Podcasts about making data simple reach

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, 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 Lisa Palmer. Lisa is currently pursuing her doctorate in Artificial Intelligence, Chief Technical Advisor with Splunk Technologies. Lisa also was a professor at Southern Nazarene University, Tara Data Global Accounts Strategist, and then VP and America’s Regional Manager for Gartner. Show Notes1:30 – Lisa’s background6:16 – What is your Brand10: 06 - Pros and cons of AI Intelligence12:14 – Policing AI15:40 – Does bias worry you20:00 - What is flipping to data leadership23:55 – What are you working on27:07 – Why is pursuing your doctorate important to you28:38 – What’s your advice for other leaders30:37 – Trusted information32:50 – Predication for next yearInvisible Women: Data Bias in a World Designed for MenLisa Palmer - LinkedIn 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, 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 Lisa Palmer. Lisa is currently pursuing her doctorate in Artificial Intelligence, Chief Technical Advisor with Splunk Technologies. Lisa also was a professor at Southern Nazarene University, Tara Data Global Accounts Strategist, and then VP and America’s Regional Manager for Gartner. Show Notes1:30 – Lisa’s background6:16 – What is your Brand10: 06 - Pros and cons of AI Intelligence12:14 – Policing AI15:40 – Does bias worry you20:00 - What is flipping to data leadership23:55 – What are you working on27:07 – Why is pursuing your doctorate important to you28:38 – What’s your advice for other leaders30:37 – Trusted information32:50 – Predication for next yearInvisible Women: Data Bias in a World Designed for MenLisa Palmer - LinkedIn 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, 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 Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms. Show Notes11:43 - What is the context and how did you get involved?17:10 - How do you define success?19:40 - Are you focused on IT language?25:03 - How do you know you’re doing it right?32:30 - What decision have already been made?37:13 - What other challenges have you faced?40:00 - How do you know when you’re done?41:29 - How can people contribute?Dale Davis Jones - LinkedInHai-Nhu Tran - LinkedInBlog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in Technologyhttps://www.ibm.com/blogs/think/2020/08/words-matter-driving-thoughtful-change-toward-inclusive-language-in-technology/Call for Code for Racial Justice:https://developer.ibm.com/callforcode/racial-justice/Linux Foundation 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, 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 Dale Davis Jones, who is an IBM Vice President and Distinguished Engineer in Global Technology Services, where she leads the GTS IT Architect community and Client Innovation. We also have Hai-Nhu Tran, who is the Senior Manager of Content of Design in Data and AI at IBM. Hai-Nhu and her team are responsible for the technical content experience for a large portfolio of products and platforms. Show Notes11:43 - What is the context and how did you get involved?17:10 - How do you define success?19:40 - Are you focused on IT language?25:03 - How do you know you’re doing it right?32:30 - What decision have already been made?37:13 - What other challenges have you faced?40:00 - How do you know when you’re done?41:29 - How can people contribute?Dale Davis Jones - LinkedInHai-Nhu Tran - LinkedInBlog - Words Matter: Driving Thoughtful Change Toward Inclusive Language in Technologyhttps://www.ibm.com/blogs/think/2020/08/words-matter-driving-thoughtful-change-toward-inclusive-language-in-technology/Call for Code for Racial Justice:https://developer.ibm.com/callforcode/racial-justice/Linux Foundation 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, 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 Kathy Parks. Kathy worked at IBM and is now an owner and independent Angel Investor. Kathy started her career in publishing and then transitioned over to Kurzweil Computer Products working on reading machine for the blind. Kathy then moved to Interleaf working on publishing products, then to QA and Project Management. Kathy then moved to Rational Software and in 2003 Rational was bought by IBM. Show Notes2:10 - How do you go from publishing to project management?3:15 - How did you transition to Angel Investing?5:58 - What’s at the core7:06 - What is Angel Investing12:40 - Is there a formula that you use?17:24 - How are pitches made?18:37 - Other forms of capital22:43 - How many investments have you made?29:21 - What data to you use?30:42 - Why are we not seeing the investments?31:58 - What are the KPIs in a pitch?33:20 - How long does the process take?Angel Capital Association KJParks - LinkedinAngel Investing - Venture DealsAge of Surveillance Capitalism 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, 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 Kathy Parks. Kathy worked at IBM and is now an owner and independent Angel Investor. Kathy started her career in publishing and then transitioned over to Kurzweil Computer Products working on reading machine for the blind. Kathy then moved to Interleaf working on publishing products, then to QA and Project Management. Kathy then moved to Rational Software and in 2003 Rational was bought by IBM. Show Notes2:10 - How do you go from publishing to project management?3:15 - How did you transition to Angel Investing?5:58 - What’s at the core7:06 - What is Angel Investing12:40 - Is there a formula that you use?17:24 - How are pitches made?18:37 - Other forms of capital22:43 - How many investments have you made?29:21 - What data to you use?30:42 - Why are we not seeing the investments?31:58 - What are the KPIs in a pitch?33:20 - How long does the process take?Angel Capital Association KJParks - LinkedinAngel Investing - Venture DealsAge of Surveillance Capitalism 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, 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 Oliver Claude Portfolio Offering Manager for Data and AI and Oliver is a Data Governance expert. Oliver also worked as a Chief Marketing Officer, VP and Chief Solution Owner, Solution Management, and Consulting, Al and Oliver discuss Data Governance and Data Ops and how it all fits into your business. Show Notes2:50 - What is the definition of Data Governance?4:06 - What is Data Ops?4:40 - What is IBM doing with Data Ops?5:16 - How have we automated our tools?6:58 - What is better red or white wine?7:33 - What is the future of Data Governance?9:37 - How is Data Governance and Data Ops related to AI?11:06 - What are the pitfalls for customers implementing Data Governance?12:10 - How do companies get started?Oliver Claude - LinkedInIBM DataOps 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, 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 Oliver Claude Portfolio Offering Manager for Data and AI and Oliver is a Data Governance expert. Oliver also worked as a Chief Marketing Officer, VP and Chief Solution Owner, Solution Management, and Consulting, Al and Oliver discuss Data Governance and Data Ops and how it all fits into your business. Show Notes2:50 - What is the definition of Data Governance?4:06 - What is Data Ops?4:40 - What is IBM doing with Data Ops?5:16 - How have we automated our tools?6:58 - What is better red or white wine?7:33 - What is the future of Data Governance?9:37 - How is Data Governance and Data Ops related to AI?11:06 - What are the pitfalls for customers implementing Data Governance?12:10 - How do companies get started?Oliver Claude - LinkedInIBM DataOps 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, 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.Show Notes2:25 – Can data define behavior in someone?7:19 – How do you complete an assessment?9:46 – Attributes of assessments20:25 – Coaching advice Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: lsnead@talentevolutionsystems.comLeadership and self deception How will you measure your life?Lynne’s List of Recommended Leadership BooksLeadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian Tracy 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, 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.Show Notes2:25 – Can data define behavior in someone?7:19 – How do you complete an assessment?9:46 – Attributes of assessments20:25 – Coaching advice Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: lsnead@talentevolutionsystems.comLeadership and self deception How will you measure your life?Lynne’s List of Recommended Leadership BooksLeadership and Self Deception, Arbinger Institute7 Habits of Highly Effective People, Stephen R. Covey (Senior)5 Levels of Leadership, John Maxwell. What Got You Here Won’t Get You There, Marshall GoldsmithConversational Intelligence, Judith GlaserThe Speed of Trust, Stephen M.R. Covey (Junior) Emotional Intelligence, Daniel GolemanThe New Art of Managing People, Tony Alessandra and Phil HunsakerHow to Influence People, John MaxwellHumble Inquiry, Edgar H. Schein Humble Leadership, Edgar H. Schein and Peter ScheinLeadership is an Art, Max De PreeThe Secrets to Winning at Office Politics, Marie G. McIntyreThe Power of Focus, Jack Canfield, Mark Victor Hansen, Les HewittThe Power of Self-Confidence, Brian Tracy 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, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey.1:30 – Lynne talks about her background5:40 – Lynne’s coaching specialty and mission statement10:30 – Why don’t all leaders have coaches?12:08 – Why do you differentiate corporate coaching from life coaching?16:27 - Do you believe in the element of natural state? 18:32 – How many individuals have you coached?19:49 – What constitutes a great leader?20:55 – What are the common mistakes in a leader?24:44 – Steer them back on track Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: lsnead@talentevolutionsystems.comLeadership and self deception How will you measure your life? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

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, Data and AI Expert Services and Learning at IBM, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Lynne Snead. Lynne is the founder of Talent Evolution Systems, a behavioral analyst, consultant, training specialist, speaker, coach, Lynne has a back ground in Educational Psychology, and has specialized in organizational performance for over 20 years. Lynne is one of the original Franklin Covey co-authors, has a best seller, she created Franklin Covey’s signature Project Development process and programs, worked directly with Stephen Covey.1:30 – Lynne talks about her background5:40 – Lynne’s coaching specialty and mission statement10:30 – Why don’t all leaders have coaches?12:08 – Why do you differentiate corporate coaching from life coaching?16:27 - Do you believe in the element of natural state? 18:32 – How many individuals have you coached?19:49 – What constitutes a great leader?20:55 – What are the common mistakes in a leader?24:44 – Steer them back on track Lynne Snead - LinkedInTalent Evolution SystemsLynne’s email: lsnead@talentevolutionsystems.comLeadership and self deception How will you measure your life? Connect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

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, 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 Amy McDermott. Amy is a science journalist at Front Matter, the magazine section of PNAS (Proceedings of the National Academy of Sciences), where she covers new and emerging research. Her background spans ecology and journalism: she has an MA in conservation biology from Columbia University and a graduate certificate from the UC Santa Cruz Science Communication Program. Show Notes4:20 - Amy’s background7:25 – Amy summaries the stories on fires11:21 – What does the data suggest about fires?12:04 – Are there computer models on fires? 17:35 – Real world example of how models are used19:44 – How accurate is the data?24:25 - Examining the data28:35 - How do you define success? 29:55 – Amy’s passion Amy McDermott - LinkenInFront Matter 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, 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 Amy McDermott. Amy is a science journalist at Front Matter, the magazine section of PNAS (Proceedings of the National Academy of Sciences), where she covers new and emerging research. Her background spans ecology and journalism: she has an MA in conservation biology from Columbia University and a graduate certificate from the UC Santa Cruz Science Communication Program. Show Notes4:20 - Amy’s background7:25 – Amy summaries the stories on fires11:21 – What does the data suggest about fires?12:04 – Are there computer models on fires? 17:35 – Real world example of how models are used19:44 – How accurate is the data?24:25 - Examining the data28:35 - How do you define success? 29:55 – Amy’s passion Amy McDermott - LinkenInFront Matter 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, 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 Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing. Al and Dr. Lee try and help us understand Quantum Computing as a new technology. Show Notes3:03 - Dr. Lee talks about her day to day job4:40 – The challenge 6:12 - Dr. Lee describes quantum 8:03 – What is quantum computing going to do for us that we can’t do today?9:30 – How does this work?17:50 – What kind of problem is quantum computing suited to answer?19:40 – Will quantum computing replace traditional computing?23:36 – Who can use quantum computing?32:30 – Security and quantum33:50 – Dr. Lee’s teamDr. Kayla Lee - LinkedInIBM Quantum Computing QiskitHBCU Center Driving Diversity and Inclusion in Quantum ComputingIBM’s Roadmap For Scaling Quantum TechnologyConnect 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, 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 Dr. Kayla Lee Growth Product Manager, Community Partnerships at IBM Quantum & Qiskit. Dr. Kayla Lee works with innovation teams across industries to understand how they can using new and emerging technologies to solve their business challenges. In her role, she serves as a bridge between business and science to help drive value for enterprise clients. Her primary focus is the new model of computation, quantum computing, working with clients to understand potential applications, prioritize use cases, and build a business strategy to prepare for the future of computing. Al and Dr. Lee try and help us understand Quantum Computing as a new technology. Show Notes3:03 - Dr. Lee talks about her day to day job4:40 – The challenge 6:12 - Dr. Lee describes quantum 8:03 – What is quantum computing going to do for us that we can’t do today?9:30 – How does this work?17:50 – What kind of problem is quantum computing suited to answer?19:40 – Will quantum computing replace traditional computing?23:36 – Who can use quantum computing?32:30 – Security and quantum33:50 – Dr. Lee’s teamDr. Kayla Lee - LinkedInIBM Quantum Computing QiskitHBCU Center Driving Diversity and Inclusion in Quantum ComputingIBM’s Roadmap For Scaling Quantum TechnologyConnect with the TeamProducer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

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. 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. Abstract This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.Show Notes1. https://www.ibm.com/blogs/watson-health/author/kyurhee/2. https://www.ibm.com/impact/covid-19/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn. Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.Additional resources: IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watsonHow governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/

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. 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. Abstract This week on Making Data Simple, we have a returning guest Dr. Kyu Rhee VP & Chief Health Officer IBM and IBM Watson Health, discussing the Covid-19 pandemic and how we prepare and react individually and as a country. What can we do for ourselves and how this pandemic affects the economy. And when do we see a light at the end of the tunnel.Show Notes1. https://www.ibm.com/blogs/watson-health/author/kyurhee/2. https://www.ibm.com/impact/covid-19/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn. Producer Meighann Helene - LinkedIn. Host Al Martin - LinkedIn and Twitter.Additional resources: IBM Watson Health COVID-19 Resources: https://www.ibm.com/watson-health/covid-19IBM Watson Health: Micromedex with Watson: https://www.ibm.com/products/dynamed-and-micromedex-with-watsonHow governments are rising to the challenge of COVID-19: https://www.ibm.com/blogs/watson-health/governments-agencies-rising-challenge-of-covid-19/

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week, Paul Zikopolous, IBM VP Big Data Cognitive Systems, makes a highly anticipated return to Making Data Simple. Paul gives an update to what he's been working on, including his A.I. tracking app which saw an interesting use case at a recent Luke Bryan concert. We are also given some insight to the state of data and the rest of the industry. Host Al Martin then finishes things off by discussing what it means to lead a team, and tips for growing your career. Connect with PaulLinkedIn TwitterIBM BlogsShow Notes07:02 - Read more about Watson Anywhere here. 20:20 - Check out Auto AI here.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - 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. AbstractThis week, Paul Zikopolous, IBM VP Big Data Cognitive Systems, makes a highly anticipated return to Making Data Simple. Paul gives an update to what he's been working on, including his A.I. tracking app which saw an interesting use case at a recent Luke Bryan concert. We are also given some insight to the state of data and the rest of the industry. Host Al Martin then finishes things off by discussing what it means to lead a team, and tips for growing your career. Connect with PaulLinkedIn TwitterIBM BlogsShow Notes07:02 - Read more about Watson Anywhere here. 20:20 - Check out Auto AI here.Connect with the TeamProducer Liam Seston - LinkedIn.Producer Lana Cosic - LinkedIn.Producer Meighann Helene - 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, 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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 PackagesHadley Wickham’s BlogHadley Wickham’s LinkedInHadley Wickham’s Twitter RStudio BlogConnect with the TeamProducer Kate Brown -

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, 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 PackagesHadley Wickham’s BlogHadley Wickham’s LinkedInHadley Wickham’s Twitter RStudio BlogConnect with the TeamProducer Kate Brown -

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, 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. 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. 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. 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. 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 Peter Wang Co Founder and CEO of Anaconda and Shadi Copty VP of Offering Manager. Al, Peter, and Shadi discuss Data Science and IBMs partnership with Anaconda.Show Notes6:11 - Corporate Mission8:00 - Use Case9:20 - IBM and Anaconda partnership14:04 - Cloud Pak for Data what is it?15:43 – Python vs R17:15 – Anaconda’s Future23:25 – Shadi takes over from Al25:05 – Data Science Community33:40 – Centre of Humane Technology Anaconda - https://www.linkedin.com/company/anacondainc/Connect 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. 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 Peter Wang Co Founder and CEO of Anaconda and Shadi Copty VP of Offering Manager. Al, Peter, and Shadi discuss Data Science and IBMs partnership with Anaconda.Show Notes6:11 - Corporate Mission8:00 - Use Case9:20 - IBM and Anaconda partnership14:04 - Cloud Pak for Data what is it?15:43 – Python vs R17:15 – Anaconda’s Future23:25 – Shadi takes over from Al25:05 – Data Science Community33:40 – Centre of Humane Technology Anaconda - https://www.linkedin.com/company/anacondainc/Connect 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. 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 Andy Youniss President and CEO of Rocket Software, co-founded in 1990 with products across the Ladder to AI, Hybrid Cloud and businesses in Technology partnerships. This week we discuss Covid and its personal and professional affects on business. Show Notes3:00 - Rockets core values 7:17 – Life and times 10:25 – Portfolio11:26 - Vision 15:07 - Legacy tagline20:26 - Rockets responds to Covid27:17 – Secure file transfer business28:53 – Where did the name Rocket come from?30:05 – What does leadership mean to you?IBM Assistance - https://www.ibm.com/watson/covid-responseRocket Software - https://www.rocketsoftware.com/Linkedin - https://www.linkedin.com/company/rocket-softwareTwitter - https://twitter.com/rocketFacebook - https://www.facebook.com/RocketSoftwareIncBrene Brown - https://brenebrown.com/Arvind Krishna - https://www.linkedin.com/in/arvindkrishna/Spillover – https://www.amazon.com/Spillover-Animal-Infections-Human-Pandemic/dp/0393066800#reader_0393066800Bruce Springsteen - https://www.goodreads.com/book/show/29072594-born-to-runConnect 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. 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 Andy Youniss President and CEO of Rocket Software, co-founded in 1990 with products across the Ladder to AI, Hybrid Cloud and businesses in Technology partnerships. This week we discuss Covid and its personal and professional affects on business. Show Notes3:00 - Rockets core values 7:17 – Life and times 10:25 – Portfolio11:26 - Vision 15:07 - Legacy tagline20:26 - Rockets responds to Covid27:17 – Secure file transfer business28:53 – Where did the name Rocket come from?30:05 – What does leadership mean to you?IBM Assistance - https://www.ibm.com/watson/covid-responseRocket Software - https://www.rocketsoftware.com/Linkedin - https://www.linkedin.com/company/rocket-softwareTwitter - https://twitter.com/rocketFacebook - https://www.facebook.com/RocketSoftwareIncBrene Brown - https://brenebrown.com/Arvind Krishna - https://www.linkedin.com/in/arvindkrishna/Spillover – https://www.amazon.com/Spillover-Animal-Infections-Human-Pandemic/dp/0393066800#reader_0393066800Bruce Springsteen - https://www.goodreads.com/book/show/29072594-born-to-runConnect 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. 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 Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms. Show Notes4:04 – Bio Rhythmic Using Ants 8:04 – Knapsack Problem vs Algorithms9:02 – Mother and Father DNA10:29 – Silver Bullet12:42 – Real World Examples Algorithms17:20 – Genetic Algorithms28:30 – Rishal’s Best Podcasts· Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/· Hidden Brian - https://www.npr.org/series/423302056/hidden-brain· Masters of Scale - https://mastersofscale.com/· Tim Irvine Blog Wait But Why - https://waitbutwhy.com/Connect with Rishal HurbansRishal Hurbans - https://rhurbans.com/Grokking AI Algorithms - https://www.manning.com/Connect 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. 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 Rishal Hurbans author of Grokking AI Algorithms, Solution Architect at Intellect, and founder at Prolific Idea in 2015. Al and Rishal talk about Rishal’s book Grokking AI Algorithms and its effect on ants and understanding algorithms. Show Notes4:04 – Bio Rhythmic Using Ants 8:04 – Knapsack Problem vs Algorithms9:02 – Mother and Father DNA10:29 – Silver Bullet12:42 – Real World Examples Algorithms17:20 – Genetic Algorithms28:30 – Rishal’s Best Podcasts· Ted Radio Hour - https://www.npr.org/programs/ted-radio-hour/· Hidden Brian - https://www.npr.org/series/423302056/hidden-brain· Masters of Scale - https://mastersofscale.com/· Tim Irvine Blog Wait But Why - https://waitbutwhy.com/Connect with Rishal HurbansRishal Hurbans - https://rhurbans.com/Grokking AI Algorithms - https://www.manning.com/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn. Producer Michael Sestak - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

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.Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, we have Simon Lightstone Co Managing Partner at Levion Partners. Al and Simon discuss the strategy of acquiring companies using AI, search funds, and the special sauce.Show Notes3:25: The Beginning5:23: Still Looking6:55: Search Fund7:29: Two Stages11:28: Creating a Search Fund15:13: Top Three16:18: Special Sauce16:55: The Process of the Secret Sauce20:10: Advice on First AI ProjectGrilled cheese blog - https://www.lifehack.org/349275/why-grilled-cheese-lovers-are-better-lifehttps://www.levionpartners.com/Connect with the TeamProducer Kate Brown - LinkedIn. Producer Meighann Helene - LinkedIn.Producer Michael Sestak - LinkedIn.Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.

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.Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. AbstractThis week on Making Data Simple, we have Simon Lightstone Co Managing Partner at Levion Partners. Al and Simon discuss the strategy of acquiring companies using AI, search funds, and the special sauce.Show Notes3:25: The Beginning5:23: Still Looking6:55: Search Fund7:29: Two Stages11:28: Creating a Search Fund15:13: Top Three16:18: Special Sauce16:55: The Process of the Secret Sauce20:10: Advice on First AI ProjectGrilled cheese blog - https://www.lifehack.org/349275/why-grilled-cheese-lovers-are-better-lifehttps://www.levionpartners.com/Connect 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. AbstractHosted by Al Martin, IBM VP of Data and A.I. Development, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.This week on Making Data Simple, we have Priya Srinivasan Director, IBM Data and AI Expert Labs SWAT. In this week’s podcast we talk about Data (world’s new oil), AI (world’s refinery), Cloud (the pipeline), Unified Governance and Data Ops, Security, Analytics and Services.Show Notes4:50 Expert labs and what it means5:52 Al talks how SWAT was for him6:10 Priya discusses SWAT now7:18 Priya gives examples of SWAT 9:04 Deliverables from Expert Labs13:37 Al talks about Services17:30 Priya talks about solving long term problems20:04 Priya discusses GROW (Guidance, Resources, and Outreach for Women)21:25 Al asks Priya what excites herLinkedin - https://www.linkedin.com/in/sripriya-srinivasan-385a0812/Twitter - https://twitter.com/Priyavikram2GROW - https://w3-connections.ibm.com/wikis/home?lang=en-us#!/wiki/W7e7074647e13_420c_9abf_875dd706e4b4/page/Welcome%20to%20GROW%20in%20Hybrid%20Cloud%20-%20Guidance,%20Resources,%20Outreach%20for%20Women%20in%20Hybrid%20CloudConnect with the TeamProducer Kate Brown - 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. 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 Priya Srinivasan Director, IBM Data and AI Expert Labs SWAT. In this week’s podcast we talk about Data (world’s new oil), AI (world’s refinery), Cloud (the pipeline), Unified Governance and Data Ops, Security, Analytics and Services.Show Notes4:50 Expert labs and what it means5:52 Al talks how SWAT was for him6:10 Priya discusses SWAT now7:18 Priya gives examples of SWAT 9:04 Deliverables from Expert Labs13:37 Al talks about Services17:30 Priya talks about solving long term problems20:04 Priya discusses GROW (Guidance, Resources, and Outreach for Women)21:25 Al asks Priya what excites herLinkedin - https://www.linkedin.com/in/sripriya-srinivasan-385a0812/Twitter - https://twitter.com/Priyavikram2GROW - https://w3-connections.ibm.com/wikis/home?lang=en-us#!/wiki/W7e7074647e13_420c_9abf_875dd706e4b4/page/Welcome%20to%20GROW%20in%20Hybrid%20Cloud%20-%20Guidance,%20Resources,%20Outreach%20for%20Women%20in%20Hybrid%20CloudConnect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedIn.Producer Meighann Helene - 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. AbstractThis week on Making Data Simple, we have Deborah Leff, Global Leader and Industry CTO, Data Science and AI Elite Team. Deborah is an Industry specialist for consumer and travel. In this week’s podcast we talk about demystifying AI and supporting customers around the world with Data Science and AI solutions.Show Notes1:10 Deborah explains the mission.2:46 Deborah talks about transformational technology14:36 American Airline reference on YouTube link - https://www.youtube.com/watch?v=t1PgNr8VMLc 13:24 Deborah Medium paper reference "AI Demands a New Perspective" - https://medium.com/@deborah.leff22:39 Deborah Instagram account - https://www.instagram.com/ deborah.leff23:50 and 26:04 Deborah LinkedIn page - https://www.linkedin.com/in/deborahleff/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedInHost 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. AbstractThis week on Making Data Simple, we have Deborah Leff, Global Leader and Industry CTO, Data Science and AI Elite Team. Deborah is an Industry specialist for consumer and travel. In this week’s podcast we talk about demystifying AI and supporting customers around the world with Data Science and AI solutions.Show Notes1:10 Deborah explains the mission.2:46 Deborah talks about transformational technology14:36 American Airline reference on YouTube link - https://www.youtube.com/watch?v=t1PgNr8VMLc 13:24 Deborah Medium paper reference "AI Demands a New Perspective" - https://medium.com/@deborah.leff22:39 Deborah Instagram account - https://www.instagram.com/ deborah.leff23:50 and 26:04 Deborah LinkedIn page - https://www.linkedin.com/in/deborahleff/Connect with the TeamProducer Kate Brown - LinkedIn.Producer Michael Sestak - LinkedInHost Al Martin - LinkedIn and Twitter.