AI in Business & Digital Transformation

Watch

• How will AI change the world? ↗TED-Ed
• What Will Happen to Marketing in the Age of AI? | Jessica Apotheker | TED ↗TED
• What Is an AI Anyway? | Mustafa Suleyman | TED ↗TED
• Artificial intelligence comes to farming in India | BBC News ↗BBC News
• A.I. Revolution | Full Documentary | NOVA | PBS ↗NOVA PBS Official
• The AI rollout is here - and it's messy | FT Working It ↗Financial Times

Read

• The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies ↗A seminal work elucidating the profound economic and societal shifts wrought by digital technologies, providing essential context for AI's impact.Erik Brynjolfsson and Andrew McAfee
• Prediction Machines: The Simple Economics of Artificial Intelligence ↗This book offers an incisive economic framework for understanding how artificial intelligence fundamentally alters the cost of prediction, reshaping business strategy.Ajay Agrawal, Joshua Gans, Avi Goldfarb
• The Business of Artificial IntelligenceA concise, authoritative primer on AI's commercial implications, offering a clear roadmap for leveraging its transformative potential within the enterprise.Erik Brynjolfsson and Andrew McAfee
• What's Your AI Strategy?This article provides a crucial framework for leaders to articulate and implement a coherent AI strategy, moving beyond mere technological adoption to strategic advantage.Karim R. Lakhani and Marco Iansiti
• Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World ↗Essential reading for executives grappling with how AI-driven operating models demand a radical rethinking of traditional business strategy and organizational design.Marco Iansiti and Karim R. Lakhani

Voices to follow

• Andrew Ng ↗A leading voice in democratising AI education and applying machine learning to real-world business challenges, particularly through his work on deep learning.AI researcher, Stanford University adjunct professor, co-founder of Coursera and Landing AI
• Erik Brynjolfsson ↗His research meticulously charts the economic impact of artificial intelligence and digital technologies on productivity, employment, and societal structures.Director of the Stanford Digital Economy Lab, Professor at Stanford University
• Kai-Fu Lee ↗Offers a compelling perspective on the future of AI, particularly its transformative potential in business and the competitive landscape between the US and China.Venture capitalist, AI expert, author, former head of Google China
• Satya Nadella ↗Under his leadership, Microsoft has strategically integrated AI across its product suite, demonstrating its practical application and scaling in enterprise environments.Chief Executive Officer, Microsoft

Glossary

• AlgorithmAn algorithm is a set of step-by-step instructions or rules that a computer follows to solve a problem or complete a task. Think of it like a recipe for a computer program. For example, the steps your phone takes to unlock using your fingerprint, or the rules a search engine uses to rank websites, are both algorithms.
• Artificial Intelligence (AI)AI is when computers are programmed to think and learn like humans, allowing them to solve problems, understand language, and make decisions. It's about making machines smart. For example, when you ask a smart speaker like Alexa or Google Assistant a question, it uses AI to understand your voice and give you an answer.
• AutomationAutomation means using technology to make machines or systems do tasks automatically, without needing a person to control them directly. It saves time and effort by letting computers handle repetitive jobs. For example, when an online store automatically sends you an email confirming your order and tracking information, that's automation at work.
• Cloud ComputingCloud computing means storing and accessing data and programs over the internet instead of directly on your computer's hard drive. It's like renting computer power and storage from a big data center. For example, when you save your photos to Google Photos or use online tools like Google Docs, you're using cloud computing because your files are stored on remote servers, not just your device.
• CybersecurityCybersecurity is the practice of protecting computer systems, networks, and data from theft, damage, or unauthorized access. It's about keeping digital information safe and secure. For example, using strong passwords, having antivirus software on your computer, or a bank encrypting your online transactions are all parts of cybersecurity.
• DataData is information, facts, or statistics collected and stored, often by computers. It's the raw material that AI and other digital tools use to learn and make decisions. For example, the number of likes on your social media posts, the time you spend watching videos, or your online search history are all types of data.
• Digital TransformationDigital transformation is when a business or organization changes how it works and delivers value by using new digital technologies. It's about updating old ways with modern tech. For example, a school that used to send paper notices now uses a mobile app for all announcements, homework, and parent communication.
• E-commerceE-commerce means buying and selling goods or services over the internet. It's essentially online shopping and business transactions. For example, when you buy clothes from an online store like Myntra or order food through Swiggy, you are participating in e-commerce.
• InnovationInnovation is the process of creating new ideas, methods, or products that are better or more effective than existing ones. It's about finding creative solutions to problems. For example, the invention of smartphones, which combined a phone, camera, and internet browser into one device, was a major innovation.
• Machine Learning (ML)Machine Learning is a part of AI where computers learn from data without being specifically programmed for every single task. They get better at predicting or recognizing things the more data they process. For example, when a streaming service suggests movies you might like based on what you've watched before, it's using machine learning.
• User Experience (UX)User Experience (UX) refers to how a person feels when interacting with a product, system, or service, especially a digital one. A good UX means it's easy, enjoyable, and efficient to use. For example, if a website is easy to navigate, loads quickly, and helps you find what you need without confusion, it has a good user experience.

Threads 5

Where this connects to other fields, and why it's worth knowing.

• Immunology Health

  When a company adopts new tech, it often gets rejected like a transplanted organ. Middle managers whose power the tool threatens act like antibodies, quietly attacking and smothering the change until it does nothing. The 'body' spits out the new part.

• Growth & Productivity Economics

  When factories first got electric motors, output barely improved for decades. They'd just bolted motors onto old steam-era layouts. Only after redesigning the whole floor did production leap. Most AI is stuck the same way: new tool, old setup.

• Revolutions & Upheaval History

  Big company makeovers fail the way revolutions do. Grabbing the new tool, like storming the palace, is the easy part. But old habits, loyalties, and power struggles survive underneath and quietly drag everything back to how it was.

• Social Institutions Sociology

  There's a rule in tech: software ends up shaped like the company that built it. If two teams barely talk, their two pieces of code won't fit together well either. So a business can't just upgrade its app without first fixing how its people are organized. The code is basically a fossil of the company's own social structure.

• How Habits Form and Break Psychology

  Most company tech makeovers fail not because the software is bad, but because people keep doing things the old way out of habit. A team's routine is as sticky as a personal addiction, cue, routine, reward, and no memo is going to break it.