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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. I suggest that the simplest business strategy starts with answering three basic questions: What? Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt).

Strategy 289
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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

Big data technology used to be a luxury for small business owners. In 2023, big data Is no longer a luxury. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. However, there are even more important benefits of using big data during a bad economy.

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Uncertainties: Statistical, Representational, Interventional

The Unofficial Google Data Science Blog

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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The New GTM Playbook: 18 Ways to Future-Proof Your Sales Team

Economic uncertainty. We’ve developed an entirely new way for GTM leaders to identify and execute proven, data-driven strategies that drive revenue. Increasingly discerning buyers. More meetings. Intensifying competition. Go-to-market teams of every size, in every industry, are grappling with these challenges firsthand.

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This is the easiest AI strategy decision you’ll ever make

CIO Business Intelligence

But we don’t necessarily see this with AI-driven models, in which the return on scale can continue to climb to previously unheard-of levels. The easiest decision at the intersection of business and technology strategy you will ever need to make about AI is to commit to ensuring your tech stack will never constrain the scale you can achieve.

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One weird trick to accelerate your organization’s generative AI strategy

CIO Business Intelligence

Bryan Kirschner, Vice President, Strategy at DataStax Ignoring the potential of generative AI to increase productivity is a surefire way to fall behind as an individual, a team, and an organization. The most powerful framework I’ve found for effective strategic thinking is what Roger Martin calls the “strategy choice cascade.”