Illuminating the next generation of enterprise innovation with generative AI services
There’s a spark that’s igniting the world through boundless innovation and endless discovery.
The spark? Generative artificial intelligence, or genAI.
GenAI is already changing how we work and live. For enterprises, the time to act is now: According to our research, roughly 80% of workers and 93% of leaders believe that genAI will increase their productivity and enhance their work.1
GenAI improves human capability, but it also demands responsible usage. According to Gartner®, “By 2026, 90% of organizations will suffer more than 10 production-impacting events annually due to insufficient GenAI skills and testing investments.”2
Platforms and accelerators
Virtusa’s platforms and accelerators help enterprises deploy generative AI services and drive engineering efficiencies throughout the software development and maintenance life cycle. They work across your ecosystem to automate tasks, generate insights, integrate applications, and expand your competitive edge.
Helio Innovate brings together Virtusa’s Open Innovation Platform (OIP) and a rich generative AI experimentation ecosystem to enable ideation and prototyping using traditional and generative AI. Helio Innovate accelerates innovation through:
- Rapid ideation and prototyping using a wide choice of Foundation Models, vector databases, NLP algorithms, and configuration setups
- Out-of-the-box evaluation of LLM responses across multiple parameters, which helps in LLM selection
- Combining traditional AI models with generative AI foundation models to power use cases end-to-end
- A controlled and isolated sandbox with enhanced security controls that limit access to sensitive resources and data and prevents conflicts with other software systems
Helio Build is an array of tools developed by Virtusa to accelerate greenfield development using the power of generative AI. It provides acceleration for multiple aspects of the software development lifecycle (SDLC) – requirements, coding, unit testing, and assurance – by incorporating generative AI for:
- Streamlining the extraction and interpretation of user needs, reducing manual efforts and errors
- Automating the creation of design mock-up’s, wireframes, and architectural diagrams based on user specifications and design patterns
- Aiding in code generation, code completion, unit test generation, and bug detection, reducing manual effort and enhancing code quality
- Generating automated test cases directly from the requirements document, ensuring high levels of coverage
Helio Enhance brings the power of generative AI to accelerate the modernization of legacy systems. Modernization efforts have varying degrees of complexity and scale based on the size and stack of the source system and the desired target state. Helio Enhance provides the framework for employing LLMs to accelerate a wide variety of such efforts by:
- Internalizing the modernization approach laid out for the initiative through detailed understanding of specific tasks around analysis, development, and assurance including personas involved in each of those tasks
- Analyzing the body of work entailed by each task and identifying generative AI interventions that the task can benefit from
- Adapting existing Helio Enhance accelerators that use generative AI for legacy modernization to fit the specific client need; or development of a new accelerator if needed
- Interleaving Helio Enhance accelerators into the modernization approach by enabling various personas to use these accelerators
Helio Operate brings generative AI and AIOps together to set up intelligent operations, automating use cases to an extent that was previously not possible. Helio Operate includes a growing list of solutions that help with use cases, such as:
- Understanding tickets and providing steps for execution to resolve those tickets
- Automatically generating new knowledge articles, reducing the effort required to create and enhance your knowledge base
- Analyzing logs attached to a specific incident to provide deeper context about the root cause of the issue described in the incident
- Reducing human effort and improving resolution rates with generative AI-powered chatbots for service desks and other operational settings
- Interpreting email-based queries from customers and using sentiment-based analysis to auto-categorize them into incidents and requests
Helio offerings: Blueprints for your enterprise
To guide our clients on this genAI journey, we have structured our offerings around four key areas:
Consulting and advisory
- Accelerate ideation using our library of generative AI use cases for specific industries and functions, collect use case-specific data, and prioritize your use cases based on the most relevant parameters.
- Build an ROI model for generative AI investments using a tailored set of qualitative and quantitative parameters, incorporate use-case-specific cost models to make investment decisions
- Develop an implementation roadmap aligned with use case prioritization and other relevant business considerations
- Decide between centralized, federated, and hybrid operating models for generative AI competency development, governance, and implementation; accelerate the setup of the operating model using curated artifacts from our generative AI center of excellence
Discrete solution development
- Experimentation - Develop generative AI PoCs to validate the feasibility of your ideas, gain insights into your data, uncover new areas of effort toward productionization, improve the accuracy of your cost projections, and make informed decisions
- Productionization - Bridge the gap between experimentation and the real world by bringing your solutions to life in production. Engineer techniques that make your generative AI solution robust, reliable, and useful. Implement responsible AI safeguards, automated evaluations, and mechanisms to collect and process user feedback for continuous improvement.
- Data processing and platforms - Maximize the potential of your data to drive the most optimal experience for users of your generative AI solutions. Automatically analyze your content at scale using a variety of NLP techniques to understand coverage, quality, and richness. Automatically enrich your content with metadata that can help narrow it down to the most relevant content for sending to foundation models. Streamline content ingestion, processing, and delivery for generative AI applications using a platform approach that scales to multiple use cases.
Assurance
- Develop a tailored assurance approach based on the nature of the use case, the sensitivity of the data, the expectation of accuracy, and the specific generative AI solution technique in use, such as retrieval-augmented-generation
- Certify your generative AI applications for accuracy, reliability, and responsible AI guardrails using our comprehensive assurance framework. Automatically generate ground truths aligned to human evaluations, test LLM responses at scale, and provide feedback to solution teams using error-rate models that are tried and tested
- Monitor generative AI applications in production, including prompts, completions, human feedback, and other telemetry data to detect quality drifts and security risks using a combination of online and offline processing for a low latency experience
AI assisted engineering
- Enhance engineering productivity in specific project situations and project types by adapting our generative AI-powered SDLC accelerators for both greenfield and legacy modernization use cases. Analyze project approach, identify meaningful generative AI interventions, and interleave accelerators for various personas to maximize engineering productivity
- Develop tailored generative AI-powered accelerators for specific transformation use cases that are not serviced by existing tools in the market. Analyze project scope and scale along with the expected level of acceleration to define accelerator scope and commercial benefits
- Train your developers on popular third-party coding assistants using our partnerships with the corresponding provider
- Automate various aspects of support services, offering faster response times, personalized assistance, and efficient issue resolution with automated ticket triaging, automated response generation, and issue resolution assistance
How can Virtusa help?
Technology evolves rapidly, and genAI is no exception. Virtusa helps you deploy innovative and streamlined genAI solutions. We’ll work with you to identify enterprise-specific use cases, then implement relevant and scalable generative AI services. Our transparent, collaborative, and expertise-rich approach drives high levels of engineering efficiency and enables us to maintain strong governance through our implementation frameworks; that’s our genAI promise.
Our dedicated Generative AI Center of Excellence (CoE) is the key to your success, with engineers trained in generative AI use cases, the art of deploying real-world solutions, and continuous exploration of new models and techniques. Virtusa’s expertise spans diverse industries and functional areas, and we continuously invest in solution skills, including content analysis, foundational model selection, prompt engineering, genAI text classification, vector embedding, large language model (LLM) evaluations, and model training and fine-tuning.
Our Engineering First approach empowers us to engineer better solutions.
An engineering mindset powers everything we build, solve, and scale.
Say goodbye to the past, and say hello to Helio.
GenAI thought leadership
This collection of research and perspectives will help any enterprise with navigating genAI adoption.
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Stimulate discussion amongst teams and explore potential, challenges and implications of embracing genAI.
GenAI maturity index
Take this short quiz to benchmark your organization's proficiency and progress in leveraging generative AI technologies, and identify areas for maturity and innovation.
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