Next-Gen Tech

4 lessons every leader needs to know about using generative AI

Now that we’re more than a year into GenAI, what have we learned? It has the potential to revolutionize customer experiences, streamline operations, and harness data more efficiently. Guardrails within the technology, as well as safe practices within a company’s culture, are essential for safe and accurate use of GenAI tools.

Broadridge brought together three experts at the front lines of GenAI, each solving real-world problems and steering the course for this technology. The webinar Generative AI: Lessons from the front line discussed the power of GenAI to democratize innovation, what constitutes great use of the technology, and how to enable employees across the organization to use it.

Here are four insights to consider on your GenAI journey.

1. GenAI is a force for democratizing innovation


Listen to what Roger Burkhardt Chief Technology Officer, Capital Markets and AI at Broadridge has to say about AI’s past and present: where it’s succeeded, where pilots have gotten stuck on the shelf, and the excitement he has about the technology’s radical democratization for financial services and beyond.


2. Great GenAI is built around the user


With GenAI, understanding your user’s intent means setting what your tool can and can’t answer, and preventing users from interfering with the model – all while providing meaningful output.

Here’s what Joseph Lo, Head of Enterprise Platforms at Broadridge learned while delivering Broadridge’s BondGPT — a generative AI application for corporate bond trading.


3. GenAI’s not just for developers


AI Enablers across your organization can translate what GenAI means to their area of the business. They play a big role in educating teams. When done right, AI Enablers can foster a company-wide AI culture that boosts adoption and helps advance digital transformation efforts, Lo says.


4. GenAI is one of many AI tools


Burkhardt recommends teaching teams how to think about and use GenAI: what it can do, what it can't, and why it's critical to use it for its specific purposes in order to get the most out of the technology.