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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 289
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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As That, in turn, led to a slew of manual processes to make descriptive analysis of the test results. This allowed us to derive insights more easily.”

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10 Ways Organizations Can Prepare for Changes Brought on by the IoT

Smart Data Collective

Here are some benefits of adapting to a new business model in an era driven by the IoT. Test your leadership’s ability to handle working in a new environment shaped by the IoT. Many business leaders have a knack for traditional processes. Business managers should consider change as a test. Another change.

IoT 115
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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.