Adactin empowers your organisation to unlock transformative intelligence by leveraging the full spectrum of Microsoft Azure including Azure AI Foundry, Azure AI Services, and Azure Machine Learning Studio.

We partner with you to infuse intelligent capabilities directly into your applications, 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.

Overview

Our Microsoft Azure is 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 Azure, you can transform your business operations and service delivery.

Core Offerings

Intelligent Application Enhancement with Azure AI Services

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

• Infuse pre-built intelligence into applications using Azure AI Services 
• Enable apps to understand text, perform sentiment analysis, extract key phrases, and translate languages using Azure Text Analytics and Azure Translator.
• Add capabilities to recognise objects, detect faces, read text in images, and analyse video content using Azure Computer Vision and Face API
• Integrate natural language processing for conversational interfaces and chatbots using Azure Conversational Language Understanding (CLU) 
• Utilise pre-trained models for anomaly detection, content moderation, and personalisation via Azure Anomaly Detector and Content Moderator.

• Build advanced conversational experiences and generate creative content.
  

  • Develop sophisticated chatbots and virtual assistants using Azure AI Foundry.
  • Leverage generative AI models for content creation, summarisation, and code generation through Azure AI Foundry with foundation models from leading providers.

• Automate tedious document processing and data extraction.
  

  • Use Azure AI Document Intelligence to automatically extract structured data from various document types like invoices and forms.
  • Implement intelligent workflows for document classification and information retrieval using Azure AI Search.

Custom AI & Machine Learning Solutions with Azure Machine Learning Studio

Design, build, train, and deploy bespoke machine learning models tailored to your unique data and challenges.

• Manage the entire lifecycle of your custom AI models efficiently.
  

  • Utilise Azure Machine Learning Studio and MLOps practice streamlined experimentation, training, and deployment.
  • Implement version control, lineage tracking, and model registry using Azure ML’s model registry.

• Train and deploy sophisticated AI models at scale.
  

  • Train complex deep learning and machine learning models using scalable compute instances via Azure ML Compute Clusters.

• Deploy models to various targets, including real-time endpoints, batch processing, and edge devices with Azure ML Endpoints, IoT Edge.

Build trustworthy and ethical AI systems from the ground up.

• Incorporate Responsible AI tools within Azure ML for bias detection, model explainability, and fairness.
• Implement privacy-preserving techniques such as differential privacy and secure multiparty computation with available toolkits on Azure platforms.

AI/ML Operations & Automation

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

• Automate the machine learning model lifecycle with MLOps pipelines.
  

  • Set up CI/CD pipelines for model training, testing, and deployment using Azure DevOps, GitHub Actions.
  • Automate model retraining based on performance drift or new data availability using Azure ML triggers.

• Ensure continuous monitoring and optimisation of deployed AI models.
  

  • Implement model monitoring to track performance metrics, data drift, and concept drift using Azure ML Monitoring.
  • Set up alerts and automate triggers for retraining or redeployment across Azure platform.

• Manage AI compute resources efficiently.
  

  • Utilise Azure ML compute clusters for scalable training and inference.
  • Optimise resource allocation and scaling policies using Azure AutoML, Azure Kubernetes Service (AKS) for cost-effective operations.

Managed AI Services & Ongoing Optimisation

Let us manage your Azure 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 Azure Monitor and Log Analytics.
  • Offer expert support for troubleshooting and resolving issues related to your AI deployments.

• Maximise your AI ROI through ongoing performance tuning and cost optimisation.
  

  • Analyse model performance and resource utilisation using Azure Cost Management, ML Insights.
  • Implement cost management strategies for Azure AI /ML services.

• Maintain model accuracy through managed lifecycle and optimisation.
  

  • Manage model retraining, versioning, and redeployment processes using Azure ML Pipelines and MLOps.
  • Continuously evaluate model performance and implement improvements based on new data or techniques.

Why Adactin?

• Proven track record delivering AI/ML solutions that transform operations and create new value.
• Certified AI & ML experts skilled in Azure AI Foundry, Azure AI Services, and Azure Machine Learning.
• 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.

For more information or to discuss how our Microsoft Azure AI services can transform your business, contact Adactin’s Microsoft Technology Services team.