Making Data Simple

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, 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 Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials. Show Notes 2:25 - Are you venture capital funded? 4:10 – How many of the solutions involve AI imaging? 10:08 – What technologies are behind Seekar? 14:26 – Where do you think AI is going? App- covid-ai Kordel K France – LinkedIn Kordel K France – Twitter Seekartech kordel@seekartech.com   Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, 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 Kordel France. Kordel is the CEO of Seekar technologies. Kordel is the founder and CEO of Seekar Technologies, a tech startup that builds AI products for a variety of industries. The applications of artificial intelligence are virtually limitless, but Kordel decided to start where it matters most: helping medical professionals save lives. Since founding Seekar, Kordell and his team have put 3 different medical AI products through 4 board-reviewed clinical trials. Show Notes 1:21 – Kordel introduces himself. 5:35 – How do you get into the medical field? 7:27 - How does a non-medical guy say “hay this is what I need to do”? 9:18 – Why is it free of charge? 13:25 – Who provides the 95% accuracy? 14:55 – What is your mission statement? 20:25 – How did you get into the app business? 24:00 – What project are you most proud of? 29:27 – Why lie detection? Tune in for part 2 next week  App- covid-ai Kordel K France – LinkedIn Kordel K France – Twitter Seekartech kordel@seekartech.com    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms. Show Notes 11:43 - What is the context and how did you get involved? 17:10 - How do you define success? 19:40 - Are you focused on IT language? 25:03 - How do you know you’re doing it right? 32:30 - What decision have already been made? 37:13 - What other challenges have you faced? 40:00 - How do you know when you’re done? 41:29 - How can people contribute? Dale Davis Jones - LinkedIn Hai-Nhu Tran - LinkedIn Blog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in Technology Call for Code for Racial Justice:  Linux Foundation Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, 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 -  lillian@data-mania.com 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] and tell us why you should be next. Abstract Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have 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 - LinkedInTen 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 [almartintalksdata@gmail.com] 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 [almartintalksdata@gmail.com] 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.