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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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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. Leaders must clearly define what they want to achieve through digital transformation and how they plan to do it.

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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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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.

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4 tips to improve employee experiences while maintaining security and governance

CIO Business Intelligence

Improving employee productivity and collaboration is a top business objective, according to the 2023 Foundry Digital Business Study. In this regard, the enterprise browser can serve as a point of dialog between IT and business users to better understand each other’s needs. Caution is king, however.

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4 key roles that define transformational IT leaders today

CIO Business Intelligence

As the role has evolved, we take direct responsibility for business outcomes and responsibility for how business operations are constructed and executed.” This has meant that Sezgin has embraced a culture of innovation and experimentation.

IT 114