Riding the Wave of AI: An In-Depth Look at Platforms Transforming Businesses

This report, a refresh of our 2020 report titled “AI Platforms – Next Frontier for Indian IT Services”, explores the evolution of AI platforms, over the past 2-3 years, down to the more recent emergence of AI-as-a-Service (AIaaS) and ML engineering platforms. The emergence of deep learning frameworks such as TensorFlow and PyTorch in the early 2010s marked a turning point, enabling businesses to build more sophisticated and scalable AI models. The rise of cloud computing and big data also paved the way for new types of AI platforms, including AIaaS, which enables businesses to access AI capabilities on a pay-per-use basis.

As applications and use-cases mature and find usability across a diverse range of industries, particularly in the areas of Natural Language and Vision, the impetus is seen to be shifting from a tech-centric view to an outcome-centric view.

Platformizing AI solutions is a powerful new trend that can help customers glean insights from data, generate real-time intelligence from their operations and processes, automate mission-critical applications and systems, and address issues of privacy and security. AI platforms bundle together best-of-breed components, data, advanced analytics and automation to drive efficiency and competitive differentiation.