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BALANCING SPEED &

GOVERNANCE IN DATA & AI

The pressure for executives to deliver data and AI solutions has never been higher. In tandem, the development and execution of a comprehensive data strategy has become increasingly vital and intricate. The consequences of neglecting to establish this foundation is no longer limited to erroneous internal business decisions or un-impactful access violations. In today’s landscape, modern data and AI platforms are integrated into revenue streams, impacting almost every client and business process.

Failing to engrain data quality, address biases, and comply with regulations may lead to legal repercussions, erode trust among consumers, employees, and stakeholders. Discuss what constitutes a holistic strategy, explore techniques for automating and integrating measures as well as approaches to strike the delicate balance of advancing data and AI capabilities while mitigating risks.

 

BALANCING SPEED &

GOVERNANCE IN DATA & AI

The pressure for executives to deliver data and AI solutions has never been higher. In tandem, the development and execution of a comprehensive data strategy has become increasingly vital and intricate. The consequences of neglecting to establish this foundation is no longer limited to erroneous internal business decisions or un-impactful access violations. In today’s landscape, modern data and AI platforms are integrated into revenue streams, impacting almost every client and business process.

Failing to engrain data quality, address biases, and comply with regulations may lead to legal repercussions, erode trust among consumers, employees, and stakeholders. Discuss what constitutes a holistic strategy, explore techniques for automating and integrating measures as well as approaches to strike the delicate balance of advancing data and AI capabilities while mitigating risks.

 

WEBINAR SPEAKERS

Ashwin Balu

Principal Manager, Data & AI
IBM

Nathan Liston

Director, Data & Analytics
CleanSlate