Over the past year, we’ve been dedicated to making Databox faster and more powerful for you and your team. We’ve introduced new features, visualizations, and integrations to help you leverage your data to make better decisions. In case you missed any of these updates, we’ve put together a roundup of the top highlights from 2024.

Heuristics is the key to turn you into the Turkish Olympic guy. It is something that comes with experience. At a certain point, experts all develop that “sense” in their field of work. Repeated exposure to hundreds of problems helps them recognize patterns that beginners don’t easily see. Heuristics is not always foolproof, but it's good for immediate problem-solving.

Before we dive in, we want to remind our readers that the Konnect engineering team actively uses Kong products like Kong Gateway, Kong Mesh, and Insomnia. In this post, we'll showcase the power of Kong Gateway and two plugins — the JQ and Request Transformer Advanced Plugins — to govern and configure APIs, and explain how it played, and continues to play, a crucial role in the release of a new v2 Konnect API specification. The key takeaway here is: don’t do more work than is necessary.

What if a single software glitch could cost your company millions? In today’s digital world, that’s not just a possibility – it’s reality. As businesses double down on digital-first strategies, software powers everything from critical infrastructure to day-to-day consumer experiences. Even minor bugs can cause massive disruptions, halt business operations, and compromise customer trust. The margin for error has never been smaller.

According to Gartner, ‘By 2026, the market for software that enables hyper-automation will reach nearly $1.04 trillion, with a CAGR of 11.9%. Demand for hyper-automation is driven by a strong need for digital transformation due to talent shortages, increasing economic pressures, and competitive challenges.’

With the globe becoming more and more digitally linked, mobile applications are becoming an essential part of our everyday life. We use smartphone applications for a wide range of purposes, from healthcare and education to banking and shopping. It's important to understand, though, that not everyone uses these applications in the same manner.

Businesses face an ever-growing challenge: how to protect and manage their most valuable asset – their data. As organizations scale and digital transformation accelerates, the volume generated daily is staggering. IDC predicts that the global datasphere will grow to 175 zettabytes by 2025, requiring a substantial increase in storage capacity across the industry.

Privacy is no longer a growing requirement for doing business — it's the new status quo. The stakes for not protecting it have only intensified. Consumers have been demanding greater control and privacy over their data for years, and now vast numbers are taking action to protect it, turning off tracking, using cookieless environments and relying on ad blockers at rapidly increasing rates.

For insurance companies, balancing customer expectations with the rigorous requirements necessary to mitigate risks poses a challenge. Especially when you’re using manual underwriting processes. By turning to artificial intelligence (AI) in insurance underwriting, you avoid costly delays, streamline your employees’ processes, improve accuracy, and create an optimal customer experience. In this blog post, you’ll learn how AI facilitates greater efficiency in underwriting.

BigQuery vector search, now GA, empowers data and AI use cases such as semantic search, similarity detection, and RAG with an LLM.