AI’s ability to process large volumes of data with speed and accuracy can potentially transform regulatory compliance — but not without attendant risk and challenges. In the short term, the technology can be used to assist business leaders to understand compliance requirements easily and take apposite action, but circumventing human intelligence and our ability to think ethically and abstractly makes AI’s role in compliance controversial and complex.
Using Analytics to Gain a Competitive Edge Predictive analytics is quickly changing the way businesses effectively allocate their budgets and gain their edge over competitors. However, even companies with highly sophisticated predictive analytics programs still often run into challenges. Here are some ways to leverage your predictive analytics model by ...
Read moreKey Findings from Dun & Bradstreet Report Brian Alster, Global Head of Supply & Compliance at Dun & Bradstreet, outlines results from the Dun & Bradstreet 2018 Compliance and Procurement Sentiment Report. With data gleaned from business leaders across compliance and procurement functions, he discusses the top concerns and challenges ...
Read moreShifting from Traditional to Digital Contract Terms By leveraging digital technology, outsourcing providers … This is a fundamental change in outsourcing that will require fundamentally different contract terms. Brad Peterson discusses the difference between traditional and digital contract terms in this video. Here, Rebecca Eisner, Daniel Masur and Brad Peterson ...
Read moreQ&A with Charles Weeden, Managing Partner at 17a-4, llc Charles Weeden is Founder and Managing Partner of e-communications compliance technology firm, 17a-4, llc. Last month, we shared a piece by Charles on how technology can be used to streamline compliance. Today, we share details on Charles’ background, as well as ...
Read moreHow to Overcome Technological Roadblocks What a time to work in the GRC field: new technologies are constantly emerging to help companies meet their regulatory obligations. At the same time, many fragmented requirements have piled up over time. Chris Ekonomidis, Head of U.S. Business Consulting at Synechron, discusses the three ...
Read moreEmbracing New Technologies Fenergo’s Laura Glynn discusses how banks around the world are embracing a more digitalized and transformative approach to compliance and, indeed, client life cycle management. Read Part 1. The global financial services industry is currently on the brink of a massive technological disruption. Financial institutions are now ...
Read moreThe Value of Big Data A crucial shift is underway in the financial services industry when it comes to regulatory compliance; cultures are changing, and new value is being created for banks and their customers because of AI technology. Grace Brasington of Watson Financial Services discusses the role technology can ...
Read morePutting Plans Into Effect As tech evolves, so too does the compliance landscape, and keeping up can prove quite the challenge for many businesses. Here, we share trends and predictions from Anthony West, CTO at Actiance and an expert in electronic communications compliance. While 2017 was spent frantically preparing for ...
Read moreDriving Down Risk, From the Cubicle to the C-Suite Effective employee engagement and reporting is key to accountability and effective risk management. So why are we not paying more attention to how today's workforce prefers to communicate? with co-author Jay R. Taylor, CEO of EagleNext Advisors We are entering an ...
Read moreThe Inherent Risk (and Reward) of Innovation This year, cybersecurity officers must rethink their end-to-end security ecosystem. Top priority will be identifying and addressing evolving vulnerabilities to people, processes, technologies and service providers. It's time both to re-evaluate the overarching security strategy and to take a more security-minded approach from ...
Read moreLike Achilles or Sampson, the power and potential of AI has a weakness, a vulnerability. In the case of financial services that weakness is its opacity. In general, the better the machine learning system, the blacker the box - that is, the harder it is to decipher what is going ...
Read moreThe advances in technology in recent years have led to an exponential increase in the volume of data collected and stored. How can investigators maximize data analytics to achieve the most effective—and efficient—results for their clients? The answer lies in harnessing the power of AI to augment the capability and ...
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