Making Data Simple

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Ritika Gunnar. Ritika is currently VP, Data and AI Expert Labs Services and Learning and has worked with IBM in various roles within development, support and technical sales. She started her career developing and supporting systems management warehousing and reporting solutions. She worked in various development projects across IBMs brands to create appliances and solutions for clients cloud and virtualization needs. Ritika also managed Tivoli’s world-wide technical sales teams driving solution selling within the portfolio and increasing overall revenue and client satisfaction for the brand.  Show Notes 2:41 – Ritika discusses her background 6:07 – Ritika’s current role 9:09 – Successes of Data and AI 15:21 - Important things to company’s around AI 21:39 – What do you see as great principals of a service business  25:56 – Ritika’s proudest moment at IBM 29:20 – How much time do you spend working with clients? Ritika Gunnar – LinkedIn and Twitter    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Debbie Berebichez she is the first Mexican woman to graduate from Stanford University with a PhD in Physics, and she uses her education and background to make science approachable to a wide range of audiences. Debbie co-hosts numerous TV shows, where she uses her knowledge of physics to explain the science behind extraordinary engineering feats. Deborah is the Chief Data Scientist at Metis where she leads the creation and growth of exceptional data science training opportunities. Deborah completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences where she carried out research in the area of acoustic waves. She invented a highly effective technique in the field of wireless communications whereby a cell phone user can communicate with a desired target user in a location far away.  Show Notes 2:10 – Debbie’s mission statement 8:58 – Mentorship 11:25 - Debbie talks about Discovery TV shows 15:04 – Debbie discusses her Ted Talk 19:20 - Data literacy discussion 30:35 – Physicist to data science  33:22 – Training and data scientist  38:43 - What makes the perfect data science implementation in a company? 41:53 – Debbie’s advice for young girls Debbie Berebichez - Instagram Debbie Berebichez - Twitter Debbie Berebichez - LinkedIn Debbie Berebichez - Facebook Statistic and the art of deception  Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Ayal Steinberg, Global Sales VP, Data and AI at IBM. Ayal Steinberg is the Vice President of Global Sales for IBM's Data and AI business unit.  In his capacity Ayal oversees IBM's largest and one of the most strategic business units with over 1,500 people and several billion dollars of annual revenue.  Ayal has proven success in managing complex and global sales organizations. Throughout his career, Ayal has created and led high-performing sales teams focused on selling complex software solutions to some of the world’s most well-known brands in more then 50 countries. Prior to IBM, Ayal successfully led sales teams through transformation and hyper growth at IBM Netezza, Oracle, Datastax (the open source provider of Apache Cassandra), and other enterprise software companies.  Earlier in his career, Ayal was a pioneer in selling software for several start-ups in price optimization and advanced analytics. Ayal majored in Economics from Binghamton University, State University of New York. Show Notes 4:00 – Ayal’s back ground 15:33 – IBM strategy  18:45 – Moving to cloud 21:23 – Why IBM 23:24 - Value Selling 27:58 – Value vs. price 29:57 - Skills set 31:20 – How do you bring someone back around Solution Selling Challenger Sale Strengths Finder 2.0 Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.   

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Nick Caldwell. Nick is the Chief Product Officer at Looker now Google, with careers at Reddit as VP of Engineering, and various positions at Microsoft. Nick holds a degree in computer science and electrical engineering from MIT and an MBA from UC Berkeley. He’s a native of P.G. County, Maryland but is happy to call San Francisco home. Show Notes 6:07 - Nick’s background 9:10 – Nick discusses leadership 16:45 - Building trust with product team 18:55 – Great leaders 21:05 – Water fall 24:25 – Discussion on data 25:38 – Nick explains Looker Nick Caldwell - Twitter Nick Caldwell - Medium Nick Caldwell - LinkedIn ColorCode  https://www.youtube.com/watch?v=n8WwwWLdgTQ https://www.youtube.com/watch?v=lfxW4hC9a0U Blue Flame Devcolor.org Nick Caldwell  Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.   

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing".  Show Notes 2:39 – Hadley talks about his journey  5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice" 8:00 – Tidy data concept 9:02 - How Hadley became interested in big data and R 10:12 – Python and R 12:30 – What Hadley is doing now 13:47 – Top 3 packages that help data scientists  17:47 – Hadley discusses his book  22:48 – Writing a book vs. code 29:40 – What language is going to take over 31:01 – What’s next for data 31:54 – What’s cool for Hadley 36:26 – Hadley’s Role model Hadley Wickham’s books Ggplot2 R for Data Science Advanced R R Packages Hadley Wickham’s Blog Hadley Wickham’s LinkedIn Hadley Wickham’s Twitter  RStudio Blog Connect with the Team Producer Kate Brown - 

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Ross Mauri General Manager, IBM Z & LinuxONE IBM Systems. Ross has expertise in strategy, technology, engineering, marketing, and sales. This week we discuss his career at IBM, the people and CEOs of IBM, Mainframes, Databases, Cloud, and Datastores, the myth of Z, and IBM's Z15.  Show Notes 3:43 - Ross Mauri's career 8:22 – People of IBM and CEOs 12:11 – Working with CEOs 14:34 – Ross talks legacy  17:20 – What does the mainframe do that no one else can? 18:28 – Z myth 21:22 – LinuxONE 24:29 – RedHat 25:15 – What does Z not do well? 26:00 – Z15 Ross Mauri - LinkedIn Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.   

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Jim Ruston Managing Director of Armeta Analytics. Al and Jim discuss monetizing data, prescriptive and descriptive approaches, and sealing the deal. Show Notes 4:45 - How do you monetize data 6:20 - Common actions 8:50 - Prescriptive approach 11:15 – Gap in data warehouse 13:05 – Cleanup  17:40 – Overhead costs 19:22 - Prescriptive and descriptive approach 20:56 – Preferred technology 23:07 - Who are the decision makers   24:56 – Sealing the deal 27:10 – Why do I need Armeta Armeta  Armeta Linkedin Guaranteed Analytics  The Challenger Sale Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Peter Wang Co Founder and CEO of Anaconda and Shadi Copty VP of Offering Manager. Al, Peter, and Shadi discuss Data Science and IBMs partnership with Anaconda. Show Notes 6:11 - Corporate Mission 8:00 - Use Case 9:20 - IBM and Anaconda partnership 14:04 - Cloud Pak for Data what is it? 15:43 – Python vs R 17:15 – Anaconda’s Future 23:25 – Shadi takes over from Al 25:05 – Data Science Community 33:40 – Centre of Humane Technology   Anaconda - https://www.linkedin.com/company/anacondainc/ Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Andy Youniss President and CEO of Rocket Software, co-founded in 1990 with products across the Ladder to AI, Hybrid Cloud and businesses in Technology partnerships. This week we discuss Covid and its personal and professional affects on business.   Show Notes 3:00 - Rockets core values  7:17 – Life and times  10:25 – Portfolio 11:26 - Vision  15:07 - Legacy tagline 20:26 - Rockets responds to Covid 27:17 – Secure file transfer business 28:53 – Where did the name Rocket come from? 30:05 – What does leadership mean to you? IBM Assistance - https://www.ibm.com/watson/covid-response Rocket Software - https://www.rocketsoftware.com/ Linkedin - https://www.linkedin.com/company/rocket-software Twitter - https://twitter.com/rocket Facebook - https://www.facebook.com/RocketSoftwareInc Brene Brown - https://brenebrown.com/ Arvind Krishna - https://www.linkedin.com/in/arvindkrishna/ Spillover – https://www.amazon.com/Spillover-Animal-Infections-Human-Pandemic/dp/0393066800#reader_0393066800 Bruce Springsteen - https://www.goodreads.com/book/show/29072594-born-to-run Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.   

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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms.  Show Notes 4:04 – Bio Rhythmic Using Ants  8:04 – Knapsack Problem vs Algorithms 9:02 – Mother and Father DNA 10:29 – Silver Bullet 12:42 – Real World Examples Algorithms 17:20 – Genetic Algorithms 28:30 – Rishal’s Best Podcasts ·       Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/ ·       Hidden Brian - https://www.npr.org/series/423302056/hidden-brain ·       Masters of Scale - https://mastersofscale.com/ ·       Tim Irvine Blog Wait But Why - https://waitbutwhy.com/ Connect with Rishal Hurbans Rishal Hurbans - https://rhurbans.com/ Grokking AI Algorithms - https://www.manning.com/ Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. 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. Abstract This week on Making Data Simple, we have Simon Lightstone Co Managing Partner at Levion Partners. Al and Simon discuss the strategy of acquiring companies using AI, search funds, and the special sauce. Show Notes 3:25: The Beginning 5:23: Still Looking 6:55: Search Fund 7:29: Two Stages 11:28: Creating a Search Fund 15:13: Top Three 16:18: Special Sauce 16:55: The Process of the Secret Sauce 20:10: Advice on First AI Project Grilled cheese blog - https://www.lifehack.org/349275/why-grilled-cheese-lovers-are-better-life https://www.levionpartners.com/ Connect with the Team Producer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

 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. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM , Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Priya Srinivasan Director, IBM Data and AI Expert Labs SWAT. In this week’s podcast we talk about Data (world’s new oil), AI (world’s refinery), Cloud (the pipeline), Unified Governance and Data Ops, Security, Analytics and Services. Show Notes 4:50 Expert labs and what it means 5:52 Al talks how SWAT was for him 6:10 Priya discusses SWAT now 7:18 Priya gives examples of SWAT 9:04 Deliverables from Expert Labs 13:37 Al talks about Services 17:30 Priya talks about solving long term problems 20:04 Priya discusses GROW (Guidance, Resources, and Outreach for Women) 21:25 Al asks Priya what excites her Linkedin - https://www.linkedin.com/in/sripriya-srinivasan-385a0812/ Twitter - https://twitter.com/Priyavikram2 GROW - https://w3-connections.ibm.com/wikis/home?lang=en-us#!/wiki/W7e7074647e13_420c_9abf_875dd706e4b4/page/Welcome%20to%20GROW%20in%20Hybrid%20Cloud%20-%20Guidance,%20Resources,%20Outreach%20for%20Women%20in%20Hybrid%20Cloud Connect with the Team Producer Kate Brown - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. 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. Abstract This week on Making Data Simple, we have Deborah Leff, Global Leader and Industry CTO, Data Science and AI Elite Team. Deborah is an Industry specialist for consumer and travel. In this week’s podcast we talk about demystifying AI and supporting customers around the world with Data Science and AI solutions. Show Notes 1:10 Deborah explains the mission. 2:46 Deborah talks about transformational technology 14:36 American Airline reference on YouTube link - https://www.youtube.com/watch?v=t1PgNr8VMLc  13:24 Deborah Medium paper reference "AI Demands a New Perspective" - https://medium.com/@deborah.leff 22:39 Deborah Instagram account - https://www.instagram.com/ deborah.leff 23:50 and 26:04 Deborah LinkedIn page - https://www.linkedin.com/in/deborahleff/ Connect with the Team Producer Kate Brown - LinkedIn. Producer Michael Sestak - LinkedIn Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. 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.  Abstract This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel. Show Notes 1. https://www.ibm.com/blogs/watson-health/author/kyurhee/ 2. https://www.ibm.com/impact/covid-19/ Connect with the Team Producer Kate Brown - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter. Additional resources: IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19 IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watson How governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/ (edited) 

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.  Abstract This week on Making Data Simple, we have a returning guest and former producer. Kate Nichols, Content Design Manager at IBM, walks us through the importance of content design and product usability. She discusses different workflow techniques and measures that allow teams to gauge effectiveness. Listen in to discover why content design is critical to product experience and ultimately, success.  Connect with Kate LinkedIn Twitter Show Notes 02:15 - Listen to our episode with Rob Thomas here.  02:26 - Listen to the intern episode here. 09:37 - Check out this article on Solving problems with good content design. 18:11 - Take a look at this article on The importance of design in tech & business.  26:00 - Here's an article on confessions of a content designer.  Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Producer Kate Brown - LinkedIn. Producer Allison Proctor - LinkedIn. Producer Mark Simmonds - LinkedIn.  Producer Michael Sestak - LinkedIn. Host Al Martin - LinkedIn and Twitter.