Avasant’s Intelligent Automation Services RadarView™ Recognizes the Top 24 Innovative Service Providers
Avasant has unveiled it's Intelligent Automation Services RadarView™ 2019-2020, it's pioneering market assessment report that recognizes the top 24 service providers for Intelligent Automation Services. These providers have shown cognitive capabilities and consistent growth in their Intelligent Automation service offerings and have been assessed across three key dimensions – practice maturity, investments & innovation, and industry development. The report categorizes Intelligent Automation Services RadarView as follows:
- Leaders: Accenture, Capgemini, HCL, IBM, Infosys, TCS, Wipro
- Innovators: Cognizant, DXC, Genpact, Mindtree, NTT Data, Tech Mahindra
- Disruptors: Atos|Syntel, CSS Corp, EXL, Hexaware, ITC Infotech, LTI, Zensar
- Challengers: Mphasis, NIIT Technologies, Sutherland, UST Global
- RPA development has matured over the year owing to wider availability of plug-and-play bots, connectors and plug-ins, use cases, process maps, case studies, and solution accelerators. Further, the availability of automation tools in the product development cycle has reduced the RPA implementation cycle time by 40-50%.
- As automation becomes pervasive, its drivers are shifting from pure cost-reduction to more strategic objectives – driving straight-through processing, enabling digital business models and richer customer engagement.
- With the increased leverage of AI-based technologies in automation, adoption of IA is gaining traction at over 60% YoY growth in industry-specific processes with Banking, Insurance, Healthcare, Manufacturing, and Retail being on the forefront.
- As IA adoption in business-critical and judgment-intensive processes is increasing at over 40%, the enterprises should also consider leveraging more cognitive, ML and AI-enabled digital platforms in conjunction with automation to expand the impact to core and customer-facing functions.
- However, automating more complex and decision-based processes requires a robust enterprise data management strategy encompassing data curation, integration, governance, security, and channeling of unstructured data.
- Enterprises should consider establishing a federated CoE model to not only achieve a faster implementation and better program governance but also mitigate talent and scaling challenges. External partners can help address the talent gap and provide flexible resources and deep expertise.
- Enterprise collaboration with service providers has increased in all phases of their IA journeys such as process discovery and integration, to realize higher the value and first-time-right implementations.