Databricks research shows multi-step agents consistently outperform single-turn RAG when answers span databases and documents

Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...
Chris Webb's BI Blog

Role-Playing Dimensions In Fabric Direct Lake Semantic Models Revisited

A workaround to allow you to create multiple tables in a Direct Lake semantic model linked to the same table in OneLake ...
Hosted on MSN

I built an Easter sweet table with multiple desserts… now every detail matters

A mini Easter dessert table is assembled using sugar cookies and naked chocolate cakes as the core elements. Each item is prepared separately, requiring control over baking, texture, and consistency.
Security Boulevard

Microsoft’s March Security Update of High-Risk Vulnerability Notice for Multiple Products

Overview On March 11, NSFOCUS CERT detected that Microsoft released the March Security Update patch, which fixed 83 security issues involving widely used products such as Windows, Microsoft Office, ...

SQL Connect Launches Major Platform Upgrade With Expanded Data Connectivity

SQL Connect’s latest release delivers a modernized platform with Salesforce, Snowflake & Oracle ATP/ADW connectivity, multi-language support and audit controls. With this release, we’re delivering on ...
IEEE

Harnessing Attention Weight Tables for Computationally Efficient Multiple Object Tracking With Transformers

Abstract: Transformer-based architectures have introduced end-to-end solutions for Multiple Object Tracking (MOT), seamlessly integrating object detection and association. However, their high ...
CNN

How killing time at a laundromat set Lily Zhang on a path to multiple Olympics

There’s not much you can do when you’re watching your clothes spin round and around, waiting for the laundry to wash and dry. But when Lily Zhang was seven years old, she spent that laundry time ...
IEEE

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types

Abstract: Recent advancements in large language models (LLMs) have significantly improved text-to-SQL systems. However, most datasets and LLM-based methods tend to focus narrowly on SQL generation, ...