Remove Business Objectives Remove Cost-Benefit Remove Experimentation
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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. Counter claims?

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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. Experiments allow AI PMs not only to test assumptions about the relevance and functionality of AI Products, but also to understand the effect (if any) of AI products on the business. Don’t expect agreement to come simply.

Marketing 363
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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).

Strategy 290
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6 enterprise DevOps mistakes to avoid

CIO Business Intelligence

Rick Boyce, CTO at AND Digital, underscores how a typical IT project mentality toward DevOps can undercut the CIO’s ability to deliver on business objectives. CIOs may mistakenly underinvest in practices that improve user experiences, increase alignment with business stakeholders, and promote a positive developer experience.

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5 best practices to successfully implement gen AI

CIO Business Intelligence

So, to maximize the ROI of gen AI efforts and investments, it’s important to move from ad-hoc experimentation to a more purposeful strategy and systematic approach to implementation. Here are five best practices to get the most business benefit from gen AI. In this regard, gen AI is no different from other technologies.

ROI 124
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Exploration to elimination: CIO road map for adaptive technology portfolios

CIO Business Intelligence

Key strategies for exploration: Experimentation: Conduct small-scale experiments. Key strategies for evolution: Maintain flexible architecture: Maintain the modularity and scalability of solutions to enable cost-effective capability expansions as requirements evolve. Use minimum viable products (MVPs) to validate concepts.

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10 digital transformation roadblocks — and 5 tips for overcoming them

CIO Business Intelligence

Reimagination of business processes sits at the core of digital transformation, and so, by definition, digital transformation challenges the status quo, throwing we-have-always-done-it-this-way sentiment out of the window. This may require hiring outside experts and/or investing in training and development for existing staff.