Data & AI with Mukundan

Explore practical insights on data science, AI, machine learning, and productivity, designed to help both beginners and experts simplify complex topics and boost personal efficiency. Website: mukundansankar.substack.com

The AI That Understood Me 05/31/2025

The Future of Time Management 03/24/2025

9 Hidden Data Visualization Tricks to Transform Your Visuals using Plotly library in Python 12/20/2024

90% of people still don’t know this AI hack… are you missing out? 12/11/2024

90% of people still don’t know this AI hack… are you missing out? Description In this episode of Data & AI with Mukundan, we dive into Lang Chain—a powerful tool that connects AI systems for smarter, more efficient applications. Mukundan breaks down how Lang Chain simplifies complex processes by acting as a bridge between AI tools, enabling automation and improved decision-making. From content creation and chatbots to research and customer support, discover real-world examples of Lang Chain in action. Learn how it can fetch, summarize, and synthesize information from multiple sources, and how businesses and individuals alike can use it to save time and effort. Whether you're a content creator, academic researcher, or entrepreneur, this episode is packed with insights on how Lang Chain can work for you. Key Takeaways What is Lang Chain? A tool that connects different AI systems, enabling smarter, automated workflows. Why Lang Chain Matters: Automates repetitive tasks. Saves time by integrating multiple AI tools. Facilitates smarter decision-making through contextual understanding. Real-Life Applications: Chatbots for intelligent customer interaction. Content creation (e.g., blogs, emails, social media posts). Research tools for summarizing academic papers and lengthy documents. How Lang Chain Works: Combines AI tools like ChatGPT, Google, and specialized engines (e.g., ) to fetch and synthesize data into actionable outputs. Getting Started with Lang Chain: Choose a task (e.g., chatbot, writing assistant, research). Combine Lang Chain with AI tools like ChatGPT. Let it automate tasks for smarter results. Highlights & Examples Use Lang Chain to brainstorm blog ideas using ChatGPT and . Simplify customer support with automated chatbots. Accelerate academic research by summarizing complex documents. Enhance workflows with tools like Zapier, which integrates Lang Chain. Actionable Steps Start with simple tasks to explore Lang Chain’s potential. Experiment with connecting AI tools for tailored solutions. Gradually build smarter systems that save you time and effort. Closing Notes Mukundan encourages listeners to experiment with Lang Chain and see its magic in action. Don’t forget to subscribe for more episodes on harnessing AI for smarter living! Additional Links Mukundan's website: Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824960

AI Agents: The Autonomous Sidekick Revolutionizing Work for Startups and Creators 11/26/2024

Multimodal AI: The Detective Changing the Game for Businesses 11/25/2024

Multimodal AI: The Detective Changing the Game for Businesses Episode Overview In this fascinating episode, we explore Multimodal AI—the cutting-edge technology that's reshaping how businesses solve complex problems. Think of it as a brilliant detective, piecing together clues from text, images, audio, and video to solve mysteries that would otherwise go unnoticed. Whether it's improving customer satisfaction, boosting team performance, or outsmarting competitors, Multimodal AI has the answers. Let’s dive into the details and discover how this incredible tool can transform the way you work. What Is Multimodal AI? Multimodal AI is like a detective for businesses. Instead of relying on just one type of information, it gathers and analyzes data from multiple sources: Text: Emails, reports, and customer feedback. Images: Product photos, website heatmaps, and ads. Audio: Recorded conversations and customer support calls. Video: Marketing content, training sessions, and competitor campaigns. By combining all these clues, Multimodal AI provides a full picture of what’s really happening in your business. How It Solves Problems Imagine running a company where data is scattered everywhere. Multimodal AI connects the dots to find hidden solutions. For example: Sales Drop Mystery: It reads sales reports (text), analyzes fewer clicks on your website (image), listens to customer complaints (audio), and reviews competitor ads (video). The answer? Your competitor’s design is outperforming yours. Employee Training Issues: By scanning training videos and listening to feedback, it uncovers why new hires are struggling and suggests solutions. Customer Dissatisfaction: It pieces together product reviews, social media chatter, and customer service calls to highlight what your audience really wants. The Detective’s Toolkit Multimodal AI has a wide range of tools that can help your business: Competitor Analysis: Tracks trends from competitor ads and online content to refine your strategy. Pattern Recognition: Finds inefficiencies in processes, helping you unlock hidden opportunities. Customer Insights: Decodes reviews, photos, and social media to tell you exactly what your customers desire. Employee Feedback: Helps improve team performance by analyzing onboarding videos and feedback sessions. Why It Matters With Multimodal AI, you don’t just respond to problems—you prevent them. Whether it’s a struggling campaign or unhappy customers, this tool can solve the issue before it escalates into a crisis. It’s like having a corporate Sherlock Holmes by your side, ensuring your business stays one step ahead. Final Thoughts Multimodal AI is more than just technology—it’s your secret weapon for success. Tune in to this episode to learn how it works, why it’s essential, and how it can take your business to the next level. Listen now and solve your toughest challenges with Multimodal AI! Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824975

Unlocking the Power of Fine-Tuning: Making AI Smarter, Not Harder 12/04/2024

Unlocking the Power of Fine-Tuning: Making AI Smarter, Not Harder Episode Description: In this episode, we dive deep into the world of fine-tuning pre-trained AI models. Starting with the basics of pre-trained models like BERT, GPT, and ResNet, we explore how fine-tuning transforms them from generalists into task-specific experts. We discuss real-world examples, from improving sentiment analysis accuracy by 15% to enhancing tumor detection rates by 25%, and even boosting translation precision by 20% for specialized language pairs. Learn how fine-tuning not only sharpens AI's skills but also saves time, resources, and makes AI applications more sustainable. Wrapping up with best practices for fine-tuning, you'll get actionable tips to ensure success in your AI projects. Whether you're an AI enthusiast or just curious about how these systems get smarter, this episode is packed with insights. Don't forget to check the show notes for the blog link and subscribe for more AI mysteries decoded! Episode Chapters [00:00 - 02:34] Introduction to Pre-Trained Models Understanding the basics of pre-trained AI models and why they often need fine-tuning to meet specific requirements. [02:35 - 02:55] Cracking Sarcasm in Text Exploring how fine-tuning helps AI understand nuances like sarcasm and slang, improving sentiment analysis. [02:56 - 04:25] Enhancing Image Models for Niche Tasks Discover how fine-tuning image models like ResNet improves accuracy in medical imaging and other specialized tasks. [04:26 - 04:59] Efficiency Through Fine-Tuning How fine-tuning reduces training time by 50%, making it an eco-friendly and resourceful approach. [05:00 - 05:17] Best Practices for Fine-Tuning Key tips for successful fine-tuning, including managing learning rates and avoiding overfitting. [05:18 - 05:56] Conclusion: Smarter, Not Harder A summary of how fine-tuning transforms AI into a sharper, more efficient tool for solving real-world problems. Additional Links: Blog Post that talks about this: Stay tuned for the next episode and check the show notes for more resources! Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824945

Unlocking the Future: The Mystery of Neuro Symbolic AI in Business Strategy 11/14/2024

Unlocking the Future: The Mystery of Neuro Symbolic AI in Business Strategy Episode Notes: Overview In this compelling episode, I dive into the cutting-edge world of Neuro Symbolic AI, a transformative approach to business strategy that goes beyond traditional SWOT analysis. Moving past the capabilities of older models like GPT-3.5, this episode introduces a tool that doesn’t just identify strengths, weaknesses, opportunities, and threats but also explains the deeper implications and potential future outcomes of each. Join me as I explore how Neuro Symbolic AI is setting new standards for strategic analysis. Key Topics Covered Rebranding the Show I open by explaining the recent rebranding to focus entirely on data and AI, setting the stage for a deeper, more specialized dive into AI-driven insights. Introduction to SWOT Analysis Discover the basics of SWOT analysis and its applications in evaluating businesses, projects, and even personal goals. I explore how traditional AI tools, like GPT-3.5, offer simple, list-based insights but often lack depth and context. The Limitations of Traditional AI I discuss how traditional AI, though powerful, can be too simplistic. It provides a list of strengths and weaknesses without fully explaining their significance or forecasting potential impacts. This often leaves critical details overlooked. Neuro Symbolic AI: The Next Evolution Here, I introduce Neuro Symbolic AI, a hybrid model that combines pattern recognition with rule-based logic. This allows it to not only identify key traits but also to explain why they matter and how they could influence future outcomes. Neuro Symbolic AI transforms SWOT analysis from a static list into a dynamic, predictive tool for strategic planning. Real-World Applications and Advantages Using the example of a fictional toy company, I demonstrate how Neuro Symbolic AI can reveal deeper insights and future opportunities or challenges that traditional AI might miss. This tool doesn’t just give a list—it explains how each factor contributes to the company’s overall strategy and growth potential. The Future of Strategic AI I wrap up by discussing the potential of Neuro Symbolic AI to revolutionize strategic analysis across industries. This AI model can anticipate market shifts, rank strategic priorities, and offer actionable insights, making it an invaluable asset for forward-thinking businesses. Why Listen? If you’re interested in the latest advancements in AI or seeking smarter, future-oriented approaches to business strategy, this episode is a must-listen. Neuro Symbolic AI represents a breakthrough in predictive analysis, providing the kind of context and foresight that can turn reactive strategies into proactive ones. Additional Links: 1] Neurosymbolic AI vs. Traditional AI 2] FREEBIES: Sign up for my substack newsletter () and get: free RAG cheatsheet, and wait for it... a FREE Neuro-symbolic AI Cheatsheet! 3] AI for SWOT Analysis Blog Post: Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824985

AI for Customer Lifetime Value (CLV) Prediction: Why Smart Marketers Are Paying Attention 11/13/2024

AI for Customer Lifetime Value (CLV) Prediction: Why Smart Marketers Are Paying Attention Episode Overview: In this episode, we dive into how AI is transforming Customer Lifetime Value (CLV) prediction, a crucial metric for marketers aiming to understand and enhance customer relationships. We discuss why traditional CLV models fall short, how AI provides more accurate, real-time insights, and why this shift is vital for modern marketing strategies. Key Takeaways: Importance of CLV: CLV helps identify high-value customers, guiding where to focus marketing efforts for long-term success. Limitations of Traditional CLV Models: Outdated methods rely on static data and often miss dynamic changes in customer behavior. AI-Powered CLV Prediction: Real-time data processing enables timely responses to shifts in customer activity. Enhanced segmentation allows marketers to understand not just who their customers are, but how they engage. Predictive capabilities help foresee customer behavior, enabling proactive marketing strategies. Practical Insights: AI tools like Google AutoML and Salesforce Einstein offer accessible ways to integrate AI into marketing without needing extensive technical expertise. Start by organizing and cleaning customer data to ensure accuracy and effectiveness in AI analysis. Chapter-wise Breakdown Introduction & Topic Overview (00:00 - 00:10) Simplifying CLV & Its Traditional Challenges (00:10 - 02:00) The Power of AI for CLV (02:00 - 05:00) AI-Driven Benefits & Customer Insights (05:00 - 09:16) Case Study: Starbucks' Success with AI (09:16 - 12:45) Practical Steps & Final Takeaways (12:45 - End) Real-Life Example: We highlight how Starbucks uses AI to track customer interactions and adapt their marketing efforts based on real-time insights, showcasing the tangible benefits of adopting AI for CLV prediction. Why It Matters: AI-driven CLV prediction isn’t just a trend; it’s a strategic shift that allows marketers to build stronger, data-backed relationships with their customers and stay ahead in an ever-competitive landscape. Final Thought: If you’re not using AI for CLV yet, now is the time to start. Small, data-driven steps can lead to significant improvements in customer retention and business growth. Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824980

Turbocharging Your PDF Workflow with AI: Time-Saving Tools for Data and AI Professionals 10/30/2024

Turbocharging Your PDF Workflow with AI: Time-Saving Tools for Data and AI Professionals Episode SummaryIn this episode, we dive into the power of AI to tackle the often-overwhelming world of PDFs and technical documents. We explore an innovative tool that makes PDFs more accessible and actionable, from summarizing key insights to generating audio and even preparing Q&A. If you work in data science, AI, or any field that requires you to stay up-to-date with extensive documentation and research, this tool could be your new best friend. Topics Covered: * The PDF Dilemma * How data professionals face information overload from research papers, reports, and white papers. * Why keeping up with technical documents can feel like a “black hole” for your time. * AI-Powered PDF Assistance * Overview of an AI tool that leverages PyPDF2 and HuggingFace for seamless PDF extraction and summarization. * Using Google Text-to-Speech to convert summaries into audio for learning on the go. * Interactive Content Generation * How the tool creates a more interactive PDF experience by generating questions and answers. * Scenarios where this could be useful: preparing for presentations, understanding dense research, and managing technical documentation. * Real-World Scenarios and Use Cases * Examples of how a data scientist, data analyst, or any professional could save time and improve understanding. * AI as a “study buddy” for deeper learning and faster, more efficient information processing. * Balancing AI with Critical Thinking * The importance of using AI as a tool rather than a replacement for human expertise. * How AI challenges us to become more thoughtful consumers of information and better thinkers overall. Key Takeaways: * Save Time and Boost UnderstandingEmbrace AI to extract core insights from complex documents, potentially freeing up hours each week to focus on high-impact tasks. * Learn on the GoTurn PDF content into audio to make commuting, exercising, or downtime more productive. * Engage with Information InteractivelyUse the tool’s Q&A generation feature to explore documents in a more interactive way, perfect for preparing presentations or deep-diving into research. Final Thought:Imagine applying this technology not only to PDFs but also to other information sources like websites, articles, and even books. As AI continues to evolve, how might it transform the way we learn, work, and think? Call to ActionIf this resonates with you, let us know! Share what types of PDFs or documents you’d tackle with this AI-powered tool and how you think it could change your workflow. Don’t forget to subscribe for more insights on the latest AI tools and how they’re shaping the future of work and learning. Link: This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824995

AI Magic for Happy, Healthy Pets! 10/21/2024

How AI Just Took SWOT Analysis to the Next Level – And How You Can Too! 10/31/2024

How AI Just Took SWOT Analysis to the Next Level – And How You Can Too! Episode Notes Ever wondered how AI can transform business strategy? In this episode, we dive into the fascinating world of AI-powered SWOT analysis. We are tackling an old problem using a new approach. Using the latest technology, like GPT-3.5, companies can now analyze their strengths, weaknesses, opportunities, and threats with lightning speed. Join us as we explore how AI is reshaping the way we understand market dynamics, financial data, and competitive landscapes, with real-world examples from Google and Meta. Whether you're an investor, entrepreneur, or just curious about the future of business, this episode is packed with insights you won't want to miss! Thanks for reading Data, AI, Productivity & Business with a Little Personality! Subscribe for free to receive new posts and support my work. Key Topics Covered: * What is SWOT Analysis?: A quick refresher on this cornerstone of business strategy (Strengths, Weaknesses, Opportunities, and Threats). * AI Meets Business Strategy: How GPT-3.5 and AI technology are revolutionizing traditional SWOT analysis by speeding up data processing and uncovering deeper insights. * Real-World Examples: AI-driven SWOT analysis of Google and Meta, revealing potential vulnerabilities and opportunities for these tech giants. * Google: Over-reliance on ad revenue and the challenges posed by ad blockers. * Meta: Data privacy issues, regulatory hurdles, and user trust challenges. * Competitive Edge: How AI can give businesses a leg up by performing real-time competitive analysis and market trend predictions. * Beyond Business: Could AI also be used to analyze career paths, personal strengths, and even suggest side hustle ideas? We explore the exciting future possibilities of AI-powered insights. Why Listen? This episode is perfect for anyone interested in how cutting-edge AI tools are transforming not just the business world, but potentially the way we approach decision-making in our own lives. Tune in to find out how AI is making sophisticated analysis more accessible, and what that means for the future. Links & Resources: Thanks for reading Data, AI, Productivity & Business with a Little Personality! Subscribe for free to receive new posts and support my work! Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36824990

What is RAGs in Artificial Intelligence? And Why it can be very powerful? 10/05/2024

What is RAGs in Artificial Intelligence? And Why it can be very powerful? Welcome back to the podcast! The host, Mukundan Sankar, is an experienced data professional and AI researcher. This episode will discuss Retrieval Augmented Generation (RAG) and how it's transforming our relationship with information.23 The Problem of Information Overload: We are constantly bombarded with information, making it challenging to find what truly matters. Traditional AI models and search engines can provide inaccurate, outdated information, or even fabricate information (AI hallucination). What is RAG? RAG is an AI model combining retrieval and generation, offering the best of both worlds. Retrieval: Like a super-powered search engine, it searches vast data sources (documents, articles, reports) for the most relevant information based on the user's query. Generation: Takes the retrieved data and summarizes it clearly, concisely, and engagingly. How RAG Differs from Traditional Methods: RAG goes beyond simple keyword matching; it seeks deeper connections, patterns, and contextual data. It's grounded in real-time data from reliable sources, ensuring accuracy and trustworthiness. Real-World Applications of RAG: Personalized News Podcasts: RAG can scan news articles, extract key points, and convert them into an easily digestible audio format. Research Summarization: It can condense complex research papers and scientific reports into key takeaways, saving users time and effort. Efficient Workflows: RAG can summarize lengthy reports, highlighting the most crucial points for faster decision-making. The Benefits of RAG: Personalized Learning and Information Processing: RAG filters out irrelevant data and presents only what's useful to the individual. Increased Efficiency: It automates information gathering and summarization, freeing up time for other tasks. The Importance of Responsible AI Use: While RAG is a powerful tool, its impact depends on our choices. It's crucial to use RAG ethically and thoughtfully to shape a positive future. What’s Next? Don't miss out on future episodes exploring exciting tech trends, data projects, and innovations! If you found this useful, please subscribe to stay updated! Embrace curiosity, keep learning, and stay tuned – the AI revolution is just beginning! You can also find me on and . This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36825010

AI Trends in Marketing For Rest of 2024 and 2025 10/01/2024

AI Trends in Marketing For Rest of 2024 and 2025 Episode Summary: In this episode, we dive into the exciting world of AI and Large Language Models (LLMs) and how they're revolutionizing marketing. Gone are the days of generic campaigns and guesswork. With AI, marketing is becoming highly personalized, insight-driven, and responsive to individual customer needs—all in real-time. Key Points Covered: * The Shift from Data-Driven to Insight-Driven MarketingDiscover how marketing is evolving from simply collecting data to understanding the "why" behind customer behavior. AI allows marketers to predict customer preferences, making campaigns more targeted and effective. * AI-Powered Personalization at ScaleLearn how AI can dig into customer data to deliver hyper-personalized experiences, like suggesting a product based on your previous purchases, time of day, or even the weather in your location. * Customer Journey Mapping with AIAI is now capable of mapping every step of a customer’s interaction with a brand, from the first website visit to the final purchase, helping marketers identify friction points and optimize the entire journey. * The Power of Real-Time AI DashboardsForget the overwhelming spreadsheets! AI-powered dashboards are the new standard, delivering clear, actionable insights in real-time across all marketing channels. * Ethical Considerations in AI-Driven MarketingWith great power comes great responsibility. We explore how marketers can walk the fine line between personalization and privacy, and why transparency and trust are critical in this AI-powered era. * The Future of AI in Customer ExperienceFrom chatbots that truly understand your needs to online shopping experiences that adapt to you, AI is poised to make our everyday interactions with brands smoother and more enjoyable. Memorable Quote:"It’s like having a dedicated marketing team for every single customer." Ethical Discussion:We discuss the responsibility marketers have in ensuring AI respects data privacy and builds trust with consumers. Regulations like GDPR are setting important standards, but it’s up to each brand to find the balance between personalization and privacy. Final Thought:As AI continues to reshape the marketing landscape, it's crucial for brands and customers alike to stay informed, ask questions, and participate in the conversation about how these technologies are used. Have thoughts on how AI is transforming marketing? Share your insights with us, and stay curious for the next episode as we dive deeper into the world of AI, marketing, and beyond. Send me an email at [email protected] Thank you for subscribing. . /episode/index/show/d7c5bc77-9a9b-456d-85d0-19b14cfef1df/id/36825015

Data & AI with Mukundan

TOPICS