Due to a long-standing data science talent shortage, only the most well-resourced companies have appropriately staffed teams to organize, govern, and analyze data effectively. With the introduction of generative AI, this talent shortage has created a growing divide between the haves and have-nots. The haves consist of a small group of companies with the talent and tech required to manage and use their data to build AI-powered products effectively. But most companies fall into the have-nots, lacking the tech or talent to manage their data, not to mention leverage AI effectively. This is the AI divide. In this session, Amplitude Chief Product Officer Francois Ajenstat will share best practices to help companies get their data in order now to avoid being left behind.
