With the release of Google's Gemini 1.5 research model and it's 10M context window, we discuss what this means for enterprise use cases.

Data rationalization is a crucial process in maintaining data integrity and streamlining business intelligence. This blog post outlines a comprehensive approach to transforming messy data into a valuable resource, focusing on product data but applicable to any data category prone to duplication.

We delve into the recent upheaval in the AI industry, detailing the firing and subsequent hiring by Microsoft of Open AI's top executives, Sam Altman and Greg Brockman. We explore the implications of these moves on the industry's dynamics and Attainable Edge's strategic response, highlighting the significance of scaling laws in AI development and Microsoft's advantageous position in the evolving landscape.

Applications for understanding the actual meaning of text - and how to apply them to solve business problems.