Systems | Development | Analytics | API | Testing

Presenting Astera AI: The Agentic Data Stack For Your Enterprise Data Management

As enterprise data increases in volume, variety, and velocity, the need for a new data architecture is becoming clearer. As AI moves from generative to agentic, can enterprises also envision and adopt an agentic data architecture? It’s true that we’re already seeing AI agents implemented in functions such as customer support and marketing. But what if we could do the same for data management?

The Generative AI Boom: Crafting Tomorrow's Careers Today

Generative AI, once a niche area of artificial intelligence, has exploded into the mainstream, captivating the world with its ability to create everything from stunning images and compelling text to realistic music and functional code. Far from being a job destroyer, this revolutionary technology is proving to be a powerful job creator, forging entirely new career paths and redefining existing ones across virtually every industry. If you're looking to future-proof your career and ride the wave of innovation, understanding how Generative AI is shaping the job market is crucial.

Cortex Agents | Built[By] Danmei Xu

Cortex Agents are changing how Snowflake customers access insights across structured and unstructured data—but they didn’t build themselves. In this Built spotlight, Senior Software Engineer Danmei Xu shares how her team brought Cortex Agents to life by combining powerful LLMs, retrieval systems, and thoughtful orchestration.

Connect APIs to AI Agents: Expose, Discover and Manage MCP Servers with Bijira

The API landscape is evolving rapidly with some protocols rising in popularity while others fade away. The journey that started with SOAP has now evolved into other protocols like REST, GraphQL, gRPC, AsyncAPIs, and more. With the emergence of large language models (LLMs), we are now in the era of AI agent/assistant integrations with APIs. LLMs are power utilities. However, they operate without contextual awareness.

Maximizing GPU Utilization with ClearML's Dynamic Fractional GPUs: Unleashing the Full Power of Your AI Infrastructure

In the world of AI, GPUs have become the undisputed workhorses of innovation. From training deep learning models to accelerating agentic workflows, digital twins, and scientific simulations, these powerful accelerators are indispensable. However, the immense computational power of GPUs comes with a significant investment.

Developer Experience in the Age of AI: Developing a Copilot Chat Extension for Data Streaming Engineers

Three in 4 programmers have tried artificial intelligence (AI). This factoid comes from a recent Wired survey on the habits of engineers with respect to AI tooling like GitHub Copilot. Though Wired used a pool of only around 700 engineers, Gartner’s prediction from a year ago was that 75% of enterprise software engineers would use AI by 2028. To many of us, it’s starting to feel like that’s already happened.

Confluent and Amazon EventBridge for Broad Event Distribution

Confluent has established itself as a leader in event streaming, providing not only a robust platform but also a rich portfolio of pre-built connectors. These connectors act as bridges, effortlessly channeling data between a multitude of systems, from databases and applications to cloud services. This extensive portfolio empowers users to weave together their data landscapes with remarkable ease and flexibility.

Unified Data And AI: Elevating Telecom Customer Experiences

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions, is joined by Soren Marklund, Vice President of Global Services, Technology Consulting, and AI Data Strategy at Ericsson. They explore how Ericsson leverages modern data architectures to enhance customer interactions and drive business benefits. The discussion covers the importance of a unified data operating model, challenges faced with data silos, and the role of AI and machine learning in improving customer service.

Next-gen FinTech Software Development in 2025

Fintech had a busy year in 2024. Global companies like HDFC, SBI, Paytm, and Google are eliminating the need for traditional financial intermediaries and utilising the best fintech software development companies to provide customers with almost anything, including banking, insurance, credit, mortgages, and more. The invention that gave rise to financial technology, or Fintech, seemed like science fiction even ten years ago.