From its inception in the year, 1992 Mphasis has been a strong competitor in providing cloud and cognitive services. Mphasis an Information Technology solutions now have over 28000 employees.
Mphasis has mastered the art of Human-AI interfaces as their various priority initiatives span from providing Voice-based digital assistant for employee support. SASE Secured access, AI-driven BI for efficient operations; to Continuous Cloud Journey (Cloud Native, SaaS migration, etc.) and Low Code, aiming to reduce application development.
Immense use of AI, Machine learning, deep learning have made Mphasis one of the biggest enablers of the IT firm’s Front2Back Transformation framework. As a company that prioritizes employee experience, Mphasis aims to reduce human dependencies and use AI/ML for a quick decision-making process.
With the onset of the pandemic, Mphasis is witnessing an influx in Cloud-based computing models, which allows for Cloud Adoption in all possible flavours: SaaS / PaaS / IaaS for enterprises across industries. CIO of Mphasis stated that there exists a powerful urgency for Cloud Adoption, and the shift can happen anytime.
The HRMS uses Oracle Cloud with SaaS and PaaS combination and the ERP and Database on Oracle Cloud via a PaaS and IaaS combination. Different technologies, contractual customer requirements, statutory and compliance needs act as drivers for the hybrid approach—Mphasis been an early promoter of data democratization. Company CIO Debashis Singh revealed that data is a critical driver for analytics in a world of hyper-personalization. He is also a firm believer that enterprises born on the cloud will further push cloud adoption.
Legacy modernization buffeted by improved security and agile architecture of Oracle Cloud has helped Mphasis acquire high availability of Database and easy integration across other enterprise tools and system, stated Singh.
With Mphasis setting example as a company that effectively uses AI and Machine Learning, we can expect other IT companies to follow suit soon.
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