Databricks built a RAG agent it says can handle every kind of enterprise search

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.
InfoWorld

The revenge of SQL: How a 50-year-old language reinvents itself

From the browser to the back end, the ‘boring’ choice is exciting again. We look at three trends converging to bring SQL back ...
North Penn Now

The Core Benefits of Working with a Certified Databricks Consulting Partner

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...
IEEE

Mobility-Aware Federated Learning: Optimizing Performance with Interpretable Models and Wireless Channel Resource Allocation

Abstract: The integration of the Internet of Things (IoT) with Federated Learning (FL) offers a transformative approach to addressing the challenges of massive data processing and privacy preservation ...