Spiraling costs, reliance on legacy tools and frightening cases of money laundering are driving the need for enhanced financial crime systems based on advanced analytics. Listen to counterfraud experts David Dixon, Clark Frogley and Maribeth Haynes as they cover these topics with a focus on
In this month's episode of First Line, Dr. Gary Nestler chats with Adam Crowe and William Moorhead, J.D. about how emergency management systems can apply big data and analytics to help first responders and key stakeholders.
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
According to a 2015 survey of 500 banking and finance executives, cybersecurity and fraud top the agendas of 80 percent of institutions—yet only 56 percent of executives believe that their own organizations have a handle on fraud threats. Counter fraud experts Wilson Davis and David Dixon, authors
Tony Boobier and Hugh Wallis discuss the impact of Solvency II regulations on the insurance industry in Europe. As of 2016, Solvency II requires mandatory risk reporting, but many European insurers face significant challenges handling the massive amounts of data they must submit to be in compliance
Listen as this week’s guest, Dr. Satyamoorthy Kabilan, director of national security and strategic foresight for the Conference Board of Canada, chats with Dr. Gary Nestler, an IBM global solutions leader for emergency management, on topics ranging from agency and organizational collaboration
Host Andrew Friedrich and guests Richard Stiennon and Michael Martin discuss how public sector organizations can defend themselves against ongoing cybersecurity threats, and emphasize the importance of analytics in preventing online attacks.
This week’s guest is Adam Crowe, author and Director of Emergency Preparedness at Virginia Commonwealth University, who chats with Dr. Gary Nestler, Associate Partner and Public Safety/Emergency Management Subject Matter Expert at IBM. Topics to be discussed include the challenges facing emergency
"Don't just get feedback—actually do something with the feedback you’re getting." - Rosetta Lue
Public Sector Talks is a new series of podcasts focused on the application of analytics to solve issues facing citizens.
Our guest this week
Rosetta Carrington Lue is an innovative leader with experience
Today's customers demand that you know them and deal with them as individuals rather than as part of a generic market. This requires new ways of truly understanding and engaging with them, and big data technologies play a key role in this.
Tom Deutsch, program director for big data and advanced
Industry analysts project that 30% of companies will “monetize their data” by 2016. But what does this mean? Many organizations are trying to figure out how to turn their data into a gold mine. The reality is each business is unique and data monetization projects should be customized to focus on a
In a recent article published on Information Age, Richard Lee said there is much discussion these days about data privacy and security, but precious little about trust. He expressed concern: "Trust is hard to achieve, easy to lose and almost impossible to regain." Richard joined us to discuss how
What is the "connected car"? How will we, as everyday drivers, benefit from it? How are trucking companies, fleet managers and insurance companies using the data from connected cars to save money and improve efficiency? Kimberly Madia, product marketing manager for IBM big data, explains all of
On a conference call hosted by IBM Information Management General Manager Bob Picciano, over 1000 participants listened to a Q and A led by IBM Vice President Martin J. Wildberger with Kent Collins, database solutions architect, of BNSF Railway. An early tester of DB2 BLU, Kent calls the BLU
Operations analysis, one of the top five use cases for big data, is about analyzing a variety of machine data to get improved business results. The key is combining machine and business data, which allows you to put insight right into the hands of the operational decision maker. In this podcast,