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Top 5 Favorite Moments from Everyday AI London

Dataiku

London for the first Everyday AI Conference of 2022 and the first in-person Dataiku conference since EGG 2019. In case you missed it, here’s my take on the top five best moments at Everyday AI London. On Monday, more than 500 data practitioners, leaders, and innovators gathered in (sunny!

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Unleashing the Power of Decision Science

Dataiku

At Dataiku’s Everyday AI Conference in London, Robert Bates, Head of Decision Science at Curry’s , shared his personal experience of understanding the meaning and power of data-driven decision science through the creation and evolution of data-centric processes at Curry’s.

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Top 5 Favorite Moments From Everyday AI Bengaluru

Dataiku

Following its stops in London and New York , the Everyday AI conference by Dataiku landed in Bengaluru on July 12, 2022. Participants were given the opportunity to create new connections, take part in engaging sessions, and shine a spotlight on the Everyday AI revolution emerging in India.

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5 Examples of Everyday AI on Display at Everyday AI San Francisco

Dataiku

Last year, Dataiku’s Everyday AI conference series touched down in many corners of the globe — from London and New York to Bengaluru and Paris (and we’re excited to revisit some of those cities later this year!).

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3 examples of organizations improving CX with self-composed AI

CIO Business Intelligence

Most business leaders don’t need convincing about the power of AI: nearly 60% surveyed last year by Zendesk said they plan to increase their investment by at least 25% this year. IDC predicts that 40% of the Global 2000 will augment their human staff with AI digital co-workers by 2025. what’s your mother’s maiden name?”)

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Top 5 Moments From Everyday AI Paris

Dataiku

Following its stops in London , New York , and Bengaluru , the Everyday AI Conference by Dataiku landed in Paris on October 20, 2022. What made the conference so unique and memorable? Check out our top five moments below!

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Build efficient, cross-Regional, I/O-intensive workloads with Dask on AWS

AWS Big Data

About the Authors Patrick O’Connor is a WWSO Prototyping Engineer based in London. He is a creative problem-solver, adaptable across a wide range of technologies, such as IoT, serverless tech, 3D spatial tech, and ML/AI, along with a relentless curiosity on how technology can continue to evolve everyday approaches.