Innovation Theory & Strategy
This concept describes innovations that start simple and eventually replace established technologies or companies.
What is disruptive innovation?
This type of AI model is trained on massive datasets to generate text, images, or code.
What is a large language model (LLM)?
This term refers to the point where a startup’s revenues equal its expenses.
What is break-even point?
This architecture processes large amounts of data across multiple machines simultaneously.
What is distributed computing?
This concept refers to satellites orbiting Earth at a fixed position relative to the surface.
What is geostationary orbit?
This strategy involves using external ideas and partnerships rather than relying only on internal research.
What is open innovation?
This learning method involves agents improving performance through trial and error with rewards.
What is reinforcement learning?
This metric compares customer lifetime value to acquisition cost.
What is the LTV/CAC ratio?
This system stores structured data in tables and supports complex queries.
What is a relational database?
This propulsion method uses electric fields instead of traditional fuel combustion.
What is ion propulsion?
This framework explains how new technologies move from early adopters to mainstream markets.
What is the technology adoption lifecycle (or diffusion of innovation)?
This issue occurs when AI models produce incorrect or fabricated information confidently.
What are hallucinations (in AI)?
This term refers to a startup’s ability to generate revenue consistently over time.
What is revenue sustainability (or recurring revenue model)?
This concept refers to real-time data processing as information is generated.
What is stream processing?
This telescope, launched in 2021, observes the universe in infrared to study early galaxies.
What is the James Webb Space Telescope?
This concept describes the gap between early adopters and the early majority in technology markets.
What is the “chasm” (Crossing the Chasm)?
This concept refers to reducing the size of AI models while maintaining performance.
What is model compression (or distillation)?
This concept refers to ownership reduction as new investors enter a startup.
What is equity dilution?
This challenge arises when data volume grows faster than systems can manage or analyze it.
What is big data scalability (or data overload)?
This concept refers to long-duration human missions beyond Earth orbit, such as to Mars.
What is deep space exploration?
This strategy involves creating entirely new market space rather than competing in existing markets.
What is Blue Ocean Strategy?
This challenge arises when AI systems optimize for goals that do not align with human intentions.
What is goal misalignment (or the alignment problem)?
This scenario occurs when a company grows rapidly but fails due to poor financial management or scaling issues.
What is scaling failure (or premature scaling)?
This concept refers to ensuring data accuracy, consistency, and reliability across systems.
What is data integrity?
This challenge involves protecting astronauts from cosmic radiation during long space missions.
What is radiation shielding (or space radiation protection)?