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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 Milan Shetti. Milan is the President of Rocket Software and the Z Business Unit. Milan joined Rocket about a year ago and came from HP where he ran the storage business section. Before that Milan ran a startup and was also at Sun Micro Systems.

Show Notes 4:16 – What was in that conversation? 7:26 – What were you responsible for at HP? 10:24 – What position did you start in at Rocket? 12:46 – What is your mission objective at this time? 15:05 – Are you seeing growth in Z? 18:40 – What does modernization mean in Z? 22:14 – What does Rocket do that no else does? 25:50 – Are you using AI and ML in your new role? 31:14 – What is your vision as president moving forward?  The Alchemist Paulo Coelho

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 Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM.

Show Notes 1:37 – Nancy’s bio 3:10 - Are we talking Money Ball? 5:52 - On Base percentage 7:08 – Analyse examples  10:02 – Do you control the data? 11:24 – Out there statistics 14:12 - Can analytics go to far? 17:35 – Real time analysis 18:45 – Covid and sports 21:15 – Your role in sports betting 22:50 – What’s the most fascinating thing you’ve learned? 25:23 – What’s the future?

Website - Stats Perform Money Ball Stats Perform - Twitter  Bill James – Baseball Abstract  The Analyst     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 Orr Danon CEO at Hailo Technologies. Hailo has developed a breakthrough deep learning microprocessor based on a novel architecture which enables edge devices to run sophisticated deep learning applications that could previously run only on the cloud. Orr has a decade of software and engineering experience from the Israel Defense Forces’ elite intelligence unit. Orr coordinated many of the unit’s largest and most complex interdisciplinary projects, ultimately earning the Israel Defense Award granted by Israel’s president, and the Creative Thinking Award, bestowed by the head of Israel’s military intelligence. Orr holds an M.Sc in Electrical and Electronics Engineering from Tel Aviv University and a B.Sc in Physics from the Hebrew University in Jerusalem. Show Notes 4:28 – Is Edge a hardware solution? 11:45 – Where do you think the fastest growth in the Edge is going to be? 14:01 – What makes your AI chip different? 17:10 – Anything else in your secret sauce that makes you different? 18:28 – If I am a customer what do I do for proof of technology? And do your chips work together at the Edge? 21:35 – What about security? 22:50 – Tell us about the data? 26:40 – Where will you be in 5 years? Hailo website    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 Wendy Cornell. Wendy joined IBM as an IBM Researcher, after spending 20 years as a researcher and leader in the pharmaceutical industry. Currently Wendy is an IBM Research Strategy Lead for Drug Discovery, and Research Life Science Liaison to Watson Health and is credentialed as an IBM Q Ambassador for quantum computing. Show Notes 5:16 – What goes into computational biology? 8:03 – What was the attraction to IBM? 9:57 – What do you do on a daily basis? 12:58 – IBM’s 5 and 5 17:10 – Are we doing work around side effects of different drugs? 25:47 – Can technology bring down the approval time? 31:30 – What are the positives that will come out of the past 14 months? 36:58 – STEM 38:25 – What excites you the most about the future?  IBM’s 5 and 5

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 Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah.

Show Notes 1:50 - Where does pricing go bad? 10:00 – What pricing models work the best? 17:00 – How does goto market play into pricing? 18:53 – Personalized marketing  21:33 – If someone got a better price 22:29 – Good customer vs bad customer  Cactus Raazi - LinkedIn Cactus Raazi’s book Price

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 Cactus Raazi is the founder and former CEO of Elefant Inc., now a part of Exos Financial, which focused on building smarter marketplaces through AI-powered pricing. Cactus led Elefant Inc. to success working with a brilliant team of engineers and marketplace experts focused on improving the pricing, transparency, and efficiency of the bond market. In more than thirty years in sales, Cactus has developed an acute sense of how price affects the commercial transaction (and how we get it wrong). He has a graduate degree in business analytics from NYU, and lives with his family in Salt Lake City, Utah.

Show Notes 5:45 – How do you make the connection and go start to Price? 9:20 – What should I be doing differently 16:25 – Topic of price 17:38  - How do you define price? 19:53 – How are prices set today? 26:27 – How do you track customers? 27:39 – Personalized pricing Cactus Raazi - LinkedIn Cactus Raazi’s book Price

Connect with the Team Producer Kate Mayne- 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 Michel Tricot. Michel is the Co-Founder of Airbyte an open source ELT standard for replicating data for applications, API and databases. Michel has been working in data engineering for 15 years, head of integration and engineering at LiveRamp, he has been involved with data ingestion and data connectors. Airbyte has raised over 5 million in seed money.  

Show Notes 3:30 – Why start a company in 2020? 5:23 – Is this company centered around ETL? 9:56 – Why is ELT more attractive than ETL? 15:09 – Give us your definition of data engineering and talk about Airbyte 20:19 – What’s the business plan around open source? 23:49 – Walk us through a use case 29:17 – Moving data can be difficult  31:09 – What makes Airbyte different? 33:31 – What is the biggest lesson you’ve learned? Slack GitHub Airbyte

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 Ahmed Elsamadisi. Ahmed started his career at Cornell’s Autonomous Systems Laboratory focusing on human-robot interaction and Bayesian data fusion as well as building algorithms for autonomous cars. He then joined Raytheon to develop tactical AI algorithms for missile defense, four of which are still in use today by the US Military. Eventually he moved on to Raytheon’s Advanced Technology division to focus on building human exoskeletons--like the Iron Man suit but made of rubber because it’s way more energy efficient and not a fictional concept ignoring proper scientific practices-- and algorithms for adaptive decision making. In 2015 Ahmed joined We Work, and over the next two years Ahmed built We Work’s standard data infrastructure and grew its data team from one to forty Data Engineers and Data Analysts. After implementing a single time series table data model at We Work and seeing the immediate results, Ahmed wanted to figure out a way to bring this new found knowledge to the world. Ahmed founded Narrator to allow startups to leverage this new approach, ask questions, understand customer behavior, and analyze data across all their systems from a simple Universal Data Model.  Show Notes 3:26 – Tell us about algorithms for autonomous cars 6:26 – Anything you can say around missile defense? 8:58 – Tell us about human exoskeletons 13:18 – What kind of data were you using to make decisions around the Iron Man suit? 16:02 – What did you learn at We Work? 25:00 – How we answer a question in the world of Narrator 32:24 – Does Narrator sit between the application and the database? 33:28 – Walk us through a Use Case Website: Narrator AI.com Books:  The Power of Bad Never Split The Difference Ahmed Elsamadisi - 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, 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 Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing.

Al and Dr. Lee try and help us understand Quantum Computing as a new technology.   

Show Notes 3:03 - Dr. Lee talks about her day to day job 4:40 – The challenge  6:12 - Dr. Lee describes quantum  8:03 – What is quantum computing going to do for us that we can’t do today? 9:30 – How does this work? 17:50 – What kind of problem is quantum computing suited to answer? 19:40 – Will quantum computing replace traditional computing? 23:36 – Who can use quantum computing? 32:30 – Security and quantum 33:50 – Dr. Lee’s team Dr. Kayla Lee - LinkedIn Ten More Universities Join The IBM-HBCU Quantum Center IBM Quantum Computing  Qiskit HBCU Center Driving Diversity and Inclusion in Quantum Computing IBM’s Roadmap For Scaling Quantum Technology

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 Robin Hernandez, Robin is the VP of Offering Management Cloud Data for Watson AI Ops. Robin started out in software development, and then worked in Technical Sales, IBM Cloud Garage, and then Product Management.

Show Notes 3:46 – What is AI Ops? 6:31 – What is the ROI? 12:00 – What does it take to setup AI? 17:48 – How does this really work? 21:34 – I am in Services what do I get? 26:06 – What king of grantees does AI offer? 28:12 – Who is monitoring AI? IBM AI Ops    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.

Interested in learning what it takes to operate a start-up? On this episode of Making Data Simple, host Al Martin sits down with Simon Lightstone, IBM offering manager, to discuss what it took to get his startup off the ground. Simon offers tips to those facing a similar experience and describes how the decision to pursue a dream ultimately affected his career.

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 Ana Echeverri. Ana leads Expert Labs Learning, experience in sales, client success, owned her own business. Has a computer engineering degree from Columbia, formerly worked at Informix, and has been in the technology industry for about 30 years, also worked at Microsoft Citrix, and then started her own business focused on Education.

Show Notes 8:25 – Are there different industry facts driving learning? 11:58 – How do you find the time to learn? 17:24 – What the best way to get education? 20:06 - Do we learn differently? 22:49 – We want expert’s what are you going to do? 28:40 – What is IBM doing around learning? 33:08 – Biggest misconception in learning? Adam Grant Power of Learning Conversational Intelligence  Cooking Blog (Recetas de Merci)

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 Rob Thomas. Rob is Senior VP of IBM Cloud and Data Platform, a Coach and has a Mentor newsletter, an author, and a Blogger. Rob has been at IBM his whole career, started in consulting moved to microelectronics then moved to software in 2006.

Show Notes 3:26 – What are your learning's from 2020? 7:42 – What’s your vision and objectives for Cloud and Data platform?  11:44 – Discuss the rules of your organization 14:08 - What’s your view on hybrid cloud? 18:30 – What does IBM Cloud and data platform do that nobody else can do? 21:51 – What should companies be looking at to build their competitiveness? 28:18 – What was your reason for writing about “Just Show Up”? The Mentor Newsletter It Takes What It Takes    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 Jeff Richardson. Jeff has a history of database data, information management, and he is now the Chief Information Officer at Accelerated Enrollment Solutions. Jeff was also at Bentley Systems for 17 ½ years as Chief Data Officer.

Show Notes 5:41 – What does it mean to be a technology nerd? 6:53 – What technologies as a CDO or CIO are you addressing on a regular bases? 13:04 – How are you going to tackle the culture and the politics? 17:25 – Is it Cloud or Hybrid to drive the new data lake? 24:03 – What is your plan to get to desired state? 27:04 – Does AI have a role in your new position? 31:44 – Fighting the Infodemic what made you write this article?  Fighting the Infodemic Jeff’s podcast list Analytics on Fire Dissecting popular IT Nerds The Data Chief Data Crunch 

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 Yancey Strickler. Yancey is a writer and entrepreneur, founder of the Bento Society, Co-Founder of Kick Starter, a Distinguished Fellow at the Drucker Institute, Author of This Could Be Our Future: A Manifesto for a More, Generous World and The Idea Space, Co-Founded the Artist Resource The Creative Independent, the Record label eMusic Selects, and Angel Investor.

Show Notes 3:43 - Yancey’s Brand 8:39 - How in Kick Started did you define success? 13:06 – Creating the Bento Society 21:00 – Reframing values into the new world 23:48 – Tips and tricks 27:48 – Data as fire 30:48 – What the next 5 – 10 years going to look like

This Could Be Our Future: A Manifesto for a More, Generous World YStrickler.com Bentoism.org The ideaspace    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 Suj Perepa and Richard Darden. Suj is a distinguished engineer and specializes AI, machine learning technology in the financial sector.  Suj also has been a lead for security programs and a member of the IBM Academy of Technology leadership team. Richard is a distinguished engineer in digital human evangelism for North America government and a distinguished engineer at IBM in Cloud and Cognitive for the public sector and a former chief architect on federal government agencies.  

Show Notes 6:30 – What is a data framework? 9:16 – What is framework? 11:00 – Governance and people 14:15 – Process and architecture 19:15 – Bringing it all into a playbook   22:56 – Who is the client? 24:36 – How does bias play into it? 27:02 – What products are you using? 27:54 – Explainability 30:44 – Ethics of AI 37:13 Suj and Richard’s most important lessons in AI The Discipline of Technology    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 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 Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003. Show Notes 3:40 – Any advice on soft skills and hard skills? 8:35 – Telltale signs such as stress 10:40 – Settings goals  Connect with the Team Producer Kate Brown - LinkedIn Producer Steve Templeton - LinkedIn Host Al Martin - LinkedIn and Twitter

Books Thinking Fast and Slow  Financial Intelligence  Other notable names Brene Brown Judith Glaser Marshall Goodsmith Daniel Goleman

Lynne’s List of Recommended Leadership Books Leadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian TracyWant 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, 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 Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach. Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen R Covey Senior and Stephen MR Covey Junior. Lynne started her own company in 2003.

Show Notes 9:08 - Soft skills vs hard skills 14:18 - What would you call soft skills? 17:05 - Skills and culture 19:03 – Can you change culture? 22:15 – Behavioral styles 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 In part 2 of this two-part series, host Al Martin welcomes back Rob Thomas, GM of IBM Data and AI. The conversation ranges across the latest trends in enterprise analytics, how to tell the truth from the hype, and Rob’s own strategies for staying current, connected, and engaged in this fast-changing space.


Show Notes

00:00 - Missed part 1? Catch up with the conversation here.

00:05 - 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.  00:52 - Connect with Rob Thomas on LinkedIn and Twitter. 01:02 - Check out Rob's article on Watson Anywhere here.  02:03 - There is now proof that quantum computing can now boost machine learning! Read more here. 05:17 - Your team needs a compass, not a map. 10:00 - Warren Buffet and Mark Cuban agree, reading is like compound interest. 14:24 - Check out Wooden on Leadership here. 14:35 - Check out Mindset 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 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 Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry.

Show Notes 2:00 – What questions do government and health care have? 8:10 – How different are government and health care? 12:40 - ROI within government and health care. [email protected] Claude Yusti - LinkenIn  http://www.businessofgovernment.org/bio/claude-yusti 

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 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 Claude Yusti. Claude is a Partner in IBM Global Business Services and is responsible for leading the Watson AI and Data Platform Practice for Public Sector. His primary clients are in Health and Human Services. He has over 30 years of experience in the Government and Healthcare industries and has worked with a number of industry.

Show Notes 6:19 – Working with government 9: 58 - On what context are you defining AI? 11:04 – How do you see the protection of data? 18:05 – Use cases 25:01 – Skills, security, data set control and how the government differs from private sector?  Claude Yusti - LinkenIn  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 Kush Varshney who is a Distinguished Research Staff Member and Manager of IBM Research and leads the Machine Learning group in the Foundations Trustworthy AI and the Co-Founder of IBM Science for Social Good. Kush has a history in Electrical Computer Engineering and a PHD at MIT.    Show Notes 1:32 – Kush’s history 6:36 – Is there such a thing as trust worthy AI? 14:46 – Are we going to let AI make decisions? 19:57 – Have you worked on any government projects?  21:41 – Government datasets governance  24:13 – Steps to invest in trust and fairness 25:54 – What is Science for Social Good 27:25 – Where will AI be in 3 years? 30:02 – White noise for the nose IBM for Social Good Trusting AI  Factfulness Trust Worthy Machine Learning (coming next year)     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.