LTIMindtree Canvas Insights
How important are insights for software development? This video answers that and also introduces you to LTIMindtree Canvas Insights.
Key Features
Ready to use actionable insights
On-demand insights pallete
360º view for SDLC entities
Knowledge Fabric Containers
NLG led Deep insights
APIs to onboard new insights
Exploration of Clusters and Correlations
SDLC Connector hub
Modernizes and Enhances Journeys across Personas
Product Owner
- ML, NLP-driven change impact analysis
- Analysis of new features for release
- Assessment of complex requirements
Scrum Master
- Quick Rough-Order-of-Magnitude (ROM) effort estimations
- Rapid sprint planning based on velocity, capability and cross dependencies of user stories
- Visibility into the code increments for productivity vis-à-vis quality insights
Architect
- Impact on technical debt due to the code changes
- Architectural hotspots vs architectural components vs. code components
- Application resilience insights
Quality Engineer
- Eliminate regression bloat
- Optimize defect resolution lifecycle
- Insights into test coverage at code component level
- Insights for defect prediction
Developer
- Code reusability insights
- Risk identification through code analytics on critical components & dependencies
- ML, NLP-driven smarter defect resolution
Expert Speak
AI-powered, Insights-driven Software Engineering
An interesting conversation around LTIMindtree Canvas Insights with Adish Apte & Devanathan Desikan