Thoughts on AI marketing, technical storytelling, developer ecosystems, and the art of making complex technology compelling.
The gap between what AI chips can do and what the market understands is, fundamentally, a marketing problem. As AI silicon vendors race to ship more TOPS and better power efficiency, the narrative rarely keeps pace with the capability. Here's how to bridge it — and why it matters more than your datasheet.
Read Full ArticleHow to position programmable silicon as a first-class citizen in modern AI pipelines — not an afterthought.
Read MoreTactics, channels, and community plays that move the needle with technical, skeptical audiences.
Read MoreMost co-marketing programs die on the vine. Here's the framework I use to make them deliver real pipeline.
Read MoreWhat the Altera rebrand taught me about brand architecture, stakeholder alignment, and timing a market moment.
Read MoreA repeatable framework I've used to launch data center, FPGA, and AI products across global markets.
Read MoreBeyond MQLs — the metrics that actually tell you whether your technical content is driving adoption.
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