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Data & AI with Mukundan | Learn AI by Building

2024-10-01 – 2025-11-18 Podcasts Visit website ↗

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Practical, human-first AI. Each week we build small, useful AI tools and workflows—so you can apply them the same day you listen. Data & AI with Mukundan is where real-world problems meet practical AI. You don’t learn AI by collecting tabs—you learn it by shipping small, useful things. I’m Mukundan, an analytics pro, GPT builder, and lifelong learner. Every week we take one problem and build a solution you can actually use: smarter job-search helpers, portfolio reviewers, AI that speeds up analysis, slide/summary assistants, and more. You’ll hear the decisions behind each build—what to automate, how to evaluate quality, how to keep outputs reliable, and how to make it useful today. We keep the language plain, the examples concrete, and the steps realistic whether you’re hands-on or just AI-curious. Recurring themes: LLM applications, prompt design, evaluation, retrieval patterns, analytics workflows, career use-cases, and product thinking for AI. New episodes weekly. Subscribe for the how-to; stay for the shipped thing. 🔗 Connect with Me: Free Email NewsletterWebsite: Data & AI with MukundanGitHub: https://github.com/mukund14Twitter/X: @sankarmukund475LinkedIn: Mukundan SankarYouTube: Subscribe

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Synthetic Data: The AI Gold Rush You Can't Afford to Miss

2025-01-15 Listen
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Episode Summary In this episode, we dive into the transformative power of synthetic data and its ability to bypass privacy barriers while accelerating AI innovation. Learn how industries like healthcare, finance, and retail leverage synthetic data to fuel progress and discover actionable steps to implement this game-changing technology. Key Topics Covered What Is Synthetic Data?Definition and importance.How it solves privacy and data scarcity challenges.Top 5 Breakthroughs in Synthetic Data:SafeSynthDP: Differential privacy for secure synthetic data generation.GANs for Healthcare: Generating synthetic patient records.CaPS: Collaborative synthetic data sharing across organizations.Private Text Data: Privacy-safe NLP dataset generation.Vertical Federated Learning: Secure synthetic data creation for tabular datasets.Applications Across Industries:Healthcare: HIPAA-compliant AI for diagnostics.Finance: Risk modeling with synthetic transaction data.Retail: Personalization using synthetic customer profiles.Action Plan:Learn and apply differential privacy techniques.Experiment with large language models for synthetic data.Use federated learning for collaborative data sharing.Build synthetic datasets for complex, messy data.Market privacy-first solutions to build customer trust.Resources Mentioned Research Papers:SafeSynthDP: Privacy-Preserving Data GenerationGANs for Healthcare DataCaPS: Collaborative Synthetic Data PlatformPrivate Predictions for NLPVertical Federated Learning for Tabular DataTools and Frameworks:TensorFlow Privacy LibraryPyTorch GAN ZooFlower Framework for Federated LearningTakeaways Synthetic data is not just a workaround—it’s a key enabler of privacy-compliant AI innovation.Industries across the board are adopting synthetic data to overcome regulatory and privacy challenges.You can start leveraging synthetic data today with available tools and frameworks.Ready to explore the power of synthetic data? Dive into the resources mentioned and start experimenting with synthetic data generation to give your AI strategy a competitive edge. Subscribe to our podcast for more cutting-edge insights into the world of AI and data innovation.

Website: https://mukundansankar.substack.com/