AI has never been hotter thanks to recent breakthroughs in generative AI. But the gap between the technological vanguard and what is actually being used in the enterprise has never been wider.
How do we get there?
We put AI to work.
To do that, we need people. More than ever, we need to democratize the use of data and AI systems. We need to accelerate in bringing more results with AI. And perhaps most importantly, we need to build systems we believe in. People need to trust the AI.
By accomplishing this, we can bring this latest generation of AI into our everyday lives. Now, more than ever, the potential for Everyday AI is there. Everyday AI Conferences will equip you with the imagination required to conceive of what the future may look like while also providing you with the tools and strategies to get there. Today.
We have designed Everyday AI Conferences to cut through the hype and provide real-life stories around data and AI. Our speakers will both inspire and provide actionable takeaways for your day to day.
Meet today’s brightest minds in data, analytics, AI, and business in a setting you’ll actually want to linger in after the curtain closes. Everyday AI Conferences offer bright, comfortable social spaces to facilitate your next professional connection in style.
Technology is never a magic bullet, but choosing the right tech is critical in putting AI to work successfully. At Everyday AI Conferences, see what’s new in Dataiku and how some of our customers are using the Everyday AI platform to transform their business.
What actually is fairness? Luke Vilain, Data Ethics Senior Manager at Lloyds Banking Group, speaks at Everyday AI London on what it is and how it can be achieved.
Read moreDebbie Reynolds, VP Enterprise Data Solutions and Engineering at Pfizer, discusses how the company has been able to put data at the core of everyday business decisions.
Learn MoreMount Sinai has pivoted its processes to create more holistic methods which enable lasting results and life-long, positive impacts in patients’ lives. At the core of this transformation? Dataiku.
Learn MoreEveryone's talking about MLOps, but what value does it provide in practice? And how can Dataiku help? We sat down with Subhadip Roy, Head of Machine Learning Engineering, AI, and Data at Deloitte to hear about his experience in the field.
Learn MoreThough the savings generated by the express shipping recommendation model will only fully materialize over time, the tool when globally implemented is estimated to reduce express shipment costs by 11-36%.
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