Is your organization’s data scattered across dozens of disparate systems? Does your analytics team spend more time cleaning data than generating insights—ultimately impacting business processes
Data Product Managers are at the forefront of the modern, data-driven business landscape. They are vital in transforming raw data into actionable insights and products
It’s not a matter of if generative AI will impact your industry, it’s a matter of how large the impact will be. McKinsey found that
In the rush to deploy Large Language Models (LLMs), companies often focus on the glamorous parts—the impressive capabilities, the transformative potential, and the competitive edge.
The process of integrating a Large Language Model (LLM) into your business is overwhelming, especially if this is your first time attempting it. While the
Large language models (LLMs) are the unsung heroes of recent Generative AI advancements, quietly working behind the scenes to understand and generate language as we
This article breaks down the exact process I’ve used to select, modify, and apply small language models to dozens of use cases in my work.
As businesses add more artificial intelligence (AI) tools to their tech stack, the more disjointed and siloed their work with AI becomes, creating an operational
Major tech companies like Microsoft, Google, Coca-Cola, and Spotify are championing AI, integrating it into various aspects of their businesses, from content generation to product
You don’t get into business to lose to your competitors. But every day your team doesn’t embrace GenAI into their work is a day you
