in-house
Beyond Market Intelligence keeps in-house in one place: 3 stories so far. The section currently leads with “How academic research shaped the AI tools powering today's industry”, “Banks hold family wealth longer when heirs get early account access”, and “Meta's Custom AI Chip Targets Smarter, Faster Recommendation Models”. Between 2012 and 2018, academic research set the standard for industry. Handing the next generation account access early is a quiet form of wealth preservation. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every in-house story on Beyond Market Intelligence, newest first.
How academic research shaped the AI tools powering today's industry
Between 2012 and 2018, academic research set the standard for industry. Algorithms like ADAM and TRPO came out of universities and became the tools powering real-world applications. That relationship has shifted. Industry now generates many of its own ideas internally, and the flood of follow-up papers from academia often meets indifference. Thousands of new optimization routines have been proposed, yet serious adoption is rare. This divergence raises a real question for researchers: what is the value of work that isn't acknowledged or used?
Banks hold family wealth longer when heirs get early account access
Handing the next generation account access early is a quiet form of wealth preservation. When heirs can see documents and navigate balances before they inherit, they learn stewardship while the original account holder is still there to guide them. Prismm makes that possible with designated family access, turning a future handover into an ongoing conversation. It is practical, human-centered, and far more effective than a sudden transfer.
Meta's Custom AI Chip Targets Smarter, Faster Recommendation Models
Meta's move to build MTIA 300, its first in-house accelerator for ranking and recommendation models, signals a deliberate step beyond compute and into networking. It's a smart evolution for a company that understands how much latency shapes user experience. By owning more of the stack, Meta isn't just chasing efficiency; it's reducing dependence on off-the-shelf parts. That kind of control tends to pay off.