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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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Don’t Just Sit There, Experiment!

Decision Management Solutions

We’ve been blogging recently on Decision Optimization. The Customer Journey to Decision Optimization. Those trying to improve and optimize their decisions report various challenges. Experimentation at the beginning of your journey is essential to make sure you understand where you are starting.

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Humans and AI: Should We Describe AI as Autonomous?

DataRobot

Contrast the dictionary definition with how the word is used. This is consistent with autonomous vehicle for driverless cars, a usage that is broader than the dictionary definition. Set the goal to be achieved or optimized. The dictionary definition of automated is “operated by largely automatic equipment. ”.

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Large Language Models and Data Management

Ontotext

Another concern relates to the definition of ‘data constraints.’ Nothing should be considered definitive until it is fact checked. Training LLM requires building robust data pipelines that are both highly optimized and flexible enough to easily include new sources of both public and proprietary data.

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Experimentation and Testing: A Primer

Occam's Razor

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

If CIOs don’t improve conversions from pilot to production, they may find their investors losing patience in the process and culture of experimentation. For example, McKinsey estimates enterprises can cut 15% to 20% of cloud costs through optimizations, and implementing finops practices is one opportunity.

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Forging a framework for central bank digital currencies and tokenization of other financial assets

IBM Big Data Hub

At the same time, because of the system’s critical nature, achieving resilience is crucial while its definition extends beyond the crash fault tolerance in legacy critical infrastructure systems. The system must be resilient to a Byzantine fault , so that it can continue to operate even if parts of the system have been compromised.