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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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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 361
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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. In some cases, the analytics and intelligence must be computed and acted upon at the edge (Edge Computing, at the point of data collection), as in autonomous vehicles.

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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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Belcorp reimagines R&D with AI

CIO Business Intelligence

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

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The Marketing Analytics Intersect: My Newsletter!

Occam's Razor

I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My newsletter is called The Marketing < > Analytics Intersect. I humbly believe this is a disservice as it results in a lack of focus on what really matters: Business impact.

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Web Analytics Segmentation: Do Or Die, There Is No Try!

Occam's Razor

One of my earliest blog posts extolled the glorious virtues of segmentation: Excellent Analytics Tip#2: Segment Absolutely Everything. Many paid web analytics clickstream analytics tools, even today (!), Web Analytics , the other wonderful free WA tool, had advanced segmentation from day one. If you have Web Analytics 2.0

Analytics 123