An emerging paradigm in AI may make the application of AI and Deep Learning in an enterprise much more accessible and feasible. That is the Foundation Models. Hagay Lupesko, VP of Engineering at MosaicML (previously Director of Engineering at Meta AI), at this year's Data Innovation Summit, explained everything you need to know about Foundation Models. The starting point of his talk was the journey of Deep Learning over the past decade, through the success of the AlexNet model, the rapid progress and enormous value delivered, to the introduction of the relatively new concept on the path of Deep Learning and AI – the Foundation Models. In this article, you can also read about the opportunities and challenges these models offer when applying AI in the enterprise.

Building and construction sectors are major contributors to both waste and emissions globally, and achieving growth sustainably is becoming more and more important for companies around the world. As projects are increasingly complex and expectations from different stakeholders higher, achieving ambitious sustainability goals is challenging without the use of data and modern technology. At the Data Innovation Summit 2021, Janne Liuttu, Chief Data Scientist at Ramboll will be sharing how AI is enabling Ramboll to build sustainable cities and society where people and nature flourish. In our discussion, he walks us through AI's role in reducing waste and carbon emissions, concrete solutions for creating sustainable cities and societies at Ramboll and the challenges of applying AI in the building and construction sectors. Hyperight: Hi Janne, it's our pleasure to welcome you as a speaker to the Data Innovation Summit 2021.