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Modern Software Development For Today's Systems & Applications
Cloudera Partner Ecosystem: Simplifying Data & AI Across Hybrid Environments
Something major is coming for our customers and partners... Michelle Hoover shares how Cloudera and our partner ecosystem are helping simplify data and AI across environments while driving stronger business value and outcomes. What You'll Learn.
AI Chatbots Need Accessibility Testing Too
AI chatbots are transforming how people interact with digital products, but they also introduce new accessibility challenges.
SQL-Shaped Intent: The Engineering Behind AgentQL
Our CEO recently wrote reaffirming an architectural decision ThoughtSpot made when LLMs first emerged: we do not use LLMs to directly generate SQL. My team has spent the better part of a year building AgentQL: a capability that doubles down on our decision. So let me explain what we actually built, why it doesn't just honor that architectural decision but depends on it, and the engineering choices underneath.
Ep 85 | Enterprise AI Success: What Separates Results from Expensive Experiments
Most enterprise AI use cases still aren't delivering measurable value. So what separates the projects that work from the ones that quietly disappear? For Mark Ritcey, the answer comes down to disciplined execution. AI programs need a clear business problem and an organization prepared for how the technology changes the way work gets done. In this episode of The AI Forecast, Paul Muller sits down with Mark Ritcey, Vice President of AI and Automation Delivery at Latentbridge and lecturer on AI and machine learning, to examine the decisions that shape enterprise AI success.
One interface for API contracts, test coverage, and production signal: Build AI quality workflows with the SmartBear MCP Server on Amazon Bedrock AgentCore
For decades, the software development lifecycle (SDLC) gave engineering teams a common framework. Requirements became designs. Designs became code. Teams tested, deployed, monitored, and improved it.
Cloud-Based vs On-Premise Website Monitoring: Which Approach Wins in 2026?
Website monitoring often feels like choosing between casting a net or wielding a spear. Cloud-based monitoring is your fishing net: you deploy it broadly, covering vast swaths of digital water, capturing issues wherever they occur. It’s automated, relentless, and covers every corner of your online presence, from global uptime to minute performance blips. On the other hand, on-premise monitoring is the spear – deliberate, targeted, and controlled.
How DreamFactory Helps Schools Use AI Safely on Their Own Data
Every school, college, and university is being asked the same question right now: Can we use AI on our own data without putting student records at risk? The promise is real, including personalized learning, faster advising, and smarter operations. So is the fear. AI that touches student information runs straight into FERPA, breach risk, and a simple trust problem: once data leaves your control, you can't govern it.
Why Do AI Tools Give Different Numbers for the Same Question?
You can ask two AI tools the same question about your data and get different answers, even when both have access to the same system. There are several reasons this can happen. Each one might run a different model, or have a different set of tools available. The data you thought was the same might not actually be the same. Or one tool might have more context about my account than the other. I want to focus on what happens after I rule those things out: each tool still has to decide what my question means.
Agent Product Use Case - Slack & Jira Discrepancy Workflow
Customers and champions report problems in Slack, but if nobody files the ticket, the issue disappears before it ever reaches Jira. In this video, we use AgentSpot to build a Slack to Jira Coverage Workflow that reads your champions channel every morning, cross-compares it against your Jira backlog, and emails you a report of every issue raised in Slack that no one has filed yet. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.