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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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Top BOB Blog Posts of 2018: Data Science, Machine Learning and the Net Promoter Score

Business Over Broadway

All of my top blog posts of 2018 (most reads) are all related to data science, with posts that address the practice of data science, artificial intelligence and machine learning tools and methods that are commonly used and even a post on the problems with the Net Promoter Score claims.

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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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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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When models are everywhere

O'Reilly on Data

Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. YOUTUBE, CONSPIRACY, AND OPTIMIZATION.

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