AWS generative AI & ML services

Embed purpose-built Generative AI & ML models into your AWS cloud infrastructure.

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Nextbrain’s AWS Gen AI & ML solutions- Your trusted partner

Leverage the power of AWS data analytics

Nowadays, Businesses are adopting artificial intelligence and machine learning to derive valuable insights from data, from building excellent business models to forecasting business demands and empowering smart agents. Nextbrain provides AI & ML and user experience solutions on AWS that assist companies in unveiling the potential of AI. It improves customer experience, reduces business risks, and accomplishes higher value at speed.

Harness the power of AWS Generative AI proficiency

Transforming the ways of working and driving organizational efficiency with effective generative AI solutions. With industry-leading experience, Nextbrain blends with you to engineer high-quality datasets and establish frameworks for data privacy and model explainability.

Our AWS Generative AI Solutions

Custom solutions development

Custom solutions development

We have a skilled team of AWS engineers that uses Amazon bedrock for developing highly customized solutions including intelligent document processing systems and predictive maintenance tools. It helps in driving efficiency within your enterprises.

Data preparation

Data preparation

Our professionals harness the power of AWS Glue DataBrew and Amazon SageMaker along with data profiling and feature engineering techniques for preparing consistent data for model training.

Gen AI-powered app development

Gen AI-powered app development

Harnessing effective tools, we provide secure data analytics implementation solutions. We help in integrating enterprise data for operational and analytical models for transforming your firm into an insights-driven organization.

Gen AI application integration

Gen AI application integration

Our professionals have many years of knowledge and experience in integrating custom-built generative models into applications leveraging the power of AI in AWS. We deal with Gen AI application integration services that help businesses create a robust cloud infrastructure.

Task-specific fine-tuning

Task-specific fine-tuning

We have professionals who fine-tune pre-trained models such as GPT-4 & Amazon Titan on a specific dataset optimizing hyperparameters and building upon the model’s pre-existing knowledge.

LLMOps

LLMOps

At Nextbrain, we develop tailored deployment pipelines, establish advanced monitoring and execute model compression techniques for high-performing with evolving business requirements.

AWS Bedrock

AWS Bedrock

As a completely managed service, our Amazon bedrock services provides a cluster of high-performing foundation models right from leading AI generation. It enables users to easily experiment with and evaluate top FMs for use cases. It can privately customize them with data utilizing techniques including fine-tuning and retrieval augmented generation.

AWS sagemaker

AWS sagemaker

Nextbrain Cloud experts help in strategizing ML implementation right from developing ML models utilizing Amazon SageMaker for integrating into business systems. We provide value-driven machine learning solutions harnessing features such as video analytics, computer vision, language analysis and speech recognition.

Amazon Q

Amazon Q

As a generative AI assistant, it administers businesses with advanced language models and machine learning potentials. With its capability to comprehend natural language, automate tasks and generate human-like responses, our Amazon Q is specially designed to assist organizations harness AI and streamline workflows for enhanced solutions.

Are you ready to get started with Gen AI AWS?

Nextbrain brings to you the superpower of AWS cloud applications.

CONNECT WITH OUR AWS PROFESSIONALS
Obtain a competitive advantage with AWS data analytics services

Boost your existing tech practices with AWS cloud

We are a team of AWS-certified experts having extensive knowledge and expertise in offering expert AWS cloud consulting solutions to different business infrastructures. Our primary objective lies in developing and deploying tailored solutions for meeting your business needs for long-term results. From adopting industry best practices to creating robust digital solutions, we have mastered cloud computing to enhance business prospects.

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Why choose Nextbrain for AWS services?

As a leading AWS premier partner company, Nextbrain has demonstrated deep technical expertise in harnessing AWS generative AI tools such as SageMaker and Amazon Bedrock in developing and deploying generative solutions at scale. Our specialists bring together effective AWS tools and strategies to solve your unique business challenges.

Robust security

Robust security

Our professionals help in gaining complete control and visibility into the way data can be accessed and stored at the time of the entire model lifecycle. Our professionals use AWS PrivateLink and virtual private cloud for tackling data during the model training.

Responsible AI

Responsible AI

Our Generative AI solutions are meant towards prioritizing transparency and accountability within a business infrastructure. With exclusive evaluation of potential biases and AI techniques, Nextbrain assists you create an effective cloud AI infrastructure.

Security & compliance

Excellent technical expertise

At Nextbrain, we have seasoned experts who have proficiency in developing cloud-native apps leveraging popular cloud platforms and tools. We are present to bring your application ideas to life using advanced technology stacks.

FAQ about AWS Generative AI & ML

Click on a questions to expand and reveal the answer!

  • Why is the AWS cloud beneficial for Generative AI?
    AWS comes with a wide plethora of features that make it easy to build and scale generative AI applications for your data, customers, and use cases. Generative AI has major applications on AWS such as providing enterprise-grade security and privacy to applications, developing generative AI-powered applications, giving access to a wide cloud infrastructure across foundation models, and creating a data-first approach.
  • How is AWS used for AI?
    Amazon web services make AI accessible to many industries. Having an all-inclusive set of AI services and resources, Amazon brings effective expertise to many customers to meet their business demands.
  • What are the distinct benefits of AWS and AI applications?
    AWS provides AI infrastructure for training and inference requirements. It comes with managed services and Generative AI tools for building AI applications. The tools involve enterprise-grade security administering access to industry-based FMs. AWS comprises tools curating documents and business-specific data for assessing large language models and developing applications.
  • Can AWS be used for machine learning?
    Yes, AWS provides a broad spectrum of ML services, infrastructure and deployment solutions. AWS makes the most use of machine learning by providing high-performing, scalable and cost-efficient infrastructure for meeting business needs. By leveraging advanced tools like Amazon SageMaker, Amazon Bedrock, and Amazon Codeguru, businesses can bring a scalable infrastructure tailor-made for businesses.
  • How SageMaker can be useful?
    Leveraging AWS SageMaker, one can easily build, train and deploy ML models at scale utilizing tools such as profilers, debuggers, notebooks and pipelines, MLOps and many more. These are all under one integrated development environment (IDE). SageMaker helps in supporting governance requirements with effective access control and transparency.
  • What is the AWS SageMaker designed for?
    SageMaker is specially designed for managing ML algorithms for running effectively against large data within a distributed environment. Having built-in supportive AI can be used on different documents that can be retrieved from a dataset. At Nextbrain Cloud, we build Amazon Q business in the Amazon ecosystem. rt for algorithms and frameworks, SageMaker provides flexible distributed training options that can seamlessly adjust to your specific workflows.
  • What are the advantages of using AWS bedrock?
    Harnessing AWS bedrock, one can seamlessly experiment with and assess frameworks for your use case privately customizing them with data utilizing techniques of fine-tuning. It proves beneficial for building serverless LLM applications with Amazon Bedrock and thus apps can be easily deployed.
  • Does your AWS Bedrock integrate with the AWS ecosystem?
    Yes, our AWS bedrock platform seamlessly integrates with the AWS ecosystem enabling businesses to leverage a wide spectrum of additional services. The integration improves the overall performance of the platform and allows organizations to create high-end solutions.
  • Does Amazon bedrock offer real-time analytics?
    Yes, our Amazon Bedrock services offer effective analytics tools that enable businesses to acquire real-time insights into their operations. It allows data-driven decision-making assisting organizations stay ahead in a rapidly changing business landscape.
  • What models do you use for Amazon Q?
    Powered by Amazon Bedrock, a completely managed service that makes foundation models available through an API. This model empowers Amazon Q with high-quality AWS content for getting more actionable and complete answers to boost building an ecosystem on AWS. Leveraging RAG, generative AI administers businesses and developers the flair to fine-tune AI models to their specific codebases and domain knowledge.

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