How to Measure and Improve the Performance of Your AI Initiative, AI Portfolio and AI Organization?
Data and AI projects often lack a clear value measure. This ironic absence limits growth, hinders project improvement, and hides the real value of tech investments at scale.Join this webinar tailored for Data Science, AI, and Machine Learning team leaders. We'll introduce helpful frameworks and tools like a driver tree, an approach to AI governance and portfolio management and a Data & AI Maturity framework for measuring your organisation's AI-readiness.
Why Join?
This session will equip you with tested tools from our Data and AI consultancy services. You'll gain insight into your organization's standing, formulate actionable improvement plans, and convert AI investments into tangible business results.
During the webinar, you will learn:
- How to capture business value of (Gen)AI: Measure and track value for a single use case.
- AI Portfolio Management: Learn effective strategies to manage the growth of your portfolio of AI projects.
- Data & AI Maturity: Measure your organisation's AI maturity and readiness to devise an improvement plan.
This is a must-attend webinar for leaders ready to unlock their AI investment potential, avoiding budget waste and creating sustainable AI-driven growth.
- When: December 16th
- Time: 3-4 PM CET
- Duration: 1 hour
- Platform: Online on Zoom
Have any questions? Reach out to us for more information. And stay tuned for our next webinar in the series on AI maturity and growth strategies.
Meet the Speaker:
Steven Nooijen
Steven is the Head of Data & AI Strategy at Xebia Data. He has over 10 years of consulting experience with the challenges and growth that organizations face in their data journey and together with his clients he has condensed these learnings into a framework called "The AI Maturity Journey".
Jetze Schuurmans
Jetze is a well-rounded Machine Learning Engineer who is as comfortable solving Data Science use cases as he is productionizing them in the cloud. His interests include MLOps, GenAI and Cloud Engineering. As a researcher, he has published papers in Computer Vision, Natural Language Processing and Machine Learning in general. Jetze loves sharing knowledge during community events and by giving trainings
Daniel van Dijk
Daniel is Sales Lead of the AI Practice at Xebia Data. He builds partnerships with the NL top 250 (and many abroad) around (Gen)AI use case execution, leading and upskilling DS teams, implementing MLOps, and deploying scalable architectures.
AI or ROI? Webinar series
This webinar is a part of the series "AI or ROI", please check the other webinar here.
