AI at Scale

In the fifth episode of the AI at Scale podcast Alex Rykhva, Chief Data Officer at Louis Dreyfus Company, shares insights on how new technology, especially AI, is changing agriculture. Alex explains the evolution of use of technology and data in agriculture, new methods of assessing and predicting yields of different products around the year, and some of the challenges and opportunities ahead.

Una Shortt, Chief Data Officer, SVP Data & Performance at Schneider Electric, shares the story about trusted data being the new currency for business. She explains why there is a need to collect and process high-quality data, why not all data holds the same worth, and finally why the type of data is becoming a key differentiator for companies.

Claude Le Pape-Gardeux, Data and AI Domain Leader at Schneider Electric, defines frugality of AI solutions and shares his point of view on the “new energy” demand vs. the current need to be energy efficient. In the show Claude shares with Gosia Gorska, the host of the podcast, useful tactics to measure AI successfully and effectively. The episode's second part is dedicated to the topic of constant improvement of measurement methods and cooperation with academic partners. 

In the second episode, we welcome Allison Sagraves, AI and Data Advisor, Chief AI and Data Officer Faculty at Carnegie Mellon University, beekeeper, and forest steward. The main topic of the episode is the discussion about today’s search for AI unicorns - not only among start-ups but also C-level executives and AI experts. 

In the first episode Philippe Rambach, Schneider Electric's Chief AI Officer, answers some of the most difficult questions that a Chief AI Officer can receive. He explains when it is necessary to use AI and when not, the sustainable and frugal approach to AI, and finally, talks about three pillars of AI supporting decarbonization and energy savings. Then, in the second part of the show, Philippe shares practical insights for businesses about implementing AI at scale in the company to ensure return on investment and value from AI.