In a recent Forbes article, LookDeep CEO Narinder Singh outlined strategies for enterprises to pragmatically evaluate and invest in AI technologies, focusing on cutting through the noise by addressing tough questions head-on.
Move Beyond the Practice Field
AI models can look good in controlled settings but need real-world testing. Ask for data specifics and conduct your own tests to spot any gaps in performance or transparency.
Demand and Support Peer Review
Peer-reviewed evaluations and real-world demos are crucial to assess an AI system’s credibility. Their absence often signals immaturity. We recently submitted the most comprehensive paper from any company for peer review detailing its advancements in AI for Smart Hospitals.
Standards That Create a Level Playing Field
Concrete, actionable standards reduce industry friction and promote fair competition. Avoid broad frameworks that lack depth.
Runtime monitoring = Active Diligence
AI models can drift over time, so consistent evaluation is necessary to prevent biases and inaccuracies.
In conclusion, by focusing on real-world validation, peer reviews, and ongoing monitoring, companies can differentiate genuine AI innovations from hype, ensuring smarter investments and meaningful progress. The article also suggests that frameworks like the FDA’s approach to medical devices could offer valuable guidance for AI risk management.
Discover more of Singh’s articles on Forbes.
