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E-grāmata: Unifying Business, Data, and Code

  • Formāts: 356 pages
  • Izdošanas datums: 31-May-2023
  • Izdevniecība: O'Reilly Media
  • Valoda: eng
  • ISBN-13: 9781098144975
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  • Cena: 46,20 €*
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  • Formāts: 356 pages
  • Izdošanas datums: 31-May-2023
  • Izdevniecība: O'Reilly Media
  • Valoda: eng
  • ISBN-13: 9781098144975
Citas grāmatas par šo tēmu:

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How can we harness the powerful principles of intelligence to foster innovation and collaboration, especially among non-data scientists? This book outlines a practical methodology to help you learn fundamental concepts underlying the study of intelligence, including AI and human intelligence, so you can achieve goals faster.

After conducting extensive research with data scientists, business analysts, and data engineers, authors Ron Itelman and Juan Cruz Viotti learned three specific key activities: assess, analyze, and align, to augment innovation where Agile isn't meeting the specific needs of business, data, and code teams.

This guide shows how to collaborate more effectively and design intelligent systems without having to become a data scientist. Map your team, objectives, data, actions, and outcomes as a holistic network and discover connections that may not always be obvious. You'll learn how to reveal hidden root problems and explain how information flows across your organizational networks in order to innovate better, faster.

  • Use an innovation and collaborative methodology grounded in principles of intelligence
  • Create data schemas, data products, and data contracts, and design better data experiences
  • Build a wisdom graph, which combines high-level knowledge, people, processes, objectives, and outcomes, for a focused data science approach to innovation
  • Integrate your wisdom graph with ChatGPT and learn about large language model innovation opportunities

Ron Itelman is a Principal Consultant for the Digital, Data & Analytics team at Clarkston Consulting, mainly focusing on the Life Sciences & BioPharma industry. Ron's background includes working at Pearson on Personalized Learning & Analytics and Computational Psychometrics, at Slalom - Collaborative Learning Networks for government, foundations, and nonprofits, as well as Collective Intelligence for real-time distributed knowledge recommendations. Juan Cruz Viotti is a computer scientist with ample experience in IoT, and systems programming. He graduated from the University of Oxford, and his research led to the proposal of an award-winning novel data serialization technology: JSON BinPack. He currently researches data interchange technologies at his own research lab: Sourcemeta, leads the Desktop Engineering team at Postman, collaborates in the JSON Schema organization and previously served as the Engineering Lead at Balena.