In a landscape where trust and transparency in artificial intelligence (AI) remain paramount, Sree Hari Subhash of KPMG, a prominent figure in data engineering, is pioneering innovations to enhance AI accountability. At the 2025 World Economic Forum, experts emphasized the necessity for transparent AI implementations, especially within the financial sector, where errors can have severe repercussions. Subhash’s expertise lies in developing reliable AI tools that ensure trust, focusing on reproducible and well-documented practices. His work involves creating transparent data management systems utilizing Microsoft Fabric and Databricks, allowing companies to trace data sources and processing methods. This eliminates “black box” scenarios, fostering greater trust in AI systems. As financial firms deploy AI for risk assessments and efficiencies, Subhash’s solutions bridge innovation with accountability. His contributions, validated by prestigious certifications, are crucial in redefining how companies interact with AI, ultimately addressing public concerns over reliability and transparency in financial technology.
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