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tricentis

Where AI meets enterprise transformation: Discover what's next at Tricentis Transform

Aug 12, 2025 By Leo Toch In Tricentis
Taking place in London and Nashville, Tricentis Transform brings together quality engineering leaders and professionals to hear insights from celebrity keynote speakers, Tricentis executives and customers, and industry experts. They’ll share perspectives on topics ranging from delivering better and faster software with AI to building performance into quality engineering strategies.
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Accelerating Fleet & PropTech Innovation with AI - Gaurav Singh, Ridecell | The Innovation Blueprint

Aug 12, 2025 By ORIL In ORIL
In the new episode of The Innovation Blueprint Podcast, we sit down with Gaurav Singh, Lead AI Product Manager at Ridecell – a fleet automation solution provider powering digital transformation journeys for fleet-driven businesses globally. Together, we dive into the evolving role of artificial intelligence in fleet management and explore its emerging applications in real estate. Gaurav offers valuable insights on the challenges of data integration, the critical need for role-specific insights, and how AI is currently being leveraged across various industries.
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iguazio

Orchestrating Multi-Agent Workflows with MCP & A2A

Aug 11, 2025 By Alexandra Quinn In Iguazio
Multi-agent workflows are the latest technological gen AI advancements. In this blog, we explore how to develop such systems, overcome operational challenges, improve system observability, and enable seamless collaboration between agents in complex AI pipelines. We’ll cover architecture, A2A and MCP protocols and introduce Google Cloud’s agentic marketplace.
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the test tribe

Building Trust in AI Agents Through Smarter Testing

Aug 11, 2025 By Team ACCELQ In The Test Tribe
As Artificial Intelligence (AI) becomes deeply embedded in decision-making across fraud detection, chatbots, and virtual assistants, trust in AI agents is now critical. Users and stakeholders need clear assurance that these systems will behave fairly, clearly, evidently, and reliably in all situations. However, building that trust does not happen by chance; it requires smarter testing strategies specifically designed for the non-deterministic and robust nature of AI.
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integrate

The Rise of the Data Operator: Why the Future of AI Depends on Them

Aug 10, 2025 By Donal Tobin In Integrate
We are entering a new era in enterprise data: the era of the Data Operator. As AI becomes core to every business process, every team is being asked to move faster, act smarter, and operate with real-time data. But the old stack isn't built for that. It's built for centralization. For gatekeeping. For data engineers and IT teams to own every flow, sync, and transformation. That model is breaking down. Why? Because the need for data has exploded at the edge of the business. Customer teams. RevOps.
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