In our next Lightning Interview, we speak with Weaviate's co-creator, Bob van Luijt. In this live webinar, we will examine some naive ML workflows that don't take the development-production feedback loop into account and explore why they break down, showcase some system design principles that will help manage these feedback loops more effectively, and more. Data Governance is a critical component to ensuring a company is compliant with privacy laws and regulations alongside providing their data citizens with secure self-service access to trusted and quality data. In this webinar join us as we talk about noteworthy highlights in the AI/ML space from 2021, upcoming trends in ML/AI for 2022, and more. Hear first-hand from three Z by HP Data Science Global Ambassadors how the Windows Subsystem for Linux 2 (WSL 2) has brought productivity and efficiency to their workflows.

After a hugely successful first day at the Deep Learning Summit and Responsible AI Summit, we were back in Montreal for day two. Sportlogiq were up first on the Deep Learning stage with Bahar Pourbabaee, Machine Learning Team Lead, discussing some of the main challenges in developing and deploying deep learning algorithms at scale. The sheer size of this scale was reiterated with Bahar suggesting that they are processing more than 60,000 sports videos from different sources, all of which include many thousands of frames. Bahar's first example of Sportloqiq's latest work depicted that of a fast moving Premier League Soccer game, with examples showing the sheer depth of analysis suggesting that both decisions and non-decisions alongside their consequences can be looked at and scrutinised, whilst individual joints of players and their lateral movement was observed under the microscope. Bahar then continued to detail some of the problems with the visual perception of their learning representation model which included player/object detection, player/team identification, state estimation and data association.