HPE invests in TruEra for AI explainability and quality management

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. With artificial intelligence (AI) and machine learning (ML) now serving as key attributes to make IT systems faster, more accurate and beneficial for an enterprise's bottom line, the importance of transparency in how these components are working also becomes more critical . Why? Biases can creep into AI / ML models just as it does in humans, and when it does, queries can go awry and skewed analytics can cause production results to be incorrect. Explainable AI is important for trust, compliance and building less-biased AI models. Both customers and regulators want to know more about what's inside the black box.