Systems | Development | Analytics | API | Testing

If 2024 was the year enterprises adopted Generative AI, 2025 is the year Agentic AI became a reality. In the last six months, the conversations I’m having with engineering leaders have quickly shifted from simple chatbots to AI-enabled IDEs, copilots and autonomous systems that take action. This has to a large part been helped thanks to MCP. To date there have been 10,000+ MCP integrations built by the community, so to say it is a success is an understatement.

Healthcare organizations using Cerner Millennium (Oracle Health) struggle with integrating data trapped in complex databases and proprietary systems. Building custom APIs or integrations can be time-consuming, costly, and risky — especially when patient privacy and compliance are on the line.

The real estate industry today is no longer defined by physical site visits or paper-heavy transactions, rather, it’s now powered by digital ecosystems that simplify, accelerate, and personalize every property experience. From AI-driven property recommendations and virtual tours to secure digital escrow, rental management, and instant documentation, technology is reshaping how people discover, buy, sell, and manage real estate.

Have you ever stared at a section of code and felt lost, even though it seemed straightforward at first glance? Many developers have faced this challenge – where understanding, testing, or modifying code feels harder than it should. This difficulty is what we refer to as code complexity, a factor that directly affects software quality, maintainability, and performance.

Every business uses its own unique stack of tools to run marketing, sales, customer support, finance, operations, and more. And while each tool plays an important role, the data they generate stays spread across systems that don’t “talk” to each other well: While Databox already connects to 130+ of the most popular tools, some teams need access to a broader range of integrations and more flexibility to prepare their data for analysis.

As you wrap up Cybersecurity Awareness Month, take a moment to think about what defense and compliance really share; protecting data you can trust and proving it when it counts. It’s also important to remember that if that data gets called into question, nobody cares what the slide deck says. They care what the system that stores it can prove. That makes it essential to have data infrastructure that can back it up.