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How can we harness the principles of intelligence to foster innovation and collaboration among non-data scientists? This book outlines a practical methodology to help you grasp fundamental concepts of AI and human intelligence, enabling you to achieve goals more efficiently. Extensive research with data scientists, business analysts, and data engineers led authors Ron Itelman and Juan Cruz Viotti to identify three key activities: assess, analyze, and align. These activities aim to enhance innovation where Agile may fall short in meeting the needs of business, data, and code teams. The guide demonstrates how to collaborate effectively and design intelligent systems without needing to become a data scientist. By mapping your team, objectives, data, actions, and outcomes as a holistic network, you can uncover connections that may not be immediately apparent. You'll learn to identify hidden root problems and understand how information flows within your organization to drive better, faster innovation. The methodology emphasizes creating data schemas, products, and contracts, and designing improved data experiences. Additionally, it introduces the concept of a wisdom graph, which integrates knowledge, people, processes, objectives, and outcomes, while also exploring integration with ChatGPT for large language model innovation opportunities.
Acquisto del libro
Unifying Business, Data, and Code, Ron Itelman, Juan Cruz Viotti
- Lingua
- Pubblicato
- 2024
- Rilegatura
- (In brossura)
Metodi di pagamento
Ancora nessuna valutazione.
- Titolo
- Unifying Business, Data, and Code
- Sottotitolo
- Designing Data Products with JSON Schema
- Lingua
- Inglese
- Autori
- Ron Itelman, Juan Cruz Viotti
- Editore
- O'Reilly Media
- Pubblicato
- 2024
- Formato
- In brossura
- Pagine
- 354
- ISBN10
- 1098145003
- ISBN13
- 9781098145002
- Serie
- Categoria
- Descrizione
- How can we harness the principles of intelligence to foster innovation and collaboration among non-data scientists? This book outlines a practical methodology to help you grasp fundamental concepts of AI and human intelligence, enabling you to achieve goals more efficiently. Extensive research with data scientists, business analysts, and data engineers led authors Ron Itelman and Juan Cruz Viotti to identify three key activities: assess, analyze, and align. These activities aim to enhance innovation where Agile may fall short in meeting the needs of business, data, and code teams. The guide demonstrates how to collaborate effectively and design intelligent systems without needing to become a data scientist. By mapping your team, objectives, data, actions, and outcomes as a holistic network, you can uncover connections that may not be immediately apparent. You'll learn to identify hidden root problems and understand how information flows within your organization to drive better, faster innovation. The methodology emphasizes creating data schemas, products, and contracts, and designing improved data experiences. Additionally, it introduces the concept of a wisdom graph, which integrates knowledge, people, processes, objectives, and outcomes, while also exploring integration with ChatGPT for large language model innovation opportunities.