Remove Business Objectives Remove Experimentation Remove Measurement Remove Testing
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Test early and often. Test and refine the chatbot.

Strategy 290
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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ).

Marketing 362
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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

Transformational leaders must ensure their organizations have the expertise to integrate new technologies effectively and the follow-through to test and troubleshoot thoroughly before going live. Leaders must clearly define what they want to achieve through digital transformation and how they plan to do it.

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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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Achieving cloud excellence and efficiency with cloud maturity models

IBM Big Data Hub

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Everything runs seamlessly and efficiently and all stakeholders are aware of the cloud’s potential to drive business objectives. Level 3 – Scale: Cloud-native strategy is now the preferred approach.

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The pandemic pivot: 5 key leadership lessons that will last

CIO Business Intelligence

The early days of the pandemic taught organizations like Avery Dennison the power of agility and experimentation. We are just starting to come back into the office, but in six months we’ll have a much better measure” of efficiencies gained. “I Employee crowdsourcing can yield breakthrough ideas.

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Frugal AI: Value at Scale Without Breaking the Bank

Dataiku

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. And even if modern elastic stacks have significantly lowered the barrier to technology, is this aligned with the business objective I am trying to reach? Today, in 2022, the code (i.e.,