Systems | Development | Analytics | API | Testing

"To get real value from AI at scale, you need to put AI in a process," explains Jake Rank, VP of Product at Appian. That's how leading organizations move beyond AI experimentation to automate work, improve efficiency, and deliver measurable business outcomes.

In this video, Mike Tarallo shows you a simple Qlik Automate workflow with defined inputs, then uses the Automate Agent in Qlik Answers to pass those inputs directly into the automation. This demonstrates how users can move beyond simply asking questions and begin taking action based on their data—all from a conversational experience. You’ll see how Qlik Answers and Qlik Automate work together to turn natural-language requests into real, automated workflows with minimal setup.

Every AI agent starts every session with zero memory. No context, no history, just a blank slate that has to rediscover its environment from scratch, and that costs you real time and money. In this episode of Inside the Stack, Jase Lindgren, Principal P4 User Advocate at Perforce, shows a simple fix: instead of re-prompting your agent every time, capture what it learns in a markdown file, then go one step further and turn that into a custom script. The result, tested across 15 runs: lower cost, faster execution, and better accuracy at catching real issues.

Fighting AI Slop: The Missing Ingredient for Clean Code.