Remove 2018 Remove Experimentation Remove Risk
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AI agents will transform business processes — and magnify risks

CIO Business Intelligence

Starting in 2018, the agency used agents, in the form of Raspberry PI computers running biologically-inspired neural networks and time series models, as the foundation of a cooperative network of sensors. “The Adding smarter AI also adds risk, of course. “At That means the projects are evaluated for the amount of risk they involve.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

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Generative AI’s change management challenge

CIO Business Intelligence

Despite headlines warning that artificial intelligence poses a profound risk to society , workers are curious, optimistic, and confident about the arrival of AI in the enterprise, and becoming more so with time, according to a recent survey by Boston Consulting Group (BCG). A lot has happened since that last survey on attitudes to AI in 2018.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

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How Italian CIOs produce value with gen AI

CIO Business Intelligence

The evolution of the chatbot For Alpitour World, the first experiments with traditional AI date back to 2018, conducted in an internal IT laboratory and in a protected research context. I’ve given colleagues the freedom to do research and experimentation together with our automation partner Mauden,” says Ciuccarelli. “We

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Managing Risk in Data Projects

Dataiku

In 2018, O’Reilly conducted a survey regarding the stage of machine learning adoption in organizations, and among the more than 11,000 respondents, almost half were still in the exploration phase.

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AI Adoption in the Enterprise 2021

O'Reilly on Data

We’ll look at this later, but being able to reproduce experimental results is critical to any science, and it’s a well-known problem in AI. In contrast, in our 2018 report, Asia was behind in mature practices, though it had a markedly higher number of respondents in the “early adopter” or “exploring” stages. Bottlenecks to AI adoption.