Simba Intelligence Wins Best Semantic Layer Solution at the DBTA Reader's Choice Awards

Database Trends and Applications (DBTA) has released its 2026 Readers’ Choice Awards, a competition voted on by DBTA readers to recognize the best information management products, services, and solutions. This year, we’re proud to announce that Simba Intelligence was voted Best Semantic Layer Solution. Here, we discuss the award and why a semantic layer shouldn’t be an afterthought to your data and analytics strategy.

AgentSpot for Finance - Automating Lease Accounting Agent

Discover what’s possible with AgentSpot as Sheila showcases an AI agent ("Leasey") built to automate lease accounting. From analyzing contracts to creating calculations, schedules, and audit documentation, this workflow shows how teams can use agents to streamline everyday business processes. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

From Recommendation to Action: Scaling Autonomous Databricks Optimization in the Enterprise

Every Databricks optimization platform can tell you what should change. The harder question is: when should a system be trusted to make that change on its own? This session follows the journey of an Unravel customer as we moved from surfacing Databricks platform optimization recommendations to safely applying them in production. Prajakta will talk about the engineering decisions, the guardrails, and the trust model that made autonomous optimization possible in an environment where every change carries operational risk.

Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight

Establishing a data warehousing system that meets all your business intelligence targets is by no means an easy task. It traditionally involves profiling source systems, designing a dimensional model by hand, writing the DDL to deploy it, building the load pipelines, and scheduling them to run, work that can take weeks. Astera's manual, step-by-step approach to this is covered in Building a Data Warehouse – A Step by Step Approach.

How to Do Organic Social Media Reporting Across Every Platform Without Blending Vanity Metrics

Organic social reporting collapses into vanity metrics whenever the reporter runs out of time to dive deeper, which is most of the time. Follower counts get compared because they’re comparable at a glance. Engagement rates get quoted because they sound comparable, even though each platform calculates them differently.

Raising the Stakes for Sustainable, AI-ready Infrastructure

Recent headlines are impossible to ignore. AI adoption is driving an enormous surge in demand for energy to power data centers and the storage systems operating within them. Energy constraints have become a primary bottleneck for data center development, with long grid connection queues and capacity backlogs.

Best AI Customer Support Software for Enterprise Teams in 2026

Enterprise customer support has reached an inflection point. The AI customer service market now exceeds $15 billion, and Gartner predicts agentic AI will autonomously resolve 80% of common customer service issues by 2029. Yet many organizations still struggle with platforms that deflect rather than resolve, require months of implementation, or lack the compliance depth needed for regulated industries. The difference between success and failure often comes down to choosing the right AI agent platform.

Accounts Payable Automation Using RPA: How It Works

If you've spent any time researching accounts payable automation, you've probably run into the term RPA — robotic process automation. It's one of the oldest and most widely deployed forms of business automation, and it still plays a real role in AP departments today. But it's also frequently confused with newer, AI-powered approaches to invoice processing. This guide breaks down what RPA actually does in accounts payable, where it holds up, and where it runs out of road.

Building in the Fast Lane: How AI and Internal Innovation Birthed AgentSpot

The journey to AgentSpot didn't start with a traditional product roadmap or a speculative “what if” from our R&D labs. Instead, it was born out of a growing friction within our own walls and became a "frontier R&D project" fueled by engineers exploring the internal potential of generative AI. When we first launched SpotGPT, our internal genAI application (similar to ChatGPT, but trained on internal resources) we saw immediate and massive adoption.