Automation and Artificial Intelligence for Small Businesses

by Satish Sharma
Lead Management Consultant, SKS Consulting & Advisors, India.

10.46679/978819573223401

Sharma, Satish (2023). Automation and Artificial Intelligence for Small Businesses. In AI for Small Business: Leveraging Automation to Stay Ahead (pp 1-13). CSMFL Publications. https://dx.doi.org/10.46679/978819573223401

Abstract

Advancements in artificial intelligence (AI) and automation have created a new era in business management and operations. The potential for these innovative technologies is vast, and they are changing the way small businesses operate. Small businesses looking to streamline operations, reduce costs, and increase efficiency are considering the role of AI in automating various business processes. This book explores the benefits and challenges of using artificial intelligence to automate small business operations and explores the various AI-driven tools and technologies available to small business owners.

When it comes to implementing AI and automation solutions, small businesses face a unique set of challenges. These challenges include cost and technical expertise, as well as data privacy and security concerns. However, there are significant potential rewards for small businesses that successfully implement AI-driven automation. Process automation can reduce the time and effort required to perform routine tasks, allowing small business owners to focus on higher-level strategic planning and decision making. AI can also lead to increased efficiency, accuracy, and productivity. This can lead to cost savings, better customer satisfaction, and increased profitability.

Keywords: AI in Business, Business Automation, Small Business & AI, Automation in SME

This is a part of: AI for Small Business: Leveraging Automation to Stay Ahead by Satish Sharma

© CSMFL Publications & its authors.

References

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  5. Sharma, P. (2020). Artificial Intelligence, Machine Learning and Data Science as Iterations of Business Automation for Small Businesses. Management of Data in AI Age, 87–94. https://doi.org/10.46679/isbn978819484834904

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