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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype. Not all of them require a unique front-end.

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Autodesk enlists Einstein AI to enhance customer service

CIO Business Intelligence

Salesforce first launched Einstein in 2016 , but the AI platform has evolved and expanded to address many common business tasks for specific audiences in the years since, including sales and marketing, e-commerce, and other routine but vital corporate functions. “We But at this point, we have not launched any of these capabilities.”

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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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Einstein Studio 1: What it is and what to expect

CIO Business Intelligence

The company has been bundling various forms of automation into its Einstein brand since 2016. Salesforce is pushing the idea that Einstein 1 is a vehicle for experimentation and iteration. Einstein 1’s latest additions are meant to create a place for experimentation and iteration. This isn’t a new push for Salesforce.

Data Lake 119
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Del dato como activo estratégico a la IA generativa: así es la estrategia digital de Air Europa

CIO Business Intelligence

Sin embargo, lo cierto también es que nos encontramos en una etapa muy inicial o experimental de esta ciencia, que despuntó democráticamente hace escasos dos años con el lanzamiento del archiconocido ChatGPT, de OpenAI. Así que es necesario testar como las grandes corporaciones la están implementando en su proceso.

KPI 89
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Coaching your IT team for change: 9 tips

CIO Business Intelligence

One Gartner study found that willingness to support organizational change dropped from 74% of employees in 2016 to just 43% in 2022. I try and build a culture where everything is hypothesis-driven and experimental,” says Digiterre’s Jethwa.

IT 138
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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.