Business Intelligence Analytics Data Science And Ai Global Edition


Business Intelligence Analytics Data Science And Ai Global Edition
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Business Intelligence Analytics Data Science And Ai Global Edition


Business Intelligence Analytics Data Science And Ai Global Edition
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2024-02-05

Business Intelligence Analytics Data Science And Ai Global Edition written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-05 with Business intelligence categories.




Business Intelligence Analytics Data Science And Ai


Business Intelligence Analytics Data Science And Ai
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Author : Ramesh Sharda
language : en
Publisher:
Release Date : 2023

Business Intelligence Analytics Data Science And Ai written by Ramesh Sharda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Business intelligence categories.


"Analytics, Data Science, and Artificial Intelligence (AI) have become the technology drivers of today. All major companies and organizations are creating new organizational units focused on analytics to help them become more effective and efficient in their operations. Decision makers are using more computerized tools to support their work, and even consumers are using analytics tools, either directly or indirectly, to make decisions on routine activities such as shopping, health/healthcare, travel, and entertainment"--



Systems For Analytics Data Science Artificial Intelligence Systems For Decision Support Global Edition


Systems For Analytics Data Science Artificial Intelligence Systems For Decision Support Global Edition
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Author : Ramesh Sharda
language : en
Publisher: Pearson Higher Ed
Release Date : 2020-03-10

Systems For Analytics Data Science Artificial Intelligence Systems For Decision Support Global Edition written by Ramesh Sharda and has been published by Pearson Higher Ed this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-10 with Business & Economics categories.


For courses in decision support systems, computerized decision-making tools, and management support systems. Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organizations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganization reflecting a new focus — analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.



Business Intelligence And Analytics


Business Intelligence And Analytics
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2019-01-04

Business Intelligence And Analytics written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-04 with Business & Economics categories.


"The purpose of this book is to introduce the reader to these technologies that are generally called analytics but have been known by other names. The core technology consists of DSS, BI, and various decision-making techniques. We use these terms interchangeably"--



Analytics Data Science And Artificial Intelligence


Analytics Data Science And Artificial Intelligence
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Author : Ramesh Sharda
language : en
Publisher:
Release Date : 2020-03-06

Analytics Data Science And Artificial Intelligence written by Ramesh Sharda and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-06 with Business intelligence categories.


For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.



Ai Powered Business Intelligence


Ai Powered Business Intelligence
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Author : Tobias Zwingmann
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-10

Ai Powered Business Intelligence written by Tobias Zwingmann and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-10 with Business & Economics categories.


Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you'll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you'll learn how to draw insights from unstructured data sources like text, document, and image files. Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You'll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists. Learn how AI can generate business impact in BI environments Use AutoML for automated classification and improved forecasting Implement recommendation services to support decision-making Draw insights from text data at scale with NLP services Extract information from documents and images with computer vision services Build interactive user frontends for AI-powered dashboard prototypes Implement an end-to-end case study for building an AI-powered customer analytics dashboard



Integration Challenges For Analytics Business Intelligence And Data Mining


Integration Challenges For Analytics Business Intelligence And Data Mining
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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2020-12-11

Integration Challenges For Analytics Business Intelligence And Data Mining written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-11 with Computers categories.


As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.



Business Intelligence


Business Intelligence
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2017-01-13

Business Intelligence written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-13 with Business & Economics categories.


For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Business Intelligence Analytics And Data Science


Business Intelligence Analytics And Data Science
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Author : Ramesh Sharda
language : en
Publisher: Pearson
Release Date : 2016-12-12

Business Intelligence Analytics And Data Science written by Ramesh Sharda and has been published by Pearson this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Business & Economics categories.


This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice.



Business Intelligence


Business Intelligence
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Author : Richard Hurley
language : en
Publisher:
Release Date : 2020-01-13

Business Intelligence written by Richard Hurley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-13 with categories.


If you want to learn about business intelligence and predictive analytics, then keep reading... Two manuscripts in one book: Business Intelligence: An Essential Beginner's Guide to BI, Big Data, Artificial Intelligence, Cybersecurity, Machine Learning, Data Science, Data Analytics, Social Media and Internet Marketing Predictive Analytics: The Secret to Predicting Future Events Using Big Data and Data Science Techniques Such as Data Mining, Predictive Modelling, Statistics, Data Analysis, and Machine Learning In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this book, you will be introduced to the concept of business intelligence. Business intelligence is closely connected to data, and so as part of our journey, we are going to see how modern companies are using big data, together with artificial intelligence, machine learning, and pattern recognition in order to build systems of data-driven decision making. After we get a handle on what business intelligence is, we will learn how it ties together with the next computer revolution (happening right before our eyes). We will discuss the use of artificial intelligence, machine learning, and pattern recognition to retrieve insights from the large amounts of data that companies are routinely collecting, storing, and using. We will also explore the roles that social media and internet marketing are playing in the growth of business intelligence, and how companies like Facebook are helping other companies act on data in powerful ways. Some of the topics covered in part 1 of this book include: An Introduction to BI, Big Data, AI, and More An Overview of Business Intelligence BI and AI BI and Big Data BI And Machine Learning Data Science Cybersecurity BI and Data Mining BI and Social Media BI and Internet Marketing And much much more! Some of the topics covered in part 2 of this book include: The basics of predictive analysis. How to predict events that are going to happen in the future with big data and data mining. How to predict events that are going to happen in the future with the help of data analysis and statistics. A look at machine learning and how this process can help make predictions. How to avoid prediction traps, avoid bias, and make the best decisions with this analysis. Some of the top reasons to implement this kind of analysis in your business. The steps you can take to create your own predictive analysis model. And much, much more! So if you want to learn more about business intelligence and predictive analytics, click the "add to cart" button!