The transformation journey means many things to many different enterprises. No matter your goals – whether it’s growing and optimizing your business or disrupting the market – you need enterprise endurance on the path ahead. Partnering with you every step of the way or at any point in your journey, we help you anticipate disruption, thrive amid waves of change, reach breakthrough opportunities and drive revenue growth.
1. Data Analytics
"With our AWS and Azure data analytics services, you can extract valuable information from a wide range of data sources. We use high performing ML models to unlock valuable information for your use case. These insights empower you to make well-informed decisions, enhance adaptability, and gain a competitive advantage in the market."
2. Data Migration
We support you throughout the complex process of cloud data migration from choosing the right migration approach and strategy to leveraging our automation tools, adopting cloud-native services and standardizing the process. Whether AWS cloud or Azure cloud, by using proper goal setting and continuous cost optimization processes, we help you mitigate the risk of program failure and enhance overall efficiency. With ALM, migration is not just a shift but a step towards a modern, cost-efficient and scalable system.
3. POC Delivery
Our teams work together to help you quickly build proofs of concept (PoCs) and production-ready minimum viable products (MVPs) that are customized to your needs. This allows you to understand the feasibility and value of generative AI use cases. We begin by creating a clear vision for your priority use cases and delivering a PoC with fundamental data capabilities. We then assist you in preparing a pipeline of future use cases to foster ongoing innovation. Our offerings include quick PoCs in just a few weeks or production-ready MVPs with a scaling roadmap over several months, depending on your needs.
4. Devops and Automation
Fuel innovation, bolster security, and increase agility through our DevOps and automation proficiency. Benefit from comprehensive cloud infrastructure management, resulting in customized and cost-optimized systems tailored to your unique needs.
5. Modern Application Development – Containers
Explore the full capabilities of Docker and Kubernetes with our containerization strategies. We enable effortless application scaling, fine-tuning cloud-native architectures to match your specific requirements. This results in streamlined daily operations, making the most of your containerized environment.
6. Infrastructure as Code
Empower your AWS infrastructure with our Infrastructure as Code (IaC) expertise. Utilizing Terraform and Ansible, we streamline daily deployments, delivering consistent and scalable environments on AWS. This enables you to concentrate on innovation, unburdened by infrastructure management.
7. CICD
Accelerate development cycles and swiftly introduce new features to users with our optimized CI/CD process. By automating repetitive tasks such as builds, tests, and deployments, we empower your team to dedicate their time and energy to crafting outstanding software experiences.
8. Software Quality and Testing - QA
Enhance software reliability with our extensive testing frameworks. Achieve advanced security, operational excellence, and future-proof your solutions. Accelerate time-to-market with cost-effective and cutting-edge testing methods.
9. Finding the Right Use Case
Value doesn’t have to be flashy. Finding the right problem to solve means understanding what data can do and where it can add incremental value. As we evaluate multiple use cases, a key question is around what data is both accessible and useful. The value of any GenAI initiative is defined by the quality of data supporting it and by the savings derived or revenue generated by it. Our expert team of professionals can unlock the potential in your data to find the right use case for your business.
10. Assembling the Right Team
It’s critical to have the right cross-functional team to successfully deliver GenAI projects. A group of skilled developers is necessary but insufficient by itself — the team must include GenAI technologists (engineers, developers, architects), domain SMEs and business-process consultants to ensure successful execution. It’s also essential to have representation from the business as project sponsors. That’s the only way to reliably deliver on value targets.
11. Delivering high quality Services
There is prep work that should be done before launching an AI project to ensure a smooth transition and execution. Ensuring the right technology is approved (e.g., LLMs, knowledge graphs), gaining necessary approvals from internal GenAI governance, onboarding developers to be ready on Day 1 and ensuring the environment is provisioned to run pilots.
12. Piloting, Iterating, Improving
It’s critical to incorporate real user feedback to refine any tool. Trial and error, with prompt feedback from SMEs, allowed for rapid continuous improvement during development. And because the SMEs were seeing progress, they were more confident that the effort was worthwhile, which inspired them to keep development moving.
