The Economic Imperative of Responsible Innovation
Join this webinar to learn how generative AI is bringing a sense of urgency to organizations seeking enhanced productivity without compromising security.
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About the webinar
Responsible innovation is becoming an economic imperative.
Not only must organizations meet ethical and regulatory compliance requirements, but they must also ensure profitability when it comes to data, cloud and AI investments.
Similarly, generative AI is bringing new urgency to striking this equilibrium as business leaders are looking for innovative ways to make their organizations more productive without compromising on security, privacy and trust.
Join KPMG and SAS experts for this webinar to hear lessons learned and best practices.
You will learn
- How generative AI provides an unprecedented range of opportunities and risks.
- How an effective AI governance framework can deliver trusted, ethical and profitable outcomes for people, processes and technology.
- How ModelOps, along with an end-to-end analytics platform, can boost productivity and transparency in the analytics life cycle and automated decision making.
Frank van Praat
Director of Responsible AI, KPMG
Frank is a director at KPMG The Netherlands, where he leads the dedicated Responsible AI team that he founded. Frank has over 12 years of consulting experience through a mix of leading large (international) engagements in the field of (IT) governance, policies, risk and control, and a variety of responsible AI engagements in the financial, public, and corporate industries. Frank is passionate about the human aspects of AI and advising public and private organizations on the reliable and responsible use of AI.
Olivier Penel
Head of Advisory Channels, SAS
Olivier Penel is passionate about AI, how it fuels innovation that matters and how it relates to bigger questions such as privacy, sustainability and ethics. As a trusted advisor, Olivier strives to help organizations accelerate their digital transformation, operationalize their analytics as part of decision making processes and realize the value of their most valuable assets: data.
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