AWS Machine Learning & AI Consulting Services
Unlock the transformative power of artificial intelligence (AI) and machine learning (ML) with AWS. Our solutions are designed to streamline the deployment, automation, optimization, and exploration of diverse AI and ML use cases, including AI-generated content, natural language processing, application development, machine learning operations (MLOps), predictive analytics, personalization, and computer vision
Here to help.
We can help you harness the power of data analytics by providing seamless, cost-effective cloud solutions that enhance data integration, governance, and operational efficiency, driving innovation and business growth.
We can help you with…
A host of artificial intelligence (AI) services and solutions for your use case
Amazon Q
Amazon Q generates code, tests, debugs, and has multistep planning and reasoning capabilities that can transform and implement new code generated from developer requests. Amazon Q also makes it easier for employees to get answers to questions across business data—such as company policies, product information, business results, code base, employees, and many other topics—by connecting to enterprise data repositories to summarize the data logically, analyze trends, and engage in dialogue about the data.
Amazon Bedrock
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI. Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources. Since Amazon Bedrock is serverless, you don’t have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
AI Infrastructure
AWS provides the most comprehensive, secure, and price-performant AI infrastructure—for all your training and inference needs. Build with the broadest and deepest set of AI and ML capabilities across compute, networking, and storage. Run distributed training jobs using the latest purpose-built chips or GPUs with managed services.
Amazon Sagemaker
Amazon SageMaker is a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case. With SageMaker, you can build, train and deploy ML models at scale using tools like notebooks, debuggers, profilers, pipelines, MLOps, and more – all in one integrated development environment (IDE). SageMaker supports governance requirements with simplified access control and transparency over your ML projects. In addition, you can build your own FMs, large models that were trained on massive datasets, with purpose-built tools to fine-tune, experiment, retrain, and deploy FMs
The full Story of
AI and Machine Learning
AWS is revolutionizing how organizations of all sizes and types utilize artificial intelligence and machine learning. With a focus on Generative AI, AWS provides access to advanced large language models (LLMs) and foundational models (FMs), enabling businesses to craft applications that transform customer and employee experiences. These applications are fortified with enterprise-grade security and privacy, ensuring that your data is protected while leveraging some of the most powerful models available today.
Moreover, AWS offers a robust toolkit to build and scale Generative AI applications efficiently. Organizations can innovate swiftly thanks to a suite of new capabilities, a selection of industry-leading foundational models, and an infrastructure designed to maximize performance while minimizing costs. Whether you’re looking to enhance personalization, streamline operations, or create entirely new services, AWS provides the tools and environment to bring your AI ambitions to life with scalability and precision.
AWS Catalyst Program
Get more from your AWS investment through Aligned’s AWS Catalyst Program. By becoming a Catalyst Member, you have immediate access to a range of value-centric services designed to simplify your cloud operations, optimize your cloud spend and ensure both your cloud compliance and cloud security.
Managed Cloud Services
Driving increased value throughout your cloud journey.
Latest Resources
Case Study: MSP for SembraCare
CASE STUDY Managing the Cloud with Confidence: SembraCare's AWS Journey with Aligned Technology GroupHealthcareExecutive Summary SembraCare, a healthcare technology provider, sought to strengthen the compliance, and operational efficiency of its AWS environment while...
Your Quick Guide to AWS Pricing: What You Pay & Why
At Aligned Technology Group, we help customers navigate AWS pricing with clarity and confidence. Here’s a simple guide to how AWS pricing works—so you only pay for what you use, when you use it, and how you use it. 1. Pay-as-You-Go AWS charges only for the services...
AWS Databases: The Engine Room for Modern Cloud-Native and AI-Powered Applications
As cloud-native architectures, generative AI, and data-driven apps become the norm, your choice of database isn’t just a backend concern—it’s a critical business decision. AWS offers a robust portfolio of fully managed databases, purpose-built for every type of modern...
