The implementation of Artificial Intelligence is a strategic objective for many enterprises. However, the term Artificial Intelligence is loaded with many meanings, everything from the dreams of Science Fiction writers such as Androids with general human-like intelligence to more practical examples of automation and intelligent systems. In the commercial world, with the huge pressures to deliver projects with measurable ROI, how do we reconcile the two worlds of the visionary innovation and the practical deliverable. This session will explore ways to create an AI vision grounded in current reality but with an eye on future trends and possibilities. Once we have the vision to aim at, the session will explore ways to create an AI roadmap to bring the vision into reality. We also explore the data and architecture requirements needed to support such a roadmap and ways to ensure projects are production ready.
You may also like
9 Takeaways from the Ninth Edition of Data Innovation Summit!
And yet another wrap of a fantastic edition of the biggest data, analytics, and AI event in the Nordics – Data Innovation Summit! With both in-person and online, this event transcended traditional event limits!
Operational Data Science: Ensuring ML Models Can Deliver Real-world Impact – Interview with Dr. Indy Leclercq, Manager Data Science at Talabat
In this Hyperight Data Talks interview, we had the opportunity to speak with Dr. Indy Leclercq, Manager Data Science at Talabat! In our discussion, we talk about operational data science, ensuring ML models drive impact...
Recap: Day 2 at Data Innovation Summit 2024
Yet another day filled with amazing moments came to an end! Day two at the Data Innovation Summit marked the conclusion of an unforgettable event! Just like the exciting kickoff yesterday, today was packed with even...
Add comment