Send us a text Part 1 : David Collins, Chief Revenue Officer of Diwo, enters the building.  We go a bit deep to learn about Decision Intelligence this week.  Enjoy.   Show Notes 03:28 Meet David Collins.  Who is this dude? 07:46 Why Diwo? 09:53 Decision Intelligence is NOT Data Science 14:44 Skip the dashboard 17:23 The pursuit of data perfection? 19:24 Contextual intelligence 23:12 Where does Diwo start? 27:09 A use case example 29:05 Are historical data trends meaningless? Find David : https://www.linkedin.com/in/dacollin/ Website : https://diwo.ai/ Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Let's talk supply chain efficiency of beer! Federico Crespo, CEO Valiot, takes us there with supply chain AI that increases Heineken production by 5%. Related within, time to get over Tom Brady. Seriously.  Show Notes  06:19 What's up with supply chain 11:14 Ok, what about Inflation?  12:34 Valiot, the gods of IOT  15:08 Optimizing beer production 21:53 Shifting from IOT to AI  27:32 Valiot's differentiation  31:06 Are we ready for another Covid?  Find Federico: https://www.linkedin.com/in/crespofederico/? originalSubdomain=mx Find Valiot: https://valiot.io/  Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Core hypothesis is all companies are data driven, all have data complexity, and there is not enough talent out there to solve it.   Show Notes 04:01 Why Start Acceldata 06:02 Core hypothesis for Acceldata 08:59 Will Hadoop survive? And a tip of the hat to mainframes 11:12 Meaning of Data Observability & managing the data pipeline 13:26 The most troublesome data layer 20:10 Acceldata value prop 24:58 A typical observability engagement 29:08 AI is built in 30:38 Early client adoption 33:26 Preventing future data reliability issues 35:10 Acceldata's futures and why now? Find Rohit: https://www.linkedin.com/in/rconline/ Find Acceldata : https://www.linkedin.com/company/acceldata/ Want to be featured as a guest on Making Data Simple? Reach out to us at  [[email protected]] and tell us why you should be next. Abstract  Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical  Leader IBM Technology Sales, where we explore trending technologies,  business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Ferret, the company that performs due diligence for you.  Relationship intelligence to avoid high - risk individuals.  With Ferret Theranos doesn't happen.  Welcome Matt Heise, Co-founder and head of Product at Ferret. Show Notes 03:28 Attraction of serial entrepreneurship 05:17 The unbelievable story of Ferret's founding 11:37 Why due diligence isn't really done 18:50 How does Ferret work 20:41 Would this have prevented Theranos 25:19 Two use cases.  Got get it for Free. 36:03 Ferret's future 36:56 Competition 38:42 Making a dent in the number of bad actors 39:56 Preventing "Inventing Anna" Find  Matt: https://www.linkedin.com/in/mattheisie/ www.Ferret.ai Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. 

Abstract  Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical  Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Part 2: This week on Making Data Simple, we have Eric Diamler. Eric is an authority in the Artificial Intelligence community with over 20 years of experience in the field. He currently leads MIT’s first-ever spinout from its Math department and has co-founded six technology companies that have pioneered work in fields ranging from software systems to statistical arbitrage.  Show Notes  00:00 -Definition of gov success 8:02 - Six startups and counting and the latest : Conexus 13:12 - Conexus differentiation 20:05 - AI regulation Want to be featured as a guest on Making Data Simple? Reach out  to us at [[email protected]] and tell us why you should  be next. 

Abstract Making Data Simple Podcast is hosted by Al  Martin, WW VP Account Technical Leader IBM Technology Sales,  where we explore trending technologies, business innovation, and  leadership ... while keeping it simple & fun.

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Part 1: This week on Making Data Simple, we have Eric Diamler.  Eric is an authority in the Artificial Intelligence community with over 20 years of experience in the field. He currently leads MIT’s first ever spinout from its Math department and has cofounded six technology companies that have pioneered work in fields ranging from software systems to statistical arbitrage.  Show Notes  2:24 –Presidential Innovation Fellow during the Obama Administration 4:30 -Be careful about confusing a vision with a short-term time horizon 12:56 - Don’t be a technology laggard, know what the "data" inhibitors are 20:12 - Mr. President.  Here is the situation 27:49 - How does the US compare to other countries? Want to be featured as a guest on Making Data Simple? Reach out  to us at [[email protected]] and tell us why you should  be next. Abstract Making Data Simple Podcast is hosted by Al  Martin, WW VP Account Technical Leader IBM Technology Sales,  where we explore trending technologies, business innovation, and  leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract 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 Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Rob Telson AI thought-leader and Vice President of Worldwide Sales at BrainChip, a global tech company that has developed artificial intelligence that learns like a brain, whilst prioritizing efficiency, ultra-low power consumption, and continuous learning. Rob has over 20 years of sales expertise in licensing intellectual property  and selling EDA technology and attended Harvard Business School. Show Notes 2:18 - Rob’s history 5:31 – Tell us about your business model 9:07 – Outline Nero networks 13:54 – Are you a processor, platform, or developer? 22:29 – Who are your customers? 27:34 – How long is the sale cycle? 28:26 – Who’s your biggest competitor?  32:18 – Has your career always been on the hardware side? Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  brainchip.com/developer  YouTube - brainchip Malcolm Gladwell – Outliers Clayton Chritensen – Disruptive Technology, Innovators Dilemma,  Dan Millman - Life you were meant to live That’s Outside of my Boat Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Dima Syrotkin, founder of Pandatron.  Dima Syrotkin is the CEO of Pandatron and a PhD researcher at Aalto University in Helsinki. With clients like SAP, Universal Pictures & Skanska, Pandatron is a startup that supports change management. They do it by scaling AI-driven coaching 1-on-1s to every manager, which also allows them to measure change.

Show Notes 1:49 – Dima’s history 5:35 – Where does the coaching come in? 16:39 – Have you ever had a case where there is no model or exercise? 19:28 – Is there any follow up? 20:58 – What’s your most profound use case? 25:49 – Empathy  33:35 – What models are used? 36:25 – How does bias work? 37:29 – How do you measure progress? 39:07 – Describe your business model Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Elliot Shmukler. Elliot is currently Founder and CEO of Anomalo. Elliot was formerly a Product Engineer Executive at Wealthfront, LinkedIn, eBay, and Instacart. Elliot left Instacart about three years ago to form Anomalo.

Show Notes 3:03 – Is the common problem data quality or data? 6:38 – What is the biggest area of friction at Instacart? 9:43 – What made you go branch out on your own? 15:02 – How does Anomalo solve the data quality problems? 21:56 – Tell us about the tech 27:50 – When should I contact you? 31:03 – Tell us about your Forbes article  39:47 – Tells us about your pitch   Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Ayal Steinberg VP, WW Data, AI, and Automation Sales Leader Global Markets. Ayal started off in music and then in the late 1990’s shifted to retail where he learned about data and analytics. In the past 20 years Ayal has held various sales rolls during his career.  Show Notes 2:18 – What the new year means in sales 7:09 – How are you going to go to market in 2022? 10:36 – If we jumped to this time next year 2023, how did 2022 go? 12:36 – Does the Challenger Sale still apply today? 14:58 – How do you execute influence? 18:39 – What motivates a core sales team? 21:34 – What are your tricks and tips around shared communication? And then how do you build on that shared influence? 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]] or for faster response, complete this form and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Ayal Steinburg VP, WW Data, AI, and Automation Sales Leader Global Markets. Ayal started off in music and then in the late 1990’s shifted to retail where he learned about data and analytics. In the past 20 years Ayal has held various sales rolls during his career.  Show Notes 9:18 – Ayal’s history 11:50 – Ayal talks about his portfolio  16:16 – Market expansion and reducing costs 19:02 – Platform and one product 21:50 – Why IBM technologies? 24:20 – Why are customers moving data? 27:56 – Is “Switzerland” a hard or easy sell? 30:52 – What is your biggest challenge right now? IBM Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Veggie World. Show Notes 2:40 – What data are you using? 8:16 – What the widget does 10:53 – Do I get the nutritional facts?  11:17 – Tell us more about your experience 14:50 – Where does AI fit? 19:10 – How did you win the Watson AI award? 23:02 – What is your monetization strategy?   Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Michael Haase. Michael is CEO and Founder of Plant Jammer. Plant Jammer is a 5 year old startup that uses AI to help people cook. Michael was formally a Mackenzie Consultant. The technology used won the IBM Watson AI in 2018, Michael also won the Creative Business Cup in 2018 and Green Entrepreneur award by Vegie World. Show Notes 3:24 – Michael’s history 7:09 – What’s your theme? 11:04 – 80% of people cook less than 10 different recipes in a year. Is that true? 16:20 – Can you talk about your ambition for 2024? 18:22 – How does the company focus on reducing food waste and using data? 21:04 – Is the app and widget the same? 23:58 – Can anyone grab that widget? Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

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

Show Notes 1:22 – Benn’s history 7:09 – Tell us how you got to where you are today 9:14 – Tell us about Mode 12:08 – What is your definition of the Chief Analytics Officer? 21:53 – Why do we need another BI tool? 24:09 – What’s your secret sauce? 27:48 – Where did the name Mode come from? 28:41 – How do we use Mode? 31:08 – What is you goto market strategy?  32:38 – Any client references? 34:58 – “The missing piece in the modern data stack” tell us about this Mode  Email: [email protected] [email protected] Twitter: benn stancil Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Wennie Allen Business Director, Data Science and AI Elite Team and Carlo Appugliese Program Director – Data &AI, Data Science Elite Team. This week we talk about agile AI and remote data science. Carlo discusses his book, while Wennie talks about the secret sauce. Show Notes 2:56 – How do we get people to adopt AI? 4:49 – Carlo’s book 6:15 – Why do we call it agile AI? 11:12 – Six weeks to get it done! 15:07 – Where are we at with AI? 16:54 - Problems with AI today 22:05 – Secret sauce 26:31 - Process and methodology  30:22 – Talk data 34:19 – Integration, trust, and quick deployment 36:10 – Working remote 39:40 – How do you engage? Remote Data Science Website: http://ibm.biz/RemoteDataScience Agile AI Blog: http://ibm.biz/DSE-AgileAI-Blog Agile AI Book:   http://ibm.biz/DSE-AgileAI Community: http://ibm.biz/DSE-Community Chat with the Lab: http://ibm.biz/DSE-ChatWithTheLab Consultation: http://ibm.biz/DSE-Consultation Blogs:  Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo Appugliese Wennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Yonatan Geifman, CEO & Co-founder of DECI.ai. We provide a proprietary optimization technology for deep learning practitioners that complements other techniques like pruning, quantization and NAS, enabling you to accelerate deep neural network inference on any hardware while preserving accuracy. Show Notes 1:28 – Yonatan’s experience 4:19 – What did you see in the market that didn’t exist today?  9:30 – How does the process begin? 11:57 – Does it sync in the cloud? 14:50 – What is it that you can’t find in the market? 20:13 – What is the most common hardware? 22:55 – What are your thoughts on bias? 26:08 – What is your definition for AI to be practical? 31:35 – What do you do when the data is not ready? DECI Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Making Data Simple Podcast is hosted by Al Martin, VP, IBM Expert Services Delivery, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. This week on Making Data Simple, we have Slater Victoroff the founder and CTO at Indico, an enterprise AI solution for unstructured content with a focus on document understanding and process automation.  Slater builds machine learning solutions for start-ups, governments, and Fortune 100 companies for the past 7 years.  Indico’s framework requires 1000x less data than traditional machine learning techniques. Show Notes 1:34 – Why did you go from CEO to CTO? 3:51 – What are you pitching to me? 10:55 – What use cases is Indico involved with? 13:23 – What industries do you cross? 18:06 – Is there any cleansing of data? 23:12 – How long does it take? 27:20 – How is the data maintained? 28:14 – What’s the business model? 35:13 – What’s the #1 problem that prevents companies from adapting this technology? 38:59 – What can clients expect? 43:16 – What have you learned about leadership?   Slater Victoroff email: slater.website Indico  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 Ariel Utnik. Ariel is COO and GM at Verbit, an AI-driven transcription and captioning solution, Ariel has over 20 years of experience in enterprise tech, focusing on driving business efficiencies and enabling scale through AI. He can speak to how AI is transforming industries – from our court systems to entertainment and education – and how it can be used to democratize information across the globe.  Ariel has a strong customer focused background (Like Al), Chief customer officer at Feedvisor, VP customer success at Panaya, and VP Customer success at Clarizen. Show Notes 2:51 – Tell us about customer success 4:35 – How do you make the transition from Chief Customer Officer to COO? 6:47 – What is Verbit’s main mission objective? 14:15 – How many languages do you support? 14:42 – What makes Verbit’s technology better? 19:10 – How do you train your AI? 22:47 – What solutions does Verbit offer? 27:20 – How far are we from a chat translator? 32:30 – What is the size of the market? Verbit Ariel Utnik - LinkedIn Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

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

This week on Making Data Simple, we have Paul Zikopoulos. Paul is the VP of IBM Technology Sales – Skills Vitality & Enablement Global Markets. Paul is an award winning speaker and author and has been at IBM for 28 years.

Show Notes 3:40 – Is Skills Vitality not the prefect job? 5:08 – What’s been your journey at IBM? 8:29 – Hybrid Cloud Operation and Artificial Intelligence is this the right strategy? 21:13 – What is the new maturity curve? 23:53 – Define Data Fabric 26:53 – Why is the Challenger Seller book so important? 29:14 – What makes a great leader? Books Energy Bus Grit Challenger Sale Challenger Customer Effortless Experience  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 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 Notes 2:05 – Davit’s experience 6:44 – 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 solving 17:17 – 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? Activeloop Activeloop - Twitter Davit Buniatyan - LinkedIn Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts. This week on Making Data Simple, we have 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 Notes 4:50 – What’s your most favorite job? 7:58 – Describe RegTech  13:19 – Breaking down silos 20:56 – 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 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 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 background 5:40 – Lynne’s coaching specialty and mission statement 10:30 – 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 track Lynne Snead - LinkedIn Talent Evolution Systems Lynne’s email: [email protected] Leadership and self deception  How will you measure your life? 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 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 Notes 4:13 – 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 stories 38:38 – Are you using AI? Email - [email protected] Anastasia - LinkedIn  Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Send us a text Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next.

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

This week on Making Data Simple, we have 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 stories 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.