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Advance your Power BI skills by adding AI to your repertoire at a practice level. With this practical book, business-oriented software engineers and developers will learn the terminologies, practices, and strategy necessary to successfully incorporate AI into your business intelligence estate. Jen Stirrup, CEO of AI and BI leadership consultancy Data Relish, and Thomas Weinandy, research economist at Upside, show you how to use data already available to your organization. Springboarding from the skills that you already possess, this book adds AI to your organization's technical capability and expertise with Microsoft Power BI. By using your conceptual knowledge of BI, you'll learn how to choose the right model for your AI work and identify its value and validity. Use Power BI to build a good data model for AI Demystify the AI terminology that you need to know Identify AI project roles, responsibilities, and teams for AI Use AI models, including supervised machine learning techniques Develop and train models in Azure ML for consumption in Power BI Improve your business AI maturity level with Power BI Use the AI feedback loop to help you get started with the next project
Bringing contributions by a variety of authors together in one volume is part of an attempt to show that hydropolitics is a growing discipline in its own right. The prevailing definition of hydropolitics is widened to include the elements of scale and range. This is illustrated through a focus on theoretical and legal issues, case studies from Southern Africa and a proposed research agenda. The book is an important addition to the literature on hydropolitics.
This thirteenth edition of the United Nations E-Government Survey, released in 2024, provides a comprehensive assessment of the digital government landscape across all 193 Member States. The 2024 Survey highlights a significant upward trend in the development of digital government worldwide, with increased investment in resilient infrastructure and cutting-edge technologies. The global average value of the E-Government Development Index (EGDI) shows substantial improvement, with the proportion of the population lagging in digital government development decreasing from 45.0 per cent in 2022 to 22.4 per cent in 2024. Despite significant progress in digital government development, the EGDI aver...
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