Send us a text Innovating on Wall Street: Kristen McGarry on Data, AI, and Technical Sales 🎧 Tune in for an insider’s look at the technical strategies shaping the future of finance. Kristen McGarry, Principal Account Technical Lead for IBM’s Financial Services Market, returns to Making Data Simple to dive deeper into the intersection of technology and Wall Street. Based in NYC, Kristen works with the world’s largest financial institutions to drive innovation, accelerate time to value, and implement cutting-edge solutions across software, hardware, and services. In this episode, we break down the realities of technical sales, the evolving role of data science in finance, and what Wall Street is getting right (or wrong) about AI. Kristen also shares key insights on the challenges of working with financial giants and predictions for the future of tech in banking. ⏱ Episode Highlights: 📍 02:57 – An Intro to Kristen McGarry 📍 04:36 – Why IBM? 📍 09:25 – The Attraction of Data Science 📍 11:51 – A Day in the Life of an Account Technical Leader 📍 13:30 – Technical Sales versus Sales 📍 15:05 – Continuing to Innovate 📍 19:09 – Dealing with Wall Street 📍 20:17 – The Methodology 📍 22:23 – The How of Technical Sales 📍 23:05 – Continuous Learning 📍 28:03 – Management System 📍 30:34 – Wall Street Learnings 📍 32:20 – Biggest Challenge 📍 33:08 – The Data Challenge 📍 34:22 – Best Data Science Use Cases in Finance 📍 36:14 – What Do Clients Miss on AI? 📍 38:09 – Predictions LinkedIn: https://www.linkedin.com/in/kristen-mcgarry/ Website: https://www.ibm.com/

MakingDataSimple #DataScience #AIinFinance #TechSales #WallStreet #IBM #Innovation #FinancialServices #Leadership #ContinuousLearning #AI

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.

Send us a text 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.

Synopsis What if hiring wasn’t about flipping through endless CVs but instead focused solely on skills? In this episode of Making Data Simple, we sit down with Tim Freestone, founder of Alooba, the groundbreaking platform revolutionizing how businesses hire for analytics, data science, and engineering roles. Tim shares how Alooba eliminates bias, speeds up hiring, and ensures candidates are evaluated based on what really matters—their capabilities. From his journey as an economics teacher to leading data teams, Tim’s insights are a must-hear for anyone tackling hiring challenges in today’s competitive job market. Learn how Alooba’s data-driven approach is transforming recruitment and why the future of hiring might just leave resumes in the dust. Show Notes 4:46 – How do you go from economics teacher to head of business intelligence?7:53 – Do CV’s matter anymore?13:22 – What business problem is Alooba solving?16:05 – Do you have any data that supports your theory?19:01 – Why analytics, data science, data engineering?20:26 - What do you do that others don’t?23:50 – How does Alooba define success?25:42 – Who’s your target client base?32:40 –Is there a customer you can talk about?36:24 – What does Alooba mean?Alooba  Connect with the Team Executive Producer Kate Mayne - LinkedIn. Host Al Martin - LinkedIn and Twitter.  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. 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.

Send us a text A Data Science level set in 2024.  This episode is a live recording that talks to  Distinguished Engineers at IBM from Client Engineering, Finance, and  Research with Rachel Reinitz, Suj Perepa, and "Beware of simple questions" Darrell Reimer, respectively.  Pardon just a bit of sound quality issues. 

00:16 The Field of Data Science00:50 Meet Rachel, Suj, and Darrell03:37 What is Data Science Today?07:00 Data Science Skills10:25 How has Data Science Changed12:07 A Day in the Life14:25 AI Engineers?23:45 Fake News and Cost30:36 What's Next?33:27 Too Much GenAI?36:49 Low Barrier Risks39:29 Deep Science vs Deep Business42:17 For Fun LinkedIn: linkedin.com/in/rreinitz, https://www.linkedin.com/in/sperepa/ linkedin.com/in/darrellreimer

Website: https://www.ibm.com/products/watsonx-ai/foundation-models

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. 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.

Send us a text Kristen McGarry is a Principal Account Technical Lead for the Financial Services Market at IBM. Based in New York City, she engages daily with the largest financial institutions globally to identify business opportunities for innovation, accelerate time to value, and operationalize new solutions across software, hardware and services offerings.  02:57 An Intro to Kristen McGarry  04:36 Why IBM?09:25 The Attraction of Data Science11:51 A Day in the Life of an Account Technical Leader13:30 Technical Sales versus Sales15:05 Continuing to Innovate19:09 Dealing with Wall Street20:17 The Methodology22:23 The How of Technical Sales23:05 Continuous Learning28:03 Management System 30:34 Wall Street Learnings32:20 Biggest Challenge33:08 The Data Challenge34:22 Best Data Science Use Cases in Finance 36:14 What Do Clients Miss on AI?38:09 PredictionsLinkedIn: https://www.linkedin.com/in/kristen-mcgarry/ Website: https://www.ibm.com/ 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.  and leadership ... while keeping it simple & fun.  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.

Send us a text 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.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Benn Stancil, Chief Analytics Officer + Founder @ Mode. Benn is an accomplished data analyst with deep expertise in collaborative Business Intelligence and Interactive Data Science. Benn is Co-founder, President, and Chief  Analytics Officer of Mode, an award-winning SaaS company that combines the best elements of Business Intelligence (ABI), Data Science (DS) and Machine Learning (ML) to empower data teams to answer impactful questions and collaborate on analysis across a range of business functions. Under Benn’s leadership, the Mode platform has evolved to enable data teams to explore, visualize, analyze and share data in a powerful end-to-end workflow. Prior to founding Mode, Benn served in senior Analytics positions at Microsoft and Yammer, and worked as a  researcher for the International Economics Program at the Carnegie Endowment for International Peace. Benn also served as an Undergraduate Research Fellow at Wake Forest University,  where he received his B.S. in Mathematics and Economics. Benn believes in fostering a shared sense of humility and gratitude.

Show Notes 1:22 – Benn’s history7:09 – Tell us how you got to where you are today9:14 – Tell us about Mode12:08 – What is your definition of the Chief Analytics Officer?21:53 – Why do we need another BI tool?24:09 – What’s your secret sauce?27:48 – Where did the name Mode come from?28:41 – How do we use Mode?31:08 – What is you goto market strategy? 32:38 – Any client references?34:58 – “The missing piece in the modern data stack” tell us about thisMode  Email: [email protected] [email protected] Twitter: benn stancil Connect with the Team Producer Kate Brown - LinkedIn. Host Al Martin - LinkedIn and Twitter.  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.

Send us a text Part 1 : David Collins, Chief Revenue Officer of Diwo, enters the building.  We go a bit deep to learn about Decision Intelligence this week.  Enjoy.   Show Notes 03:28 Meet David Collins.  Who is this dude? 07:46 Why Diwo? 09:53 Decision Intelligence is NOT Data Science 14:44 Skip the dashboard 17:23 The pursuit of data perfection? 19:24 Contextual intelligence 23:12 Where does Diwo start? 27:09 A use case example 29:05 Are historical data trends meaningless? Find David : https://www.linkedin.com/in/dacollin/ Website : https://diwo.ai/ 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.  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.

Send us a text 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.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Benn Stancil, Chief Analytics Officer + Founder @ Mode. Benn is an accomplished data analyst with deep expertise in collaborative Business Intelligence and Interactive Data Science. Benn is Co-founder, President, and Chief  Analytics Officer of Mode, an award-winning SaaS company that combines the best elements of Business Intelligence (ABI), Data Science (DS) and Machine Learning (ML) to empower data teams to answer impactful questions and collaborate on analysis across a range of business functions. Under Benn’s leadership, the Mode platform has evolved to enable data teams to explore, visualize, analyze and share data in a powerful end-to-end workflow. Prior to founding Mode, Benn served in senior Analytics positions at Microsoft and Yammer, and worked as a  researcher for the International Economics Program at the Carnegie Endowment for International Peace. Benn also served as an Undergraduate Research Fellow at Wake Forest University,  where he received his B.S. in Mathematics and Economics. Benn believes in fostering a shared sense of humility and gratitude.

Show Notes 1:22 – Benn’s history 7:09 – Tell us how you got to where you are today 9:14 – Tell us about Mode 12:08 – What is your definition of the Chief Analytics Officer? 21:53 – Why do we need another BI tool? 24:09 – What’s your secret sauce? 27:48 – Where did the name Mode come from? 28:41 – How do we use Mode? 31:08 – What is you goto market strategy?  32:38 – Any client references? 34:58 – “The missing piece in the modern data stack” tell us about this Mode  Email: [email protected] [email protected] Twitter: benn stancil 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 [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.

Send us a text 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.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 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 Notes 2:56 – How do we get people to adopt AI? 4:49 – Carlo’s book 6:15 – 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 today 22:05 – Secret sauce 26:31 - Process and methodology  30:22 – Talk data 34:19 – Integration, trust, and quick deployment 36:10 – Working remote 39:40 – How do you engage? Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book:   http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-Consultation Blogs:  Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo Appugliese Wennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese 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 [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.

Send us a text 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.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, 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 Tim Freestone. Tim is the founder of Alooba. Alloba is a skills assessment platform for analytics, data science and data engineering. They help businesses identify the best candidates that apply for a role within its company. Show Notes 4:46 – How do you go from economics teacher to head of business intelligence? 7:53 – Do CV’s matter anymore? 13:22 – What business problem is Alooba solving? 16:05 – Do you have any data that supports your theory? 19:01 – Why analytics, data science, data engineering? 20:26 - What do you do that others don’t? 23:50 – How does Alooba define success? 25:42 – Who’s your target client base? 32:40 –Is there a customer you can talk about? 36:24 – What does Alooba mean? Alooba  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 [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.

Send us a text 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.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, 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 Lillian Pierson. Lillian is CEO of Data Mania and she supports data professionals to becoming world data leaders and entrepreneurs. Lillian started Data Mania in 2012, Lillian has had 1.2 million people take her courses or read her book. 

Show Notes 3:37 – How did you make your transition to Data Mania? 8:20 – What is your Brand now? 9:32 – If I contact Lillian @ Data Mania what will I walk away with? 14:01 – Is it methodology or career coach or is it both? 16:35 – Where did you get your experience to put people in these buckets? 19:08 – Do you provide one on one services? 22:48 – Is your team worldwide? 24:36 – What differentiates your book from another? 26:48 – Who is Data Mania targeting? 28:32 – Where do I start? Email -  [email protected] Data-mania Data Superhero Quiz Data Science For Dummies  Lillian Pierson - LinkedIn 

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 [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.

Send us a text 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.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, 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 Kristen Summers and John Thomas. Kristen is a Distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs. John is a Distinguished Engineer in Data and Expert Labs, John leads Services that helps clients establish the AI factory.

Show Notes 3:24 – What is the AI academy and how does it all fit together? 4:34 – AI Ladder and AI Maturity 8:32 – How does the AI Factory make it easier to accomplish the AI Ladder? 12:00 – Why does your team do it better? 17:03 – How do you know your data is ready? 21:22 – What is the most practical use case? 23:02 – What does it really mean to infuse AI? 25:15 – Definition of AI maturity curve 28:25 – How do you know it’s trustworthy? 29:14 – What the most important lesson you’ve learned with AI and what is AI not very good at? In the Dream House  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 [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.

Send us a text 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.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, 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 Kristen Summers who is a distinguished Engineer in Cloud and Cognitive Expert Labs. Kristen has worked in Artificial Intelligence and Data Science, PHD in Computer Science, and leads Data Science within our Expert Labs, 

Show Notes 2: 08 - More time needs to be spend on culture and talent management. 3:55 - What does data driven culture mean? 8:49 – What do you see driving fundamental culture? 11:14 - What common tool do we have? 12:55 – What is communicate about data? 14:42 – How do you know you’re doing it well? 17:29 - How do you define AI talent? 23:18 - Describe a Data Scientist? 27:25 - Common Organizational Structures  31:49 - How do you manage and grow AI talent? IBM Skills Academy     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 [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.

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.

Send us a text 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.

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 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 Notes 2:56 – How do we get people to adopt AI? 4:49 – Carlo’s book 6:15 – 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 today 22:05 – Secret sauce 26:31 - Process and methodology  30:22 – Talk data 34:19 – Integration, trust, and quick deployment 36:10 – Working remote 39:40 – How do you engage? Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book:   http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-Consultation Blogs:  Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo Appugliese Wennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese    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 [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.

Send us a text 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.

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 [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.

Send us a text 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.

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 Hadl 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.

Send us a text 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.

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 [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.

Send us a text 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 [[email protected]] 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.

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.

Send us a text 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.  Abstract This 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 Wennie LinkedIn Twitter Connect with Brittany LinkedIn Twitter Show Notes 05:52 - 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 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. 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.

Send us a text 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. Abstract This week on Making Data Simple, our guest is Emmanuel Letouzé, PhD, Director and Co-Founder of Data-Pop Alliance. Emmanuel comes from an extensive academic background, specializing in subjects such as data science, political science, economics and demography. He speaks about key takeaways he's had from his research, applying the knowledge to new projects and issues, including the recent pandemic of COVID-19.  Connect with Emmanuel LinkedIn Datapopalliance.org Twitter Art Manu Cartoons Twitter Show Notes 03:37 - Get some answers to your questions on social distancing in this NYTimes article here. 16:19 - Learn more on demography here. 20:31 - AI can now make predictions on demography on only knowing your name. Find out more here. Connect with the Team Producer Liam Seston - LinkedIn. Producer Lana Cosic - LinkedIn. Producer Meighann Helene - LinkedIn.  Producer Mark Simmonds - LinkedIn.  Host Al Martin - LinkedIn and Twitter. 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.