Systems | Development | Analytics | API | Testing

From API Automation to Data AI Gateway: Why DreamFactory's Evolution Matters Now

DreamFactory has transformed from a basic API automation tool into a Data AI Gateway, addressing modern enterprise challenges like managing APIs, integrating data, and ensuring security. Here's why this evolution is important: API Management Simplified: DreamFactory generates secure REST APIs for databases in just 5 minutes, saving time and reducing development costs by up to $201,783 annually.

Part 1 - Integrate Qlik Automate with Qlik Cloud Analytics - Taking Action on your Findings

This video first demonstrates what is possible when integrating Qlik Automate with Qlik Cloud Analytics. Part 1 - demonstrates a more advanced example using an extension that calls a Qlik Automate Workflow to send a dynamic email message to the selected customer about their order. Part 2 - The Basics - in progress.

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.

HubSpot Reporting Dashboards Used by Revenue Experts: Real Templates, Pro Tips

As a current HubSpot user and veteran of a HubSpot partner agency, I know first-hand how powerful HubSpot is. And they’ve built a lot of great reporting enhancements into the platform over the last few years. And yet – we still hear that even the best HubSpot power users run into limitations (in functionality, pricing, or both).

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.