Growth pains and common challenges faced by startups
How data-driven startups overcame some of these challenges by using data to its fullest potential securely and cost-effectively
How and why these high growth startups made specific platform choices and how those decisions enabled them to address challenges associated with complex data infrastructure, scale, and performance
And how they enabled collaboration within their organizations by breaking silos between different teams specifically, the data engineering, data science, and ML engineering teams.