AI Coach - Anil Nathoo

Click here to read more. This podcast covers the US Department of Education report entitled "AI and the Future of Teaching and Learning". The podcast explores the opportunities and challenges of integrating artificial intelligence (AI) into education, emphasizing the need for policies that prioritise human involvement and equity. It defines AI in the context of education and discusses it...

Click here to read more . Thios podcast discusses the IBM article by Cole Stryker entitled "How do AI agents learn and adapt over time?" AI agent learning is the process where an artificial intelligence agent improves performance through interaction with its environment and data. While some AI agents are reactive and do not learn, learning agents adapt based on feedback, enhancing decisi...

Click here to read more . This podcast disccusses the IBM article entitled "AI agents in 2025: Expectations vs. reality" by Ivan Belcic and Cole Stryker. It examines the expectations surrounding AI agents in 2025 versus the current reality of their capabilities. It discusses the media hype around AI agents and provides insights from IBM experts on what constitutes an AI agent, contrastin...

Click here to read more . This podcast discusses the research paper by Anand Ramachandran entitled "Latest Advances in Agentic AI Architectures, Frameworks, Technical Capabilities, and Applications". It serves as a comprehensive overview of Agentic AI , outlining its evolution beyond traditional and generative AI towards autonomous decision-making and action. It details various architect...

Click here to read more . This podcast discusses the academic article from the International Journal of Computer Engineering & Technology offers a detailed examination of Agentic AI, which represents a significant advancement in artificial intelligence through its autonomous decision-making and adaptive problem-solving capabilities. Authored by Panneer Selvam Viswanathan, the paper explores th...

Click here to read more . This podcast provides a practical guide to building agents , defining them as systems that use large language models (LLMs) to independently execute complex, multi-step workflows on a user's behalf. It outlines key components like the LLM model, tools, and instructions required for agent design. The podcast also covers when and how to build agents, suggesting starting...

Click here to read more . Business decisions  are essential choices for organisations aiming to achieve goals and manage resources. This text categorises these decisions into four primary types:  strategic decisions , which are high-level and long-term, shaping the overall direction;  tactical decisions , which are medium-term and support strategic aims through actionable plans;  operational decis...

Click here to read more . This podcast examines the burgeoning role of  artificial intelligence agents  in various business functions and the associated considerations. AI agents  are defined as as autonomous entities that perceive their environment, plan actions, and execute tasks with minimal human oversight, highlighting their potential to automate repetitive work, improve efficiency, and gener...

Click here to read more . This podcats presents a  timeline illustrating the evolution of decision theory  from the early 20th century through 2024. It highlights the introduction of  key concepts and methodologies  such as behavioural decision theory, multi-criteria decision analysis techniques like AHP and TOPSIS, and frameworks related to intuition and naturalistic decision making. The timeline...

Click here to read more . This podcast discuss different facets of decision-making. Key themes include: 1. identifying and mitigating common decision-making biases , such as confirmation bias and sunk cost fallacy, offering tips to improve objectivity. 2. structured, step-by-step process for making effective decisions , particularly in a business context, emphasising framing the decision, building...

Click here to go to read more . This podcast discuss  artificial intelligence (AI)  and  decision intelligence (DI) , highlighting their importance in various sectors, particularly healthcare and business. One source presents a  systematic review of reviews  on AI applications in healthcare decision-making, identifying three main themes: clinical, organizational, and shared decision-making. Other...

Click here to read the article . The podcast discuss the transformative potential of  AI-powered education , focusing on the concept of  self-learning and self-teaching AI . It explores how AI can acquire knowledge through methods like  Reinforcement Learning (RL)  and  Self-Supervised Learning (SSL) , and effectively transfer this knowledge using  Natural Language Processing (NLP)  and  adaptive...

Click here to read the article . The spodcast provides a comprehensive overview of  AI conversational orchestration , defining it as the strategic integration of AI tools like  NLP models ,  chatbots ,  APIs , and  data pipelines  with  human expertise  to create unified, intelligent interactions. It highlights the problem of  fragmentation  among current AI solutions and explains how orchestratio...

Click here to read the article . This podcast presents a comprehensive ten-step guide focused on artificial intelligence for business decision-making. The initial sections explore the advantages of using AI agents to overcome the challenges of traditional decision-making processes, further categorising different types of business decisions. It then elucidates what AI agents are and how they functi...

Click here to read the article . This podcast explores  Decision Intelligence (DI) , an interdisciplinary field combining  data science, AI, and decision theory  to enhance organizational decision-making in data-saturated environments. It details the  core concept, scope, and key components  of DI frameworks, including data management, entity resolution, analytics, visualization, and decision mana...

Click here to read the article . The Evolution of Decision Intelligence - AI Coach" traces the development of data-informed decision-making. It begins by exploring the foundational concepts of statistical process control, data analysis, and bounded rationality in the mid-20th century. The podcast then examines the emergence of Decision Support Systems in the 1970s and 1980s as early technolog...

Click here to read the article . This podcasy from AI Coach distinguishes between  Data-Driven Decision-Making (DDDM)  and  Decision Intelligence (DI) , explaining that while DDDM uses data to inform specific choices, DI is a broader framework for designing how decisions are made across an organisation. The podcast outlines the processes for both approaches, highlighting that DI incorporates and e...

This podcast series explores the potential of self-learning Agents and Teaching AI systems. It details how AI can learn through reinforcement and self-supervised learning, utilising technologies like vector databases and knowledge graphs to store and retrieve information effectively. It then guides listeners through designing an AI tutor, including adaptive learning systems and interactive interfa...

Click here to read the article . This podcast explains the DT4DI is a framework that combines digital twins, artificial intelligence (AI) and  decision intelligence  to improve decision-making  processes . It utilises digital twins, which are virtual replicas of physical systems that are updated with real-time data, to simulate scenarios and predict outcomes. By combining AI and machine learning,...

Click here to read the article . This is an introductory guide to machine learning (ML), covering fundamental concepts and various types including supervised, unsupervised, self-supervised, reinforcement, and semi-supervised learning. The guide details the applications of each type, highlighting key differences between supervised and unsupervised approaches. It also addresses common challenges in...

Click here to read the article . This podcast describes the Knowledge Augmented Generation (KAG) Framework. There are 3 main components:  KAG-Builder  (for offline indexing),  KAG-Solver  (for hybrid reasoning), and  KAG-Model  (for optimisation). The framework leverages Natural Language Understanding (NLU), Natural Language Inference (NLI), and Natural Language Generation (NLG) – core NLP process...

Click her to read the article . This podcast covers Knowledge Augmented Generation (KAG), a novel AI framework designed to improve Large Language Models (LLMs) in professional fields. KAG addresses limitations of existing retrieval-based systems by incorporating knowledge graphs and advanced logical reasoning capabilities. This allows for more accurate and contextually relevant responses, particul...

Click here to read the article . The rise of Large Language Models (LLMs) like OpenAI’s GPT and the growing interest in autonomous agents have reshaped how software-as-a-service (SaaS) applications are conceptualized and built. Leveraging these technologies can enable dynamic, adaptive, and intelligent software solutions. This podcast explores how to build a SaaS application using agents and LLMs,...

Click here to read the article . This podcast explores vector databases, their architecture, and applications in AI. It explains how vectors represent high-dimensional data, detailing core database architecture, indexing techniques (like HNSW and FAISS), and distance metrics. The article then examines various applications including semantic search, recommendation systems, and anomaly detection, ac...

Click here to read the article . This podcast from AI Coach explores key artificial intelligence trends predicted for 2025, focusing on technologies offering businesses a competitive edge. It examines foundational technologies like agentic AI and multimodal AI, alongside advancements in customer experience, cybersecurity, and infrastructure. The podcast also highlights emerging technologies such a...