Rebuilding the data stack for AI

It sounds like Databricks and Infosys have been working together to help enterprises integrate more sophisticated AI applications by providing frameworks and tools that address both data readiness and business value. Here are some key points from your conversation:

Frameworks and Tools

1. Value Management:

   • Infosys and Databricks have developed a framework that starts with defining the value of AI projects.
   • They use a 3M measurement framework (adaptability, business value, responsible) to ensure projects are measurable and aligned with business goals.

2. Data Readiness:

   • The collaboration includes preparing data for AI applications by integrating both structured and unstructured data.
   • Tools like Unity Catalog and open formats in Databricks help make the data available and accessible.

3. Operational Database (Lakebase):

   • Databricks has introduced Lakebase, an operational database designed to support AI agents and applications.
   • This platform separates compute and storage, providing a cost-effective solution for real-time operations needed by AI agents.

Impact on Enterprises

1. Comprehensive Framework:
   • The framework includes value management, data readiness, and leveraging Databricks' tools like Unity Catalog and Lakebase.

Read the full article at MIT Tech Review

---

Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.