While very powerful, Artificial Intelligence (AI) is often misunderstood and broadly applied to solve problems that may not be a fit for the technology. In banking and finance, compliance pressure and the associated costs have grown exponentially in recent years instigating a search for effective solutions. Unfortunately, AI is becoming the hammer used against almost every compliance nail.
Webinar: Cost of Vendor Management
Join us on Thursday February 28th at 12 Noon EST as we study the true cost of vendor management. During this webinar, we will take a look at the tactical costs of interacting and transacting with Third Parties as well as make a case to consider a well designed vendor management program a valuable asset.
Topics to be covered:
Definition of Vendor/Third Party
Vendor On-Boarding Best Practices
Vendor Monitoring Policies
Results of Trust Exchange Vendor Management Cost Study
Analysis of Results and ROI
Impact of Collaboration..Value Creation
This will be following by a Question and Answer session. Additionally, we may be joined by an industry expect to share their experience. Don’t miss this one!
Save the Date-Vendor Management Webinar Jan 17-2pm EST
A.I. vs. the Smart Crowd
Trust Exchange Speaking at Risk Management Association's Governance, Compliance and Operational Risk Conference
Next week, I'm speaking in Boston on April 18th and 19th, at the Risk Management Association's Governance, Compliance and Operational Risk Conference. I'm speaking on a topic that is very familiar to me but may be a tad bit controversial for the typical Risk Management Professional. The Topic: How Collaborative Compliance Overcomes the Limitations of Artificial Intelligence.
Artificial Intelligence has been over-hyped to the point where it is thought of as a cure-all. In fact, some claim computerized superhuman intelligence is just around the corner. So powerful, that AI-powered computers and robots will take all of our jobs! This is simply not the case. Ai has a LOT of limitations. It is powerful but in a very specific set of applications.
Artificial Intelligence works well when both the data being analyzed and the analysis rules are static. OCR, Gaming, Diagnosis and Speech Recognition are all good examples of AI working at scale. AI is a way to super scale LINEAR problems. However, Operational Risk Management and Regulatory Compliance are fields wrought with redundant manual processes that chase and verify rapidly changing data. They are EXPONENTIAL problems.
In my talk next week, “Compliance in an Exponential World: The Role of Artificial Intelligence and Curated Crowdsourcing in the Future of Compliance,” I will explore the use cases and limitations of Artificial Intelligence for managing risk and compliance and compare it to Trust Exchange’s unique Collaborative Compliance solution.
If you're attending, drop me a line here: http://www.trustexchange.com/GCOR