Let's Talk VDML Podcast Episode 16 Microsoft InfoAssist LLM: Insights & Milestones with David Waxman

Let's Talk VDML | Practical Conversations about AI Assurance
In this episode, KJR ACT General Manager Andrew Hammond welcomes David Waxman, Principal PM Manager for Artificial Intelligence and Copilots for Microsoft to discuss the impressive evolution of Info Assist over the past year, moving from proof-of-concept pilots to full-scale production deployments. It follows their initial conversation back in April 2024 (bit.ly/3JFWY04).
[Microsoft Azure’s ‘Public Sector Information Assistant’ (Info Assist), built with Azure OpenAI, leverages the power of generative AI large language models to let Public Sector employees or customers have meaningful conversations with their data.]
This episode delves into how Info Assist addresses critical challenges for public and regulated sectors, including data security, compliance, and transparency. It also highlights new capabilities, such as multimodal data handling, multilingual support, and improvements in system accuracy.
The episode provides valuable insights into the future of Info Assist, emphasising its adaptability for non-developers and its potential to enhance citizen services and internal enterprise data management. Whether you're intrigued by AI innovations or seeking strategies for secure and compliant digital solutions, this episode is packed with actionable takeaways.
VDML (Validation Driven Machine Learning) is a methodology developed by KJR to guide the development of robust and reliable Machine Learning (ML) models. VDML is a practical method of undertaking responsible AI.
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