Ibm Analytics Insights Podcasts

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Trent Gray-Donald Distinguished Engineer, IBM Data and AI, Dakshi Agrawal IBM Fellow and CTO, IBM AI. Trent Gray-Donald spend his first 16 years on manage language runtime, then moved over to Data and AI, and then Cloud Pak for Data. Dakshi Agrawal joined IBM right after his Phd in IBM Research, then Dakshi moved into software development, and in the 6 years in AI. Show Notes5:24 – Why is IBM Watson important?10:28 – How does data fabric fit in?15:25 – How would you describe the customer journey around data fabric?17:10 – Is the ultimate destination AI?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Alex Watson. Alex was previously a GM at AWS and is currently a Co-Founder at Gretel.ai. Gretel is a privacy startup that enables developers, researchers, and scientists to quickly create safe versions of data for use in pre-production environments and machine learning workloads, which are shareable across teams and organizations. These tools address head-on the massive data privacy bottleneck--which has stifled innovation across multiple industries for years—by equipping builders everywhere with the ability to create quality datasets that scale.In short, synthetic data levels the playing field for everyone. This democratization of data wil

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, our guest is Joe Pavitt, master inventor and emerging technology specialist at IBM. Joe comes from a diverse background of playing various sports at a high-level, while pursuing studies in engineering and technology. Tune in to discover how Joe's role allows him to be at the intersection of these 2 seemingly opposed industries.Connect with JoeLinkedInShow Notes05:29 - Check out this article on the effects of alcohol on athletic performance. 07:00 - IBM has spent the last 25 years at the top spot for patents created.  12:29 - Watch this video to learn more about what Joe is doing with Leatherhead F.C.25:56 - Learn more about the Blender project and animation on their website.  Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twi

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.   Show Notes2:49 – Why is all data wrong?9:00 – How do you fix wrong data?23:17 – Where did you get your love for engineering?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Neil Gilbert Siegel. Neil has lead the creation of a large number of successful military intelligence and commercial systems, this includes the US Blue Force tracker, Neil, has had a number of advances in consumer electronics and health care, a number of patents. Neil also has a number of wards including the US National Academy of Engineering and a Fellow of the National Academy of Inventors. And finally an author of Engineering Project Management.    Show Notes2:20 – Tell us about IBM3:03 – How do you describe yourself?8:37 – Can you talk about the first US Army unmanned aerial vehicle?11:13 – Can you give us some examples of the smartphon

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Davor Bonaci co-founder and CEO of a Seattle-based startup Kaskada. Previously, Davor served as the chair of the Apache Beam PMC and software engineer in Google Cloud since its early days and the inception of Cloud Dataflow.Show Notes2:39 – Are you focused on the platform or the models around event based data?6:52 – Does your company provide knowhow or is it tooling?9:58 – What’s your secret sauce?11:19 – How did you end up here?15:40 – Who’s your biggest competitor? 17:13 – Can you talk to some of the common use cases?20:30 – Are you and IDE, how does it work?21:18 – Are you a subscription service?22:18 – What’s your 5 year plan?26:44 – Ho

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Gonzalez, Wendy is an executive that is passionate about building high-performing, high-functioning teams that develop and scale innovative, impactful technology. Wendy has two decades of managerial and technology leadership experience for companies including EY, Capgemini, Cycle30 (acquired by Arrow Electronics) and General Communications Inc. Wendy is an active Board Member of the Leila Janah Foundation.Show Notes2:39 – How does a CEO run a company from home?4:50 - Outline the Mission Statement7:00 – How do you hire people?8:58 – How big is the company?9:23 – What’s your secret sauce?12:10 – How does this tie back to social?18:38 –

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Matt Cowell. Matt serves as CEO at QuantHub, a leading data upskilling and assessment platform that helps companies create a data literate workforce across the entire enterprise. Matt uses his wealth of experience as a product and tech executive to forge the company strategy to address one of the most significant corporate challenges of the 2020’s, the data skill gap. Prior to QuantHub, Matt spent 15 years running product and tech at PE-backed companies, including building a product and engineering organization at Daxko - delivering 10x revenue growth, 7 acquisitions, and 3 enormously successful recapitalization. While at Daxko, Matt led th

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes2:25 - 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 goin

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes1:21 – 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 o

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next.AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have 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 Notes11:43 - 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 -

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes3:37 – 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 a

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes4:16 – 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

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Nancy Hensley, Nancy is currently the Chief Marketing and Product Officer for Stats Perform. Nancy was the Chief Digital Officer at IBM. Show Notes1:37 – Nancy’s bio3:10 - Are we talking Money Ball?5:52 - On Base percentage7:08 – Analyse examples 10:02 – Do you control the data?11:24 – Out there statistics14:12 - Can analytics go to far?17:35 – Real time analysis18:45 – Covid and sports21:15 – Your role in sports betting22:50 – What’s the most fascinating thing you’ve learned?25:23 – What’s the future?Website - Stats PerformMoney BallStats Perform - Twitter Bill James – Baseball Abstract The Analyst   Connect with the Tea

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 a

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes5:16 – 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 517:10 – 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

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes1:50 - Where does pricing go bad?

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes5:45 – How do you make the connec

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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 Notes3:30 – 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 Airbyte20:19 – What’s the business plan around open source?23:49 – Walk us through a use cas

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, 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