A model is only as reliable as the assumptions behind it

The post Who Questions What Works: When Should We Retest Our Assumptions? appeared first on Towards Data Science.

By Tristan Harrison, MD, BearJam Every business experimenting with AI-powered automation eventually asks the same question: how far do we take this? Get it wrong in one direction and you move slowly, while competitors don’t. Get it wrong in the other and you scale problems as fast as you scale output. At BearJam, an AI-powered […]

Corporate compliance becomes more complex as a business adds subsidiaries, enters new states, or changes its ownership structure. Legal staff must keep formation records, annual reports, board actions, and registrations up to date across multiple offices. Early shortcuts often look manageable. Scale exposes the weak points quickly. That pressure explains why many corporations move from […]

Security teams talk constantly about speed and resilience. Fine. Trouble starts after the test ends, when reporting sinks into screenshots, copied notes, and rushed edits. That gap matters. A finding stuck in draft form for days isn’t delayed paperwork. It’s a delayed risk reduction. Attackers don’t pause while consultants clean up language or fix severity […]