Artificial intelligence

Table of Contents Introduction AI has come a long way since its inception in ancient myths and the mid-20th century. It started with classical automata and evolved through symbolic AI, machine learning, neural networks, and deep learning. In this blog, we will demystify some of the most commonly heard but often misunderstood terms within the field of AI: Artificial Intelligence itself, Machine Learning, Deep Learning, and Neural Networks. We’ll not only explore how these technologies differ from one another, how they are interconnected, and why those distinctions matter but also enable us to appreciate the profound impact AI has on

Table of Contents Preface Artificial Intelligence (AI) is going to have a significant impact on marketing, with implications for businesses. Robots can now do marketing work, which raises the question of what lessons we can learn from them, and whether we should let them run our marketing campaigns. It’s fascinating to see how far we’ve come, and the possibilities that lie ahead Machines will likely be smarter than us before the end of the century—not just at chess or trivia questions but at just about everything, from mathematics and engineering to science and medicine Gary Marcus AI in a Nutshell

Marketing automation is an industry that is growing quickly which is why the majority of the companies are already using some form of marketing automation. Marketing automation can use artificial intelligence (AI) to better target customers. 30 % of companies worldwide will be using AI in at least one of their sales processes by 2020. (Venture Harbour) Chatbots will power 85% of customer service by 2020. (Innovation Enterprise) Global spending on cognitive and AI systems is predicted to reach $57.6 billion in 2021. (IDC) 44% of executives consider the data provided by the artificial intelligence to be its most important