Systems | Development | Analytics | API | Testing

Enjoy this lesson from the Introduction to Search and Answers course found in the Business User learning path on ThoughtSpot U. This lesson covers all the features related to Spotter, the AI analyst.

Signaling a focus on future-proofing skills and adapting to evolving technologies, which would resonate well with testers aiming to stay competitive. Gen AI will be discussed in depth for the audience to relieve the fear of AI. Various testing concepts implemented through Gen AI. A big shoutout to our sponsor BrowserStack for all their support in helping to do these events at such a scale.

In this short demo, I walk through how DreamFactory acts as a data AI gateway by applying RBAC to an existing database and allowing you to map specific data access with roles that then map to agents or chatbots. We think this is a missing approach to exposing proprietary or production data to AI systems.

Did you know that 44% of QA professionals believe a hot dog is a sandwich? That’s just one of the fun—and surprising—questions we asked in this year’s State of Software Quality Report survey. But beyond the humor, we dug deep into the real challenges testers face every day: organizational maturity, AI in testing, best practices, and more. Over 1,500 software testing professionals shared their insights, and now you can explore what they had to say.

This model celebrates one customer’s journey to modernization. When all the pieces click into place, it’s magic.

Want Your AI Agents to Work Seamlessly with Salesforce, Slack, or Any External System? In this video, our Associate Software Architect Humza Khatri, explains how Model Context Protocols (MCPs) make it easy to connect your AI agents with third-party tools and systems, transforming them into fully integrated and task-ready team members. With the Astera AI Agent Builder, your agents can now access and act on real-time data from external platforms such as Salesforce, HubSpot, Microsoft Teams, Slack, and even custom APIs through a simple no-code configuration.

Generative AI is entering the enterprise at scale, following patterns set by the rise of cloud computing. As organizations shift from buying tools to building custom solutions, architecture and integration become key to long-term success.

Discover how OpenAI is transforming day-to-day work with data streaming. From building smarter products to enabling real-time AI use cases—data streaming is at the heart of everything they do! Hear what OpenAI’s Jigar Bhati had to say.

In this episode of the "Data Cloud Podcast," Dana Gardner, Principal Analyst at Interarbor Solutions, sits down with Ameesh Paleja, Executive Vice President of Enterprise Platform Technology at Capital One. They explore how Capital One leverages modern data architecture, automation, and AI to improve customer interactions and experiences. The conversation delves into the importance of standardized data, the role of AI-driven personalized services, and the integration of marketing and AI strategies.

Join Kong HQ for an insightful LinkedIn Live session titled "How to Ensure Your AI Projects Are Production Ready." As AI continues to transform industries, moving from experimentation to deployment is one of the biggest challenges organizations face. In this session, our experts will dive into what it truly means for an AI project to be "production ready," discussing essential practices around scalability, reliability, governance, and observability.