Arman Eshraghi, CEO and Founder of Qrvey, hosts a podcast, “SaaS Scaled.” Our latest episode featured Michael Katz, CEO and Co-founder of mParticle an AI-powered customer data platform. You can watch or listen to the podcast here and we’ve covered some highlights of their discussion below.

Democratizing Access to Data Tools & AI

Michael continued, “The tricky thing about AI is that it benefits the entrenched. The larger enterprises with existing data infrastructure and data engineers have an inherent advantage. But much of what we’re focused on today is democratizing access to the same sets of tools and resources used by the world’s largest companies, like Facebook, Google, and Netflix.”

Michael also noted that even when you think you’ve solved challenges with data, that state doesn’t persist. There are always new challenges and changes can lead to a cascade of consequences.

“Teams are drowning in data. What they’re not drowning in is talent.

“We see a huge opportunity in helping bridge that divide between the haves and have-nots. Through automation, we can up-level existing resources for companies and help make them more strategic so they’re not constantly in the muck.”

Opportunities and Threats of AI

Michael continued, “We should be able to automate things and make them much more objective. Imagine if you could tap into everything that you experienced in your life that’s stored in your subconscious, having that accessible in real time in an objective capacity.

“It should provide an opportunity for smart, creative, thoughtful people to get out of the low value-add activity and be more strategic. While it’s going to benefit a lot of people, I also think it’s a threat to some people if their work could be automated and they’re not committed to continuing to grow and learn.”

What Generative AI Can Never Do

“Sometimes human intuition does win, especially when we’re talking creative output. Generative AI, like ChatGPT, could never have come up with Nike’s ‘Just Do It’ campaign. You still need human intuition to create statements that stand out from the average of everything that gets dumped into the data blender.”

Michael and Arman concluded by discussing companies that will break out. Winners will build a strong foundation of first-party data and use it to get close and stay close to their customers and provide them with better experiences. Specifically, they will:

  • Create feedback loops
  • Improve their processes
  • Systematize their business with high quality information
  • Automate what gets repeated

They will win among the winners.

As one proof point, McDonald’s is at an all-time high in terms of enterprise value. Much of their expansion is driven by automation and intelligence, of which mParticle has played a part.


You can listen to more SaaS Scaled podcasts here.


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