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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.

The AI Roadmap: 6 Essential Steps to AI Readiness

Everyone is taking part in the AI scramble, some more successfully than others, as we all know. But many enterprise companies are still just getting their feet wet. Here at Qlik we saw an opportunity to try to capture what it is that these successful companies did to get value from AI for their organizations. So, we partnered with IDC to get those answers and discovered that preparation is a major difference maker for success with AI.

9 AI Agents Examples That Solve Real Enterprise Challenges

When ChatGPT hit headlines, many equated artificial intelligence with simple chatbots. Useful? Sure. But limited to isolated tasks and virtual assistants, they fell short of their full potential. That’s changing. Businesses are now entrusting AI agents with real decision-making power on complex tasks. These agents reason, adapt, and act autonomously—without waiting for human intervention. When they’re deployed directly into processes, they provide real value at enterprise scale.

Artificial Intelligence in Payment Processing: Efficient Investigations, Happier Customers

Artificial intelligence is one of the most impactful innovations the financial services industry has ever seen. From streamlining financial operations to enhancing customer experiences, artificial intelligence capabilities help financial sector organizations stay competitive in a marketplace that never stops shifting. The benefits of AI also extend to payment processes. Here’s a real-life example.

How to Achieve Secure, Scalable Multi-tenancy for GPU Infrastructure

By Erez Schnaider, Technical Product Marketing Manager, ClearML In a previous blog post, we laid the foundations for understanding multi-tenancy in GPU-access infrastructure and highlighted its critical importance. In this post, we’ll dive into ClearML’s approach to achieving secure and efficient multi-tenancy. At a high level, multi-tenancy refers to the ability to share a single resource pool, typically GPU or CPU clusters, across multiple, logically isolated entities known as tenants.