4 key recommendations to make AI explainability effortless and actionable
A recent Forrester Consulting study* revealed that that nearly 3 out of 4 IT decision makers are concerned about emerging “right to explainability” legislation. That points to big challenges ahead for the nearly 60 percent of respondents who lack transparency and explainability for their digital decisioning.
Join guest presenter Forrester VP and Principal Analyst Mike Gualtieri and learn key findings from the study including:
- Trends driving adoption of explainable AI technologies
- Challenges preventing IT leaders from successfully operationalizing and scaling AI investments
- Key recommendations for making AI explainability effortless and actionable
The presentation also features Jason Farmer, vice president, professional services at InRule Technology, who highlights real-world examples of how organizations are successfully leveraging explainable machine learning, and human-in-the-loop decision and process automation, to improve business outcomes and drive growth, while creating transparency, reducing unintended bias, and fostering trust.
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* A commissioned study conducted by Forrester Consulting on behalf of InRule Technology, June 2022