Test AI Better For Better Business Results

Many organizations are developing new business applications or upgrading existing ones by infusing them with AI capabilities to make them sense, think, and act. However, our research shows that AI-infused applications aren’t being tested enough, and as they’re scaled and deployed in production, they also scale more problems while decreasing business benefits. In this webinar, we share:

• Results from part two of Forrester’s AI testing research (see part one here).
• The risk and impact if your untested AI goes wrong.
• What testing strategy you need to put in place to avoid disasters.

It’s still early days and we’re all learning, but it’s well worth starting to test better now before it’s too late.

Key takeaways:

• You’re not testing your AI-infused applications enough: Understand why and what’s at risk.
• What’s new and different in testing AI-infused applications: roles, types of testing, and practices.
• Maturity of tools, technologies, and platforms for continuously testing AI-infused applications.

Target audience level: all levels

Vendors mentioned: Applitools, Google, IBM GBS, iPSOFT, QA Consultants, and ThoughtWorks.