Remove creativity Remove data analysis Remove strategy
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How Generative AI Is Transforming Decision-Making: Insights from David Boyle

Paul G. Silva

From Theory to Practice: AI as a Decision-Making Tool David Boyle isn’t just another AI theoristhe’s shaped audience strategy for giants like EMI Music, HarperCollins, BBC, and MasterClass. For more from David Boyle, check out his work at Audience Strategies or explore his PROMPT series of books on practical AI implementation.

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The One Thing Companies Of All Sizes Are Paying Attention To In 2025

Jason Malki

A small consumer tech startup pivoted towards using social media and advertising in their direct-to-consumer approach, requiring a new implementation of content data analysis. Even individual content creators are honing in on performance metrics as a selling mechanism.

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Say Hello to My New AI Marketer: How Gen AI-Based Software Is Advancing Marketing and Sales

Andreessen Horowitz

Marketing is particularly well suited for adopting generative AI because it is an iterative, creative, and dynamic practice that relies on the types of media — texts, images, video — that have driven LLM development. These agents integrate with performance data (e.g., make a product sticky.

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IdeaPAD case study: How do you define and build value for an existing product?

Paul G. Silva

They had an investment information tool for their space, including research and data analysis. They brought together a team that included two company leaders, the product leader, and two data analysts that worked on the project.

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Appetiser’s co-founders discuss building client relationships and getting to MVP

TechCrunch

This may include design, development and growth, but often it’s also strategy, help with fundraising and more. Why does your strategy require defining a minimum viable product (MVP)? Shostak: We’ve spent years refining internal IP based on data to rapidly deliver reliable, high-quality products.

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The industrial data revolution: What founders got wrong

TechCrunch

Joe Hellerstein is co-founder and chief strategy officer of Trifacta and the Jim Gray Chair of Computer Science at UC Berkeley. In February 2010, The Economist published a report called “ Data, data everywhere.” Little did we know then just how simple the data landscape actually was. Joe Hellerstein. Contributor.

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Meme Mapping: Learn to Run Better Creative Tests by Reverse-Engineering Hollywood

Reforge

As platforms like Meta and Google automate most targeting, attribution, and optimization decisions with machine learning, soon the last growth lever left will be creative testing: Which concepts, copy, colors and artwork drive the best results? In this post, I’ll make the case for the rising importance of creative testing.