Market Analysis of Enterprise AI Products from Leading Service Providers

What this Market Analysis Report covers

This is HFS Research’s first-ever report on enterprise AI products from leading service providers. The report includes detailed profiles of 17 service providers, outlining their strengths, development opportunities, and provider facts related to their AI products.

What you’ll know after reading

The report examines the role that service providers play in the evolving AI landscape, from an applied technology perspective. We analyzed the enterprise AI products capabilities of 17 service providers in this report.

KEY MARKET DYNAMICS

• Data management is a critical part of enterprise AI products. The first step to getting benefit from an AI product is fundamental data hygiene—making sure that data collection and preparation include sparse and noisy data handling, data integration, and data approximation.

• Domain understanding is fundamental to the success of AI products. We have observed that most enterprise AI products are built for specific use cases and industries. So, understanding business processes (domain lexicons, ontologies) is important for the effective and efficient use of the right technologies.

• Applications of deep learning in unstructured knowledge processing, such as image data extractions and classifications, and natural language processing (NLP), natural language understanding (NLU), and natural language generation (NLG) technologies are increasing.

• AI governance remains a critical piece of the puzzle. As the future of AI products is related to automated decision making, the roles of explainable AI, ethical AI, and AI biases are very important.

Who should read this report

Executive leaders and business unit leaders, technology leaders, advisors, and AI / Digitalization project leads in all industry sectors.

Service Providers covered;

Accenture, Capgemini, Cognizant, Digitate (a TCS subsidiary), EdgeVerve (an Infosys subsidiary), EY, Genpact, Harman, HCL, IBM, ITC Infotech, KPMG, LTI, Mphasis, NIIT Technologies, Tech Mahindra, and Wipro.