Rank #1: Data science, machine learning and the CDO - An expert discussion
Experts share their on-the-ground impressions of the IBM Chief Data Officer Summit, the perception of the CDO role amongst audience participants, and discuss how data science and the chief data officer role interact.
Rank #2: Making Data Simple: Machine Learning for Dummies
Kick off 2018 by exploring machine learning and what it can do for your business. The authors of Machine Learning for Dummies – Judith Hurwitz, and Daniel Kirsch – are here to help you. In this episode, Judith, Daniel and Al discuss the state of machine learning today, how to use it to advance your business as well as discoveries they made while writing their book. Learn how small and large businesses alike can find insights from data to enhance relationships with customers. We’ll also share where you can get a copy of Machine Learning for Dummies at no cost.
Rank #3: Finance in Focus: What is investment account aggregation?
Tune in to this podcast to hear Margaret Hartigan and Lowell Putnam, the respective CEOs of Marstone and Quovo, discuss how their companies’ solutions use account aggregation to give financial investors a holistic view of clients. Moderator Rob Stanich and host Alex Baghdjian will join these CEOs in describing why account aggregation is one of the hottest wealth management topics in 2016, leaving you wondering why this intuitive model took so long to take hold.
Rank #4: Finance in Focus: What cognitive computing can do for insurance
When considering how to adapt to technology, the insurance industry can look to benefits reaped by the financial industry. In this episode of Finance in Focus, hear insurance experts Kathy Hutson and Sebastien Meunier discuss the opportunities cognitive computing can bring to the insurance industry.
Rank #5: Finance in Focus: The science of customer insight
In this episode of Finance in Focus, banking experts Likhit Wagle and Boxley Llewellyn describe how banks can use the science of customer insight to take costs out of their business, provide superior customer experiences and work smoothly with fintech start-ups.
Rank #6: Making Data Simple: Data in the automotive industry
Host Al Martin, IBM VP of hybrid data management and client success discusses new technology innovations within the automotive industry. Ben Amamba, Chief Innovation Officer (CINO) for Industrial Sector, Watson & Cloud Platform, and David Kevnick, IBM cloud technical sales leader - US Industrial Market bring their expertise to the discussion. The conversation ranges from discussing the emergence of artificially intelligent vehicles, to marketing towards the millennial generation for a vehicle sale.
Rank #7: Finance in Focus: IBM Watson financial services
IBM Watson and financial services go hand in hand at IBM Insight at World of Watson 2016. Tune into this podcast to hear Jim Gahagan, Kim Minor and Susan Visser discuss the banking, insurance and wealth management sessions available at IBM Insight at World of Watson 2016 that serve as your guides for this year’s conference. This event brings together industry thought leaders and showcases technologies designed to transform your business through the power of cognitive computing.
Rank #8: Making Data Simple: The big data problem
In this first episode of Making Data Simple, we welcome Daniel Hernandez, VP of IBM Analytics Offering Management, who helps us navigate "the big data problem" and shares why he doesn't like the term "big data."
Rank #9: Shooting Down Myths about Data Scientists
"Data scientist" has been called the "sexiest job of the 21st century," but what exactly is a data scientist and what does one do? Big Data Evangelist James Kobielus explains by way of shooting down 10 myths about the role. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata For more podcasts, blogs and videos, visit www.ibmbigdatahub.com
Rank #10: Expert advice on data science: the rules of the game
What happens when you gather experts in a room, give them a few questions to get them started, then let them go? You get an informative, spirited discussion like this one.
Rank #11: How is open source transforming streaming analytics?
Open source is a disruptor that never quits. It seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to David Taieb, a cloud data services developer advocate at IBM, share his expert perspective on how open source initiatives are transforming streaming analytics.
Rank #12: Debugging the Spark Python API: Why is a Java Virtual Machine stack trace in my Python?
Holden Karau is a software engineer at IBM, an active open source contributor and coauthor of Learning Spark (O'Reilly Media, February 2015) and the soon to be released High Performance Spark (O'Reilly Media, March 2017). In this podcast, Karau examines how to effectively search logs from Apache Spark to spot common problems. She will speak on this topic on Thursday, 9 February 2017, at 12:20 p.m. Eastern in Ballroom B at Spark Summit East 2017.
Rank #13: Get SMART with big data and analytics
Bernard Marr, one of the world’s top experts in big data and analytics strategy, made a return visit to our podcast to explain his vision of "SMART big data, analytics and metrics." You may be surprised to learn that he doesn't really like "big data." In fact, he says "the challenge is to build the smallest database with the most valuable information." Bernard shares interesting anecdotes he has gathered in working with clients and tells why he is excited about a smart yoga mat.
Rank #14: Real-world Use of Big Data in Retail
Swanie Tolentino, retail big data solutions & marketing leader at IBM, discusses key points from a research study titled, "The Real-world use of Big Data in Retail: How Innovative Retailers Extract Value from Uncertain Data." She also relates examples of how retailers are using big data and analytics to execute their strategies to acquire more customers and retain the ones they have. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata
Rank #15: In the age of data: Killer data, part 1
Large companies that want to prevent being outflanked by more agile, smaller firms can adopt a new organizational and strategic lifestyle. Listen to a general discussion of Chunka Mui’s book, The New Killer Apps: How Large Companies Can Out-Innovate Start-Ups (Cornerloft Press, December 2013) in this podcast.
Rank #16: Intelligent cloud: Best practices for public safety
When modern law enforcement agencies require the ability to do advanced analytics in an environment of mobility and collaboration, they are increasingly relying on cloud capabilities. Learn why in this discussion between Morgan Wright and experts from IBM and Microsoft.
Rank #17: Pushing the frontiers: CFO insights from the global C-suite study
Since 2003, the IBM Institute for Business Value has conducted more than 23,000 interviews around the world with people representing all roles of the C Suite, including chief officers in finance, marketing, IT and of course, chief executive officers. A newly published report titled “Pushing the frontiers: CFO insights from the global C-Suite study,” draws input from nearly 4,200 of these top officers representing more than 20 industries.
Rank #18: 6 trends in big data and analytics
Through talking with some 3000 clients, prospects and industry leaders, Inhi Cho, the vice president and general manager of Big Data, Integration, & Governance at IBM, and her team have identified 6 important trends that are driving big data forward.
Rank #19: Master Data Management: The Foundation for Big Data
Master data management has been around for many years. Now, with the emergence of big data technologies, MDM is seeing a resurgence in popularity and importance. Rick Clements, program director of Master Data Management Product Marketing, explains why MDM is a foundational aspect of a big data platform and how the two technologies work together to solve business challenges. For more information about the IBM big data platform and products, visit www.ibm.com/bigdata
Rank #20: Finance in Focus: How predictive weather data is transforming the insurance industry
Listen to Kim Minor and Andy Rice discuss how combining analytics and weather data could transform the insurance industry, and learn how a timely alert from your insurance company could help you protect your family and assets from damaging weather events.