Artificial intelligence integration with cloud platforms: A focus on Azure, AWS, and GCP AI ecosystems

Artificial Intelligence (AI) has emerged as one of the most transformative forces in business in this century. As companies combine datasets, AI infrastructure, and powerful AI algorithms to produce smarter and more generalized AI models, business leaders in every industry must be prepared to fundamentally reorganize their operations around models and products created with the help of this new technology. Generic AI assistants will affect the way knowledge workers do research, draft documents, analyze information, and create visual aids.

While most of the AI hype today is around these large-based AI services, in the corporate world it is the added-value, specialized AI integration that will change the nature of products and services, and how they are created and delivered [1-2]. Today’s large model development is being built around next-generation cores that create domain-specific models. In effect, the domain-specific models act like adapters, playing the same role that certain data formats do with web objects, or photos do with certain applications, and called on by corporations to customize AI services to their business-specific data and processes. Product and service firms will harness these domain-specific models to leverage their own data to create customized models.