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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. (And sometimes even if it is not[1].) We use these designs frequently, and so can you.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? encouraging and rewarding) a culture of experimentation across the organization.

Strategy 289
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20 issues shaping generative AI strategies today

CIO Business Intelligence

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. says CIOs should apply agile processes to their gen AI strategy. It’s not a hammer.

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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. Davé and his team’s achievements in AI are due in large part to creating opportunities for experimentation — and ensuring those experiments align with CBRE’s business strategy. This is partly why partnerships have been integral to CBRE’s strategy.

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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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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%