Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Knowledge Management Challenges and Building Advanced Digital Assistants at Morgan Stanley

Knowledge Management Challenges and Building Advanced Digital Assistants at Morgan Stanley

by Josh Tyson
1 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

Jeff McMillan and David Wu of Morgan Stanley join Robb and Josh for a deep dive into the technical work and strategic initiatives that allowed the global investment bank to create a knowledge base that’s allowing them to take a massive leap forward with conversational AI. As the Head of AI and the Head of Knowledge Management & Generative AI respectively, Jeff and David led the creation of an intelligent digital assistant that is making their advisors smarter and saving them time.

Partnering with OpenAI in the months before ChatGPT was released, Morgan Stanley was able to rebuild their existing content using generative AI and relational databases. This is a deep dive into the technical work and strategic planning required to leverage conversational AI in ways that become a force multiplier within an organization. Don’t miss this high-value episode of Invisible Machines.

Check out the episode here.

post authorJosh Tyson

Josh Tyson
Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

Find out why slapping gamification on your product without first selecting a genre is the silent killer of your engagement strategy.

Article by Montgomery Singman
Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 3: The Framework
  • The article argues that “adding gamification” without selecting a genre is akin to “adding music” without referencing jazz or heavy metal: a category error that most product teams never realize they’re making.
  • It contends that different game genres are not just aesthetic choices; they are fundamentally different motivational architectures, and mapping your product to the wrong one is why most gamification fails.
Share:Gamification 2.0. Beyond Points and Badges: Designing for Players, Not Metrics. Chapter 3: The Framework
19 min read

Learn why shipping AI features is the easy part and what it takes to get people to trust them.

Article by Anina Botha
Making the Invisible, Visible: 6 Months of Diving Deeper into AI
  • The piece states that building AI features is easy. But building them on purpose, turning invisible human behaviors like trust and bias into deliberate design choices, is where the work lives.
Share:Making the Invisible, Visible: 6 Months of Diving Deeper into AI
4 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Get Paid to Test AI Products

Earn an average of $100 per test by reviewing AI-first product experiences and sharing your feedback.

    Tell us about you. Enroll in the course.

      This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and