Systems | Development | Analytics | API | Testing

What's Driving the Great AI Re-Architecture?

As enterprise AI scales, traditional data architectures are reaching their limit. Workloads are becoming more distributed, data movement is accelerating, and tech leaders face growing pressure to justify AI spend while delivering real business impact. Chief Technology Officer Sergio Gago breaks down key findings from Cloudera’s latest global survey of enterprise architects, data architects, and cloud leaders.

Cloud Testing's Key Role in Sustainable Software Development

Cloud testing offers a practical path for reducing the environmental impact of software development. By eliminating the need for dedicated physical hardware, teams can cut energy consumption and electronic waste. Virtualized environments scale up only when needed, replacing racks of underused servers with efficient, on-demand resources.

AI Chatbots: Transforming Performance Testing

Until recently, performance testing workflows meant complex scripting, manual maintenance, and slow feedback. Now, the adoption of AI chatbots in QA and DevOps is prompting a fundamental shift. Teams using AI-driven testing tools are seeing significant reductions in test cycle times and improvements in defect detection. These are not incremental improvements, but shifts that are redefining benchmarks for speed and coverage.

Why More Brands Are Choosing TikTok Launchpad Services for Faster Growth

A brand can have a great product, a strong website, and a clear customer base and still struggle to gain traction on TikTok. The platform looks simple from the outside, but successful growth usually depends on getting several things right at once: content, creators, product positioning, audience targeting, TikTok Shop, and ongoing testing.

How to Operationalize AI Pilots: Roche's Agentic Analytics

If there's one thing that stuck with me from Yannick Misteli's session at the Agentic Analytics Playbook event in London, it's this: most AI pilots don't stall because of technology or budget. They stall because nobody answered the "day after" questions. I had the opportunity to sit down with Yannick Mistelli, Head of Engineering at Roche, the global pharma company with 100,000+ employees and heavy regulation across 25+ countries.

[AgentSpot Showcase Series] Winny - GTM Intelligence Agent

Meet Winny, a GTM Intelligence agent built with AgentSpot and ThoughtSpot. See how teams can get faster answers to questions about conversion and pipeline velocity by simply asking questions in AgentSpot or Slack, with verified data pulled directly from ThoughtSpot. What is AgentSpot? AgentSpot is multiplayer AI for your business. Anyone can build, share, and collaborate with AI agents connected to your company’s data, context, and tools.

Self-hosted OTA for an hour a month

If you are a React Native engineer, your job isn’t typically about maintaining infrastructure. So “self-hosted OTA” can sound like a trap. Even if your Expo Update bill is hitting six figures, it’s easy to assume that self-hosting isn’t worth the potentially huge time sink. That fear is understandable, but it doesn’t have to play out that way.

Is Your Data Estate Actually Ready for AI? The 6 Characteristics That Matter

Most organizations are moving fast on AI ambition. Fewer are moving fast on what makes that ambition possible. Before you can reimagine your business with AI at its heart, your data estate needs six things: to be well-defined, trusted, well-connected, contextualized, consumed in a multimodal way, and ready for both humans and machines at scale. Most organizations have two or three. The ones pulling ahead in AI have all six.