Azgar Ali N
Azgar Ali N is a Technical Program Manager leading critical network deployment programs spanning North and South Americas for Google Enterprise Network under Global Networking and Infrastructure. Partnering with Google Research and DeepMind, he contributes in Responsible AI development of products such as NotebookLM, Magic Editor for Google Photos and Gemini multimodal models through evaluations around highly sensitive areas for launch readiness.
Azgar holds a MS in Engineering Management from Northwestern University, BE in Electronics and Communication Engineering from R V College of Engineering, Bangalore and a PG Diploma in Cyber Laws and Cyber Forensics from the National Law School of India University (NLSIU). He is an elected Fellow of the Institution of Electronics and Telecommunication Engineers (IETE) and a Senior Member of IEEE. He has represented IEEE-USA in the US Congress, advocating for important policy positions in AI, technology infrastructure, skilled workforce development, funding of federal research institutions such as NIST, NASA, Department of Energy (DOE) Office of Science, NSF.
Authored Publications
Sort By
Preview abstract
Project estimation is a crucial aspect of project management that is often fraught with uncertainty. Accurately predicting project costs, timelines, and potential risks is essential for successful project delivery and eventually the program success which comprises several focused projects. Program Evaluation and Review Technique (PERT) is a valuable tool for addressing these challenges by providing a structured approach to project scheduling and risk assessment. Hopfield networks are a type of recurrent neural network with a rich history in the field of artificial intelligence particularly for their role in associative memory and optimization tasks. This paper delves into the potential application of Hopfield networks in PERT analysis, exploring practical implementations, challenges and strategies for overcoming limitations to enhance project and program management outcomes.
View details
Beyond The Code: AI Regulations As The Secret Compass Of Engineering Managers
Proceedings of the American Society for Engineering Management 2024 International Annual Conference (2024)
Preview abstract
Technology is a product of society. As technology evolves, the norms governing it have to mature for enabling its proper use within the society. The interest in Artificial Intelligence (AI) has surged following the introduction of chatGPT. Firms, both large and small, are competing to develop new products and solutions involving AI. Amidst these developments, leading corporations such as Google and Microsoft have proactively committed to upholding responsible innovation in AI development. Governments worldwide are responding with the creation of guidelines and regulations in the field. Notably, in March 2024, the United Nations General Assembly (UNGA) adopted landmark regulation on AI.
At the heart of these developments in AI are engineering managers who leverage technical advances to build products and services that create value. To effectively harness AI for human benefit, engineering managers must be aware of these evolving regulations governing AI. Some regulations such as Digital Markets Act (DMA) and General Data Protection Regulations (GDPR) have far reaching consequences for organizations globally. Having a working knowledge of these statutory requirements will enable engineering managers to identify the opportunities and constraints in leveraging AI technology while building products and services. It will allow them to make informed decisions about data collection methods, model training processes, the deployment of AI systems and metrics for their evaluation. At scale, it can become a competitive advantage for the firms they work in, as explored through real-world examples in this paper.
View details
