Making Data Simple

Send us a textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have 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?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-ConsultationBlogs: Virtual Data Science can rise to the challenge in unprecedented times by Wennie Allen Data Science and AI from anywhere... by Carlo AppuglieseWennie on LinkedIn linkedin.com/in/wennie-allen Carlo on LinkedIn linkedin.com/in/carloappugliese  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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Scott Taylor. Scott is the Data Whisperer, a thought leader, consultant on the strategic value of data management, Principal Consultant of MetaMeta Consulting and he practices data evangelism as a service. Scott discusses helping people understand the value and strategic importance of simple data. Show Notes1:25 – Scott’s back ground4:30 – Does Scott talk to data?5:20 – How long has Scott been in data?6:50 - Data Management13:12 - Data Story telling17:05 – Structured data25:08 - Core manifesto 25:48 – Bad data ideasConnect with Scott TaylorScott Taylor - LinkedInScott Taylor - TwitterScott Taylor – The Data Whisperer YouTube channel  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. 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 textAdam Weinstein is currently CEO and Co-Founder of Cursor, having worked at LinkedIn as a Senior Manager of Business Development and having founded enGreet, a print-on-demand greeting card company that merged crowd-sourcing with social expressions. In this episode, he describes his data analytics company and provides insight into creating a successful startup.-----------------------Shownotes 00:00 - Check us out on YouTube and SoundCloud!    00:10 - Connect with Producer Steve Moore on LinkedIn & Twitter    00:15 - Connect with Producer Liam Seston on LinkedIn & Twitter.    00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn & Twitter.    00:55 - Connect with Adam Weinstein on LinkedIn. 03:55 - Find out more about Cursor. 06:45 - Learn more about Cursor's Co-Founder and CEO Adam Weinstein. 13:10 - Learn more about Big Data Analytics. 19:20 - What is Python/Jupyter Notebooks? 26:35 - Learn more about Data Fluency. 35:30 - What is a startup? 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ritika Gunnar. Ritika is currently VP, Data and AI Expert Labs Services and Learning and has worked with IBM in various roles within development, support and technical sales. She started her career developing and supporting systems management warehousing and reporting solutions. She worked in various development projects across IBMs brands to create appliances and solutions for clients cloud and virtualization needs. Ritika also managed Tivoli’s world-wide technical sales teams driving solution selling within the portfolio and increasing overall revenue and client satisfaction for the brand. Show Notes2:41 – Ritika discusses her background6:07 – Ritika’s current role9:09 – Successes of Data and AI15:21 - Important things to company’s around AI21:39 – What do you see as great principals of a service business 25:56 – Ritika’s proudest moment at IBM29:20 – How much time do you spend working with clients?Ritika Gunnar – LinkedIn and Twitter  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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Debbie Berebichez she is the first Mexican woman to graduate from Stanford University with a PhD in Physics, and she uses her education and background to make science approachable to a wide range of audiences. Debbie co-hosts numerous TV shows, where she uses her knowledge of physics to explain the science behind extraordinary engineering feats. Deborah is the Chief Data Scientist at Metis where she leads the creation and growth of exceptional data science training opportunities. Deborah completed two postdoctoral fellowships at Columbia University's Applied Math and Physics Department and at NYU's Courant Institute for Mathematical Sciences where she carried out research in the area of acoustic waves. She invented a highly effective technique in the field of wireless communications whereby a cell phone user can communicate with a desired target user in a location far away. Show Notes2:10 – Debbie’s mission statement8:58 – Mentorship11:25 - Debbie talks about Discovery TV shows15:04 – Debbie discusses her Ted Talk19:20 - Data literacy discussion30:35 – Physicist to data science 33:22 – Training and data scientist 38:43 - What makes the perfect data science implementation in a company?41:53 – Debbie’s advice for young girlsDebbie Berebichez - InstagramDebbie Berebichez - TwitterDebbie Berebichez - LinkedInDebbie Berebichez - FacebookStatistic and the art of deception 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ayal Steinberg, Global Sales VP, Data and AI at IBM. Ayal Steinberg is the Vice President of Global Sales for IBM's Data and AI business unit.  In his capacity Ayal oversees IBM's largest and one of the most strategic business units with over 1,500 people and several billion dollars of annual revenue.  Ayal has proven success in managing complex and global sales organizations. Throughout his career, Ayal has created and led high-performing sales teams focused on selling complex software solutions to some of the world’s most well-known brands in more then 50 countries. Prior to IBM, Ayal successfully led sales teams through transformation and hyper growth at IBM Netezza, Oracle, Datastax (the open source provider of Apache Cassandra), and other enterprise software companies.  Earlier in his career, Ayal was a pioneer in selling software for several start-ups in price optimization and advanced analytics. Ayal majored in Economics from Binghamton University, State University of New York. Show Notes4:00 – Ayal’s back ground15:33 – IBM strategy 18:45 – Moving to cloud21:23 – Why IBM23:24 - Value Selling27:58 – Value vs. price29:57 - Skills set31:20 – How do you bring someone back aroundSolution SellingChallenger SaleStrengths Finder 2.0Connect 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Nick Caldwell. Nick is the Chief Product Officer at Looker now Google, with careers at Reddit as VP of Engineering, and various positions at Microsoft. Nick holds a degree in computer science and electrical engineering from MIT and an MBA from UC Berkeley. He’s a native of P.G. County, Maryland but is happy to call San Francisco home.Show Notes6:07 - Nick’s background9:10 – Nick discusses leadership16:45 - Building trust with product team18:55 – Great leaders21:05 – Water fall24:25 – Discussion on data25:38 – Nick explains LookerNick Caldwell - TwitterNick Caldwell - MediumNick Caldwell - LinkedInColorCode https://www.youtube.com/watch?v=n8WwwWLdgTQhttps://www.youtube.com/watch?v=lfxW4hC9a0UBlue FlameDevcolor.orgNick Caldwell 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Hadley Wickham is Chief Scientist at RStudio, and an Adjunct Professor of Statistics at the University of Auckland, Stanford University, and Rice University. He builds tools that make data science easier and faster, including the famous tidy verse packages for the R programming language. He was named a Fellow by the American Statistical Association for "pivotal contributions to statistical practice through innovative and pioneering research in statistical graphics and computing". Show Notes2:39 – Hadley talks about his journey 5:22 – Hadley talks about his American Statistical Association for "pivotal contributions to statistical practice"8:00 – Tidy data concept9:02 - How Hadley became interested in big data and R10:12 – Python and R12:30 – What Hadley is doing now13:47 – Top 3 packages that help data scientists 17:47 – Hadley discusses his book 22:48 – Writing a book vs. code29:40 – What language is going to take over31:01 – What’s next for data31:54 – What’s cool for Hadley36:26 – Hadley’s Role modelHadley Wickham’s booksGgplot2R for Data ScienceAdvanced RR PackagesHadlWant 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Ross Mauri General Manager, IBM Z & LinuxONE IBM Systems. Ross has expertise in strategy, technology, engineering, marketing, and sales. This week we discuss his career at IBM, the people and CEOs of IBM, Mainframes, Databases, Cloud, and Datastores, the myth of Z, and IBM's Z15. Show Notes3:43 - Ross Mauri's career8:22 – People of IBM and CEOs12:11 – Working with CEOs14:34 – Ross talks legacy 17:20 – What does the mainframe do that no one else can?18:28 – Z myth21:22 – LinuxONE24:29 – RedHat25:15 – What does Z not do well?26:00 – Z15Ross Mauri - LinkedInConnect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - 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. 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 textWant to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractHosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Jim Ruston Managing Director of Armeta Analytics. Al and Jim discuss monetizing data, prescriptive and descriptive approaches, and sealing the deal.Show Notes4:45 - How do you monetize data6:20 - Common actions8:50 - Prescriptive approach11:15 – Gap in data warehouse13:05 – Cleanup 17:40 – Overhead costs19:22 - Prescriptive and descriptive approach20:56 – Preferred technology23:07 - Who are the decision makers  24:56 – Sealing the deal27:10 – Why do I need ArmetaArmeta Armeta LinkedinGuaranteed Analytics The Challenger SaleConnect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - 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. 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.