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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). It is also a sound strategy when experimenting with several parameters at the same time.

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CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

Yet, controlling cloud costs remains the top challenge IT leaders face in making the most of their cloud strategies, with about one third — 35% — of respondents citing these expenses as the No. 1 barrier to moving forward in the cloud. However, as these environments grow and become more complex, the challenges persist.”

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The CIO’s 2024 AI playbook

CIO Business Intelligence

Here are three strategies designed to help CIOs and others maximize their return not just on AI, but all essential tech. Leverage AI to put IT efficiency into overdrive ChatGPT’s release in 2022 kicked off an unprecedented hype cycle for the new technology.

ROI 95
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ChatGPT, the rise of generative AI

CIO Business Intelligence

years to ChatGPT (November 2022), and only 4 months to GPT-4 (March 2023). It is simply unaware of truthfulness, as it is optimized to predict the most likely response based on the context of the current conversation, the prompt provided, and the data set it is trained on.

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Generative AI’s change management challenge

CIO Business Intelligence

Although ChatGPT, the poster child for generative AI applications, only launched in November 2022, already 26% of workers say they use generative AI several times a week, while 46% have experimented with it at least once, BCG found. A smaller BCG survey five years ago saw 60% listing curiosity, 35% optimism, 40% concern, and 17% confidence.

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12 data science certifications that will pay off

CIO Business Intelligence

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You should also have experience with pattern detection, experimentation in business optimization techniques, and time-series forecasting.

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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.