About Canvas 2.0
Insights Fueled Software Delivery Acceleration
Canvas 2.0 focuses on building a knowledge fabric, correlating end-to-end SDLC assets, and delivering AI-nudged actionable insights to accelerate and harden the software delivery lifecycle. The insights empower the software delivery personas to be
Smarter
'First-time-right' decision making
Faster
'10X' throughput speed
Resilient
'Failure-tolerant' application
Any large IT program generates volumes of varied data at high velocity. The current market tools leverage this data for reporting and dashboarding to govern the end-to-end value stream. However, these data assets have become the staple diet for highly developed AI algorithms to derive insights that are currently not being leveraged to their potential. Canvas addresses this latent need to leverage AI for insights-led decision-making and stop productivity leakage.
This one-of-a-kind platform focuses exclusively on insights-led use cases for software delivery acceleration. It integrates with SDLC platforms to collate data assets such as user stories, test cases, defects, incidents, source code files, application logs, and infrastructure telemetry. It builds end-to-end correlated knowledge graphs and clusters by applying AI techniques, particularly machine learning (ML) and natural language processing (NLP), and other deterministic instrumentation. The end-to-end correlations and clustering of data entities allow for deriving insights that empower software personas to improve software delivery productivity.
What does Canvas deliver?
Smarter
15-20% Reduction in defect injection rate
>60% Reduction in defect/incident resolution time
10% - 20% Reduction in P1/P2 ticket
faster
10x Faster change impact & dependency analysis
30-40% Optimized regression cycle
35%-50% Reduction in MTTR on SR/Incident
RESILIENT
>80% Accuracy in defect & hotspot (risk) prediction
20-30% Improvement in application availability
20% - 30% Noise suppression
Use Cases
- Analyze the risk of introducing a change
- Identify impacted SDLC entities using the correlated knowledge fabric
- Analyze functional dependencies and SDLC hotspots
- Analyze code hotspots and dependencies
- Gain insights on factors impacting developer velocity with Developer 360
- Get code commit statistics and branch merge insights
- Identify defect-prone areas
- Close defects faster with an intelligent advisory
- Reduce in defect handovers with strong governance on defect reassignments
- Conduct impact-based regression testing based on code changes
- Prioritize tests with insights on test hotspots
- Identify the opportunity for automation
- Get assisted resilience engineering with templatized chaos engineering and orchestration
- Set up infrastructure and business process observability
- Obtain insightful correlation of business transactions and SDLC entities
- Derive correlation of alerts/events in real time
- Resolve issues with AI-driven recommendations
- Noise suppression
- Follow self-healing and guided resolution
- Enhance persona experience through an insights-driven digital workplace
- Enable contextual collaboration between software delivery personas
- Onboard users rapidly via persona-specific infrastructure provisioning
How can Canvas solve for IT Personas?
Pre-Built Solutions
Resources
ISG Research™ published a research paper on “LTIMindtree Canvas 2.0, an AI-driven and Insights led Software Delivery Acceleration Platform.”
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Read MoreUsing Knowledge Graphs and Large Language Models to Accelerate Software Delivery
Adish Apte
Read MoreHow Advanced Analytic Techniques Can Lead to Enterprise Agile Effectiveness
Vengalarao Pelapolu
Read MoreKnow about Canvas 2.0 an AI/ML powered platform that enables ‘Insights fueled software delivery acceleration’ across the IT lifecycle
Download FlyerDiscover how Canvas empowers the software personas to be smarter & faster with its insights-led use cases.
Download BrochureCanvas revolutionizes the software delivery lifecycle with its AI nudged insights.
Learn more about Canvas 2.0Learn how Canvas Workplace enabled 85% reduction in team onboarding & provisioning time for multinational BFS Player
Download nowDiscover how Canvas Workplace assisted a North American Wealth Management SaaS Provider in accelerating team onboarding & minimizing costs.
Download nowLearn how implementing Canvas Insights Defect Advisor accelerates the TAT of the applications for a US-based insurer & enables maximizing results.
Download nowRead to know, how integrating Canvas Insights helped optimize regression for wealth management-focused North American SaaS Provider.
Download nowLTIMindtree’s Canvas Insights wins “Best Natural Language Processing Solution Award” in 2023.
Read MoreLTIMindtree’s Canvas Knowledge wins “Best Knowledge Management Solution Award” in 2023
Read MoreLTIMindtree Canvas Resilience wins “Best Limited Memory Pattern Recognition Solution Award” in 2023
Read MoreLTIMindtree’s Canvas Named Winner In The 2023 Artificial Intelligence Excellence Awards
Read MoreCanvas product suite was selected as 1st runner-up at the prestigious "Watts Humphrey Award-2022."
Read MoreGenerative AI and Coding - Rise of the Centaur Coder
Read MoreISG Research Report
Read MoreReimagining Global Service Delivery in the Post-Pandemic World - Exclusive Report by Everest Research for LTIMindtree
Read MoreLTIMindtree Recognized as a Leader in Everest Group’s Insurance Platforms IT Services PEAK Matrix® Assessment 2022
Read MoreLTIMindtree recognized as a ‘Leader’ in ISG’s Digital Business – Solutions and Services study for the U.S
Read MoreLTIMindtree Recognized as a Leader in the ISG Provider Lens™ Future of Work – Services & Solutions, U.S. 2021 Quadrant Report
Read MoreManaging Software Complexity – An Imperative
Read MorexFH – LTIMindtree Design for Thriving in the WFH Future
Read MoreRunning Remote Hackathons: Being resilient and productive from home
Read MoreTechnology-led Operations: Creating the Path to Success
Read MoreDesigning the Future of Software Engineering using LTIMindtree Canvas and CAST
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Read MoreReach Out to Us
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Exclusive Report by Everest Research for LTI
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