Zensar is a leading technology solutions company ,a part of the USD 4.4 billion RPG Group, serving over 145 global clients with 10,500+ workforce across 30+ global locations. A public-listed company for over 50 years, disrupting the status quo through our deep engineering capabilities, innovation, and velocity. Our delivers cutting-edge digital solutions, unlocks growth, and empowers our clients to thrive and succeed in a world of constant change.
"Zensar’s “AI Engineering Buddy”- A one stop solution to elevate Engineering Velocity for Enterprises addressing complex engineering challenges and driving innovation within organization infused with Industry standards and best practices etc, leveraging Gen AI services using AWS Bedrock Available as a web app, plugin, and CLI tool, our solution supports responsible AI frameworks and is fully configurable, leveraging advanced LLM from AWS Bedrock".
The product is a Hyper ledger fabric block-chain based reconciliation and settlement platform, designed to automate card transactions reconciliation processing for acquiring banks / acquirers. It ensures faster settlement, data privacy, and transparency through smart contracts, while supporting ISO 8583 and custom formats for seamless integration.
Workforce analytics built on AWS cloud echo system to tackle upcoming workforce hurdles by streamlining training platforms, enhancing demand forecasting precision, and customizing learning paths. It strengthens diversity, equity, and inclusion (DEI) initiatives through visualizing diversity indices. Leveraging data-driven insights, it empowers organizations to cultivate a diverse, skilled, and committed workforce, ready for future opportunities and challenges.
Container factory performs automated discovery of the current application workloads for cloud readiness, provide gaps and recommendation for containerization ,create container image for cloud ready applications, create HELM charts and deploy containers on AWS elastic container services (ECS), AWS Elastic Kubernetes Services (EKS) , AWS Fargate or any other kubernetes cluster.
It is an efficient tool for financial advisors which automates tasks and offers insightful recommendations. It provides sentiment scores for client portfolios, suggests optimal actions, and enhances client intelligence through social media insights. Automated responses to client queries, generation of meeting agendas, and recording meeting notes contribute to increased productivity. The tool also establishes a knowledge repository, covering regulatory changes, cryptocurrency, ETFs, ESG, and alternative assets, ensuring financial advisors stay informed. It is developed using Amazon Sage Maker, Amazon Relational database service (RDS), Amazon Simple storage service (S3).
It helps to setup the cloud landing zone, AWS Organization, Governance policies on AWS Accounts, Automated Account Factory for account provisioning, AWS curated services e.g., AWS Elastic Compute (EC2), AWS Lambda, AWS RDS, CloudWatch, CloudTrail etc. for the enterprise starting their journey to the cloud. It uses AWS Control Tower, AWS Service Catalog along with Terraform, YAML scripts to customize and auto provision the environment as per enterprise requirement.
Data Buddy-Knowledge Curation is an AI-powered tool that automates the creation of various software development documents, including business requirements, test cases, and technical documentation. By leveraging React for frontend, AWS Lambda for backend, AWS Bedrock service calls Cohere as Foundation model, and PostgreSQL as database for storing data and data embeddings, it analyzes code and generates accurate required documentation, reducing time and effort while improving knowledge management and accuracy. This tool helps organizations streamline development processes, enhance productivity, and mitigate risks.
Responsible AI tool developed using Responsible AI framework ,is used to perform impact assessment for Gen AI applications for Bias and Fairness, Privacy violations, security risks, Model robustness and security ,Sustainability and environmental impact, ethnic considerations, governance and insights and holistic governance for AI application development.
Data Tech Modernization is a powerful tool that helps organizations modernize their legacy code and data infrastructure. By automating code/system/data objects conversion, improving code quality, and suggesting best practices, it significantly reduces development time, cost, and risk. This tool empowers organizations to unlock the full potential of their legacy data, enabling faster innovation and better decision-making.
FinOps Managed services incorporates FinOps assessment, implementation and setting up FinOps Office to setup budgeting, cost reporting, optimization recommendation on IAAS and PaaS services using AWS native tools AWS cost explorer, Cost hub, AWS compute optimizer. It also provides automation script to resize the virtual machine, auto shutdown, usages of spot instances, resizing the AWS services SKUs based on usages and scalability.
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