The Cloud Computing market is expected to reach $760 Billion by 2027, almost four times its value of $200 Billion in 2020. The biggest rise in revenue is attributed to public cloud services, where SaaS (Software as a Service) makes up 50% of the market, followed by IaaS (Infrastructure as a Service) with 32% and PaaS(Platform as a Service) with 18%. The largest players within these segments are AWS, followed by Microsoft’s Azure and Google Cloud Platform, however their respective YOY growths are less than half of AliBaba, which has seen a 92% growth in their cloud computing segment. There is an increased preference for omni cloud computing over multi-cloud systems due to its improved security, real-time updates, utmost scalability and ease of use.

Blockchain, launched officially just over a decade ago, is a new technology that aims to record transactions efficiently and permanently. In our rapidly changing digital world, records and transactions have lagged in both management and protection. Blockchain could allow our contracts to be embedded in code and stored transparently, and secure against deletion and revision. Widespread usage would mean that every exchange would be digitally stored and easily accessible, and the transactional work of lawyers, bankers, brokers, and more would be rendered unnecessary. This technology could revolutionize business models and redefine the flow of our economy.

The accessibility to key techniques in AI and ML have dramatically increased in recent years, leading it to become a field of interest for developers ranging from young students to top professionals and academics. Deep learning frameworks such as Keras and TensorFlow as well as cloud computing and related services (Azure, Google Cloud, AWS, etc.) have allowed developers to create neural networks and general statistical formulations for large-scale data analysis with little barrier to entry. The consequent explosion in the implementation of these models, especially as they have relatively little overhead, has paved the way for AI/ML to enter as an application to virtually every scientific field.

As technology increasingly serves to streamline and simplify consumers’ everyday lives, urban mobility has evolved to seamlessly integrate technological innovation with the urban mobility scene. Uber and Lyft have streamlined ride-sharing and ride-hailing services, and microbility startups have introduced services such as dockless bike- and scooter-sharing, all leveraging the ubiquity of mobile applications and the ease of online payment. Companies such as Tesla have popularized and experimented with electric vehicles and self-driving cars, inspiring the technology sector to reimagine the role of sustainability and rider experience through busy city streets.