Synopsis: Maitreya Natu, chief data scientist of Digitate, discusses how collaborative learning (CL) and conversational intelligence (CI) are ushering in a transformative era for the application of AI and machine learning in IT operations. By facilitating collaborative learning and natural interactions with humans, these advancements will drive increased autonomy, predictive capabilities and enhanced human-AI collaboration, reshaping the landscape of AI-powered IT operations.
In this episode of the Techstrong AI Leadership series, host Mike Vizard interviews Maitreya Natu, chief data scientist at Digitate, about the role of AI in collaborative learning and intelligence. They discuss how AI is transforming human-machine interactions, not by replacing humans, but by augmenting intelligence through collaboration. Maitreya emphasizes that AI can thrive alongside human intelligence, with machines handling tasks like IT operations while humans step in to manage exceptions, validate actions, and offer guidance. This approach, termed “collaborative learning,” allows humans and machines to coexist, enhancing each other’s capabilities and performance.
Maitreya also delves into the challenges of integrating AI into business operations, such as insight fatigue and the need for trust and explainability in AI-driven decisions. He suggests methods like scoring AI insights for trustworthiness and incorporating explainable intelligence to improve adoption and build confidence among business teams. The conversation also touches on the importance of data quality and domain knowledge in generating meaningful insights and recommendations. Ultimately, Maitreya advocates for a balanced collaboration between AI and humans, with proper guardrails and training to ensure optimal outcomes.