There is no question that elasticity, including on-demand compute resource management, is the future of Enterprise AI.Learn More
Machine learning and AI aren’t just about technology — it’s people that make the difference in developing AI systems that are cutting-edge, but also responsible and sustainable. That’s why we created EGG as a way to bring data professionals together to talk about real-life data science, machine learning, and AI use cases, with an overarching focus on how to smartly scale.
Since 2017, EGG has attracted more than 5,000 data leaders at the world’s first conference focused not just on what AI can do, but practically, how companies can get there. EGG speakers are hand selected because they have been through the organizational and technical change associated with AI transformation before and want to share their insights and learnings with their peers.
And speaking of transformation, E-G-G isn’t a fancy acronym. An egg is something full of life and potential that represents birth (or rebirth) and change. At the end of the day, doing AI for real will be a process, and it won’t happen overnight — it will take fundamental and radical organizational metamorphosis. So that’s why: EGG.