Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Noel Garry discuss how insurers that are outperforming competitors are transforming their business, based on information from the
How can a new generation of wealth management advisors enhance their offerings with advanced technology? Hear wealth management experts Alex Baghdjian, April Rudin and Bill Sullivan discuss cognitive technology for financial advisors that can automate mundane tasks and help them deliver enhanced
Applying cognitive technologies that understand, reason, learn and interact can improve the way insurers do business. Hear IBM insurance experts Christian Bieck and Stephen Mills discuss how outperforming insurers are rethinking insurance, based on information from the recent IBM Institute for
In this episode of the Finance in Focus podcast, listen as wealth management experts Marc Andrews and April Rudin discuss ways that financial institutions can use cognitive computing to find solid ground in shifting regulatory terrain.
Extraordinary costs of misconduct can be a daunting challenge for financial services institutions. In a recent episode of Finance in Focus, hear wealth management experts Marc Andrews and April Rudin discuss a cognitive and holistic solution for monitoring complex trading scenarios. Learn how it
IBM is out to transform how financial services organizations market, sell to and service their clients. IBM Watson, which has been transforming the healthcare industry, is now setting its sights on Wall Street. Tune in to hear Jim Marous describe the changing dynamics of the market as he outlines
In this podcast, Mark Myers (@MarkMyers360) explains the differences between typical google-type search and what a cognitive computing system like IBM Watson does. Mark gives several examples from everyday life that help illustrate how the two systems work separately and how they complement one
Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create