logic
logic on Beyond Market Intelligence: a running collection of 3 stories we have gathered and hand-picked because they are worth your time. Every post here touches on logic in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around logic, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Add up bills in date range using only the day
Need to automate bill aggregation in your budget spreadsheet? You're aiming to pull bill amounts based on due dates falling within a weekly timeframe, specifically between a Friday payday and the following Friday. While `SUMIF` can be useful, a more tailored formula is needed to achieve this. Explore leveraging `SUMIFS` to filter by both the day of the month and your payday reference date.

5 Tools for Building and Deploying AI Agents in Production
Navigating the complexities of AI agent deployment can be streamlined with the right tools. This article provides a concise overview of five essential tools, each addressing a critical layer in the agent development stack—from core logic construction to scalable runtime environments. We’ll explore options designed to empower your data journey, ensuring a smooth transition from concept to production. For a deeper look at the foundational importance of data in AI success, see our related piece, "AI isn’t close to curing cancer.

Analog AI Is Back, But Can It Survive Its Own Noise?
The resurgence of analog AI presents a compelling solution to AI's escalating energy demands, leveraging physics rather than digital logic for computation. This exploration delves into how these chips function, revisiting a technology previously hampered by inherent noise. We examine the challenges that nearly sidelined analog computing and demonstrate the impact of simulated noise firsthand. For a broader perspective on AI deployment challenges, see "QCon AI Boston: Production AI Moves Beyond Prompts to Platforms, Harnesses, and Evals."