Transform your AI journey with cutting-edge “AWS Cloud” offerings. Our AWS AI services are designed to help your organisation accelerate the pace of innovation, sharpen your strategic decision-making with data-driven insights and achieve great levels of operational efficiency. By harnessing the integrated power of AI and machine learning on cloud platforms, you can transform your business operations and service delivery.

Overview

Adactin empowers your organisation to unlock transformative intelligence by leveraging the full spectrum of AWS AI services, cutting-edge AWS AI Stack, including powerful services like SageMaker, Bedrock, Lex, and Rekognition. We integrate the power of artificial intelligence directly into your applications, environment creating engaging personalised user experiences to unlock new levels of user interaction, automation, and valuable insights. We partner with you to automate complex business processes, derive profound insights from your data assets, and pioneer innovative solutions. These advancements will drive tangible business value, significantly enhance customer experiences, and secure your competitive edge in a rapidly evolving digital landscape.

Core Offerings

Intelligent Application Enhancement with AWS AI Services

Accelerate innovation by embedding pre-trained and custom AI capabilities into your applications.

• Infuse pre-built intelligence into applications using AWS AI Services.
  • Enable apps to understand text, perform sentiment analysis, extract key phrases, and translate languages using Amazon Comprehend, Amazon Translate.
  • Add capabilities to recognise objects, detect faces, read text in images, and analyse video content using Amazon Rekognition.
  • Integrate natural language processing for conversational interfaces and chatbots using Amazon Lex.
  • Utilise pre-trained models for anomaly detection, content moderation, and personalisation via Amazon Lookout for Metrics, AWS Content Moderation, and Amazon Personalise.
• Build advanced conversational experiences and generate creative content.
  • Develop sophisticated chatbots and virtual assistants using Amazon Bedrock (Anthropic, AI21, Titan).
  • Leverage generative AI models for content creation, summarisation, and code generation through Amazon Bedrock with foundation models from leading providers.
• Automate tedious document processing and data extraction.
  • Use Amazon Textract to automatically extract structured data from various document types like invoices and forms.
  • Implement intelligent workflows for document classification and information retrieval using Amazon Kendra.

Custom AI & Machine Learning Solutions with Azure Machine Learning Studio / Amazon SageMaker

Design, build, train, and deploy custom Machine Learning Models tailored to your unique data, enhanced personalisation, Insights and challenges:

• Manage the entire lifecycle of your custom AI models efficiently.
  • Utilise Amazon SageMaker Studio and MLOps practices for streamlined experimentation, training, and deployment.
  • Implement version control, lineage tracking, and model registry using Amazon SageMaker Model Registry.
• Train and deploy sophisticated AI models at scale.
  • Train complex deep learning and machine learning models using scalable compute instances via Amazon SageMaker Training Jobs and ML instances.
  • Deploy models to various targets, including real-time endpoints, batch processing, and edge devices with SageMaker Endpoints, AWS Greengrass.
• Build trustworthy and ethical AI systems from the ground up.
  • Incorporate Responsible AI tools within Amazon SageMaker Clarify for bias detection, model explainability, and fairness.
  • Implement privacy-preserving techniques such as differential privacy and secure multiparty computation with available toolkits on both platforms.

AI/ML Operations & Automation

Streamline the development, deployment, and management of AI solutions with DevOps principles.

Figure 2 AWS AI & ML Services

• Automate the machine learning model lifecycle with MLOps pipelines.
  • Set up CI/CD pipelines for model training, testing, and deployment using AWS CodePipeline, AWS CodeBuild, and SageMaker Pipelines.
  • Automate model retraining based on performance drift or new data availability using both SageMaker Model Monitor.
• Ensure continuous monitoring and optimisation of deployed AI models.
  • Implement model monitoring to track performance metrics, data drift, and concept drift using Amazon SageMaker Model Monitor.
  • Set up alerts and automate triggers for retraining or redeployment across AWS platform.
• Manage AI compute resources efficiently.
  • Utilise Amazon EC2/ SageMaker for scalable training and inference.
  • Optimise resource allocation and scaling policies using SageMaker Autopilot, EKS/EC2 autoscaling for cost-effective operations.

Figure 3 AWS AI, Dev and Ops Model

Managed AI Services & Ongoing Optimisation

Let us manage your AWS AI environments so you can focus on leveraging AI insights for business growth.

• Ensure continuous operation with proactive monitoring and support for your AI solutions.
  • Provide 24/7 monitoring of deployed models, infrastructure, and data pipelines using Amazon CloudWatch, AWS X-Ray.
  • Offer expert support for troubleshooting and resolving issues related to your AI deployments across both platforms.
• Maximise your AI ROI through ongoing performance tuning and cost optimisation.
  • Analyse model performance and resource utilisation using AWS Cost Explorer, CloudWatch Logs.
  • Implement cost management strategies for AWS AI/ML services.
• Maintain model accuracy through managed lifecycle and optimisation.
  • Manage model retraining, versioning, and redeployment processes using SageMaker Pipelines, Model Registry.
  • Continuously evaluate model performance and implement improvements based on new data or techniques on either cloud platform.

AWS Tools and Services: Adactin will leverage comprehensive tools and services to assist through every stage of cloud readiness and migration based on the project. Here is a breakdown of key AI tools:

• Personalised Recommendations: Adactin will leverage SageMaker to build machine learning models that analyse user behaviour, browsing history, and purchase patterns to deliver highly relevant product recommendations, content suggestions, and offers, increasing engagement and conversions.
• Predictive Analytics for Business Insights: We will Utilise SageMaker to analyse data to predict future trends, optimise marketing campaigns, and gain valuable insights into user behaviour.
• Amazon Bedrock: Access Foundation Models for Generative AI Capabilities:
  • AI-Powered Content Generation: We will Integrate Bedrock’s powerful foundation models to generate creative content like website copy variations, blog post ideas, social media updates, and even personalised marketing messages, saving time and enhancing content creation.
  • Chatbots and Conversational AI: While Lex focuses on conversational interfaces, Bedrock can provide the underlying large language models to power more sophisticated and context-aware chatbot interactions 
  • Summarisation and Text Analysis: Utilise Bedrock models to automatically summarise long-form content, extract key information from user feedback, and analyse sentiment in customer reviews
• Amazon Lex: Build Intelligent Conversational Interfaces (Chatbots and Voice Bots):

• Interactive Customer Support Chatbots: Adactin will Implement AI-powered chatbots using Lex to provide instant answers to frequently asked questions, guide users through processes, and offer 24/7 customer support, improving customer satisfaction and reducing support costs.
• Voice-Enabled Website Interactions: Explore the potential of voice interfaces powered by Lex, search for information, and even complete transactions using voice commands.
• Lead Qualification and Information Gathering: Adactin will design Lex-powered chatbots to engage visitors, gather relevant information, and qualify leads before routing them to your sales team.
• Personalised Onboarding and Guidance: We will create interactive chatbots to guide new users through your website’s features and provide personalised onboarding experiences.
• Amazon Rekognition: Integrate Intelligent Image and Video Analysis:
  • Enhanced Product Search with Visual Search: Allow users to search for products using images, leveraging Rekognition’s object detection and image similarity capabilities.
  • Content Moderation: Automatically detect inappropriate or unwanted content in user-uploaded images and videos
  • Facial Recognition for Personalised Experiences (with user consent and ethical considerations): In specific use cases (e.g., member portals), Rekognition can be used to personalise experiences based on facial recognition (with explicit user consent and adherence to privacy regulations).
  • Image and Video Analysis for Content Enrichment: Automatically tag and categorise images and videos, improving searchability and providing richer metadata for content recommendations.
  • Real-time Analytics from Video Streams (if applicable): If your website features live video streams (e.g., webinars, events), Rekognition can provide real-time analysis of objects, faces, and activities within the video.

Why Adactin?

Partnering with Adactin unlocks unmatched expertise and innovation tailored to your organisational needs.

• Proven track record delivering AI/ML solutions that transform operations and create new value.
• Certified AI & ML experts skilled in AWS AI Services, Amazon SageMaker, and Amazon Bedrock.
• Agile & collaborative partnership with iterative development and continuous client engagement.
• End-to-end AI services from strategic ideation and development to deployment and support.
• Focus on ensuring AI initiatives deliver measurable business outcomes and strong ROI.