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  Understand the importance of building an AI-ready culture Introduction Artificial Intelligence helps organizations transform digitally by creating new experiences  infused with capabilities to make them smart, fast, and helpful. To harness this potential,  organizations must be ready to create, own and operate AI-based systems. A successful AI  strategy must consider cultural issues as well as business ones. Becoming an AI-ready organization  requires a fundamental transformation in how you do things, how employees relate to each other,  what skills they have, and what processes and principles guide your behaviors. Discover the characteristics that foster an AI-Ready culture A successful AI strategy must consider cultural issues as well as business issues.  Becoming an AI-ready organization requires a fundamental transformation in how you do things,  how employees relate to each other, what skills they have, and what processes and principles guide your behaviors. AI-ready culture req
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  Get started with AI Builder AI Builder:- AI Builder is a Microsoft Power Platform capability that helps you improve your business performance by automating processes and predicting outcomes. . By using AI Builder, you can quickly bring AI to your apps and flows that connect to your business data that is stored in the underlying data platform or in various cloud data sources, such as SharePoint, OneDrive, or Azure. What you can do with AI Builder Analyze text for classification, key phrases, language, and sentiment. Predict whether something will happen. Process business card information. Process text from images. Read and save information from standard documents. Recognize and count items in images. Where you can use AI Builder You can access AI Builder within   Power Apps   and Power Automate. Two available areas under AI Builder Build -  Where you create and get started by using AI models. Models -  Where your created and shared models reside. Choose an AI capability AI capabilitie
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  How to build a simple dashboard Introduction We need data to help us make these decisions. Power BI Desktop is a free application for PC that lets you gather, transform, and visualize your data. Power BI Desktop and the Power BI Service work together. You can create your reports in Power BI Desktop and then publish them to the Power BI Service for others to consume. In this module, you will: • Learn to connect to data in Power BI desktop • Transform and model the data you import • Build basic visualizations • Create and share a dashboard • Discover how to collaborate in Power BI Connect to data Power BI Desktop connects to many types of data sources, including local databases, worksheets,  and data on cloud services. Sometimes when you gather data, it's not quite as structured, or clean,  as you want it to be. To structure data, you can transform it, meaning that you can split and rename  columns, change data types, and create relationships between columns. You have to follow the
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Analyze data with Power BI     Introduction                          Microsoft Power BI is a collection of apps, software services, and connectors that come together to turn unrelated data into visually impressive and interactive insights. Power BI can work with simple data sources like Microsoft Excel and complicated ones like cloud-based or on-premises hybrid Data warehouses. Power BI has the capabilities to easily connect to your data sources, visualize and share and publish your findings with anyone and everyone.  Data Analysis in Power BI for Beginners.         Power BI is a business analytics tool that Microsoft owns. It is one of the leading business intelligence tools trusted by most IT companies in the market to improve their business growth. It provides advanced analytic tools, reports, and visualizations. Power BI is much versatile and platform-independent tool that users can embed on the cloud, mobile, and web apps. What is Data Analysis? Data analysis is a process of inspe
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Publish and share in Power BI Introduction          Microsoft Power BI is a collection of apps, software services, and connectors that come together to turn unrelated data into visually impressive and interactive insights. Power BI can work with simple data sources like Microsoft Excel and complicated ones like cloud-based or on-premises hybrid Data warehouses. Power BI has the capabilities to easily connect to your data sources, visualize and share and publish your findings with anyone and everyone.  If you want to share your report and dashboards with your coworkers at some points. Then you need to publish and share that report, dashboard. Share and collaborate with colleagues in Power BI:- Publish your reports from Power BI Desktop to the Power BI service. Create Apps that package a dashboard, report, and dataset to send to your colleagues, who can use the content pack as a starting point and further enhance it. Create Groups, which you can use as a security model to identify a subs
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Use visuals in Power BI   Introduction                          Microsoft Power BI is a collection of apps, software services, and connectors that come together to turn unrelated data into visually impressive and interactive insights. Power BI can work with simple data sources like Microsoft Excel and complicated ones like cloud-based or on-premises hybrid Data warehouses. Power BI has the capabilities to easily connect to your data sources, visualize and share and publish your findings with anyone and everyone.         As Power BI is a Microso ft product and has built-in connections to Excel, there are many functions that will be familiar to an Excel user.         Power BI is one of the leading data visualization tools on the market. This current article is part of the Power BI like a Pro series written by TrueCue’s most experienced Power BI developers. Create and customize simple visualizations Two ways to create a new visualization in Power BI Desktop are: Drag field names from the
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Model data in Power BI Introduction    Data model is a collection of loaded tables of data with one or more columns that have been loaded for a reason (don’t load any columns from your source into your model unless you have a reason). with one or more rows of data that have been loaded for a reason (don’t load rows from your source into your model unless you have a reason). relationships between the loaded tables the measures (formulas) written that apply the business rules to the raw data to extract business insights (e.g., sell price minus cost price is profit), including the formulas themselves the formatting applied to the formulas the business names were given to the formulas All of the above makeup what is referred to as “the data model” in Power BI The benefits of a data model based tool like Power BI are: the author of “the data model”  builds a reusable capability (the data model) that can be used to solve the current reporting requirements as well as (often) future requiremen
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