AMA: Okta Senior Manager, Product Marketing, Okta Emerging Products, Elizabeth Baier on AI and Product Marketing

The honest answer is, in just a matter of months it's become critical to how I operate. I run a morning briefing off an AI agent that pulls my calendar, inbox, Slack mentions, and open deliverables — synthesized into a single brief before I open a single app. That alone reclaimed probably 30–45 minutes a day I used to spend triaging, prioritizing, etc. Beyond that, I use it heavily for research synthesis. I market complex products like privileged access management, identity governance, AI agent ...Read More

I believe one of the hardest barriers to overcome is the mental model. AI is no longer just a search engine on steroids. Enablement is key, but it takes time to retrain the brains internally. So, allow time for people to digest the information, apply it, and then ask questions.One thing that's been successful is to have my team think through tasks or routines we do all the time that soaks up time but we feel like it shouldn't. Then we went off to discover how we could automate some of these thin ...Read More

Two things I run into constantly: First, it can't replace my discernment. AI is excellent at synthesizing what's true. It is not good at telling you what matters, or what the one thing is that a CIO is going to remember from your pitch, or when to lead with risk mitigation vs. innovation depending on who's in the room. That's still pattern recognition built from years of customer conversations, deal reviews, and just real-life experience. I'm not sure that's solvable. Second, competitive intelli ...Read More

For me the highest-leverage use cases in order: 1. Internal knowledge synthesis. This is underrated. Most companies have enormous amounts of relevant context locked in Confluence pages, Slack threads, past decks, and deal notes. AI that can work across those sources is more useful to me than any web search. I use Claude connected to my internal systems now and it's how I do most of my market and product research day-to-day. 2. Rapid market + competitive framing. For a new product area or analyst ...Read More