Ibm Analytics Insights Podcasts

This week, host Al Martin welcomes Rakesh Ranjan, the director of emerging technologies at IBM Data and AI. He also works on next gen-solutions at IBM and is involved with academia and research. Join us for a look at what's next in data and AI.  Check us out on:- YouTube- Apple Podcasts- Google Play Music- Spotify- TuneIn- Stitcher Show Notes00:00 - Check us out on YouTube and SoundCloud.00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.00:20 - Connect with Producer Rachit Sharma on LinkedIn.00:25 - Connect with Host Al Martin on LinkedIn and Twitter.00:40 - Connect with Rakesh Ranjan on LinkedIn and Twitter.09:30 - What is Db2 Augmented Data Explorer?18:55 - What is ICP for Data?30:00 - What is IBM Academic Initiative?

How did companies like Facebook and Airbnb get so big so fast? What can we learn from them? Why is data so important for growth? Nancy Hensley, Director of Strategy & Growth for IBM Hybrid Cloud, has the answers in this episode of Making Data Simple. Learn how you can use growth hacking strategies to build your business and why growth hacking isn't just for startups.Show Notes00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)00:36 Connect with Nancy Hensley on Twitter (@nancykoppdw) and LinkedIn (linkedin.com/in/nancyhensley)03:30 Explore The Growth Hacker: The next VP of Marketing by Andrew Chen here: http://bit.ly/104Xa0r 03:55 Read Hacking Growth by Sean Ellis & Morgan Brown here: http://growthhacker.com/04:55 Visit the Jagermeister website for more information on their company and product: https://www.jagermeister.com/en-CA (must be legal age)22:15 Find Hooked: How to Build Habit-Forming Products by Nir Eyal here: http://amzn.to/2geOTlp31:50 Find

Welcome to a new Making Data Simple series, Stories from the Field with Wennie Allen, IBM Data and AI. This series will focus on practical use cases of big data and A.I., enabling shared experiences and perspectives.  You can expect these field highlights every fourth episode of Making Data Simple.In this episode, Wennie talks to Brittany Bogle about her perspective as a professional data scientist. Informed by her experiences helping business clients adopt AI, Brittany shares real-life problems organizations face when implementing an AI and machine learning (ML) solution.Listen for some delightful surprises and insights in dealing with big data and real-time requirements in fraud detection, prediction and prevention. Discover why AI/ML success is a team sport. Finally, are you looking to build or expand your data science team? Consider some criteria and guidelines that will improve your team’s effectiveness.

In this episode of Making Data Simple we hear insights from IBM Machine Learning Hub data scientists Jorge A. Castañón and Óscar Lara-Yejas as they discuss what machine learning is and is not. They also answer the most controversial question today: Will machines take our jobs? Listen to find out!Show Notes00:25 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)02:10 Connect with Jorge A. Castañón on Twitter (@castanan) and LinkedIn (linkedin.com/in/jorgecasta)02:45 Connect with Óscar Lara-Yejas on LinkedIn (linkedin.com/in/óscar-lara-yejas-36700058)10:10 Tweet to Ginni Rometty @GinniRometty and read more about her here: https://www.ibm.com/ibm/ginni/11:00 Listen to "Machine Learning" by Business Daily here: http://www.bbc.co.uk/programmes/p050db6316:45 Watch Neo Yokio on Netflix https://www.netflix.com/browse31:50 Find Michael Lewis "The Undoing Project: A Friendship That Changed Our Minds" here: http://amzn.to/2yr5Dgv35:55 Find "The Greatest Sh

This week host Al Martin welcomes Greg Bonnette, who is Vice President of Data & Analytics Strategy at Ironside. He comes on the show to discuss more in depth about his role engaging with clients, striving to find appropriate business solutions to their data problems. Discover typical industry issues and hear how Greg overcomes, in this week's episode.Check us out on: - YouTube - Apple Podcasts - Google Play Music - Spotify - TuneIn - Stitcher Show Notes00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.   00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.   00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter.00:40 - Connect with Greg on LinkedIn and Twitter.04:25 – What is Ironside?21:27 - Learn about Watson Machine Learning and A.I. Modelling.41:39 - Learn about Daniel Kahneman and his book, Thinking Fast or Slow.

How do you provide answers to clients prior to them asking? What do you do with an abundance of client data?In this episode of Making Data Simple, Tracy Bolot, Director of Digital Client Support for Analytics at IBM, talks about how to maximize teamwork and strengths to enrich your clients' experience.Show Notes00:15 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)00:30 Connect with Tracy Bolot on LinkedIn(linkedin.com/in/tracy-bolot-992a6b4a)01:30 Link to Global Elite?04:00 Lean more about the Informix Software13:40 Check out Turbotax 27:20 Click here to learn more about information sharing and governance at IBM 

This week on Making Data Simple, Dinesh Nirmal comes on the show to discuss current industry trends. Host Al Martin poses questions that are both technical and leadership oriented. Together, they discuss the new, emerging technologies that drives them while providing their own definitions of team building and success. Listen, engage, react. Give us your feedback and get in on the conversation. Show NotesCheck us out on:- YouTube- Apple Podcasts- Google Play Music- Spotify- TuneIn- Stitcher00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 01:37 - Connect with Dinesh Nirmal on LinkedIn and Twitter.06:06 - An interesting read on the state of illegal dumping in rural California11:14 - Some examples of successful AI uses cases.14:31 - Learn about blockchain here.29:06 - Find out how open source is helping remove data

In an ever-changing and growing age of data and technology, how can you turn data into better decisions for your company? How do you keep up? Is there a recipe for greatness? In this podcast, Rob Thomas, General Manager of Analytics at IBM, discusses data, tech companies and his two books, Big Data Revolution and The End of Tech Companies. "A crisis has arrived whether you know it or not." What are you doing to prepare?Show Notes00:30 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)01:00  Connect with Rob Thomas on Twitter (@robdthomas) and LinkedIn (linkedin.com/in/robertdthomas) and read more of his work on his blog https://www.robdthomas.com/02:30 Big Data Revolution By Rob Thomas & Patrick McSharry, The End of Tech Companies by Rob Thomas04:35 Find Rob Thomas' first blog post here: https://www.robdthomas.com/robdthomas//2013/02/patterns-in-big-data.html05:30 Connect with Dr. Patrick E McSharry on LinkedIn linkedin.com/in/mcsharry, his personal w

Guy Taylor, Head of Data & Data Driven Intelligence at Nedbank, comes on the show to discuss the state of the industry, machine learning practices, and why you should add a South African safari to your bucket list! Suit up for an incredibly engaging conversation.Show NotesCheck us out on:- YouTube- Apple Podcasts- Google Play Music- Spotify- TuneIn- Stitcher00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:58 - Connect with Guy Taylor on LinkedIn.01:00 - Connect with Nedbank on Twitter.01:49 - What is data driven intelligence? Click here to learn more.03:03 - South Africa has 11 official languages! Click the link to learn more.04:30 - Here are the 20 most beautiful places in South Africa.10:35 - "Culture eats strategy for breakfast". Check out a related Forbes article here.14:23 - Check out cal

In this first episode of Making Data Simple, host Al Martin welcomes Daniel Hernandez, Vice President of IBM Analytics Offering Management, who helps us navigate "the big data problem" and shares why he doesn't like the term "big data."Show Notes:01:30 Connect with Al Martin on Twitter (@amartin_v) and LinkedIn (linkedin.com/in/al-martin-ku)04:30 Connect with Daniel Hernandez on Twitter (@danhernandezATX) and LinkedIn (linkedin.com/in/danielghernandez)06:15 NPS = Net Promoter Score (http://www.medallia.com/net-promoter-score/)08:40 The four Vs of Big Data (http://www.ibmbigdatahub.com/infographic/four-vs-big-data)17:30 Accidental Empires written by Robert X. Cringely (1996), Dealers of Lightening: Xerox PARC and the Dawn of the Computer Age, written by Michael A Hiltzik (2000)

On this episode, host Al Martin welcomes Michael Sestak, who is a creative media director at IBM. He and Al discuss his role in-depth. Listen to learn what sources of inspiration Michael draws from, and how data and the creative process collide.Show notesCheck us out on:- YouTube- Apple Podcasts- Google Play Music- Spotify- TuneIn- Stitcher00:00 - Check us out on YouTube and SoundCloud.00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.00:20 - Connect with Producer Rachit Sharma on LinkedIn.00:25 - Connect with Host Al Martin on LinkedIn and Twitter.00:40 - Connect with Michael Sestak on LinkedIn.07:30 - Project Management.12:00 - UStream IBM.20:00 - Future of Video with Watson.

Al Martin is joined this week by guest Jean-Georges Perrin, Director of Engineering at weexperience. Together, they discuss — and compare — Apache Spark and Hadoop, and explain what it means to hold the title of IBM Champion.Show NotesCheck us out on:- YouTube- Apple Podcasts- Google Play Music- Spotify- TuneIn- Stitcher00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 02:07 - Connect with Jean-Georges Perrin on LinkedIn and Twitter, and check out his website.13:14 - Check out Jean-Georges' book on Apache Spark.24:38 - What does it mean to be an IBM Champion?

This week, host Al Martin welcomes IBMers Reena Ganga and Jenna Goldberg. Reena and Jenna both serve as senior designers working at the intersection of Augmented Reality and Big Data. Both are passionate advocates for user experience design and the Design Thinking method, determined to improve — and illuminate — the way we experience and understand data.Check us out on:- YouTube - Apple Podcasts- Google Play Music- Spotify- TuneIn- StitcherShow Notes00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:40 - Connect with Rena on LinkedIn & Twitter.00:45 - Connect with Jenna on LinkedIn & Twitter. 08:40 - What is User Experience Design (UXD)?12:40 - What is Data Visualization?17:00 - What is Augmented Reality (AR)?

This week on the Making Data Simple podcast, Al Martin welcomes two guests from within IBM: Vijay Bommireddipalli is head of development CODAIT, the Center for Open-Source Data & AI Technologies. And Gabriela de Queiroz is a senior engineering and data science manager. Together, the three discuss the importance of open-source software solutions, along with the tools they use in everyday development. Gear up for a technical conversation that will challenge your perspective on what it means for something to be open-source — and why it matters.Check us out on:- YouTube - Apple Podcasts- Google Play Music- Spotify- TuneIn- StitcherShow Notes00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 01:51 - Connect with Vijay on LinkedIn.02:40 - Connect with Gabriela on LinkedIn.03:12 - Not sure what open-source is? Find

In this episode, host Al Martin continues with part two of his conversation with Janine Sneed about her two roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. Janine discusses her involvement with the GROW initiative and offers practical advice for career and life.-----------------------------------------------------------------------------------Show notes:00:00 - Check us out on YouTube and SoundCloud.00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.00:20 - Connect with Producer Rachit Sharma on LinkedIn.00:25 - Connect with Host Al Martin on LinkedIn and Twitter.00:40 - Connect with Janine Sneed on LinkedIn and Twitter.04:00 - Check out this great overview of AI.04:30 - What is Data governance framework?16:30 - Connect with Rob Thomas.

In part 1 of a part 2 series, host Al Martin peels the onion with Janine Sneed. Bold, energetic, passionate, and results-driven, Janine serves in two distinct roles at IBM: Chief Digital Officer and VP of Customer Success for IBM Data and AI. This week, Janine and Al look at product management, customer success, and digital transformation.-----------------------------------------------------------------------------------Shownotes: 00:00 - Check us out on YouTube and SoundCloud.00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter.00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter.00:20 - Connect with Producer Rachit Sharma on LinkedIn.00:25 - Connect with Host Al Martin on LinkedIn and Twitter.00:40 - Connect with Janine Sneed on LinkedIn and Twitter.03:03 - Product Management.06:25 - Customer Success.09:20 - Digital Transformation.27:38 - Customer Journey Maps.

In part 2 of this two-part series, host Al Martin welcomes back Rob Thomas, GM of IBM Data and AI. The conversation ranges across the latest trends in enterprise analytics, how to tell the truth from the hype, and Rob’s own strategies for staying current, connected, and engaged in this fast-changing space.----------------------------Show Notes00:00 - Missed part 1? Catch up with the conversation here.00:05 - Check us out on YouTube and SoundCloud. 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:52 - Connect with Rob Thomas on LinkedIn and Twitter.01:02 - Check out Rob's article on Watson Anywhere here. 02:03 - There is now proof that quantum computing can now boost machine learning! Read more here.05:17 - Your team needs a compass, not a map.10:00 - Warren Buffet and Mark Cuban agree, reading is like

Rob Thomas, leader of IBM’s Data and AI division, talks with host Al Martin about the need to de-mystify AI. In particular, Rob recommends a "fail fast" approach to data science: run wide-ranging but short-term experiments — and expect disappointment on the way to insight. This episode offers a host of such suggestions, plus thoughtful leadership advice and tips for motivation. Part 1 of 2.---------------------------Show Notes00:00 - Check us out on YouTube and SoundCloud. 00:10 - Connect with Producer Steve Moore on LinkedIn and Twitter. 00:15 - Connect with Producer Liam Seston on LinkedIn and Twitter. 00:20 - Connect with Producer Rachit Sharma on LinkedIn. 00:25 - Connect with Host Al Martin on LinkedIn and Twitter. 00:55 - Connect with Rob Thomas on LinkedIn and Twitter.04:01 - Discover what big data and A.I. have in store. 06:22 - Learn more about IBM's Think conference here.06:48 - Read more on Watson anywhere here.10:24 - There is no A.I. without I.A.23:21 - Check out Al's talk at

This week, host Al Martin goes deep with Madhu Kochar and Hemanth Manda, two leaders of product development from the IBM Data and AI team. They discuss the future foundations of digital business -- in particular, the coming age of multicloud and how organizations will contend with data and workloads on cloud systems that span geographies, vendors, and diverse rules for governance. The conversation turns to the need for a data platform that can foster AI initiatives across these diverse environments.----------------------------------------------------------------------------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. 00:40 - Connect with Hemanth Manda on LinkedIn.00:45 - Connect with Madhu Kochar on LinkedIn.05:48 – What is Multicloud?11:38 –

Matthias Funke and Thomas Chu lead the team shaping IBM's strategy for hybrid data management. They join host Al Martin for a deep dive into trends around data management across cloud environments — from private, to public, to multicloud. Matthias and Thomas each started as software developers in the trenches of data and analytics, and they bring that knowledge of fundamentals to their work with large organizations  in the grip of rapid change.----------------------------Shownotes00:00 - 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 01:25 - Connect with Matthias Funke on LinkedIn02:29 - Connect with Thomas Chu on LinkedIn10:02 - Prepare your data for AI.19:25 - What is data efficiency? 22:01 - What is cloud computing?