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Deep Dive Into the Power Platform in the Age of Generative AI Architectural Insights and Best Practices for Intelligent Business Solutions - Biswa Pujarini Mohapatra, Gaurav Aroraa, Yash Agarwal 2024 PDF Apress BOOKS
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Deep Dive Into the Power Platform in the Age of Generative AI Architectural Insights and Best Practices for Intelligent Business Solutions
Author: Biswa Pujarini Mohapatra, Gaurav Aroraa, Yash Agarwal
Year: 2024
Pages: 662
Format: PDF
File size: 10.1 MB
Language: ENG



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Long Description of the Book "Deep Dive into the Power Platform in the Age of Generative AI Architectural Insights and Best Practices for Intelligent Business Solutions" In today's rapidly evolving technological landscape, it is crucial for businesses to stay ahead of the curve by embracing innovative solutions that can transform their operations and drive growth. One such solution is the power platform, which has revolutionized the way organizations approach data management, analytics, and decision-making. As we enter an age of generative AI, it is more important than ever to understand the process of technology evolution and its impact on our society. This book provides a comprehensive guide to the power platform, exploring its potential for intelligent business solutions and offering practical insights for harnessing its full potential. The Power Platform Revolution The power platform represents a significant shift in the way organizations approach data management and analysis. It enables businesses to collect, store, and analyze vast amounts of data from various sources, providing valuable insights that can inform strategic decisions. The platform's ability to integrate with other systems and tools makes it an essential tool for businesses looking to streamline their operations and improve efficiency. With the rise of generative AI, the power platform's capabilities are expanding, enabling even more sophisticated data analysis and decision-making. Understanding the Technology Evolution Process To fully leverage the power platform's potential, it is essential to understand the technology evolution process. This involves studying the history of technological advancements, identifying patterns, and anticipating future developments.
Long Description of the Book «Deep Dive into the Power Platform in the Age of Generative AI Architectural Insights and Best Practices for Intelligent Business Solutions» («Глубокое погружение в энергетическую платформу в эпоху генеративного искусственного интеллекта и передовой опыт интеллектуальных бизнес-решений») В современном быстро развивающемся технологическом ландшафте крайне важно, чтобы компании не отставали вперед, внедряя инновационные решения, способные трансформировать свою деятельность и стимулировать рост. Одним из таких решений является энергетическая платформа, которая произвела революцию в подходе организаций к управлению данными, аналитике и принятию решений. Когда мы вступаем в эпоху генеративного ИИ, как никогда важно понять процесс эволюции технологий и его влияние на наше общество. В этой книге представлено исчерпывающее руководство по платформе Power, изучающее ее потенциал для интеллектуальных бизнес-решений и предлагающее практическую информацию для полного использования ее потенциала. Революция Power Platform Power Platform представляет собой значительный сдвиг в подходе организаций к управлению и анализу данных. Она позволяет компаниям собирать, хранить и анализировать огромные объемы данных из различных источников, предоставляя ценную информацию, которая может помочь в принятии стратегических решений. Возможность интеграции платформы с другими системами и инструментами делает ее важным инструментом для предприятий, которые хотят оптимизировать свою деятельность и повысить эффективность. С ростом генерирующего ИИ возможности энергетической платформы расширяются, что позволяет проводить еще более сложный анализ данных и принимать решения. Понимание процесса развития технологии Чтобы полностью использовать потенциал энергетической платформы, важно понимать процесс развития технологии. Это включает в себя изучение истории технологических достижений, выявление закономерностей и предвидение будущих событий.
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