This book aims to help software engineers and developers capture their ideal job offer and manage their medium-to-long-term career growth in the global artificial intelligence arena. We will focus on artificial intelligence software engineers and developers in this series.

Artificial intelligence has proven to be a revolutionary part of the digital era. As a result, top tech giants like Amazon, Google, Apple, Facebook, Microsoft, and International Business Machines Corporation have been investing significantly in the research and development of artificial intelligence. As a result, these companies are contributing well to making A.I. more accessible for businesses. In addition, different companies have adopted A.I. technology for improved customer experience. For example, in March 2020, McDonald's invested $300 million to acquire an A.I. startup in Tel Aviv to provide a personalized experience for its customers using artificial intelligence. This was its most significant tech investment.

Significant investments in A.I. have been made in machine learning and deep learning. These encompass A.I. platforms and cognitive apps, making it easier to create advisory, intelligent, and cognitively empowered solutions. These cognitive applications include tagging, grouping, classification, hypothesis-generating, alerting, filtering, navigation, and visualization. The development of the analytics platform has been made possible by the expanding deployment of cloud-based computing platforms and on-premises hardware equipment for the safe and secure restoration of massive volumes of data. Leading companies' increased R&D expenditures will be essential in boosting the use of artificial intelligence technology. The NLP category is anticipated to pick up steam throughout the forecast period. NLP is increasingly utilized in numerous industries to understand customer preferences, changing trends, and purchase behavior.

The deep learning category dominated the market and accounted for over 36.4 percent of global revenue in 2022 due to its rising importance and complex data-driven applications, such as text, content, or speech recognition. While deep learning aids in overcoming the difficulties associated with large amounts of data, it presents profitable investment prospects. For example, Zebra Medical Vision and TELUS Ventures worked together in July 2020 to improve the former's deep learning solutions' accessibility in North America, broadening A.I. solutions to clinical care settings and new modalities.