Mike Talks AI

Mike Talks AI explores practical AI applications in business, shares insights from personal experiences in starting and selling a company, and recommends resources on business, management, and technology. Recurring themes include optimization in operations, the importance of communication and relationship building in professional settings, and reflections on the evolution and impact of AI in various industries.

Business Strategy Artificial Intelligence Operations Research Management and Leadership Educational Resources Startup Advice Professional Development Data Science Supply Chain Management Book and Podcast Recommendations

The hottest Substack posts of Mike Talks AI

And their main takeaways
58 implied HN points 05 Feb 24
  1. Operations excellence is key: Musk focused on improving efficiency and revolutionizing industries through operational excellence.
  2. Design the right factory: Musk emphasized the importance of well-designed factories and involvement of design engineers in manufacturing processes.
  3. The Algorithm for operations excellence: Musk's framework involves questioning requirements, deleting parts/processes, simplifying, accelerating cycle time, and automating last.
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275 implied HN points 16 Dec 22
  1. Enhance a network design talk with interactive elements and case studies.
  2. Consider analyzing hidden objectives for better decision-making in network design.
  3. Analyze risks and scenarios thoroughly to create robust solutions in network design.
117 implied HN points 28 Aug 23
  1. The author wants to benefit students by sharing their work experience in implementing business solutions using data and math.
  2. The author aims to strengthen industry connections through teaching a class where students work as consultants on real-world projects.
  3. The author enjoys bridging the gap between technical and business worlds, and looks forward to sharing knowledge with colleagues.
98 implied HN points 27 Aug 23
  1. Practical AI encompasses various machine learning algorithms and techniques, including optimization and Operations Research.
  2. The concept of Practical AI allows for the inclusion of both established and emerging approaches in the field.
  3. To effectively solve real-world problems, AI leaders need a diverse set of skills and expertise, and must understand the strengths and weaknesses of different algorithms.
157 implied HN points 23 Jan 23
  1. Optimization is important in data science for solving business problems.
  2. Examples shared in talks can resonate with audiences from different regions.
  3. Intellectual Property in supply chain involves algorithms, engineering, usability, and deployability.
235 implied HN points 15 Sep 22
  1. The post shares a list of 48 recommended business books, categorized by topics like Operations and Supply Chain, Practical AI, Start-ups, General Management, Innovation, Technical, and more.
  2. The author gives a caveat that there are many other great business books beyond the ones listed and expects to add more to the list.
  3. The author emphasizes the importance of taking notes while reading, being open to re-reading favorite books, and seeking reviews or recommendations before starting a new book.
78 implied HN points 27 Jul 23
  1. The term AI can mean different things and understanding those meanings is crucial for clear communication, better decisions, and addressing concerns.
  2. Different definitions of AI include AGI or artificial general intelligence, deep learning for solving complex problems, and tools like ChatGPT for tasks like writing and summarizing.
  3. CEOs, leaders, and investors should explore opportunities in AGI, deep learning, ChatGPT, and practical AI to stay relevant and make informed decisions.
98 implied HN points 19 May 23
  1. Consider a hybrid approach for data science teams to balance the strengths of both centralized and decentralized setups.
  2. Some companies are experimenting with intentionally rotating between centralized and decentralized structures every few years.
  3. Switching between centralization and decentralization periodically allows for exploration and scalability of diverse ideas within data science teams.
78 implied HN points 12 Jun 23
  1. The AI community debates whether advancements in AI should be viewed with fear or optimism.
  2. There are prominent voices expressing concerns about the potential dangers of AI, leading to the 'AI Doom' side.
  3. On the other hand, there are sources like Marc Andreessen who present a strong case for optimism about AI's potential benefits.
117 implied HN points 06 Oct 22
  1. Technology advancements in solver speed have been exponential.
  2. Optimization strategies are evolving, challenging traditional advice.
  3. Consider leveraging powerful commercial solvers for improved performance.
58 implied HN points 13 Jun 23
  1. Supply chain professionals can use ChatGPT as a 'loss leader' to educate leaders about AI's potential for supply chains.
  2. ChatGPT can help supply chain teams build more AI algorithms by breaking down syntax barriers and expanding team capabilities.
  3. Exploring how ChatGPT can turn vast supply chain data into valuable insights is an important research opportunity.
98 implied HN points 20 Oct 22
  1. Some in the tech community are discovering a new wave of AI focused on content creation.
  2. This wave is different from established AI fields like AGI and Practical AI.
  3. Content AI is exciting because it's accessible to everyday consumers and small businesses.
196 implied HN points 21 Feb 22
  1. Data science is a hot career choice with diverse job opportunities
  2. Operations Research is a lesser-known but fast-growing field within data science
  3. Both careers use data and math to solve real-world problems in various industries
98 implied HN points 09 Sep 22
  1. The book covers a wide range of topics in the field of supply chain management.
  2. It is meant to be accessible to a broad audience and does not delve deeply into each topic.
  3. The book is a valuable resource for beginners and experienced professionals in the supply chain industry.