Amazon Web Services
OPTIMOZ delivers state-of-the-art digital transformation utilizing AWS cloud services and solutions. As an AWS Consulting Partner, we have met the strict standards set by AWS for this designation. OPTIMOZ consistently demonstrates excellence in cloud strategy, migration, deployment, and support of our cloud solutions in AWS.
OPTIMOZ has successfully helped its customers to migrate and modernization their applications into AWS cloud. This includes refactoring monolithic applications into microservices to deploy container platforms like AWS ECS, EKS, Kubernetes and OpenShift within AWS cloud. Our successes and customer satisfaction highlight our dedication to being a trusted partner that can help you take advantage of the innovation, flexibility and cost effectiveness of the AWS platform.
Organizations using a DevOps model deliver applications quicker and innovate faster. AWS offers elastic, on-demand infrastructure resources and tooling designed to support DevOps practices such as continuous integration and delivery, infrastructure as code, microservices, and monitoring & logging. Combined with elastic compute that can be scaled up or down within minutes, these DevOps tools help you automate infrastructure and software release processes at scale. With AWS, there’s no hardware to setup, manage, or operate. By using AWS and a DevOps model, you can focus on rapidly and reliably delivering new features and services to better serve your customers.
Your enterprise thinks that it might want to move its key applications and data to the Cloud. Now you need to figure out how to get there.
You need the right answers to many questions:
- In their current state, can my core applications will operate effectively in the Cloud?
- If not, how do I get them up to speed?
- Do I refactor, build new, or buy COTS applications?
- What is involved in refactoring an application to run in the Cloud?
- In what order do I move my applications and data to the Cloud?
- Can I afford to move to the Cloud?
- Do I have the right people and skills internally to manage a Cloud transformation and operate in the Cloud going forward?
- How do I get my team up to speed by adding the right new skills?
- What’s the Cloud vendor landscape? Which Cloud platform is right for my enterprise? Which tools should I use for application development and operations? How should I manage my data in the Cloud?
- How do I manage both my technical team and stakeholders across the enterprise during a Cloud transformation?
At OPTIMOZ, we work with enterprises to build a comprehensive strategy for determining whether, when, and how to move their core applications to the Cloud.
The key elements of the strategy include:
Harnessing Artificial Intelligence to Revolutionize Healthcare
The integration of artificial intelligence (AI) into healthcare is revolutionizing the way patient records are managed and accessed, paving the way for improved care delivery and patient outcomes. As healthcare systems face the challenge of managing vast amounts of patient data, AI technologies offer innovative solutions to streamline processes, personalize treatment, and ensure data security.
Building Bridges: The Power of Collaboration Between Teams and Leadership
The integration of artificial intelligence (AI) into healthcare is revolutionizing the way patient records are managed and accessed, paving the way for improved care delivery and patient outcomes. As healthcare systems face the challenge of managing vast amounts of patient data, AI technologies offer innovative solutions to streamline processes, personalize treatment, and ensure data security.
Healthcare with AI: A New Era of Efficiency and Personalization
The integration of Artificial Intelligence (AI) into healthcare systems is not just a futuristic vision; it’s a transformative reality that is reshaping the landscape of medical care delivery. For healthcare providers, embracing AI technologies offers a pathway to enhanced operational efficiency, superior patient outcomes, and a new level of care personalization.
Large Language Model Foundation & Retrieval Augmented Generation
Large language models (LLMs) have taken the tech world by storm, and everyone is rushing to adapt them for their use cases. These adaptations can be in the form of directly using vanilla models, fine-tuning (using algorithms such as PEFT-LoRA), and Retrieval Augmented Generation (RAG).
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