show to discuss current industry trends. Host Al Martin poses questions that are both technical and leadership oriented. Together, they discuss the new, emerging technologies that drives them while providing their own definitions of team building and success. Listen, engage, react. Give us your feedback and get in on the conversation. Show Notes Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher 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.  01:37 - Connect with Dinesh Nirmal on LinkedIn and Twitter. 06:06 - An interesting read on the state of illegal dumping in rural California 11:14 - Some examples of successful AI uses cases. 14:31 - Learn about blockchain here. 29:06 - Find out how open source is helping remove data silos in the enterprise. 32:40 - Check out IBM's content on big data analytics.

In an ever-changing and growing age of data and technology, how can you turn data into better decisions for your company? How do you keep up? Is there a recipe for greatness? In this podcast, Rob Thomas, General Manager of Analytics at IBM, discusses data, tech companies and his two books, Big Data Revolution and The End of Tech Companies.  "A crisis has arrived whether you know it or not." What are you doing to prepare? Show Notes 00:30 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku) 01:00  Connect with Rob Thomas on Twitter (@robdthomas) and LinkedIn (linkedin.com/in/robertdthomas) and read more of his work on his blog https://www.robdthomas.com/ 02:30 Big Data Revolution By Rob Thomas & Patrick McSharry, The End of Tech Companies by Rob Thomas 04:35 Find Rob Thomas' first blog post here: https://www.robdthomas.com/robdthomas//2013/02/patterns-in-big-data.html 05:30 Connect with Dr. Patrick E McSharry on LinkedIn linkedin.com/in/mcsharry, his personal website mcsharry.net or Twitter @patrickmcsharry 06:20 http://www.costar.com/ 14:10 Connect with Warren Buffett on Twitter (@WarrenBuffett) 14:40 Connect with Clayton Christensen on Twitter (@claychristensen) and LinkedIn (linkedin.com/in/claytonchristensen) 24:50 Learn More about DomusKids on their website http://domuskids.org/ and connect with them on Twitter @DomusKids 26:15 Above the Line: Lessons in Leadership and Life from a Championship Season by Urban Meyer & Wayne Coffey 26:30 Chasing Excellence: A Story About Building the World's Fittest Athletes by Ben Bergeron

Guy Taylor, Head of Data & Data Driven Intelligence at Nedbank, comes on the show to discuss the state of the industry, machine learning practices, and why you should add a South African safari to your bucket list! Suit up for an incredibly engaging conversation. Show Notes Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher 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.  00:58 - Connect with Guy Taylor on LinkedIn. 01:00 - Connect with Nedbank on Twitter. 01:49 - What is data driven intelligence? Click here to learn more. 03:03 - South Africa has 11 official languages! Click the link to learn more. 04:30 - Here are the 20 most beautiful places in South Africa. 10:35 - "Culture eats strategy for breakfast". Check out a related Forbes article here. 14:23 - Check out calnewport.com. 21:39 - Here's an article explaining further details bias in machine learning.