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Joachim Herschmann
VP Analyst
Gartner
Speaker Topics
- Artificial Intelligence (AI) and Agents
- Emerging and Disruptive Technologies
Speaker Bio
Joachim Herschmann is a VP Analyst on the Software Engineering Design and Development team. He helps CIOs, IT and Software Engineering Leaders build their software development strategies. Mr. Herschmann's research focuses on AI-augmented software development, the disruptive force of AI Agents in software engineering, AI-augmented software testing. continuous quality and digital immunity. He has been leading the Top Strategic Trends in Software Engineering for several years in a row and his insights and coverage of software engineering technologies enable clients to make faster and smarter technology decisions.
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Sessions
Tuesday, June 03, 2025 04:00 PM - 04:30 PM PDT
How AI Agents Will Disrupt Software Engineering
Joachim Herschmann,
VP Analyst, Gartner
AI agents in software engineering step beyond AI code assistants to act as autonomous autopilots for software development and testing tasks. Software engineering leaders can use this research to assess the opportunities and risks of implementing AI agents into their development process.
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Wednesday, June 04, 2025 03:30 PM - 04:00 PM PDT
Top Strategic Trends in Software Engineering for 2025
Joachim Herschmann,
VP Analyst, Gartner
Thriving in times of intense economic and social volatility requires organizations to find new ways to empower their software engineering teams to increase productivity, efficiency and effectiveness. This session will provide Gartner's latest and best guidance on the actionable trends software engineering leaders and their teams should be tracking in 2025 and beyond.
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Thursday, June 05, 2025 02:00 PM - 02:30 PM PDT
How to Test AI-Based Systems
Joachim Herschmann,
VP Analyst, Gartner
Evaluating and testing AI-infused software is a new challenge. Traditional software testing assumes a predictable system. AI systems are unpredictable, uncertain and unreliable, which creates risk for AI products. This session provides insights about challenges, best practices, and focus areas to give AI teams confidence in the reliability of their AI and ML applications.
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