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The artificial intelligence (AI) capabilities in Power BI enable organizations to quickly and easily gain more intelligent insights from unstructured and structured data.This book will teach you how to make use of the many AI features available today in Power BI to quickly and easily enrich your data and gain better insights into patterns that can be found in your data.You’ll begin by understanding the benefits of AI and how it can be used in Power BI. Next, you’ll focus on exploring and preparing your data for building AI projects and then progress to using prominent AI features already available in Power BI, such as forecasting, anomaly detection, and Q&A. Later chapters will show you how to apply text analytics and computer vision within Power BI reports. This will help you create your own Q&A functionality in Power BI, which allows you to ask FAQs from another knowledge base and then integrate it with PowerApps. Toward the concluding chapters, you’ll be able to create and deploy AutoML models trained in Azure ML and consume them in Power Query Editor. After your models have been trained, you’ll work through principles such as privacy, fairness, and transparency to use AI responsibly.By the end of this book, you’ll have learned when and how to enrich your data with AI using the out-of-the-box AI capabilities in Power BI.
Power BI i sztuczna inteligencja. Jak w pełni wykorzystać funkcje AI dostępne w Power BI
Microsoft Power BI zdobył uznanie jako znakomite narzędzie do analizy i przetwarzania złożonych zbiorów danych, ale to nie koniec jego możliwości. Power BI nadaje się do wydobywania z modeli sztucznej inteligencji informacji, które mogą się stać wartościowym materiałem wspomagającym podejmowanie najlepszych decyzji biznesowych. Aby jednak w pełni skorzystać z funkcji dostępnych w Power BI, trzeba posiąść podstawową wiedzę o sztucznej inteligencji. Książka stanowi wprowadzenie do pracy z funkcjami SI dostępnymi w Power BI; jest skierowana do osób znających to środowisko. Dowiesz się z niej, w jaki sposób sztuczna inteligencja może być używana w Power BI i jakie funkcje są w nim domyślnie dostępne. Nauczysz się też eksplorować i przygotowywać dane do projektów SI. Pokazano tu, jak umieszczać dane z analizy tekstu i widzenia komputerowego w raportach Power BI, co ułatwia korzystanie z zewnętrznej bazy wiedzy. Omówiono również procesy tworzenia i wdrażania modeli AutoML wytrenowanych na platformie Azure ML, a także umieszczania ich w edytorze Power Query. Nie zabrakło kwestii związanych z prywatnością, bezstronnością i odpowiedzialnością w korzystaniu z SI. W książce między innymi: unikanie tendencyjności w przetwarzaniu danych szeregi czasowe i prognozowanie w Power BI wykrywanie anomalii analiza tekstu w Power Query trenowanie własnych modeli integracja Azure ML z Power BI i generowanie przewidywań Przekonaj się, jaki potencjał tkwi w analizie zbiorów danych!