Machine Learning in Governance, Business Risk Management and Compliance

On Wednesday, July 21, 2021

There is a large and growing array of Governance, Risk, and Compliance (GRC) requirements that differ across industries, countries, and sectors. Despite notable differences, all organizations have the common challenge of protecting their businesses from malicious attacks. BigML has organized an online event that presented how Machine Learning is playing a crucial role in protecting organizations from harm while redefining Governance, Business Risk Management, and Compliance across industries.

The conference covered why controlling the dynamic set of risks that your organization has to stand up to is key for your future prospects. You can watch now the video recordings to learn how Machine Learning is being applied in the Governance, Risk, and Compliance areas.

Audience Risk managers and advisers, governance professionals, compliance experts, C-Level executives across all industries, and those professionals interested in GRC are also welcome to watch the presentations we saw during the live conference.



Arnoud Engelfriet

Co Founder at Lynn Legal

Arnoud is a Dutch IT lawyer and patent attorney, with both a legal and IT technical background. After working as a patent attorney at Royal Philips for 10 years, he switched to private practice at ICTRecht Legal Services bv. The firm successfully spun out a legal tech business called JuriBlox bv that aims to automate legal document creation and review. Its deployment of AI for document review is now a startup under the name Lynn Legal B.V.

Atakan Cetinsoy

VP of Predictive Applications at BigML

Atakan has 20+ years of hi-tech product management and product marketing experience with both global brands and VC-funded startups including Apple, Yahoo!, FedEx, Strands, and Deem. At BigML, he works closely with customers and prospects in identifying predictive use cases, proposing Machine Learning solutions as well as deploying and measuring them. Atakan holds a B.S. degree in Electrical and Electronics Engineering from Bogazici University in Istanbul and an MBA from The University of Georgia’s Terry College of Business.

Jaymin Shah

CTO at MyVayda

19+ year career in Information Technology & Security spread across multiple geographies – US, Europe and APAC and industries – Banking, Media & Technology, Energy, Retail & Consumer Goods. Travel & Hospitality HealthCare & Life Science. Jaymin has led the full stack lifecycle implementation of Identity, Authentication & Authorization services for users across geographies. Architected and implemented X.509 certificate based two factor authentication solution for users based upon their domicile. He also provided advisory services on network segmentation practices & data security solutions for hybrid deployments. Steered initiatives for evaluating security solutions (Privileged Access Management, Security Incident and Event Management, Identity and Access Governance followed by design, architecture, implementation and operationalization of the short-listed solutions. Currently Jaymin as CTO, has full stack ownership development for MyVayda Digitally Integrated Identity as a Service- Security threat and Risk Management solution.

Jon Shende

Founding Investor at MyVayda

20+ years of technology experience commencing in the Oil and Gas Industry as a SCADA service engineer, before moving in Healthcare and LifeSciences to Telecommunications and Technology Services. Over the last 11 years he has worked as a Security and Cloud Leader at Ernst and Young before transitioning to Savvis a Global Cloud, Colo and Managed Services company as Managing Director during an acquisition by a larger Global Corp. Post this acquisition he took on a Global Security Leadership before moving to Ericsson and a Global Managing Director leading Systems Integration, Cloud and Security. More recently Jon was the Americas Head of Technology for a $16+ Billion Fortune 200 leading teams and technology delivery spanning IAM, Cloud, Data Privacy and Protection, Security Operations and Threat Management. Jon has a passion for Digital Forensics and created Cloud FraaS 10 years ago as a proof of concept for forensics within cloud services.

Thomas Alderse Baas

Co-Founder and Director of The Bowmen Group

After completing his MSc in Artificial Intelligence, researching data and text mining in Business Intelligence, Thomas began his career at IBM. Initially working with the IBM Cognos BI tools and later joining the IBM OpenPages professional services team, where he provided GRC consulting and technical leadership in delivering various GRC programmes for clients, including major banks, insurance companies and utility organisations. Thomas then joined RSA as Senior GRC Consultant for the RSA Archer GRC Platform, continuing to serve big size companies in various sectors across EMEA. In 2015 Thomas co-founded the Bowmen Group, who have gone onto successfully implement some of the largest, most complex and notable unified risk and compliance projects. Whilst still performing a Solution Architect and SME role, Thomas continues to build up and expand the Bowmen Group’s AI capabilities.

Thomas Rengersen

Product Owner GRC Tool for Rabobank

Thomas started his career as a sales representative in Investment Banking. Soon the focus shifted towards Risk Management, process optimisation and tooling migration. With the implementation of a new GRC tool within Rabobank, he set up the global reporting environment. Shortly after the scope got expanded to the ownership of the overall platform globally used within the bank and servicing over 8000 users.


Virtual and live sessions between 4:30 PM - 7:30 PM CEST / 10:30 AM - 1:30 PM EDT on Wednesday, July 21, 2021.

Opening Remarks
by MªJesús Alonso, BigML
Machine Learning in the Governance, Business Risk Management, and Compliance Sector
by Atakan Cetinsoy, BigML Slides
Cybersecurity versus Governance, Risk Management, and Compliance
by Jon Shende, MyVayda Slides
The Identity Risk and Cost Insights Platform for C-level Executives
by Jon Shende and Jaymin Shah, MyVayda
Supporting Human Decision Making for Regulatory Adherence with Machine Learning
by Thomas Alderse Baas, The Bowmen Group and Thomas Rengersen, Rabobank Slides
Machine Learning in Legal Automation: How to Trust a Lawyerbot
by Arnoud Engelfriet, Lynn Legal Slides
Panel and Q&A with the Speakers
Closing Remarks
by MªJesús Alonso, BigML

Organized by:


In collaboration with:

Bowmen Group ForenSec Global Lynn Legal Myvayda Rabobank