Deep Learning & Advanced ML Summit schedule

• Explore the transformative growth of AI in 2025 and beyond.  

• Discuss key drivers shaping the future of AI.   

• Discover emerging trends and their potential impact across industries. 

• Learn strategies for deploying AI across cloud and edge environments. 

• Explore efficient techniques for building robust AI systems. 

• Deep dive into the latest AI infrastructure solutions. 

• Discover how to bridge the gap between cutting-edge AI research and real-world applications. 

• Learn practical strategies for implementing and scaling machine learning models.  

• Hear success stories and lessons learned from industry experts. 

• Explore the transformative potential of generative AI across industries. 

• Learn how businesses can leverage generative AI to drive innovation and growth.  

• Discover practical use cases and success stories of generative AI in action. 

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• Understand the power of graph neural networks for complex decision-making.  

• Learn how to leverage graph neural networks to analyse relationships and patterns in data.  

• Discover practical applications of graph neural networks across industries. 

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• Explore the benefits and challenges of using synthetic data in AI development.  

• Learn how to generate high-quality synthetic data that preserves privacy. 

• Discover practical applications of synthetic data across industries. 

• Acquire insights on operationalizing, optimizing, and efficiently scaling deep learning model training. 

• Learn from case studies, on managing ML platforms with web-scale data. 

• Understand how modern ML computing frameworks like Ray and PyTorch can be utilized to create impactful ML products. 

• Dive into deep technical discussions regarding ML/AI and infrastructure 

• Explore the role of AI in predictive maintenance for Industry 4.0. 

• Learn how AI can optimize maintenance schedules and prevent costly downtime.  

• Discover real-world use cases and benefits of AI-powered predictive maintenance. 

• Explore the transformative potential of AI for real-time decision making in various industries. 

• Discuss the challenges and opportunities of implementing AI solutions for real-time applications. 

• Learn how AI can enhance human capabilities for making rapid, informed decisions in dynamic environments. 

• Examine the crucial role of human-AI interaction in ensuring responsible and effective real-time decision making. 

• Discover real-world examples of AI-powered real-time decision-making systems across industries. 

• Explore how AI is being used to address climate change and promote sustainability.  

• Learn about innovative AI applications in climate science and environmental protection. 

• Discover how AI can help create a more sustainable future for all. 

• Dive deep into the intersection of quantum computing and AI.  

• Learn how quantum computing can accelerate AI development and unlock new possibilities.  

• Discover the potential impact of quantum computing on various industries. 

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• Explore the latest advancements in federated learning.  

• Learn how federated learning enables secure and collaborative AI development.  

• Discover practical applications of federated learning across industries. 

• Discuss the ethical considerations surrounding AI development and deployment.  

• Learn about best practices for building fair, transparent, and accountable AI systems.  

• Explore the role of governance and regulation in promoting ethical AI. 
  

Moderator: Lisa M. Lum, Director, Board of Directors, Cal Alumni Association | UC Berkeley 

Speakers: 
- Sayan Maity, Principal ML Engineer, Disney Streaming 
- Venkatesh Palani, Senior Director and Head of Engineering, eBay 

• Explore the evolving landscape of AI-driven cybersecurity threats. 

• Learn how to leverage AI to enhance your enterprise's security posture. 

• Discover cutting-edge AI solutions for threat detection, prevention, and response. 

LLMs have started providing great value to enterprise use cases. Deploying smaller LLMs in production is attractive since they are less resource hungry. Smaller LLMs, though efficient, often struggle to match the performance of their bigger counterparts. In this talk, we will discuss various techniques like knowledge distillation, post-training alignment like RLHF and DPO, etc. that can help bridge this gap. The speakers will discuss success stories from open source and enterprise applications. 

Speakers:

- Sandeep Jha, Principal Staff Technical Program Manager, LinkedIn

- Aman Gupta, Sr. Staff Engineer - Applied AI Research, LinkedIn 

• See how model monitoring boosts predictive maintenance and reduces downtime. 

• Learn to monitor models for consistent, accurate performance. 

• Discover how monitoring supports proactive, disruption-free maintenance. 

• Explore how evolving global AI regulations impact businesses and their customers. 

• Understand key regulatory frameworks and their practical implications for delivering compliant, customer-focused solutions. 

• Gain actionable insights and best practices to ensure robust AI governance while building trust with your customers.

• Explore how businesses can leverage AI as a strategic asset to gain a competitive edge.  

• Learn about key strategies for building and implementing successful AI initiatives.  

• Discover real-world examples of companies leveraging AI for strategic advantage.