Ibm Analytics Insights Podcasts

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractMaking 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 p

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. AbstractMaking 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 Notes1:30 – Douwe’s history4:00 – What is an iPhone jail break?8:04 – How would you describe Meltano?10

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. AbstractMaking 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 Notes2:56 – How do we get people to adopt AI?4:49 – Carlo’s book6:15 – 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 today22:05 – Secret sauce26:31 - Process and methodology 30:22 – Talk data34:19 – Integration, trust, and quick deployment36:10 – Working remote39:40 – How do you engage?Remo

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. AbstractMaking 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 Notes1:28 – Yonatan’s experience4:19 – 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 fo

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. AbstractMaking 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 Notes1:34 – 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 maintai

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. AbstractMaking 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 Notes2:15 – Nick’s history4:22 – DAS428:52 – Is your br

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 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 Notes4:46 – 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

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 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 Notes2:51 – Tell us about customer success4:35 – How do you make the transiti

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 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 Notes3:40 – 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 Fabric26:53 – Why is the Challenger Seller book so important?29:14 – What makes a great leader?BooksEnergy BusGritChallenger SaleChallenger CustomerEffortless Experience  Connect with the TeamProducer Kate Brown - LinkedIn.

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

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 y

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

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 - Linke

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 constitute

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' 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. 

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

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. Produc

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

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

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