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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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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

One benefit is that they can help with conversion rate optimization. This article is going to provide some great insights on developing strategies for unlocking additional value from an online business, which can do a lot to boost revenue and catapult the enterprise to new heights.

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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Representatives from Goldman Sachs, JP Morgan Chase, and Morgan Stanley did not immediately respond to requests for comment on their companies’ plans to implement AI or its potential to change their hiring strategies.

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CBRE’s Sandeep Davé on accelerating your AI ambitions

CIO Business Intelligence

Sandeep Davé knows the value of experimentation as well as anyone. CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. And those experiments have paid off.

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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 362
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How CIOs align with CFOs to build RevOps

CIO Business Intelligence

That includes many technologies based on machine learning, such as sales forecasting, lead scoring and qualification, pricing optimization, and customer sentiment analysis. We’re mostly still optimizing our sales and marketing processes with CRM tools,” he says.

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3 key digital transformation priorities for 2024

CIO Business Intelligence

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%