Systems | Development | Analytics | API | Testing

Stop manually juggling mismatched data formats! This video demonstrates how to join Parquet and JSON files directly within ThoughtSpot Analyst Studio’s Python Notebook to create a single, enriched dataset. What you will see: This is a must-watch for data professionals looking to unify complex, multi-format data sources and deliver searchable, AI-ready insights in one continuous workflow.

What if you could ask ChatGPT "which customers haven't ordered in 90 days?" and get an instant answer from your actual database? I set this up live in under 5 minutes. No code. No SQL. Just questions and answers.

Healthcare organizations can’t achieve true Patient 360 or power accurate AI and analytics when identity data is fragmented across EHRs, EMRs, CRMs, and countless clinical and operational systems. Check out the full video to see how Verato MDM Cloud delivers industry-leading healthcare identity resolution and master data management (MDM) directly inside Snowflake to unify, enrich, and master patient and provider data with unmatched accuracy.

As software systems grow more complex and business cycles demand faster releases, traditional approaches to quality engineering are no longer enough. AI brings a new dimension to the Software Development Life Cycle—augmenting decision-making, predicting risks, automating quality checks, and continuously assuring value delivery. Armed with GenAI and Agents we can reshape how we think about software quality. This discussion explores practical ways to embed AI across the SDLC to accelerate delivery, reduce risk, and achieve a step-change in quality outcomes.

Private AI is emerging as a strong alternative for teams that need the power of AI without compromising data privacy or compliance. This session explores how local LLMs can support software development and test automation when cloud-based tools are not an option. Using setups like Ollama with models such as Qwen 2.5 and integrations like the Continue plugin, the talk demonstrates how secure, on-device AI can accelerate tasks like BDD creation, automation scripting, and performance testing.

Retrieval-Augmented Generation can sound convincing while still being wrong. This session focuses on moving beyond surface-level metrics and turning stochastic AI outputs into evidence-backed, verifiable results. It explores how to test the entire RAG pipeline, from ingestion and indexing to retrieval, grounding, and answerability, ensuring every response is traceable to the right source, policy, and user context.

This Atomic Talk is based on an analysis of more than 500 QA and software testing job openings across the United States. The session walks through the research process, the data collected, and the key trends revealed through clear graphs and insights from the study. By the end of the talk, attendees will have a strong understanding of the most in-demand testing skills, tools, programming languages, and automation technologies currently shaping the QA job market in the U.S., helping them make more informed career and upskilling decisions.

Freelancing is more than a side hustle. It can be a launchpad to global careers, higher earning potential, and exposure to diverse teams and practices. This session shows how testers can start with small freelance gigs to build experience and credibility, then scale into larger, long-term engagements by specializing in areas like automation, performance, or QA consulting.

Everyone is talking about Claude Code, but few people understand the machinery running in the background. Today, we’re opening up the terminal to see how Anthropic’s coding agent manages state, runs tests, and fixes its own bugs. From the Model Context Protocol (MCP) to its unique React-based terminal UI, find out what makes Claude Code the most "senior" feeling AI assistant on the market.

While analyzing network traffic, we found huge amounts of telemetry including chat snippets, being sent to statsig.anthropic.com. The irony? Statsig was recently acquired by OpenAI. In this video, we use proxymock to intercept the traffic and show you exactly what’s being sent from your terminal to Anthropic (and technically, OpenAI’s infrastructure).