Cognizant Technology Solutions Corporation · NASDAQ:CTSH
Cognizant Technology Solutions — Investor Presentation (2024)
51 slides from Cognizant Technology Solutions's investor presentation, Nov 27, 2024
Slide 1: Elevate Developer Experience led by GenAI powered by Cognizant platform kits
Elevate Developer Experience led by GenAI powered by Cognizant platform kits © 2024 Cognizant | Private
Slide 2: Generative AI could deliver up to $1 trillion in annual growth
Generative AI could deliver up to $1 trillion in annual growth by 2032, while potentially disrupting up to 90% of existing jobs. How ca leaders navigate an upheaval of this scale and realize the technology’s full potential? By investing in people. 2 © 2024 Cognizant | Private
Slide 3: Generative AI enabled opportunities in the SDLC
Generative AI enabled opportunities in the SDLC Requirements Knowledge management • Generate requirements from past documents • Knowledge management documents • Generate user stories and backlogs • Knowledge bots • Generate data models and process flows • Automated training videos • Analyze existing
Slide 4: Bringing it together for a leading global insurance
Bringing it together for a leading global insurance Optimize the organization’s existing operations with Generative AI to establish and leverage as an industrialized change engine. Making the development function as productive as possible. Build the highest- Tested and Continuously, intelligently Wi
Slide 5: Strategic approaches to transformation resulting in higher productivity
Strategic approaches to transformation resulting in higher productivity and enhanced developer satisfaction Paths to adoption leading to productivity gains Value delivered Action plan • Develop disruptive proposition Value Impact • Prototype and assess feasibility • Incubate challenger setup • Pilot
Slide 6: Day in the life of an engineer | Present
Day in the life of an engineer | Present Manual processes Automation / GenAI SonarQube GitHub Tools Confluence GitHub GitHub GitHub Stack overflow Junit JIRA IDE IDE IDE IDE View Kick start Code in Update Update Prepare and Edit code SonarQube Create a Peer / land Merge Deployment Post requirement d
Slide 7: Day in the life of an engineer | Future
Day in the life of an engineer | Future Manual processes Automation / GenAI IDE integrated with Code Companion, Prompt libraries Flowsource integrated with JIRA, Confluence, Junit, SonarQube, GitHub ViewView Kick Kick start start Code Code in in Update Update Update Update Prepare Prepareand and Edi
Slide 8: Flowsource is Cognizant's modern engineering platform
Flowsource is Cognizant’s modern engineering platform A Gen-AI infused platform that minimizes complexity, obstacles and distractions, providing engineers with everything they need to build Integrated development workflow Increase awareness, remove distractions Integrate the entire development journ
Slide 9: Using a platform-based approach to maximize benefits of Generative AI
Using a platform-based approach to maximize Benefits of a the benefits of Generative AI platform-based approach • Consistent implementation of best practice workflow across engagements. Product / Delivery UX / UI design Full-stack engineers Quality engineers Site reliability engineers • Rapidly depl
Slide 10: How we initiate the pivot to modern engineering
How we initiate the pivot to modern engineering Rapid launch and learning across governance, productivity and discovery in 1 to 3 months Assess (4 to 6 weeks) Pilot (6 to 12 weeks) Scale (3 to 6 months) Assess environment Set automation Monitoring and Formalize Change Benchmark and Governance and ma
Slide 11: Measuring the value focused on the employee
Measuring the value focused on the employee f Employee experience Product impact Customer focus of our teams SDLC Delivery excellence Satisfaction/collaboration Evolve the culture KPI dimensions and measurement (example) Dimensions Weight Criteria Metric Target Review Team’s productivity Degree of e
Slide 12: How to get started – the Gen AI Accelerator
How to get started – the Gen AI Accelerator A 6-8 week program to define near, medium and long-term actions and propel AI innovation Typical accelerator timing Assess opportunities Readiness assessment Prioritization & tooling Roadmap and proposals (1 week) (2-3 weeks) (2-4 weeks) (1 week) Gather in
Slide 13: Thank you
Thank you 13 © 2024 Cognizant | Private
Slide 14: Leveraging Generative AI to power IT & business
Leveraging Generative AI to power IT & business Use cases across three dimensions Cognizant leverages Neuro® IT Ops platform capabilities and engineering expertise to bring IT assistants which aids in accelerating adoption of gen AI in IT Operations landscape 3 1 Additionally, Cognizant offers compr
Slide 15: Build for modern IT & business
Build for modern IT & business Our priority is to modernize applications Modern Operations and infrastructure towards a state that Cognizant Neuro IT Ops serves business long-term. Platforms play Automation engineers Automation New a role end-to-end. engine Automations cv cv System • Automate resolu
Slide 16: Flowsource: The next generation platform for modern engineering
Flowsource The Next generation platform for modern engineering Overview 16 © 2024 Cognizant | Private
Slide 17: Re-wiring the enterprise for pervasive AI
Shift to AI Native Re-wiring the enterprise for pervasive AI AI is going to change the services we provide, how we Boundless potential work and how we compete. We have moved past the New services, value propositions and channels as proof-of-concept stage, with organizations beginning to digital gets
Slide 18: We've entered a new S-Curve
We’ve entered a new S-Curve The last 10+ years were shaped by a war for digital talent. With AI productivity gains, competition is going to shift to technology-powered acceleration. The War for Innovation 2023 → Leaders will exploit technology to augment, accelerate and automate The War for Talent 2
Slide 19: More features faster should drive value, not slow you down
More features faster should drive value, not slow you down Due to ballooning costs and increased Modern engineering practices have yielded tremendous benefits. complexity, technology innovation often comes with downstream Software Infra Automation Test Engineers Engineers Engineers Engineers setback
Slide 20: Accelerating solution development is a great place to start with GenAI
Accelerating solution development is a great place to start with GenAI Augmenting the delivery of technology-enabled Orchestrated strategy change should be a high priority: • Tools are available today that can make a meaningful impact Engineering Quality • Faster, more effective change will accelera
Slide 21: Generative AI use cases span the solution development lifecycle
Generative AI use cases span the solution development lifecycle WHAT to change HOW to change DO the change ASSURE the change Consolidate Apply requirements Create code and Test and monitor improvement opportunities to architecture digital assets for effectiveness • Market and customer insight • Requ
Slide 22: Engineer More. Better. Faster
Engineer More. Better. Faster Businesses with top-quartile engineering speed outperform market growth rates by 4x, or more(*). Simplified, integrated processes to accelerate smartly. Gen-AI Development DevOps companions experience automation Turn policy & standards into Focus engineering on features
Slide 23: Flowsource is Cognizant's modern engineering platform
Flowsource is Cognizant’s modern engineering platform A Gen-AI infused platform that minimizes complexity, obstacles and distractions, providing engineers with everything they need to build Integrated development workflow Increase awareness, remove distractions Integrate the entire development journ
Slide 24: A platform for scaled modern engineering, across the enterprise
A platform for scaled modern engineering, across the enterprise Automation, Generative AI and templatized practices merge to create the 10X engineering business Software Cognizant Flowsource® Business engineers user Planning and prioritization Well architected Story Boards Ops Excellence Reliability
Slide 25: Flowsource integrates, and accelerates every stage of the SDLC
Flowsource integrates, and accelerates every stage of the SDLC | High Level Requirements | Solution Architecture | High level Design | Release roadmap 1 Get business feedback Review GitHub Action, Change control Requirements User Stories Azure Pipeline / gaps / Add to backlog & Approvals Confluence
Slide 26: Using a platform-based approach to maximize benefits of Generative AI
Using a platform-based approach to maximize Benefits of a the benefits of Generative AI platform-based approach • Consistent implementation of best practice workflow across engagements. Product / Delivery UX / UI design Full-stack engineers Quality engineers Site reliability engineers • Rapidly depl
Slide 27: A day in the life of Flowsource
A day in the life of Flowsource Implementation of a user story Mithul. Full-stack Understand the requirement Write code Test, refine, and release Java engineer Mithul collects requirements for the current sprint. He’s Mithul creates a development project and sandbox. He Mithul checks in the code and
Slide 28: Case Study: Copilot implementation
Case Study: Copilot implementation Client context: Tech stack US based company writing software products in the financial services industry Client objective: Productivity Improvement with GitHub Copilot Implementation timeline Aug 2023 Sep 2023 Oct 2023 Nov 2023 Mar 2024 Metric Improvement • Initiat
Slide 29: A delivery model built for disruptive tech every month
A delivery model built for disruptive tech every month Flowsource allows us to continuously deploy the best engineering accelerators to our teams Gen AI Labs • Stay ahead of frontier technology • Explore and trial new models • Centralize governance Cognizant Flowsource Nurture Next generation Scale
Slide 30: As flow is achieved, build compound gains
As flow is achieved, build compound gains New applications Extended productivity Platforms to enable Gen AI governance Build new customer experiences Create an engine for doing more Orchestrate models, enterprise data Create systems to assure smart, that exploit Generative AI. across the business. a
Slide 31: Typical benefits
Typical benefits Working with our clients we consistently achieve gains in cost efficiency, speed to market and business agility. A better performing technology function also directly contributes to increased revenue, better operating margins and enhanced customer satisfaction. 15-30% 3-7x 20-50% In
Slide 32: Our suite of platforms accelerates agility and efficiency
Our suite of platforms accelerates agility and efficiency Developer Modernization Experience Assessment Modern engineering Sk Cloud modernization Templates & Increase development productivity and ce yg Modernize to a cloud-native Re-factoring & Provisioning ur Containerization ra quality with the fu
Slide 33: Single pane of glass driving AI governance
Single pane of glass driving AI governance 33 © 2024 Cognizant | Private
Slide 34: Cognizant's Flowsource - Implementation Workflow
Cognizant’s Flowsource - Implementation Workflow Discover Implement Adopt Impact Customer Platform Business Evangelization Discovery Solution approval & deployment Adoption benefits at scale sign off & integration • Initiate Demos • Understand tools • Flow source solution – • Follow up client • Reso
Slide 35: Flowsource deployment architecture
Flowsource deployment architecture Flowsource is a containerized application that can be deployed to a choice of infrastructures and is multi-cloud enabled. A single instance of Flowsource can orchestrate multiple tools and environments. Flowsource® SSO/Auth User Software Plugins Plugins Database (O
Slide 36: Flowsource functional architecture
Flowsource functional architecture System objectives Portal Prompt Unified user experience • Consistent implementation of best practice library workflow across engagements. Planning System Docs Templates Code review Automation • Rapidly deploy, scale and embed coding GenAI knowledge assistant DevSec
Slide 37: Deployment Architecture – Liberty Mutual
Deployment Architecture – Liberty Mutual Plugins CI/CD Stories ITSM Template Catalog / Code Authentication Object Storage Repo Code Security Requirements Github Control Pane Quality Scan Stories Jira Flowsource Github Code Repo Auth CI/CD Bamboo Front end Backend plugins plugins Code Quality SonarQu
Slide 38: Deployment (Flowsource build) prerequisite
Deployment (Flowsource build ) prerequisite FlowSource is built at the customer environment. All the dependencies and required software are downloaded at the customer environment and Docker images are built. Access to Docker hub, npm repository, GitHub, and container registry is needed. Hardware & s
Slide 39: Tracing till now and looking beyond obvious
Tracing till now and looking beyond obvious Evolving Coding Languages Templatizing Coding Introducing AI Assistant • Reduce complexity and difficulty so that so that so that of coding • Enable anyone to create powerful Developers can code with ease Non-developers can also code Developers can code fa
Slide 40: Envisioning the future model of application development
Envisioning the future model of application development Existing model Algorithm Created Business Ideas 1 2 3 Rules Coded Software Program Value Realized 6 5 4 Developed Added in application as features 40 © 2024 Cognizant | Private
Slide 41: Envisioning the future model of application development
Envisioning the future model of application Development Future model Business Ideas 1 2 LLM Model to generate Human developer Software Program But Value Realized 4 3 Added in application Army of AI coding agent as features Future model Business user for development Business Direct natural language R
Slide 42: The new age of coding with generative AI powered code-companion tools
The new age of coding with generative AI powered code-companion tools Prominent code-companion tools Developers acting more as ‘Orchestrator’ Developer spends less time Code suggestion and on coding and more on auto completion to review and orchestration speed up the coding Code suggestions and Code
Slide 43: Current state value stream
Current state value stream Development Testing Production support Approval for production Deployment Create Unit Deploy to QA Business User Signoff SRS Test environment Deploy to Production Sign Off Manual Functional User Acceptance Coding SRS Testing Testing Manual Functional Testing Write User Dep
Slide 44: Future value stream with Gen AI enabled automation across SDLC
Future value stream with Gen AI enabled automation across SDLC Newly added Development Testing Production support Create Branch Deploy to QA Environment Approval for Production Deployment Automated Smoke Testing Business User Signoff Create BRS Automated Coding Deploy to Production in Blue-Green Mod
Slide 45: Finding value beyond story points
Finding value beyond story points Team value Life cycle value Engineer value Customer value How to measure customer value with How to measure productivity of a team How to measure improvement How to measure performance improvement: with Flowsource: with DORA: with SPACE: • Cycle Time – Average time
Slide 46: Few roadblocks to navigate but going to be a reality soon..
Few roadblocks to navigate but going to be a reality soon.. Current limitations What we are going to witness Limited Lack of… Not enough context code available window Coding will be taken people for training and not having formal training in Not able to refinement pick a long development prompt Data
Slide 47: The future model necessitates the shift in priorities and focus
The future model necessitates the shift in priorities and focus Current Coding language Programming Developers Cost mindset Focus areas and best practices languages Future Prompt engineering Creating and refining LLMs AI coding agents Value mindset Model focus areas 47 47 © © 2024 2024 Cognizant Cog
Slide 48: Conceptualized, then Reality, now
Conceptualized, then Reality, now Click on the Video Currently, such use-cases are few and crude but there has been an exponential rise 48 © 2024 Cognizant | Private
Slide 49: Flowsource Demo
Flowsource Demo 49 © 2024 Cognizant | Private
Slide 50: Few roadblocks to navigate but going to be a reality soon..
Few roadblocks to navigate but going to be a reality soon.. Current Limitations What we are going to witness Limited Lack of… Not enough context code available window Coding will be taken people for training and not having formal training in Not able to refinement pick a long development prompt Data
Slide 51: Gen AI will enable senior developers to allocate more time to value-added tasks
Time | Gen AI will enable senior developers to allocate more time to value-added tasks, which could account for 50% of their time Illustrative senior software developer’s time distribution (in %) Impact Gen AI Drivers • Increased time allocated to coding (value- 100% added time), capturing time free
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