Artificial Intelligence Business Applications: How to Learn Applied Artificial Intelligence and Use Data Science for Business. Includes Data Analytics, Machine Learning for Business and Python

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About Artificial Intelligence Business Applications: How

Do you want to learn the progress made in the web marketing space and how you can exploit it for your marketing strategies? Do you want to gain an edge over your business's competitors? If you want to know how artificial intelligence technology can give your business a major performance boost, then keep reading. The fourth industrial revolution is upon us, led by the artificial intelligence technology and setting the humankind for a global social transformation. The powerful applications of AI have already transformed our daily lives. Tools such as virtual personal and home assistants (like Siri in Apple Pods and Alexa in Amazon Echo) have become everyday usage products. Moreover, our digital lives have inundated organizations with astronomical volumes of data with hidden treasures of valuable insights. This information can be uncovered with the use of big data analytics and applied in combination with the artificial intelligence technology to increase your business performance efficiency. Learning to incorporate the artificial intelligence applications, machine learning, and big data analytics in line with your company's domain can only give your business positive results. Our aim with this audiobook is to provide you a 360 view of the fundamentals and importance of artificial intelligence technology. You will learn: The fundamentals of artificial intelligence and machine learning applications, and why are they so important in the world today. Gain an in-depth understanding of 12 of the most popular artificial intelligence tools in the market, in an easy to understand and colloquial language. The science of big data and how companies are increasingly employing good analytical tools to makes sense of an estimated 1.7 MB of data that will be generated per second per person by 2020. What different types of machine learning algorithms are and how they work to make machines able to learn and