AWS Generative AI Services
You need AWS generative AI if
There are content creation bottlenecks
You cannot produce enough high-quality content due to resource and time limitations. Hiring more people is not an option for you.
You have issues with customer engagement
It is time-consuming for you to personalize interactions with customers. This leads to lower customer satisfaction and worse company reputation.
Business faces resource constraints
You don’t have enough team members or relevant expertise to cover all the company’s needs. Your budget is limited and there is no possibility of employing more people.
There are limitations in data analysis
It is difficult to process and analyze great amounts of your data. You feel overwhelmed and cannot get insights and understand trends.
You face product development delays
The development of new features or products is slow. Your processes take time and are not optimized for rapidly changing market conditions.
Business has market research difficulties
Gathering and analyzing market insights are difficult, time-consuming, and expensive. Slow market research leads to irrelevant data and delayed ideas.
Key benefits of AWS generative AI
Improved efficiency and creativity
Improve productivity through automation of routine tasks such as content creation. Your team has enough time to cover all needs and focus on strategic questions.
Personalized customer experience
You can provide tailored recommendations and communication with customers. This will improve their engagement with your brand and loyalty.
Reduced need for extensive in-house expertise
Optimize the needs of hiring experts for your in-house team with generative AI. You can replace some positions or reduce the number of people required.
Timely data insights
Get an opportunity to analyze big datasets quickly and effectively. This will help you make informed decisions and offer actionable ideas.
Faster product development
Reduce the time-to-market of your products or their features. Due to quick prototyping and testing, you will be able to innovate faster.
Enhanced market position
Generate insights about your competitors and use this data to stay ahead of them. Gain a competitive advantage and attract more customers.
Case studies: successful AWS generative AI projects
Astrid
- Software Development
- 11-50 employees
- Sweden
J.Hilburn
- Retail Apparel and Fashion
- 51-200 employees
- Dallas, TX, USA
Work with a certified AWS Advanced Consulting Partner
Testimonials from our clients
The company has achieved a stable infrastructure with 99.99% uptime and has saved over 40% of costs. The team communicates perfectly and manages every aspect of DevOps. Above all, their readiness to help and openness to challenges impresses us the most.
Thanks to ITMagic’s platform, the quality and speed of services increased and coordination processes improved. We were impressed by the team’s responsiveness and resourcefulness. ITMagic’s team was experienced, knowledgeable, and communicative via Jira, Telegram, and video conferences.
The delivered system came out exactly as envisioned, giving the company some peace of mind regarding the safety of our client’s funds. ITMagic instituted an effective workflow, stayed accessible throughout, and addressed requests quickly. They were competent, reliable, and supportive.
Get started with IT-Magic’s AWS generative AI services
IT-Magic’s AWS generative AI services
AWS generative AI consultations
Our team will analyze your business needs to choose the best generative AI solution. We can also help with generative AI adoption and solution implementation.
AI model fine-tuning
We will fine-tune an open-source generative AI model with the required data. This will help to improve its performance in a certain industry (healthcare, legal services, etc).
Integration of generative AI on AWS
IT-Magic will integrate generative AI solutions into your existing workflows and infrastructures. We will ensure the system's top performance and service interoperability.
Infrastructure setup and deployment
We can design and set up an AWS infrastructure with generative AI services from scratch. It will be stable, scalable, secure, and built according to best practices.
AI model deployment and scaling
Our team will deploy open-source AI models from Hugging Face Hub, scale them, and provide updates. This will keep models accurate and optimized.
AI model compliance and security
IT-Magic will ensure the compliance and security of open-source AI models during deployment. This will protect sensitive data from third-party services like OpenAI.
Why choose IT-Magic?
Proven track record
IT-Magic has worked with 150+ clients from various domains since 2010. This extensive experience has brought an industry-specific understanding of business needs. We know what our clients want and how to reach these objectives. IT-Magic tries to be up-to-date with generative AI technology development. We review our services and solutions as AI technologies advance.
20+ AWS certifications
IT-Magic is a certified AWS Advanced Consulting Partner. We have 20+ AWS certifications including AWS Certified AI Practitioner. Our team doesn’t stop at this level. We continue improving our knowledge and enriching our experience. This allows us to find the most efficient AWS solution based on the client’s requirements.
14 years - the average experience of our IT specialists
IT-Magic employs only experienced professionals. There are no junior engineers in our team. This is our strategy to ensure the efficient use of resources and deliver better results. We entrust serious tasks to the most skilled AWS engineers while middle specialists do regular assignments. Our AWS generative AI services are guided and provided by senior experts.
Industry-leading SLA
IT-Magic is a company that takes obligations seriously. That is why we stick to service-level agreements. Our usual practice is to react to emergency calls within 5 minutes and fix critical issues within 30 minutes. We have worked with a few incidents since 2010. However, 100% of them have been resolved within SLA and with minimal damage to our clients.
AWS tools and frameworks we use
Amazon Q
It helps to create conversational agents and chatbots with advanced natural language understanding. Businesses can customize this AWS generative AI service to suit their specific needs.
Amazon Bedrock
This service provides easy and cost-effective access to industry-leading LLM models from top AI companies. You can use it for text or image generation, and other similar tasks.
Amazon SageMaker
This service is used to deploy, train, and fine-tune machine learning models. SageMaker simplifies the process of machine learning integration into applications. It also provides access to a wide range of pre-trained models.
OpenSearch Vector Search
Vector Search finds similarities in texts, images, and other data. It is ideal for recommendation systems, personalized search, natural language understanding, and RAG.
Amazon Transcribe
This is a service that recognizes and converts spoken language into written text. It can transcribe audios and videos. Amazon Transcribe supports many languages, can identify speakers, and has a custom vocabulary.
Amazon Polly
This is a service that converts written text into spoken audio. It can produce natural-sounding speech in many languages and voice styles. Amazon Polly is great for creating accessible content for learning and entertainment.
Amazon Textract
This service automatically extracts text, handwriting, and data from scanned documents. It can identify structured information like forms and tables. Amazon Textract allows the conversion of paper-based information into digital data easily.
Amazon Rekognition
This service analyzes images and videos. It can recognize faces, detect objects, extract texts, and moderate content. This way, businesses are able to gain insights from visual data.
Industry applications of AWS generative AI
Retail and e-commerce
AWS generative AI will enhance customer experience, increase sales, and optimize inventory management. It is used for personalized product recommendations, content generation, inventory predictions, and chatbots.
Fintech
AWS generative AI will improve your decision-making, efficiency, and compliance with regulations. AI-based solutions can generate reports, form algorithms, evaluate risks, personalize advice, and detect fraud.
Healthcare
AWS generative AI will advance your diagnostics, patient care, and processes of administration. You can use it for report generation, patient data analysis, and treatment personalization.
Education
AWS generative AI will upgrade learning for students and cut the load from administrative tasks. It can personalize materials, create automated grading or assessment tools, and generate educational content.
Other AWS services
AWS infrastructure audit
You can receive an in-depth assessment of your AWS resources. We will check system security, cloud costs, backup strategies, and fault tolerance. Our approach identifies any misconfigurations and offers ways to enhance your infrastructure. Due to such audits, you can see and manage risks, optimize resource usage, and ensure optimal performance for your AWS environment.
AWS migration services
Migration to AWS gives you access to a wide range of tools, services, and geographic locations. This also means enhancing system security and simply using the leading cloud platform. IT-Magic specializes in moving infrastructures from any other cloud service or on-premises servers. We’ll set up all essential processes and operations to ensure your system runs smoothly.
AWS infrastructure support services
The most robust and secure AWS infrastructures still need ongoing support. Given the rapid changes in business and technology, staying responsive is essential. With AWS support services, your system will remain accessible, resilient, and fault-tolerant. You’ll receive timely updates, enhancements, and continuous monitoring and maintenance. Our team supports AWS infrastructure through various plans created to meet industry-specific SLAs.
AWS security consulting services
You can improve infrastructure security with the help of our certified AWS experts. Your architecture security will be set up according to best practices, industry requirements, and compliance standards such as PCI DSS or HIPAA. We also build a comprehensive infrastructure security strategy. It will help you prevent, identify, and respond to common threats.
Well-Architected Framework review
A WAF review is an AWS architecture evaluation against six essential pillars. These are operational excellence, security, reliability, cost optimization, performance efficiency, and sustainability. Our certified AWS experts will define your setup's strengths and weaknesses. They will also list areas that can be improved. Following the review, they will provide actionable recommendations to address the identified issues.
AWS Reseller
IT-Magic is an official reseller of AWS services. This gives our customers a great opportunity to simplify their AWS experience. We can handle your billing and offer support, consulting, and comprehensive AWS solutions. By purchasing AWS services through us, you’ll benefit from our expertise and enjoy a 2% discount on resources, which may increase to 4-5% as you scale.
AWS consulting services
Use our 14+ years of experience and expertise through our personalized consulting services. Talk with our leading specialists and ask any questions about AWS and your business. We can conduct a comprehensive system analysis and provide a detailed report on recommended enhancements and cost-saving strategies. Our team aims to find the ideal AWS solution tailored to your unique business needs.
AWS DevOps services
IT-Magic is ready to assist you with AWS DevOps services that implement best practices and use advanced technologies. We specialize in establishing CI/CD processes, microservices architecture, and infrastructure as code. You'll enjoy quicker product delivery, enhanced team collaboration, and increased system reliability. These elements form the foundation of a robust AWS infrastructure.
Kubernetes support services
A well-managed containerized infrastructure offers many advantages. That's why we provide comprehensive Kubernetes support services. Amazon EKS has proven to be reliable in various AWS systems, including our projects. This service will enhance your automation, scalability, performance, and deployment speed. EKS integrates with other AWS services, and we can help you maximize its potential.
AWS managed services
Hire IT-Magic to manage your AWS infrastructure effectively. You can rely on our knowledgeable and experienced AWS architects and DevOps engineers. They are prepared to handle your AWS system’s configuration, monitoring, and maintenance. Let us take charge and you'll have more time to focus on strategic initiatives for your business. This will lead to improved outcomes in shorter terms.
FAQ
What are AWS generative AI services?
Generative AI services are technologies that create new content by using artificial intelligence. Based on input data, they can generate various types of content. These can be images, texts, video, music, audio, and 3D models. Generative AI services integrate with applications and have customization possibilities.
Generative AI services are helpful in various industries. They save time and resources while enhancing creativity and innovation.
How can IT-Magic help implement generative AI solutions for my business?
Here are some ways in which we can assist:
- Analyze business needs, identify potential use cases, and select the right AWS services.
- Design and build custom architectures that use AWS generative AI services.
- Integrate generative AI with the business’s software systems, workflows, and data storage solutions.
- Provide training sessions to internal teams on the implemented generative AI solutions.
- Ensure that generative AI solutions comply with industry regulations and security standards
- Help optimize and manage costs associated with running generative AI applications.
- Advise on new use cases of generative AI and innovation opportunities.
What types of AI models can be developed using AWS?
AWS can be used in a wide range of applications as it offers services for various types of AI models. The key types are:
- Natural Language Processing models. Used for text classification and generation, Named Entity Recognition, chatbots, and conversational agents.
- Computer vision models. They do image classification and segmentation, object detection, and facial recognition.
- Generative models. They are used for text, image, or audio generation.
- Time series forecasting models. They predict future values based on historical data.
- Recommendation systems. They suggest products or content based on user behavior.
- Anomaly detection models. They identify unusual patterns or outliers in data.
- Speech recognition models. They convert spoken language into text.
Custom Machine Learning models. Created for specific requirements using AWS SageMaker to develop, train, and deploy them.