RPA uses AI and machine learning to super-charge industrial-scale digital transformations
The term digital transformation-defined as technology that fundamentally changes how companies deliver value to customers-has become a household term recently and for a good reason. A wave of new technologies and services such as artificial intelligence, machine learning, augmented and virtual reality, blockchain, cloud, software-as-a-service, edge computing, Internet of Things, among others, are upending business processes and customer relations. And the fifth generation of mobile communications, or 5G, is just around the corner, which is expected to supercharge them all.
Microservices architecture (MSA) can be defined as a system of fine-grained, independent and collaborating services that run in their own process spaces and communicate with lightweight mechanisms such as HTTP. The services are kept small and evolve over time with an increased set of features. The advent of cloud computing, DevOps and microservices (MS) has led to faster creation, delivery and refinement of new services and applications.
Digital Transformation has become a trending topic for organizations across the globe to enhance their operational processes, customer experience, and business models using technologies such as social, mobile, analytics, cloud, and cognitive computing. Digital Maturity is key to outperforming competitors in this technological era.
How are today's advanced technologies and the digital transformation shaping both the present and future of the utility industry? Aricent’s Stuart Borlase is the Editor-in-Chief and co-author of the second edition of a book that highlights the latest technologies, business drivers, benefits and market outlook of the smart grid initiative.