Talks

See a map of all the places I've given a presentation!



Upcoming talks:


RVA Tech Talks

May 17, 2020

Presentation, RVA Tech Talks, Richmond, Virginia

Andrew Clark is a co-founder and Chief Technology Officer of a machine learning assurance company called Monitaur. Monitaur is a Machine Learning Assurance platform addressing the needs of companies using models to make decisions in regulated…

Talk Python to me podcast: Episode #261: Monitoring and auditing machine learning

April 25, 2020

Presentation, Talk Python to Me, Richmond, Virginia

Traditionally, when we have depended upon software to make a decision with real-world implications, that software was deterministic. It had some inputs, a few if statements, and we could point to the exact line of code where the decision was made. And the same inputs lead to the same decisions.

Best Practices for AWS and IT Audit

August 20, 2019

Presentation, Middle Tennessee Chapter of ISACA, Franklin, Tennessee

​Cloud computing is becoming more prevalent as more enterprises embrace the public cloud and adopt it for some, if not all, of their computing and storage needs. This presentation will go over best practices for enterprise-grade AWS deployment and the risks associated with a cloud computing environment.

Blockchain for Auditors

July 16, 2019

Presentation, MISTI ITAC, Arlington, Virginia

​Blockchain is a revolutionary technology for some industries and applications, however it is commonly misunderstand and confused with the cryptocurrency Bitcoin. Blockchain is the underlying technology that makes Bitcoin and other cryptocurrencies possible, but it can be used for much more than cryptocurrencies alone. This presentation explains what Blockchain is, how it works and expounds on the uses of blockchain technology outside of cryptocurrencies in order to equip IT auditors with the knowledge they need to advise their companies on blockchain implementations. Blockchain has several very real uses cases, such as in logistics and financial payments clearing, however there is a lot of misleading or false information out there. The basics between what a public and private blockchain is, how the chain operates, what are miners, what security considerations exist, etc. will be discussed, along with an overview of how to audit this technology.

The Machine Learning Audit

May 15, 2019

Presentation, University of Tulsa Conference of Accountants, Tulsa, Oklahoma

As it gains wider adoption, what does machine learning mean for internal auditors and their organizations? With the proliferation of buzzwords and the black box nature of machine learning, Mr. Clark will help you cut through the noise and understand what fundamental changes are occurring and what is still more hype than reality. The session will include an overview of what machine learning is, examine its current and potential impact on industries and organizations, and explain the need for an objective audit. The presentation will conclude with an example of what a machine learning audit would consist of, and what steps would be required to perform one.

AWS for Auditors

May 14, 2019

Presentation, ISACA NACACS, Anaheim, California

Cloud computing is becoming more prevalent as more enterprises embrace the public cloud and adopt it for some if not all of their computing and storage needs. This presentation will go over best practices for an enterprise grade AWS deployment.

Machine Learning Risk Management

April 25, 2019

Presentation, RVA Data Science Community, Richmond, Virginia

Machine learning algorithms are permeating our world. With applications in banking, investing, social media, advertising, and crime prevention, to name a few, these little black boxes are increasingly being used to inform and drive decisions about our lives and businesses. Machine Learning Risk Management is an often overlooked aspect of creating, deploying, and monitoring machine learning applications. Andrew will explain the dangers associated with an absence of controls during the machine learning process. He will then demonstrate how controls prevent modeling biases and suggest ways to develop and deploy machine learning applications with a control-centric, engineered approach.

Big Data and other Buzzwords

April 03, 2019

Presentation, MAPI, Chicago, Illinois

With so much noise and buzzwords floating around regarding data analytics, it can be rather difficult to decipher between the signal (what is worthwhile) and what is only talk. Sometimes the rhetoric even starts within your organization, confounding the issue further. During Andrew’s session, he will provide attendees with the knowledge they need to tune out the bogus information while gleaning valuable insights for developing and deploying their audit analytics program. The presentation will conclude with tangible examples of a successful Manufacturing Audit Analytics program, and recommendations for how to get yours up and running. After attending, participants will be able to articulate how steps for setting up an analytics program within their departments, as well be armed with knowledge for educating senior leadership on the fundamental changes in technology that are occurring, and what is just marketing.

Machine Learning: What Assurance Professionals Need to Know

November 01, 2018

Presentation, ISACA Webinar, Richmond, Virginia

Machine learning has evolved past an esoteric technique worked on by academics and research institutes into a viable technology being deployed at many companies. Machine learning has been significantly changing the competitive landscape of business models worldwide, contributing to the demise of established business, such as Blockbuster, to creating entirely new businesses, such as algorithmic advertising. This presentation strives to address the questions of what assurance professionals need to know about this technology and how to provide assurance around machine learning implementations and its unique risks.

Reinventing Auditing with Machine Learning

September 03, 2018

Presentation, REWORK - AI in Finance Summit, New York City, New York

Internal Audit is responsible for providing the 3rd line of defense assurance over the effectiveness of controls in mitigating enterprise risks. We are primarily a judgment-based operation, relying on “humanness” to ascertain if risks are sufficiently being mitigated. This sort of environment makes it difficult to employ machine learning, given the ambiguity of decisions and the need for interpretability to back up decisions that were made. However, these limitations give us the ability to become more imaginative, finding unique ways to employ machine learning. In this talk, Andrew will provide two examples of prototypes being used in audit, an unsupervised machine learning exploratory “clustering” environment to provide insight into looking at data in new ways; and a supervised NLP model that classifies audit reports into different classes for use in reporting.

Machine Learning for Auditors

April 30, 2018

Presentation, ISACA North American CACS 2018, Chicago, Illinois

Machine learning is permeating our world. As it gains wider adoption, what does it mean for assurance professionals? This session will help you cut through the buzzwords and discover how machine learning can be leveraged in audit and compliance.

Active Directory for Auditors

April 30, 2018

Presentation, ISACA North American CACS 2018, Chicago, Illinois

Active Directory is audited loosely during SOX and ITGC audits, however, it is misunderstood and often audited ineffectively and inefficiently. This presentation will provide an overview of Active Directory design and guidelines for auditing it.

The Machine Learning Audit - keynote

December 01, 2017

Presentation, MIS ITAC 2017, Austin, Texas

As it gains wider adoption, what does machine learning mean for internal auditors and their organizations? With the proliferation of buzzwords and the black box nature of machine learning, Mr. Clark will help you cut through the noise and understand what fundamental changes are occurring and what is still more hype than reality. The session will include an overview of what machine learning is, examine its current and potential impact on industries and organizations, and explain the need for an objective audit. The presentation will conclude with an example of what a machine learning audit would consist of, and what steps would be required to perform one.

The Machine Learning Audit

October 27, 2017

Presentation, Dallas IIA SuperConference, Dallas, Texas

As it gains wider adoption, what does machine learning mean for internal auditors and their organizations? With the proliferation of buzzwords and the black box nature of machine learning, Mr. Clark will help you cut through the noise and understand what fundamental changes are occurring and what is still more hype than reality. The session will include an overview of what machine learning is, examine its current and potential impact on industries and organizations, and explain the need for an objective audit. The presentation will conclude with an example of what a machine learning audit would consist of, and what steps would be required to perform one.

Where Open Source Meets Audit Analytics

May 02, 2017

Presentation, ISACA North America CACS, Las Vegas, Nevada

Open source software is taking the computer science community and IT departments by storm. The breadth of options, the timeliness of updates, the price, and the sense of community are all contributing factors to the rise of open source computing. For many years audit analytics has been confined to the Computer Assisted Auditing Techniques, CAAT, software vendors ACL, IDEA and now Arbutus. However, these software programs require extensive training to use effectively, are not very flexible, and in most cases fail to provide the outcome auditors are expecting. Moving to an open source platform based around the python ecosystem allows for true customization of analytics, and provides a common language to interact with your IT department. By using the same set of tools, an auditing department can move from rudimentary AP duplicate tests all the way to advanced classification and clustering machine learning tests. Although the barrier to entry for open source software is higher than for most CAATs, with cross-functional collaboration, a truly customized, sustainable, and highly effective analytics program can be created.

Machine Learning for Auditors: What you need to know

May 02, 2017

Presentation, ISACA North America CACS, Las Vegas, Nevada

Machine learning is a hot topic in today’s discourse with a myriad of economic and social implications. As it gains wider adoption, what does it mean for assurance professionals? With the proliferation of buzzwords and the black box nature of machine learning, Andrew will help you cut through the noise and understand what fundamental changes are occurring and what is still more hype than reality.

Where Open Source Meets Audit Analytics

December 08, 2016

Presentation, MISTI ITAC, New Orleans, Louisiana

Open source software is taking the computer science community and IT departments by storm. The breadth of options, the timeliness of updates, the price, and the sense of community are all contributing factors to the rise of open source computing. For many years audit analytics has been confined to the Computer Assisted Auditing Techniques, CAAT, software vendors ACL, IDEA and now Arbutus. However, these software programs require extensive training to use effectively, are not very flexible, and in most cases fail to provide the outcome auditors are expecting. Moving to an open source platform based around the python ecosystem allows for true customization of analytics, and provides a common language to interact with your IT department. By using the same set of tools, an auditing department can move from rudimentary AP duplicate tests all the way to advanced classification and clustering machine learning tests. Although the barrier to entry for open source software is higher than for most CAATs, with cross-functional collaboration, a truly customized, sustainable, and highly effective analytics program can be created.