Systems | Development | Analytics | API | Testing

AI in a Box: Experience the Future of Private AI at Dell Technologies World with Cloudera, Dell Technologies and NVIDIA

The race to operationalize private AI at enterprise scale isn’t just about models and algorithms—it’s about infrastructure that refuses to compromise. Welcome to the inaugural post of AI in a Box, a three-part blog series that unpacks how Cloudera, Dell Technologies, and NVIDIA are redefining enterprise AI with a turnkey solution that unifies cutting-edge AI-optimized hardware, intelligent data orchestration and AIOps tooling, and zero-trust governance.

Validating Trust in AI: How to Test Salesforce Einstein Copilot for Enterprise Use

As enterprises increasingly embed AI assistants into their core workflows, trust becomes the currency of adoption. Salesforce Einstein Copilot is fast becoming a central productivity layer across CRM, Sales, and Service modules. But with great potential comes greater responsibility, especially for quality assurance teams. Validating the trustworthiness of AI outputs, guarding data privacy, and ensuring reliable decision boundaries are now non-negotiable in enterprise environments.

How the Rise of Agentic AI is Transforming API Development and Management

The world of artificial intelligence is undergoing a seismic shift, with the emergence of agentic AI redefining the landscape of API development and management. As businesses and developers navigate the complexities of digital transformation, understanding the implications of this groundbreaking technology becomes paramount.

What Are LLM-Driven AI Agents? Explained Simply with Real Examples

If you're curious about what AI agents truly are and how they work in real-world scenarios, this video is for you. In this first episode, our AI Product Specialist Hasham Qazi takes you through what LLM-driven AI agents really are. He breaks down the key components, shows real-world examples, and explains exactly how they work in practice. Ready to build your own autonomous AI agents in just a few hours using a visual drag and drop builder that works with your enterprise data?

Unlocking Disney's Magic: AI And Automation In Multimedia Storytelling

In this episode, Dana Gardner, Principal Analyst at Interarbor Solutions is joined by Nick Winfrey, Vice President of Data Science and Data Strategy at The Walt Disney Company. They explore Disney's extensive use of AI, automation, and data science to optimize advertising and enhance fan experiences. The conversation also delves into the importance of diversity in data teams, the crucial role of AI and ML in media and entertainment, and how Disney leverages audience behavior and loyalty across different platforms.

The Confluent Q2 '25 Launch

The Confluent Q2 ’25 Launch brings together the best of batch and stream processing. We’re introducing Flink snapshot queries (Early Access), Tableflow support for Delta Lake tables (Open Preview), and more! Our quarterly launches provide a single resource to learn about the new features we’re bringing to Confluent Cloud, our cloud-native data streaming platform.

BI as a Service: 4 Reasons Smart Agencies Grow Faster with Business Intelligence

Based on a sample of data from ~1,000 agencies and 14,000 clients, we estimate that agencies lose about 38% of their clients every year. Based on my 1,000s of conversations with agencies over the years, I think I know one of the big reasons why. Most agencies have been stuck in the same pattern for years: Do good work, report on it, wait for feedback, hope for renewal. They start strong—engaged with the client’s leadership, aligned on strategy and goals, excited to build.

What SmartBear's Acquisition of QMetry Means for the Future of Enterprise Test Management

Earlier this year, SmartBear acquired QMetry, a move that’s more than just a strategic acquisition. This move reflects a deeper commitment to enterprise customers – helping teams: As Product leader of Test Management at SmartBear, I’ve had the opportunity to help define our roadmap. Our vision for QA teams is clear: empower them to deliver better quality and build confidence – and consistently hit release deadlines.