Systems | Development | Analytics | API | Testing

In today’s data-driven world, the ability to turn raw data into actionable insights is no longer a nice to have—it’s a necessity to power exemplary citizen service. Singapore’s Smart Nation initiative is built on the idea that data, when utilized effectively, can transform public services and improve lives.

Artificial intelligence has become a driving force behind modern innovation, helping businesses across all industries optimize processes and generate income. But how do you monetize AI usage effectively? Whether you’re integrating AI features into an existing plan or launching entirely new AI products, choosing the right approach can unlock steady revenue growth and strengthen competitive advantage.

If you are working with ML models, having a reliable CI/CD (Continuous Integration and Continuous Deployment) workflow isn’t just a nice-to-have, it’s essential. Your team needs a robust, automated process to validate data, train models, and deploy them without human error slowing things down. That’s where ClearML comes in, offering a seamless solution to orchestrate, monitor, and automate your ML pipelines.

Snowflake is expanding its AI capabilities with the public preview of Cortex Agents, to help retrieve data insights by orchestrating across structured and unstructured datasets. Cortex Agents streamlines agentic application data access and orchestration for more reliable AI-driven decisions by building on top of enhancements to our Cortex AI retrieval services.

About 100 years ago, Austrian economist, Joseph Schumpeter introduced the idea of “creative destruction.” It describes the process by which new innovations and technologies replace and make outdated ones obsolete. It’s an ongoing process that constantly reshapes the economy emphasizing innovation-driven economic development and growth, leading to the dismantling or transformation of old industries and economic structures, and the creation of new ones.

We’re excited to announce an expanded partnership between Confluent and Databricks to dramatically simplify the integration between analytical and operational systems. This is particularly important as enterprises want to shorten the deployment time of AI and real-time data applications. This partnership enables those enterprises to spend less time fussing over siloed data and governance and more time creating value for their customers.

AI is proving that it’s here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that the advertising, media and entertainment industry gets serious about AI's applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AI’s biggest cheerleaders are turning a bit dour.

AI code generation is at a Pareto threshold. The first 80%—writing simple, functional snippets—is relatively straightforward. But the last 20%? That’s where it gets tricky. Building resilient, adaptable systems isn’t just a technical hurdle; it’s a leap of imagination and engineering, similar to the journey toward self-driving cars. Remember when everyone thought fully autonomous vehicles were “just around the corner”?

We at Keboola believe that there can’t be too much efficiency in data engineering. Any data professional would surely agree, there is no such thing as good enough. And while better tools sometimes offer incremental steps, pushing the needle a little step at a time, a combination of tools can lead to impressive synergies. Keboola CLI and Cursor AI are exactly that—a combination that’s more than a sum of its parts.