Supported by

Neeraj Joshi

CTO - Energy & Resources

Microsoft

Neeraj
Neeraj

Neeraj Joshi, Worldwide Chief Technology Officer (CTO) for Energy & Resources, leads the Global Technical Enablement team for Microsoft’s Energy & Resources division. His team works closely with customers and partners, driving innovation and technical depth engagement on energy industry-specific initiatives to accelerate digital transformation and energy transition.

Neeraj has worked at Microsoft for more than two decades, leading teams in SQL Server Performance Engineering, Global ISV, and Commercial Software Engineering organizations. He is instrumental in the data and AI initiatives for the energy industry and has enabled strategic customers and partners to modernize their solutions through their cloud journey. He has an MBA from the Foster School of Business, University of Washington, and an MS in Computer Engineering from the University of Texas, Austin.

Session Overview
Tuesday, 5 November
11:30
11:30 - 12:00
Innovation showcase: How generative AI can significantly reduce the risk, cost and time to license clean energy projects

The presentation will outline a comprehensive initiative aimed at leveraging generative AI to streamline the permitting process for clean energy projects. The primary objective will be to significantly reduce the cost and time required for licencing, which is currently a major bottleneck in the deployment of advanced nuclear and other clean energy technologies. The solution accelerator will utilise historical licencing data, real-time project-specific data, and various datasets to enhance the productivity of creating permits. It will integrate Azure Generative AI, Semantic Kernel orchestration, and Azure OpenAI Service, including GPT-4 and fine-tuned small language models, to automate document draughting and review processes. The system will assist regulators by quickly identifying missing information and ensuring compliance with regulations, thereby accelerating the approval process. Additionally, the solution will be extendable to multiple regulatory systems and languages, continuously adopting the latest advancements in generative AI to improve output quality.

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