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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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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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Why Metaversial Business Is a Very Long Way Off

Mark Raskino

It was April 2007, Gartner IT Symposium, and Second Life was the red hot next-big-thing. It didn’t happen in 2007 and I really don’t think it will happen in 2027 either. Here are five reasons the tech optimism has been thrashed out of me on the idea of mass business VR, and I argue it just isn’t going to happen anytime soon.

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A perfect match: How tech promoted a small soccer team to the top

CIO Business Intelligence

Thanks to this injection of capital, which allowed it to improve its squad through new hires, Hoffenheim finally reached the Germany’s first division in the 2007-2008 season. It was the beginning of a close relationship between SAP and Hoffenheim, which continues today.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. Apart from generating regulatory reports, these teams require visibility into the health of the reporting systems.

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5 Reasons Why Big Data Is Essential for Successful Marketing

Smart Data Collective

However, once Apple launched the first iPhone in 2007, it marked the most notable paradigm shift for marketers. Big data has produced effective results for companies to devise the right pricing strategies and optimize profits. It determines which offer will be the best in the sequence of customer interactions.

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Can Data-Driven Accounts Receivable Management Strengthen Client Relationships?

Smart Data Collective

The benefits of data analytics in accounts receivable was first explored by a study from New York University back in 2007. As such, you should consider accounts receivable best practices to make sure that this key interaction with your clients is happening seamlessly without issues.