I gave two talks at Dreamforce, a show where the stakeholder who matters most never came up
I spoke twice at Dreamforce this year. The first talk was about a category gap: agents are the new front…
I spoke twice at Dreamforce this year. The first talk was about a category gap: agents are the new front…
Part 2 of 2. Part 1: We replaced mmap with io_uring in our Rust query engine. It got slower. Part…
In the beginning, there was mmap. It was convenient: it let us lazily read huge numbers of Arrow IPC files…
Conviva research finds that consumer-facing agents spend an average of two minutes and 32 seconds establishing basic context before they can address a customer's actual request.
Download our report today to dig into the research and discover critical insights into how consumer-facing AI agents can make or break your relationship with customers.
New data shows that two-thirds of your most valuable customers take journeys your analytics were never built to see. The implications for AI agent design — and the analytics infrastructure behind them — are significant.
Events are what happened. Behavior is what it means. In the era of AI-mediated commerce, understanding the second is what matters.
Context graphs are essential for consumer-facing AI agents. Learn how they work — and what it takes to build a good one
Funnel vision isn't a configuration problem or a dashboard gap. It's a structural consequence of using a measurement model designed for a straight-line journey to describe a buying behavior that is almost never straight-line.
Download Conviva's State of Digital Experience 2026 to find out what consumers actually do rather than what funnel models assume they do.
Everything eCommerce and AI teams were talking about at ShopTalk — and what to do about it.
Pattern analytics surfaces behavioral sequences your current stack misses. Learn how stateful, real-time intelligence differs from event-based analytics.