Design, along with every other industry, is being disrupted by AI.

It’s particularly true for finance where large data sets makes data visualization essential to extracting insights.

With that in mind, design firm Two-N sponsored the first of a series of data salons to share insights and encourage a dialogue about shifts in the landscape. I helped moderate the event.

Three speakers spoke about specific challenges that companies face as they seek to take advantage of new, large collections of data and make it accessible to help their customers.

Clara Vydyanath, founder of 32 Cents, a club for women to invest in alternative assets from hedge funds to venture capital, stressed the need for inclusive design principles.

Vydyanath, who previously worked at Credit Suisse and JPMorgan, argued that most financial sites are designed for men and miss out on a huge opportunity to connect with women, who increasingly control larger amounts of wealth.

Hermann Zschiegner, Principal at Two-N, explained that the emergence of conversational user interfaces (CUIs) signals a new era for data visualization that will enable designers to tell stories through applications that are more personalized.

Previously, computers relied on text-based interfaces and graphical user interfaces (GUIs) to navigate and access features. CUIs will transform more applications into personal assistants.

Matt Macomber, Senior Vice President and Head of Digital Wealth for the Americas at Franklin Templeton, more intuitive digital products are key for firms to help clients manage the massive generational wealth transfer from baby boomers to Gen X and Millennials.

Macomber said that financial advisors are especially focused on tools that can provide an easier way to “see the numbers” and convey more valuable insights to clients. That will free up FAs to spend more of their time focused on advising customers about big life events.

Natalie Erdem, a Principal at Two-N, said that the design firm plans to do more events in the future focusing on themes such as Femtech , healthcare, election data and AI.