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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). Test early and often. Expect continuous improvement.

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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Top 10 Data Innovation Trends During 2020

Rocket-Powered Data Science

MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase. However, it is far from perfect, since it certainly does not have reasoning skills, and it also loses its “train of thought” after several paragraphs (e.g.,

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What high-performance IT teams look like today — and how to build one

CIO Business Intelligence

We’re now entering a new gen AI era, which is already impacting how we staff teams, their business objectives, and the tools they use to deliver innovations. As many organizations were accelerating digital transformation initiatives, the higher-performing teams excelled at change management and agile planning practices.

IT 141
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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.

ROI 124