In this episode of the Finance in Focus podcast, listen as fintech experts Brett King, Matt Kinney and Bill Sullivan discuss the unique position fintech firms are in to drive the adoption of cognitive in the financial services industry.
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented
Historically, Master Data Management (MDM) projects have focused on creating a single view of the truth that can be consumed by business processes. Learn more about how the evolving need to utilize MDM serves as catalyst for a new solution extension offering a managed data preparation and data
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
Banks generate all kinds of reports, but not all of them can explain customer behavior or predict a customer’s next move. Find out how IBM Customer Insight for Banking uses cognitive analytics to give you vital insight into customer behavior, allowing you to predict financial events, prevent churn
Customers’ desires have changed dramatically through the years. Most notably, modern consumers expect organizations to know them—and, what’s more, to anticipate their needs. In such an environment, traditional approaches to customer segmentation are giving way to new methods of engaging with
This industry customer panel was recorded live on Wall Street at the IBM Forum for Financial Services in New York City on 20 September 2016. It includes comments on the business benefits of IBM Customer Insight Solutions from Pershing, Southern Farm Bureau, USAA and US Bank. IBM Customer Insight
A demonstration of the IBM Customer Insight solutions for banking, wealth management and insurance was recorded live on Wall Street at the IBM Forum for Financial Services in New York City on 20 September 2016. IBM Customer Insight solutions are based on industry-specific models and can effectively
Fintech products and innovative banking business models are creating a disruption upheaval in the global banking industry. Discover how retail banking can redefine business and operating models by offering innovative customer propositions through implementation of a big data–enabled recommendation
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
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
Banks are moving from a mobile-first mindset to an artificial intelligence–based approach in their quest to uncover the right insights in the right channels. This episode of Finance in Focus presents fintech experts David Gerbino, Matt Kinney and Jim Marous. They describe how successful financial
As they compete in the modern business environment, companies are increasingly looking to sophisticated analytics and cognitive capabilities to help them gain an deep understanding of what matters to their clients. By knowing their customers well, organizations can provide targeted, personalized
Create meaningful client connections. Unlock the potential in your data by analyzing data from many sources using sophisticated, prebuilt industry-designed analytical models; leveraging dynamic segmentation by analyzing client behavior; and predicting key client life and financial events to create