AI for Small Business Analytics
AI for Small Business Analytics

AI for Small Business Analytics


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About the Book

In today's business landscape, data has become an essential asset for companies of all sizes. Small businesses are no exception - they need to be able to analyze and interpret data effectively in order to make informed decisions and gain a competitive edge. However, many small businesses struggle with data analysis due to limited resources, expertise, and time.

This is where AI comes in. AI techniques and strategies can help small businesses improve their data analysis capabilities and make more accurate predictions about future trends and customer behavior. By leveraging AI tools, small businesses can enhance their decision-making processes and optimize their operations for better performance.

But implementing AI for small business analytics is not without its challenges. Small businesses must carefully choose the right AI tools and technologies that are well-suited for their specific needs and consider ethical and legal implications. They must also ensure that they have the necessary infrastructure and talent in place to support AI implementation.

In this book, we will provide an overview of AI applications for small business analytics and offer practical advice and guidance on how to implement AI tools and technologies effectively. We will cover topics such as predictive analytics, natural language processing, chatbots, fraud detection, and more. Additionally, we will explore ethical and governance considerations for AI implementation in small business analytics.

Whether you're a small business owner looking to improve your data analysis capabilities or a professional looking to expand your knowledge of AI in small business analytics, this book is for you. Let's dive into the world of AI and discover how it can help small businesses thrive in today's data-driven economy.

MingHai Zheng is the founder of zhengpublishing and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.


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Product Details
  • ISBN-13: 9798223279723
  • Publisher: Draft2digital
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Sub Title: Techniques and Strategies for More Accurate Data Analysis
  • Width: 140 mm
  • ISBN-10: 822327972X
  • Publisher Date: 22 Aug 2023
  • Height: 216 mm
  • No of Pages: 116
  • Spine Width: 6 mm
  • Weight: 145 gr


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