Systems | Development | Analytics | API | Testing

The Future of AI Agents is Event-Driven

This article originally appeared on BigDataWire on Feb. 26, 2025. Artificial intelligence (AI) agents are set to transform enterprise operations with autonomous problem-solving, adaptive workflows, and scalability. But the real challenge isn’t building better models. Agents need access to data and tools as well as the ability to share information across systems, with their outputs available for use by multiple services—including other agents.

What is MCP? Diving Deep into the Future of Remote AI Context

The hype for Anthropic’s Model Context Protocol (MCP) has reached a boiling point. Everyone (including Kong) is releasing something around MCP to ensure they aren't seen as falling behind in the ever-changing AI landscape. However, in this mad dash, there remains confusion around MCP and what this standard actually enables. Some see MCP as a total game-changer, and some see it as little more than a thin and unnecessary wrapper. As usual, the truth lies somewhere in between.

AI ETL Tools: Revolutionizing Data Engineering

In 2025, the integration of Artificial Intelligence (AI) into Extract, Transform, Load (ETL) processes is transforming the data engineering landscape. Traditional ETL workflows are evolving from rigid, manually scripted pipelines into intelligent, adaptable systems powered by AI. These AI-driven ETL tools enable companies to handle increasing data complexity, schema drift, and real-time transformation demands without massive engineering overhead.

AI Mobile App Testing: Building Superior Mobile Experiences Through Intelligent QA

The need for impeccable mobile applications is unequivocal. Users want intuitive interfaces, smooth functionality, and uniform performance across various devices and operating systems. Development teams have a considerable difficulty in satisfying these requirements while expediting release cycles. Conventional mobile app testing services, although fundamental, often fail to keep pace with the velocity and complexity of contemporary application development.

Agentic AI Deep Dive: How AI is Changing the Modern Enterprise

Agentic AI has the potential to revolutionize workplace processes in nearly every sector by improving business decision-making, workflow efficiency and customer interactions and experiences. While interest in agentic AI is widespread, the motivation to use it differs by industry. Cloudera surveyed 1,484 enterprise IT leaders across 14 countries to better understand their approach to agentic AI in 2025, including how specific industries plan to implement the technology.

Hitachi: A Process Transformation Blueprint - Streamlining Operations with AI and Data Fabric

Learn how Hitachi America leveraged Appian’s process orchestration and Data Fabric to power AI and unify fragmented sales data across a 55+ company group conglomerate. By integrating siloed systems and delivering real-time insights to their sales teams, Hitachi empowered smarter cross-sell strategies and accelerated proposal delivery by 60%. The result: a 20% reduction in operating expenses, 4x faster time to market, and significant gains in development speed and data efficiency.

How I Built a Sales Agent Without Complex Coding Using Astera AI Agent Builder #aiagents

What if you could build your own sales agent without relying on complex coding or technical expertise? Sadiq Abbas, part of our Growth Team, did just that using Astera’s drag-and-drop visual builder. With Astera AI Agent Builder, we aim to empower businesses to create autonomous AI agents that automate workflows using their enterprise data. Whether it's for customer support, scheduling demo meetings or lead qualification, our simple drag-and-drop interface lets you design agents that fit your specific needs.

Best Ai Coding Assistant For Beginners And Experts

In today’s rapidly evolving tech world, coding isn’t just about writing lines of code — it’s about crafting them smarter, faster, and with greater precision. This is where AI coding assistants come in: intelligent tools designed to streamline development workflows, catch errors early, suggest enhancements, and even generate complete blocks of code, empowering developers to work more efficiently than ever before.

What Astera AI Agent Builder can do for you? #aiagents

Creating AI agents is now faster, easier, and more unified than ever. Jay Mishra, our Chief Product and Technology Officer, shares how the Astera AI Agent Builder empowers teams to design and deploy enterprise-grade agents using a fully visual, drag-and-drop interface. With built-in state management, seamless MCP integration and direct access to business systems, our agents are context-aware and capable of making real-time, data-driven decisions.