AI governance models and methods

AI governance models and methods

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AI governance models and methods
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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 enormous benefits for society as a whole. We now see it in our daily lives, from smart speakers to driverless cars to creating personalized service offerings to consumers based on our own preferences. But there are many challenges to using AI, challenges that can potentially damage the brand and/or result in regulatory fines for organizations that use AI incorrectly. It is up to business leaders to be involved in AI deployments led by their technology teams to ensure they are regulatory compliant and, more importantly, ethical in their application. Join this session to understand the risks associated with AI, governance models, and methods organizations can use to ensure they are using AI wisely.

About your speaker:

In artificial intelligence, David has extensive practical experience consulting in machine vision, natural language processing, sentiment analysis, recommendation engines and chatbots.

David holds advanced degrees in engineering and finance. Arts and IoT and several certifications in artificial intelligence, Internet of Things, project management and operations. He has worked with various technologies such as Microsoft Azure, Vmware, EMC, Cisco, SAP, Google and Oracle. He has received over 53 personal recommendations from clients, supervisors and peers and is highly respected for his thought leadership.

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

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