AI Governance Models and Methods

AI Governance Models and Methods – How to mitigate the risks associated with the use of AI and how to increase the realized benefits.

There is no doubt in most people’s minds that Artificial Intelligence (AI) as a technology has the potential to generate huge benefits for society as a whole. We see it now in our everyday lives from smart speakers, to driverless cars to helping to create customized consumer service offerings based on our own preferences. But there are a lot of challenges in using AI, challenges that can create potential brand damage and/or regulatory fines for organisations that use AI incorrectly. It is incumbent on business managers to get involved in the AI deployments that their technology teams are leading to ensure that they are regulatorily compliant and more importantly ethical in their application. Join this session to understand the risks associated with AI and the governance models and the methods that organisations can use to make sure they are using AI wisely.


About your speaker:

In Artificial Intelligence, David has extensive practical consulting experience in Machine Vision, Natural Language Processing, Sentiment Analysis, Recommendation Engines, and Conversational Agents.

David has advanced degrees in Engineering, Finance. Arts and IoT and several certifications in Artificial Intelligence, Internet of Things, Project Management, and Operations. He has worked with a variety of technologies such as Microsoft Azure, Vmware, EMC, Cisco, SAP, Google, and Oracle. He has received over 53 personal recommendations from customers, supervisors, and peers and is well respected for his thought leadership.

Sought after for his practical and insightful perspective on AI and IoT, David is frequently asked to speak at international conferences and events.

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