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Object-relational mappers (ORMs) were widely adopted because they abstracted away the need to deal with databases as separate, different things. You could just define your models,...
This is one of the first studies on Oracle 26 AI, which was launched in January 2026. Instead of writing complex SQL queries, Oracle Autonomous Database introduced Oracle 26ai, whi...
New dbForge release improves AI-powered SQL generation and adds PostgreSQL visual query building and table editing Devart, a developer of database management and development soluti...
Code breaks data. At least it used to. Data teams write SQL transformations to shape raw data for downstream use cases. When those queries change, they can rupture dependencies or...
Most AI + ERP demos start with the same pattern: Connect an LLM to a database. Show it the schema. Ask it to generate SQL. Execute the SQL. Summarize the rows. For a toy databa...
The idea of “asking data questions in plain English” has been around for a while, but most implementations never made it into production in a serious way. The usual reason is not t...
As part of my wider work exploring Claude Code and AI-assisted database engineering, I have been looking at how AI can support SQL Server operations. A failed job, missed... The po...
In this post, we show how to build an Amazon Aurora DSQL database agent that other AI agents can discover and query through natural language using the A2A protocol. You’ll walk thr...
Artificial Intelligence is rapidly transforming the world of Microsoft Dynamics 365 Business Central. Today, AI tools can generate AL code, create Business Central extensions, buil...
Stuart Gentle Publisher at Onrec 08 May 2026|News archiveGenAI Testing Tools Shaping Modern Software QAGenerative AI is beginning to transform how software testing is done. Tradit...
In this article, I will attempt to explain why retrieval-agumented generation (RAG) fails when retrieval is treated as a one-size-fits-all approach. For example, the internal AI as...
Building meaningful dashboards demands hours of manual setup, even for experienced BI professionals. Amazon Quick now generates complete multi-sheet dashboards from natural languag...
Enterprise teams have been quick to embrace text-to-SQL as the go-to shortcut for building data-driven AI agents, but according to
<div><img width="300" height="157" src="https://blogs.vmware.com/wp-content/uploads/2026/04/VMware-Tanzu-Data-Intelligence.png" class="a...
Despite what the headlines would have you believe, artificial intelligence (AI) isn’t new. The term and early technology date back to the 1950s, but generative AI (which emerged in...
When Miro’s data team pointed AI agents directly at its Snowflake environment, the agents got the wrong answer more than 65% of the time. The problem wasn’t the model — it was cont...
We are rewarding teams for how fast they generate code instead of how deeply they understand systems. Right now, developers can create APIs, microservices, cloud deployments, datab...
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Databricks Genie introduces a new model for data platforms by enabling conversational analytics directly within the Databricks ecosystem. Instead of starting with SQL, users can st...
<div><img width="300" height="224" src="https://blogs.vmware.com/wp-content/uploads/2026/04/Screenshot-2026-04-06-at-11.03.59-AM.png" class=&...
QueryData launches in preview today. It is a tool for translating natural language into database queries with near-100% accuracy. With QueryData, you can build agentic experiences...
There’s a question I’ve been hearing more and more lately, especially as Copilot, Fabric, and Fabric data agents become part of everyday conversations with customers: will GenAI re...
In this post, we demonstrate two approaches to fine-tune Amazon Nova Micro for custom SQL dialect generation to deliver both cost efficiency and production ready performance.
In 1994, Peter Deutsch published the Fallacies of Distributed Computing — eight assumptions that every developer building distributed systems makes, discovers are wrong, and pays f...
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