Media
Media and public speaking
Conversations and talks that translate ML systems, deployment, and technical tradeoffs for leaders, builders, and the public.
Lead AI, Don't Let It Lead You
The Executive Connect Podcast
A framework for responsible AI implementation — starting with organizational values, measuring outcomes, and the 'three Cs' approach: clarity, context, and consequence.
From Novelty to Necessity: How Agentic AI Is Reshaping Enterprise Value
#shifthappens in the Digital Workplace
How AI is evolving from a content generation tool to a strategic decision-making layer in enterprise operations, and why 2025 is a pivotal year for agentic AI.
AGL 429: Shashank Kapadia
A Geek Leader Podcast
ML vs. AI, problem-solving with the right tools, regulations, ethics, data growth, using LLMs internally, and continuous learning as an AI leader.
Navigating the AI Landscape: Challenges and Innovations in Retail
AI Engineering Podcast
The transformative role of generative AI in retail — personalization, consumer prediction, autonomous shopping agents, and architectural trade-offs at Walmart's scale.
Ethical AI, Machine Learning at Scale, and the Future of AI Innovation
The Digital Executive
How AI-driven personalization is transforming industries, the myths of real-time AI, and the critical role of ethical and transparent ML systems at scale.
AI in Retail: Personalization, Ethics, and Scale
AI Innovators by SaladCloud
Developing and operationalizing ML models at scale — challenges in recommendation systems, the 'next best algorithm syndrome,' and how ethical AI can serve as a business moat.
AI Scaling Large Models with Model & Data Parallelism: Techniques, Tradeoffs, and Best Practices
All Things Open
A deep dive into scaling large AI models using model and data parallelism — covering key techniques, architectural tradeoffs, and best practices for distributed training.
Unpacking Parallelism: Practical Strategies for Scaling AI Workflows
The Association of Data Scientists
Practical strategies for scaling AI workflows through parallelism — covering techniques and architectural decisions for efficient distributed training and inference.
The Ethical Challenges of AI in Hiring and Workforce Automation
Tech In Motion
Exploring the ethical implications of AI in hiring and workforce automation — addressing bias, transparency, and accountability in automated decision-making systems.
AIAI Summits Silicon Valley 2026
AI Accelerator Institute • Silicon Valley
Speaking at the AIAI Summits Silicon Valley 2026 — convening AI leaders and practitioners on production ML, generative AI, agentic systems, and responsible deployment at scale.
Scaling AI Smartly vs. Just Scaling Bigger
All Things Open
Why the default 'just scale it bigger' instinct fails — and how to make principled scaling decisions across model size, data, and compute under real production constraints.
Balancing Speed and Security: The Key to AI-Powered Business Efficiency
Entrepreneur
Why ethical and secure AI is a business efficiency imperative — embedding privacy-preserving technologies, fairness checks, and explainability from inception.
How Ethical, Efficient AI Drives Financial Sustainability and Equity
Nasdaq
Ethics, efficiency, and sustainability as a cohesive framework — how fairness audits and responsible AI reduce compliance risks while unlocking competitive advantage.
Shashank Kapadia Feature
Coruzant Technologies
A profile on building large-scale AI solutions that shape the future of technology, with insights on ethical machine learning and responsible innovation.