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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

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5 key areas for tech leaders to watch in 2020

O'Reilly on Data

Growth is still strong for such a large topic, but usage slowed in 2018 (+13%) and cooled significantly in 2019, growing by just 7%. But sustained interest in cloud migrations—usage was up almost 10% in 2019, on top of 30% in 2018—gets at another important emerging trend. ML + AI are up, but passions have cooled. Security is surging.

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How Ontraport reduced data processing cost by 80% with AWS Glue

AWS Big Data

Customers are implementing data and analytics workloads in the AWS Cloud to optimize cost. It allows them to provide better services and insight to customers such as email campaign optimization. Originally, all logs were retained back to 2018. This post is written in collaboration with Elijah Ball from Ontraport.

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Agentic AI design: An architectural case study

CIO Business Intelligence

Just a few short years ago, models like GPT-1 (2018) and GPT-2 (2019) barely registered a blip on anyone’s tech radar. Kevin Weil, chief product officer at OpenAI, wants to make it possible to interact with AI in all the ways that you interact with another human being.

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Q&A: Businesses need to be the boss of AI, or else

CIO Business Intelligence

As with any revolutionary technology, artificial intelligence (AI) is viewed with both optimism and fear. With FutureIT Los Angeles coming up on March 12, we spoke with Baron – a keynote speaker at the event – about how AI, robotics, and communication technologies are redefining how people interact and businesses operate.

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LexisNexis rises to the generative AI challenge

CIO Business Intelligence

We did a major pivot because this was a game changer in terms of its interactive abilities, as well as the comprehensiveness of its answers and its data generation capabilities. We will pick the optimal LLM. We’ll take the optimal model to answer the question that the customer asks.” We were all-hands-on-deck,” Reihl says. “We

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How H&M integrates tech into its stores

CIO Business Intelligence

Then it’s a lot about optimizing so you don’t overproduce. Luckily, H&M was attuned to using AI relatively early; it was around 2018 when the company started using the tech to optimize product flows. It requires a creative and planning processes. It’s producing great results,” says Svanström.

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