Decoding the Hype: How to Effectively Integrate genAI in Your Analytics Strategy
How genAI can make enterprise data analytics more effective.
One of the hottest topics in the industry today is the role of generative AI in enterprise reporting, data analytics and its application in higher education. New genAI tools hold tremendous opportunity to enable a new paradigm of reporting and analytics by making data more accessible to more stakeholders across the institution. However, this transition will be neither instantaneous nor painless, as there are many barriers, both technical and institutional, that need to be managed in order for this new technology to be successfully deployed.
Join a live webinar featuring Tom Andriola, Vice Chancellor, Information Technology and Data & Chief Digital Officer at UC Irvine, Mike Sharkey, Executive Director of Data and Analysis, Enterprise Technology at Arizona State University and Craig Rudick, Director of Product Strategy and Data Scientist at HelioCampus to share their perspectives from the field on how AI is shaping their analytics strategies in real time. In this session, we will deconstruct the anatomy of the promised genAI revolution, envisioning a future where AI has the power to strategically support analytics efforts but not without being aware of the pitfalls.
This includes a discussion of:
- How IR and IT roles are evolving to integrate genAI into analytics,
- The role of data governance, data observability and data engineering in your genAI success,
- The limitations and challenges in leveraging current genAI models,
- Why the semantic layer is essential to accuracy and usability,
- How to increase your understanding of genAI in analytics and roll out your chosen strategies, tools and technologies on campus.
You won’t want to miss this balanced view on how genAI can make enterprise data analytics more effective, focusing on practical applications rather than just revolutionary claims.
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