Measuring Business Value for AI & Data initiatives
Dinsdag 12:00 - 00:00
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Nosi September
Senior Consultant - Digital transformation & Strategy
Organizations invests millions & billions of Euros in cloud platforms, data foundations, analytics, and AI. Yet despite the investment made surrounding generative AI and intelligent automation, many organizations still struggle measure the Business value brought by these initiatives.
The question is:
"What business value is this AI transformation actually creating?"
Too often, AI success is measured by technical metrics such as model accuracy, response time, adoption, or the number of deployed use cases, rather than business outcomes such as revenue growth, cost reduction, productivity, customer satisfaction, or risk mitigation. As a result, many AI initiatives remain successful pilots but fail to become strategic business capabilities.
This session explores how organizations can shift from an implementation mindset to seeing AI as a value-driven transformation approach.
Attendees will learn how to define measurable business outcomes before launching AI initiatives, align AI investments with strategic objectives, establish meaningful KPIs, and create governance that continuously demonstrates business impact.
Organizations invests millions & billions of Euros in cloud platforms, data foundations, analytics, and AI. Yet despite the investment made surrounding generative AI and intelligent automation, many organizations still struggle measure the Business value brought by these initiatives.
The question is:
"What business value is this AI transformation actually creating?"
Too often, AI success is measured by technical metrics such as model accuracy, response time, adoption, or the number of deployed use cases, rather than business outcomes such as revenue growth, cost reduction, productivity, customer satisfaction, or risk mitigation. As a result, many AI initiatives remain successful pilots but fail to become strategic business capabilities.
This session explores how organizations can shift from an implementation mindset to seeing AI as a value-driven transformation approach.
Attendees will learn how to define measurable business outcomes before launching AI initiatives, align AI investments with strategic objectives, establish meaningful KPIs, and create governance that continuously demonstrates business impact.
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