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The History of Time (AI)

Streams of binary code flowing into a grid of glowing digital images, representing the evolution of AI

Everyone says they need to be using AI, but “AI” isn’t one thing. It’s four distinct waves that have been building for more than 70 years: machine learning, deep learning, generative AI, and agentic AI. Each solves a different problem and depends on a different kind of data. This guide explains how each wave works, where it fits in B2B commerce, and how to choose the right one for the job, so you’re not paying premium prices for work a simpler tool could handle.

5 Essential Criteria for Selecting Your AI Partner

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Selecting the right AI partner can determine whether an AI initiative delivers measurable value or becomes an expensive experiment. This article outlines five essential criteria B2B manufacturers, distributors, and wholesalers should consider when choosing an AI partner, from defining clear business outcomes and establishing governance to realistic budgeting, data readiness, and long-term support.

Learn how the right approach can reduce risk, control costs, and turn AI into a practical tool for improving operations and driving growth.

AI Readiness Series Part 7: Monitor, Measure, & Fine-Tune Your AI Performance

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Monitoring AI performance is essential for maintaining accuracy, controlling costs, and ensuring long-term business value. This article explains how to measure key AI performance metrics – including accuracy, adoption, speed, business impact, and cost efficiency – to keep AI systems reliable and aligned with changing business needs.

Discover how continuous monitoring, feedback loops, and system optimization help B2B organizations improve AI performance, increase user adoption, and maximize ROI long after deployment.

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The History of Time (AI)

5 Essential Criteria for Selecting Your AI Partner

AI Readiness Series Part 7: Monitor, Measure, & Fine-Tune Your AI Performance

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