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 Kim Smith. Kim is Global Vice President, Hybrid Cloud Services Consulting at IBM. Kim is author, UNCTAD speaker, executive board member, top 10 women in cloud, 10 ten game changing female leaders.  Show Notes 1:25 – Kim’s experience 5:44 – What did you code in? 8:56 – How do you continue to reinvent yourself? 11:29 – What have you done to drive value? 14:02 – Describe your roll at IBM 18:18 – What does IBM offer in Containerization? 24:54 – What use cases are you working on? 28:10 – How does the engagement work? 35:48 – What are the top technology trends going to be? 42:53 – Say more on the top 10 women in Cloud and the top 10 game changing female leaders 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 Greg Edwards, CEO at Cryptostopper.  Greg has been a technology entrepreneur since 1998. Before Greg founded CryptoStopper, Greg started Axis Backup, a backup and disaster recovery company for the insurance industry. Greg  saw firsthand the rapid increase in the damage cyber criminals were doing with debilitating malware resulting in high financial loss to vulnerable companies. Between 2012 and 2015, one in five of Axis Backup’s clients was hit by cybercrime. Greg realized effective cyber security could save businesses from costly downtime and compromised systems. In 2015, Axis Backup was acquired by J2 Global, freeing Greg to create CryptoStopper and focus exclusively on cybersecurity. Show Notes 1:29 – Greg’s background 6:20 – Why the name CryptoStopper? 8:06 – How do you define ransomware?  12:18 – 1 in 5 backups were hit by cybercrime? 16:05 – How bad is it? 24:38 – What does your technology do? 29:36 – What makes your product different? 33:31 – Ransomware is the # 2 threat to businesses getcryptostopper.com Greg’s email: gedwards@ getcryptostopper.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 [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 Douwe Maan. Douwe is the Founder and CEO of Meltano, an open source data integration and transformation platform. He joined GitLab as employee number 10 while still in college and later became its Engineering Manager. Meltano originally began as an internal project within GitLab, but spun out as an independent startup in early 2021 while raising $4.2 million in seed funding led by GV. Today, Meltano has over 5,000 active projects every month and supports data integration connectors for almost 300 sources and destinations. Show Notes 1:30 – Douwe’s history 4:00 – What is an iPhone jail break? 8:04 – How would you describe Meltano? 10:38 – What kind of tools do you use? 12:12 – Did you start with ELT? 16:08 – Is this dev ops or data ops and what is the difference? 18:38 – What platform does Meltano use? 29:52 – What can you do that no one else can do? 32:10 – Do you have point and click analytics? 36:23 – How do you measure success? Meltano  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 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 Nick Amabile. Nick is the CEO is DAS42, a US data analytics consulting firm that helps companies make better decisions, faster. Founded in 2015, DAS42 is comprised of data analysts, scientists, business professionals, and engineers who provide end-to-end data services —including data strategy, tech stack integrations, application implementation, and enterprise analytics training. Nick’s philosophy is centered around the two components critical to achieving data-driven success: building an effective data analytics environment and building a data-centric company culture. Show Notes 2:15 – Nick’s history 4:22 – DAS42 8:52 – Is your brand consulting? 11:07 – What do you do different? 14:39 – What’s important about consulting? 18:25 – Is managed services cost effective? 21:18 – What still surprises you? 25:32 – What metrics do you look at? 28:11 – How has the pandemic affected you? 32:28 – Why venture capital fund? 34:49 – What are your practices today? Website:  das42 Email – [email protected] 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 Tim Freestone. Tim is the founder of Alooba. Alloba is a skills assessment platform for analytics, data science and data engineering. They help businesses identify the best candidates that apply for a role within its company. Show Notes 4:46 – How do you go from economics teacher to head of business intelligence? 7:53 – Do CV’s matter anymore? 13:22 – What business problem is Alooba solving? 16:05 – Do you have any data that supports your theory? 19:01 – Why analytics, data science, data engineering? 20:26 - What do you do that others don’t? 23:50 – How does Alooba define success? 25:42 – Who’s your target client base? 32:40 –Is there a customer you can talk about? 36:24 – What does Alooba mean? Alooba  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 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 Notes 1:45 – Jean-Claude’s experience 5:15 – What are the industry challenges? 6:52 – Is there integration without governance? 9:49 – What is the new solution? 13:12 – Understanding your critical data 16:06 – Explain what IBM Satellite means 19:53 – Where does Cloud Pak for Data come into play? 24:57 – What technology can we use to avoid repetitive mistakes? 30:36 – Understanding critical data 33:52 – 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 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 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 Notes 1:28 – Russ’s intro 4:51 – How is your business monetized? 6:17 - Shark Tank chat 11:30 – 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 myths 33:09 – Number one mistake? 39:41 – How do you choose a patent attorney? BlueIron [email protected] Russ Krajec - 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 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 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 Notes 02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website. 13:14 - Check out Jean-Georges' book on Apache Spark. 24:38 - What does it mean to be an IBM Champion? 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 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 Notes 4:02 – What keeps you going? 6:15 – Lets dive into Terragon 8:40 – Who are your customers? 11:06 – Define pre-paid 14:40 – 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 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.

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 5:24 – 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 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 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 Notes 2:03 – Alex’s background 4:36 – 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 issues 20:42 – 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? Gretel 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 This 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 Joe LinkedIn Show Notes 05:29 - 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 Team Producer 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.  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.