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Paul Martin: CIOs don’t retire, they go work on boards

CIO Business Intelligence

Two years of pandemic uncertainty and escalating business risk have sharpened the focus of corporate boards on a technology trend once dismissed as just another IT buzzword. We do this work because of those data benefits: the ability to apply AI or machine learning in ways that drive greater business insights.

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Simulation for better decision making

Cloudera

Cloudera Enterprise is the market leader in this space and working closely with the wider open source community to integrate the latest innovations in machine learning and artificial intelligence (AI). Derman (2016), Cesa (2017) & Bouchard (2018)). Blog Post, Nov-2016. A Stylized History of Quantitative Finance”.

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Explore the Worlds of Startups and Science with AI Experience Worldwide Speakers Alexis Ohanian and Bill Nye

DataRobot

Despite the uncertainty and challenges of the past year, DataRobot is seeing the positive impact that AI and machine learning are having on our world as enterprises accelerate their AI adoption. AI Experience Worldwide , our free virtual conference, is just a few weeks away.

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6 ecommerce trends to watch

IBM Big Data Hub

Search and discovery AI-powered search and recommendation engines use machine learning algorithms to better capture user intent, improve search relevance, and enhance product discovery. Just six years after it emerged in 2016, the industry was projected to bring in USD 647 billion in the country.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. An ML-related topic, “models,” was No.

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