Systems | Development | Analytics | API | Testing

Zero-ETL Database APIs: Live Data Without Data Movement | DreamFactory

Zero-ETL Database APIs let you access live data instantly without needing traditional ETL processes. Instead of extracting, transforming, and loading data, these APIs query databases directly in real-time, significantly reducing delays that can span hours. Key features include federated querying (accessing multiple data sources simultaneously) and schema-on-read (applying schemas dynamically during queries).

ClearML + NVIDIA Cosmos: ClearML Launches One Platform for NVIDIA Cosmos Deployment and the NVIDIA Video Search & Summarization Blueprint

ClearML’s out-of-the-box NVIDIA NIM integration brings NVIDIA Cosmos Reason 2 into production in minutes, providing the complete infrastructure, orchestration, vector database, and security stack to run NVIDIA Video Search & Summarization blueprint at enterprise scale.

The Rise of the Open Security Lake: Why CISOs Are Betting on Open Table Formats

As we head into the RSA Conference this year, the conversation on the show floor is going to be different. Yes, artificial intelligence (AI) will be everywhere. But if you listen closely to the C-suite discussions happening behind closed doors, the real buzz isn't just about the newest detection algorithm. It’s about data gravity and the unprecedented data explosion driven by AI-fueled bad actors.

Complete Guide to Testing LLM-Powered Applications

Your AI chatbot might give a customer the wrong price. A RAG-based support agent might cite a document that doesn’t exist. An AI coding assistant might suggest code with a security problem. These issues are common for teams releasing LLM features without proper testing. The reality is that many teams using GPT, Claude, or Gemini don’t have a strong testing strategy. They usually do a few manual checks or simple prompt tests and assume it’s enough.

AI Portfolio Management: Governing AI Investments at Scale

Are you still evaluating when and how to implement AI across your asset and wealth management operations? While many organizations remain in the planning stage, others have already started integrating AI into their decision-making frameworks because AI adoption in the FinTech space has matured enough. According to the PwC Asset & Wealth Management Report, firms adopting AI-led transformation could see up to a 12% revenue increase by 2028.

Beyond the Hype: Is Your Organization Ready for AI at Scale?

According to Perforce's 2026 State of DevOps report, there is a direct correlation between DevOps maturity and AI success. In a highly mature DevOps environment, AI accelerates innovation, optimizes workflows, and enhances security. In an immature environment, it scales chaos, multiplies risk, and inflates costs. So, before we ask ourselves how to make the most of our AI solutions, we must assess if our foundational processes are prepared for the challenge ahead.

Unlocking Intelligence: How AI-Assisted Insights Transform Embedded Analytics

The data visualization landscape is experiencing a seismic shift. No longer is it enough to simply present dashboards filled with colorful charts and metrics. Today's decision-makers need something more powerful: the ability to understand what their data actually means, why trends are occurring, and what actions to take next.

The State of Real Estate Data: Perspectives From Industry Leaders

For years, real estate has been described as a data-rich industry. But in practice, most organizations still struggle to collect, trust, and use their data at scale. Across multiple episodes of the Innovation Blueprint podcast, founders, CEOs, and operators repeatedly came back to the same conclusion: the real challenge in real estate isn’t analytics or AI — it’s data foundations.