Making Data Simple

IBM Big Data & Analytics Hub
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Oct 7, 2020 • 29min

[Part 1] Lynne Snead discusses leadership, coaching and being your best self and mixing that in with data

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 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. 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.
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Sep 30, 2020 • 38min

Amy discusses data analysis and models used in the science of fires

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 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. 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.
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Sep 23, 2020 • 43min

Dr. Lee helps us understand Quantum Computing as a new technology

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 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. 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.
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Sep 16, 2020 • 33min

[Replay] - Covid-19 interview with Dr. Kyu Rhee

Send us a textHosted 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. 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.
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Sep 9, 2020 • 35min

[Replay] - Finding New A.I. Use Cases with Paul Zikopoulos

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. 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. 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.
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Sep 2, 2020 • 46min

Carlo and Wennie discuss how do we get people to adopt AI

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.
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Aug 26, 2020 • 36min

Scott discusses making data fun and simple in data management.

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.
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Aug 19, 2020 • 41min

[Replay] - Data Collaboration and A.I. with Adam Weinstein - Making Data Simple [Season 3 - Episode 3]

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.
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Aug 12, 2020 • 44min

Ritika talks about her roles at IBM and AI and services for clients.

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.
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Aug 5, 2020 • 46min

Debbie discusses her education and background to making science approachable

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.

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