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Highlights: * AI agents in finance are evolving from isolated tools to interconnected systems through agent-to-agent AI protocols. * PayPal and Intuit are deploying financial AI automation, creating massive opportunities for startups building AI workflow automation infrastructure. * While AI agents for fraud detection and automated compliance AI promise transformation, they introduce new
Highlights * Google’s A2A protocol enables AI agents to communicate and collaborate on tasks across various tools and systems. * A2A paves the way for HRs to automate the entire recruitment flow, with AI agents collaborating from screening to onboarding. * Results show 47% faster hiring, with onboarding time cut from two
Highlights * Customer service automation powered by A2A lets chatbots, billing bots and CRM agents share one language, creating a single smart support team. * With A2A, automated agents pass context and hand off tasks in real time (for example instant refunds or live account look-ups) so customers wait less. * Always-on customer
Google’s A2A Protocol is redefining AI in EdTech with collaborative agents that personalize and streamline digital learning.
As Large Language Models (LLMs) become more deeply embedded in business workflows, one persistent limitation remains: their inability to access real-time, external context. Relying solely on training data leaves models outdated, often resulting in incomplete or inaccurate outputs. That’s where the Model Context Protocol (MCP) steps in. Developed by
Our design process was good—but we wanted it to be great. We weren’t just chasing faster delivery; we were aiming for smarter ideation, more focused validations, and a creative workflow that could scale without compromising quality. That’s where AI stepped in. By thoughtfully integrating AI in UX
Explore how Google Agent2Agent Protocol (A2A) enables multi-AI agent collaboration across platforms, tools, and industries.
In today's digital landscape, user expectations for AI chatbots have evolved dramatically. Gone are the days when users would patiently wait for a complete response to load. Modern AI applications need to feel alive, responsive, and natural - just like a conversation with a real person. This is
Vibe Coding is making software development crazy fast. Is it the future or just hype? Find out!
The rising demand for AI-generated visuals AI image generation has made creating visuals faster and more efficient, but getting high-quality results still requires the right tools and workflows. Some methods prioritize ease of use, while others focus on control and customization. Performance, flexibility, and quality all play a role in
TensorRT video analytics optimization reduces lag, enhances accuracy, and speeds up AI workflows. Learn how we unlocked breakthrough results.
Upgrade from LangChain to LangGraph and unlock new ways to scale your AI application development with more flexibility and creativity. Let’s explore how!
AI-powered tools transformed our dev process—70% faster delivery, fewer blockers, and smarter coding. See how we adapt, evolve, and code smarter with AI.
AI agents and Agentic AI are at the forefront of transforming industries and business workflows. While generative AI tools like GPT and DALL-E have made waves by creating content, they are reactive and dependent on user input. Agentic AI, however, takes a major leap forward, enabling systems to operate autonomously,
Understanding how software testing sees new light with the integration of AI-powered tools, the blog delves into the application of AI in web and mobile automation.
Discover how ChatGPT, BingChat, & GitHub Copilot revolutionize Software Testing.
AI is a revolution. Uncover how it learns, innovates, and transforms industries, unleashing its boundless potential.
