NEXT-GEN APPLICATION DEVELOPMENT AND MAINTENANCE
Where Speed, Hyper-personalization and Automated Efficiency Converge
Outperforming companies are continuously looking to introduce new business and models at speed and scale to conquer new markets. In leveraging new technology as a competitive advantage, their prime goal is to encompass the following
• Roll out Hyper-personalized products with significantly shortened development cycles
• Introduce new business / business models
• Leverage new technology as competitive advantage
How can organizations achieve the right balance of speed, innovation, hyper-personalization and stability?
Mphasis Next-Gen App Development moves enterprises from a 'big-ball-of-mud' enterprise to a product enterprise – and ultimately to a platform enterprise. Through unparalleled user-centric design and experience, we create an 'innovation-by-default' culture through AI-driven experience platforms, IPs and accelerators with a breakneck speed of development.
The components of such an architecture include:
• Platform Control - 'Sense and response' patterns for autonomous operations and 360-degree visibility in an integrated platform
• Platform Store - A next-gen marketplace for smart work apps and services
• Platform Core - A solution to develops cloud native capabilities for polyglot environments
• Platform Dev - For a superlative development experience through opiniated templates, auto-provisioning, service catalogs and advanced telemetry
Through an integration of experience design and rendering, we design empathy and creativity, platform sophistication and AI maturity to drive relevance and speed of innovation
We provide a workbench to help realize a full stack DevSecOps culture. Result? Continuously evolving to adapt to changing market conditions with agility and cost-effectiveness
Through tribes and squads, we adopt a TalentNext framework to
• Develop a talent Pool with learnability quotient
• Adapt to changing technology demands
• Provide a growth path for team members
• Incentivize learning as well as application of the learning