Edge computing has attracted a lot of interest and new use cases, especially with the rising adoption of 5G. According to the report by the Linux Foundation titled The 2021 State of the Edge report, the global market cap of edge computing infrastructure is expected to be worth more than $800 billion by 2028. Companies are also investing heavily in artificial intelligence, with a McKinsey survey of 2021 showing that 50% of the respondents have already implemented AI in at least one business function. Here are the developments in edge AI and how it will impact modern enterprises.

New technologies like artificial intelligence (AI), machine learning (ML) and the Internet of Things (IoT) are changing different industries for the better. AI, for example, is altering the creative landscape, and industries like music, fine arts, science and architecture are getting the best out of it. Computational creativity, a study of building software with behaviour deemed creative, has become one of the fast-growing areas of technology over the past two decades. This software can be used for creative tasks like writing poems, composing music or painting pictures. 

As data science keeps becoming a go-to profession for many, you might be among those who want to become part of the new professions like Machine Learning Engineer. If so, you are joining a list of many people who want to know more about technologies like Artificial Intelligence, Machine Learning, the Internet of Things and how Data Science can help an organization. Although many people talk about these professions and buzzwords, most of them do not know what it takes to succeed in the field of data science. As an aspiring enthusiast who wants to get the best out of the new professions, know these things to succeed as a machine learning expert.