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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 290
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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. It helps companies operate more efficiently, tap larger markets of customers, and solve some of their most complex challenges. In 2023, big data Is no longer a luxury. However, there are even more important benefits of using big data during a bad economy.

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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. Below, we highlight how qualitative and quantitative data can improve our marketing strategy.

Marketing 130
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The New GTM Playbook: 18 Ways to Future-Proof Your Sales Team

Economic uncertainty. Go-to-market teams of every size, in every industry, are grappling with these challenges firsthand. 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.

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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. Make decisions that enable—not constrain— scale Even if your organization isn’t yet as “all in” on AI as John Deere, you share the same market context. Whatever you conclude won’t actually matter.

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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.”