Optimizing For Analytics, Machine Learning Experimentation
Dell Technologies, Tuesday, July 18,2023
Accelerate and enrich experimentation as the "heartbeat" of successful machine learning model development.
As artificial intelligence (AI) and machine learning (ML) are becoming part of our daily lives, we hear about the importance of data and data science almost daily, as we have for over a decade now. Data is often called 'fuel'- for economic growth, innovation and even AI itself. And while data may be the fuel, it still takes science and engineering to build the rocket ship.
One of the keys to that science and engineering is optimization. Specifically, optimizing processes and methods for analytics and ML: experimentation and modeling. So, while data powers your rocket ship, optimizing analytics ensures its design and performance are state-of-the-art. And while working with machine learning isn't rocket science (anymore), it still requires a bit of paradigm shift - one that realizes the importance of data and a data-driven enterprise.