Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
Learn about the extraordinary potential of predictive analytics for helping with prevention, wellness management, fraud detection and more in healthcare. Listen to this podcast featuring Findability Sciences Founder and CEO Anand Mahurkar and Shahid Shah, CEO at Netspective Communications and
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.
Join us for more insights from Insight as we discuss weather and the insight economy with new media broadcaster Nick DiMeo, host of the F5 Live: Refreshing Technology livecast and the IBMGO interview series.
Welcome to the Analytics Connections podcast, in which we explore the intersection of communications and analytics. Tune into this episode for a discussion about the path that is leading telecommunications to the insight economy.
Nearly every company wants to acquire more customers and keep them longer. Yet in some ways, that’s more challenging now than ever with so many options available to consumers. But there is also tremendous opportunity for companies that are using data and analytics in creative and innovative ways.
We just came out of the biggest retail season of the year. Holiday sales were reportedly softer than expected. Is this an indication that future retail growth will come from digital channels? Swanie Tolentino, Retail Solutions Leader at IBM, explains why she thinks digital growth will actually help
Security intelligence with big data is the ability to lower risk, detect fraud and monitor cyber security in real time. Organizations can augment and enhance cyber security and intelligence analysis platforms with big data technologies to process and analyze new types (e.g. social media, emails,
Marcus Hearne, predictive and business intelligence marketing manager, talks about changes to his daily coffee order, "bleeding data," and what those pieces of data means to a predictive analytics geek.
For more information about the IBM big data platform and products, visit www.ibm.com/bigdata
Claims fraud is a serious issue for insurance companies. Estimates are 10%-20% of claims are fraudulent. That costs the companies major money, and in turn, it causes costs to rise for consumers. Kim Minor, insurance industry marketing manager at IBM, explains how leading insurance companies are
Based on his recent blog post, “Why Static Stinks,” Tom Deutsch, program director of IBM big data portfolio, further explains why non-personal recommendations – or “static” – are bad. Deutsch states that it is important to understand not only the trends of consumers, but who they are as people,