Remove Business Objectives Remove Cost-Benefit Remove Experimentation Remove Marketing
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Bringing an AI Product to Market

O'Reilly on Data

In this article, we turn our attention to the process itself: how do you bring a product to market? Without clarity in metrics, it’s impossible to do meaningful experimentation. Experimentation should show you how your customers use your site, and whether a recommendation engine would help the business.

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). Conduct market research. Test and refine the chatbot.

Strategy 290
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13 IT resolutions for 2024

CIO Business Intelligence

What benefit does AI serve to that department? Bring the whole organization on the AI journey CIOs also see the need to bring everyone along on that AI journey, something that takes a well-articulated narrative about the benefits AI can bring to those who are and will be impacted by the technology. Statistics can be very misleading.

IT 144
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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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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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How to choose the best AI platform

IBM Big Data Hub

AI technology is quickly proving to be a critical component of business intelligence within organizations across industries. Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. What types of features do AI platforms offer?

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The great divide: Separating operations and innovation

CIO Business Intelligence

Focus: Enhanced focus is perhaps the greatest benefit teams stand to gain from a division of responsibilities. When operations and innovation activities reside under the same umbrella, those metrics might be at odds, such as measures of reliability and stability versus those of experimentation. Trade-offs. Advantages. Disadvantages.