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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

We are excited about the OpenSearch Service features and enhancements we’ve added to that toolkit in 2023. 2023 was a year of rapid innovation within the artificial intelligence (AI) and machine learning (ML) space, and search has been a significant beneficiary of that progress. and is now generally available with version 2.9.

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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Cloud maturity models (or CMMs) are frameworks for evaluating an organization’s cloud adoption readiness on both a macro and individual service level.

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IBM Cloud solution tutorials: 2023 in review

IBM Big Data Hub

As it has become tradition , the team creating the looks back and shares the personal highlights of the year 2023. Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). Its goal is to advance open, safe and responsible AI.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Generative AI is the biggest and hottest trend in AI (Artificial Intelligence) at the start of 2023. These changes may include requirements drift, data drift, model drift, or concept drift. encouraging and rewarding) a culture of experimentation across the organization. So, if you have 1 trillion data points (g.,

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IT leaders look beyond LLMs for gen AI needs

CIO Business Intelligence

With the generative AI gold rush in full swing, some IT leaders are finding generative AI’s first-wave darlings — large language models (LLMs) — may not be up to snuff for their more promising use cases. With this model, patients get results almost 80% faster than before. It’s fabulous.”

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Expectations vs. reality: A real-world check on generative AI

CIO Business Intelligence

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Pilots can offer value beyond just experimentation, of course.