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 Jean-Claude Mamou. Jean-Claude is the Chief Architect of Information Integration and Governance portfolio, this includes such products as Watson Knowledge Catalog and Datastage.  Show Notes1:45 – Jean-Claude’s experience5:15 – What are the industry challenges?6:52 – Is there integration without governance?9:49 – What is the new solution?13:12 – Understanding your critical data16:06 – Explain what IBM Satellite means19:53 – Where does Cloud Pak for Data come into play?24:57 – What technology can we use to avoid repetitive mistakes?30:36 – Understanding critical data33:52 – What is the number 1 data quality issue?37:08 - How are you inspired and how do you figure your next innovation? 38:52 – Do you have a process you follow?Jean-Claude Mamou – LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Making Data Simple

Al and Jean-Claude Mamou discuss data integration, governance and industry challenges

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 Russ Krajec. Russ is a “recovering patent attorney” and believes IP can be used as a financial instrument.  He’s the author of Investing in Patents and one of IAM’s Top 300 Patent Strategists.  Russ is CEO of BlueIron, he finances the cost of patent portfolios, insures IP portfolios for enforcement and defense, and provides loans using IP as collateral.Show Notes1:28 – Russ’s intro4:51 – How is your business monetized?6:17 - Shark Tank chat11:30 – What does BlueIron provide?14:31 – What data do you use to say ‘this is the next big thing’23:24 – How many clients do you work with?25:50 – Common myths33:09 – Number one mistake?39:41 – How do you choose a patent attorney?BlueIronruss.krajec@blueironip.comRuss Krajec - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

This week Al and Russ Krajec discuss patents, patent insurance, and the patent process

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 Davit Buniatyan. Davit is founding CEO of Activeloop, he started his PhD at Princeton University, his research involved reconstructing the connectome of the mouse brain. In this research he dealt with large-scale unstructured data which was extremely expensive (amounting to millions of dollars) to manage. Later on, he realized that this problem is a real pain point, not only in the lab setting but also for many companies across industries. This made him think of a radically more efficient, and a machine-learning native way to work with data. The idea of changing how an ML team can create and manage datasets got him into Y Combinator, where he started Activeloop, a startup that has attracted the investment of prominent Silicon Valley VC firms and angel investors, and the attention of the open-source community, with the framework trending number 1 in Python on GitHub worldwide earlier this year.Show Notes2:05 – Davit’s experience6:44 – What is your success criteria in the mouse connectome?8:44 – What did you learn from this?10:00 – Could this solve ALS?13:19 – What is the problem you’re solving17:17 – How do you prepare the data?24:00 – Why are the naysayers wrong?25:21 – What is the name of the technology?31:19 – What problem have you not solved?37:44 – What keeps you up at night?38:42 – How are you finding talent? 41:06 – What do you do for fun?ActiveloopActiveloop - TwitterDavit Buniatyan - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

This week Al and Davit Buniatyan discuss reconstruction of the connectome of a mouse's brain, research in machine learning, and managing unstructured data

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 Mark Gabrielson leads RegTech in Expert Labs which is a division of Services that is associated with Development. Mark joined IBM via the Informix acquisition. In the last 10 years Mark has been leading IBMs Commercial Payments Practice. Mark is currently working on projects involving Safer Payments and OpenPages. Show Notes4:50 – What’s your most favorite job?7:58 – Describe RegTech 13:19 – Breaking down silos20:56 – How do you do it with AI?23:05 – What is OpenPages sweet spot?26:50 – If I am a client how do I get started?30:28 – Who are the competitors?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Al and Mark Gabrielson discuss RegTech, Safer Payments, and OpenPages and how they can control your governance and compliance policies

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 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 Covey.1:30 – Lynne talks about her background5:40 – Lynne’s coaching specialty and mission statement10:30 – Why don’t all leaders have coaches?12:08 – Why do you differentiate corporate coaching from life coaching?16:27 - Do you believe in the element of natural state? 18:32 – How many individuals have you coached?19:49 – What constitutes a great leader?20:55 – What are the common mistakes in a leader?24:44 – Steer them back on trackLynne Snead - LinkedInTalent Evolution SystemsLynne’s email: lsnead@talentevolutionsystems.comLeadership and self deception How will you measure your life? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

[Replay] Al and Lynne Snead discuss leadership, coaching and being your best self and mixing that in with data

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 Jean-Georges Perrin, Director of Engineering at weexperience. Together, they discuss — and compare — Apache Spark and Hadoop, and explain what it means to hold the title of IBM Champion.Show Notes02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website.13:14 - Check out Jean-Georges&apos; book on Apache Spark.24:38 - What does it mean to be an IBM Champion?Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

[Replay] Understanding Apache Spark with Jean-Georges Perrin

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 Elo Umeh, from Terragon Africa’s fastest-growing enterprise marketing technology company. Terragon uses its on-demand marketing cloud platform, attribution software, and deep analytics capability to enable thoughtful, targeted omni-channel access to 100m+ mobile-first African consumers. Elo is the Founder and CEO at Terragon Group. Elo career has spanned over 15 years where he has worked in the mobile and digital media across East and West Africa. He was part of the founding team at Mtech Communications. Elo holds a global executive MBA from IESE business of school where he graduated at the top of his class. Elo also has a Bachelor’s degree in Business Administration from Lagos State University.Show Notes4:02 – What keeps you going?6:15 – Lets dive into Terragon8:40 – Who are your customers?11:06 – Define pre-paid14:40 – What kind of incites and security are you providing?20:37- What kind of technology is Terragon using?23:16 – What was it about the smart phone that made you want to go out on your own?26:10 – Who’s your biggest competitor? 28:20 – What’s next for Terragon?31:01 – What are the biggest mistakes entrepreneurs make?Terragon Elo Umeh - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

This week Al and Elo Umeh discuss Terragon, how it benefits the businesses in Africa

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 Anastasia Leng is CEO and Founder of Creative X. Anastasia previously worked at Google, in 2012 Anastasia started an e-Commerce business which then lead to Creative X. Show Notes4:13 – How much time do you spend on funding?7:08 – Why do it again?13:28 –Is this the ending days of Hatch or the early days of Creative X?18:00 – How would you label your business?23:38 – What technology are you using?27:21 – Who is your target customer?34:14 – Are there other competitors doing this today?36:34 – Customer stories38:38 – Are you using AI?Email - anastasia@creativex.comAnastasia - LinkedIn Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

This week Al and Anastasia Leng discuss infusing creative with data

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 Notes.15 - 5:23 - Repeat of introductions from Part 1 5:50 – What is AI Anywhere?9:09 – Does it make our development more difficult?11:22 – Does data virtualization work?15:31 - How do we get started with AI?17:41 – Customer success storiesConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

[Part 2] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership

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. Host Al Martin - LinkedIn and Twitter. 

[Part 1] Al, Trent Gray-Donald, and Dakshi Agrawal discuss the technology around hybrid cloud data fabric, IBM Watson, and leadership

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 will foster competition, scientific discoveries, and the inventions that will drive the next revolution of our data economy. The company recently closed their series-A funding, led by Greylock, for another $12 million and brought Jason Warner, the current CTO for GitHub, on as an investor. Gretel also launched its latest public beta, Beta2, which offers privacy engineering as a service for everyone, not just developers.Show Notes2:03 – Alex’s background4:36 – What time frame was Harvest AI?7:14 – How does NLP play into Harvest AI?10:50 – How can we not have enough knowledge?14:08 – Does the tech exist today for security?18:14 – Privacy issues20:42 – What does Gretel stand for?27:42 – Do you increase the opportunity for bias?31:18 – Where is the sweet spot for Gretel?33:30 – When do synthetic not work?37:42 – What is practical privacy?GretelConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Al and Alex Watson discuss Gretel, security, and privacy issues around synthetic data

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&apos;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 Twitter.Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. 

[Replay] Optimizing Sports using A.I. with Joe Pavitt

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 Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. Nassim Nicholas Taleb – Fooled by Randomness - Black SwanEngineering Project ManagementNeilSiegel.usc.edu

[Part2] Al and Neil discuss why data is wrong, how you fix it, and Neil’s book.

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 smartphone and tablet components?18:30 – What’s your favorite invention? 20:20 – Why a book about Engineering and Management? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

[Part1] Al and Neil Gilbert Siegel discuss Neil’s involvement with the US Military, his inventions, Neil’s book and tune into part 2 to find out about Neil’s family

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 – How feature store save time and money29:19 – Describe the company in three bullets31:35 – What are the top skills? Davor Bonaci  - LinkedInKaskadaConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter. 

Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company

Hosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.