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Send us a textWant 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. AbstractHosted 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 Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce. Show Notes2:56 – How do we get people to adopt AI?4:49 – Carlo’s book6:15 – Why do we call it agile AI?11:12 – Six weeks to get it done!15:07 – Where are we at with AI?16:54 - Problems with AI today22:05 – Secret sauce26:31 - Process and methodology 30:22 – Talk data34:19 – Integration, trust, and quick deployment36:10 – Working remote39:40 – H

Send us a textWant 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. AbstractHosted 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 Scott Taylor. Scott is the Data Whisperer, a thought leader, consultant on the strategic value of data management, Principal Consultant of MetaMeta Consulting and he practices data evangelism as a service. Scott discusses helping people understand the value and strategic importance of simple data. Show Notes1:25 – Scott’s back ground4:30 – Does Scott talk to data?5:20 – How long has Scott been in data?6:50 - Data Management13:12 - Data Story telling17:05 – Structured data25:08 - Core manifesto 25:48 – Bad data ideasConnect with Scott TaylorScott Taylor - LinkedInScott Taylor - TwitterScott Taylor – The Data

Send us a textAdam 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 -

Send us a textWant 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. AbstractHosted 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 Notes2:41 –

Send us a textWant 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. AbstractHosted 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

Send us a textWant 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. AbstractHosted 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 successfull

Send us a textWant 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. AbstractHosted 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 Notes6:07 - Nick’s background9:10 – Nick discusses leadership16:45 - Building trust with product team18:55 – Great leaders21:05 – Water fall24:25 – Discussion on data25:38 – Nick explains LookerNick Caldwell - TwitterNick Caldwell - MediumNick Caldwell - LinkedInColorCode h

Send us a textWant 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. AbstractHosted 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 Notes2:39 – Hadley talks about his journey 5:22 – Hadley talks about his American Statistical Association for "

Send us a textWant 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. AbstractHosted 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 Notes3:43 - Ross Mauri's career8:22 – People of IBM and CEOs12:11 – Working with CEOs14:34 – Ross talks legacy 17:20 – What does the mainframe do that no one else can?18:28 – Z myth21:22 – LinuxONE24:29 – RedHat25:15 – What does Z not do well?26:00 – Z15Ross Mauri - LinkedInConnect with the TeamProducer Kate Brown

Send us a textWant 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. AbstractHosted 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 Notes4:45 - How do you monetize data6:20 - Common actions8:50 - Prescriptive approach11:15 – Gap in data warehouse13:05 – Cleanup 17:40 – Overhead costs19:22 - Prescriptive and descriptive approach20:56 – Preferred technology23:07 - Who are the decision makers  24:56 – Sealing the deal27:10 – Why do I need ArmetaArmeta Armeta LinkedinGuaranteed Analytics The Challenger SaleConnect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - Linke

Send us a textWant 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. AbstractHosted 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 Notes6:11 - Corporate Mission8:00 - Use Case9:20 - IBM and Anaconda partnership14:04 - Cloud Pak for Data what is it?15:43 – Python vs R17:15 – Anaconda’s Future23:25 – Shadi takes over from Al25:05 – Data Science Community33:40 – Centre of Humane Technology  Anaconda - https://www.linkedin.com/company/anacondainc/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer

Send us a textWant 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. AbstractHosted 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 Notes3:00 - Rockets core values 7:17 – Life and times 10:25 – Portfolio11:26 - Vision 15:07 - Legacy tagline20:26 - Rockets responds to Covid27:17 – Secure file transfer business28:53 – Where did the name Rocket come from?30:05 – What does leadership mean to you?IBM Assistance - https://www.ibm.com/watson/covid-responseRocket Software - https://www.rocketsoftw

Send us a textWant 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. AbstractHosted 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 Notes4:04 – Bio Rhythmic Using Ants 8:04 – Knapsack Problem vs Algorithms9:02 – Mother and Father DNA10:29 – Silver Bullet12:42 – Real World Examples Algorithms17:20 – Genetic Algorithms28:30 – 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

Send us a textHosted 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. AbstractThis 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 Notes3:25: The Beginning5:23: Still Looking6:55: Search Fund7:29: Two Stages11:28: Creating a Search Fund15:13: Top Three16:18: Special Sauce16:55: The Process of the Secret Sauce20:10: Advice on First AI ProjectGrilled cheese blog - https://www.lifehack.org/349275/why-grilled-cheese-lovers-are-better-lifehttps://www.levionpartners.com/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn.Producer Michael Sestak -

Send us a text 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. AbstractHosted 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 Notes4:50 Expert labs and what it means5:52 Al talks how SWAT was for him6:10 Priya discusses SWAT now7:18 Priya gives examples of SWAT 9:04 Deliverables from Expert Labs13:37 Al talks about Services17:30 Priya talks about solving long term problems20:04 Priya discusses GROW (Guidance, Resources, and Outreach for Women)21:25 Al asks Priya what excites herLinkedin - https://w

Send us a textHosted 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. AbstractThis 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 Notes1:10 Deborah explains the mission.2:46 Deborah talks about transformational technology14:36 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.leff22:39 Deborah Instagram account - https://www.i

Send us a textHosted 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. AbstractThis 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 Notes1. https://www.ibm.com/blogs/watson-health/author/kyurhee/2. https://www.ibm.com/impact/covid-19/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn.Producer Meighann Helene - LinkedIn.Host Al Martin - LinkedIn and Twitter.Additional resources:IBM Watson Health COVID

Send us a textWant 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. AbstractThis 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 KateLinkedInTwitterShow Notes02:15 - 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 TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meigh

Send us a textWant 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. AbstractOn this week of Making Data Simple, we are joined by Christine Livingston, Managing Director and Chief Scientist at Perficient. Christine talks us through her approach to AI within the consulting and enterprise industries, along with how she and her team have been managing workloads during COVID-19. Tune in to hear more. Connect with ChristineLinkedInPerficientShow Notes09:41 - Check out Watson Assistant here.10:06 - Learn more about natural language processing here.25:30 - Here are 5 reasons why you should choose to DIY.   Connect with the TeamProducer 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.Want to be featured as a guest on Mak

Send us a textWant 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. AbstractThis week on Making Data Simple, we are joined by Wennie Allen, Director of Data Science Elite Business, and Brittany Boggle, Senior Data Scientist at IBM. Together, they provide an update on the new initiatives the DSE team are embarking on during the COVID-19 pandemic. This includes employing data optimization and AI decision-making procedures to assist ICU facilities and estimate ventilator demand. Tune-in to find out more. Connect with WennieLinkedInTwitterConnect with BrittanyLinkedInTwitterShow Notes05:52 - Click here to learn why you should consider taking up a new hobby while physical distancing. 17:52 - Discover more about the Data Science Elite team here.33:49 - Get up to speed with agile methodology here.39:02 - Check out the Data and AI portfolio here. Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Prod