AMA: Capital One Director, Product, Mona Salvi on AI Product Management

The conversation around AI is increasingly converging on a shared-accountability model. AI agents cannot be legally liable on their own, accountability always traces back...

Managing safety, security, and compliance for autonomous AI isn’t fundamentally different from how we approach secure coding or product security today, it’s the same mind...

My #1 mantra for successful products: Know your customer, focus on your customer pain points and leverage data from the pain points to priroitize things that matter most!...

Certifications and training can help, however certifications alone are not enough. In my opinion, staying ahead means applying AI strategically, understanding risks, and ...

It really depends on the problem you are trying to solve. Some examples below. However across all domains, traction generally comes from:Augmenting human expertise, Autom...

Hiring managers are increasingly thinking about AI in two complementary ways when evaluating candidates:AI‑enhanced skill sets: Candidates who can leverage AI to amplify ...

As a CyberSecurity Product leader, I am closely monitoring emerging AI and machine learning trends that could directly enhance security, efficiency, and product trust. A ...

As AI increases code output, our security programs need to go beyond tracking coverage and count of vuklknerabilities into understanding real exploitability and impact. T...

To be effective in AI strategy and product management, PMs need to build skills that go beyond just managing work for engineers. Great PMs need to exhibit skills that sho...

Shipping agents will be table stakes. However winning will be for those who build keeping trust, context awareness, and accountability in mind, not just autonomy alone. F...