Recently Gartner announced Azure Cloud AI Services as the Leader and the most visionary at the 2022 Magic Quadrant Cloud AI report.
Azure AI leading the industry because of easy to use platform, opensource AI integration, security, privacy, transparency, explainability, responsible use of AI, scalability and various integration capabilities.
Here is a quick overview of Azure AI Services,
Magic Quadrant report 2022: https://lnkd.in/e9YeNV4H
AI Model Development Platform: https://lnkd.in/e84fumqQ
Azure Machine Learning Architecture & Concepts: https://lnkd.in/ebcEEE-M
Model Deployment (MLOps): https://lnkd.in/euyPM3JM
Model Monitoring & Data Drift: https://lnkd.in/eWYDcysZ
Responsible AI Development: https://lnkd.in/ebnNMACE & Requirements: https://lnkd.in/eFZvtF6f
Azure AutoML Platform: https://lnkd.in/esqR6aBh
Computer vision model development using custom vision transfer learning: https://lnkd.in/eBnrHKAV
Automated Data Labelling for training purpose: https://lnkd.in/emrXg9u8 & https://lnkd.in/e8BtPJRj
Multi-Cloud AI platform building: https://lnkd.in/ejmwjF7d
Pre-Built AI Services:
Cognitive services on Speech, language, vision, decision, openAI https://lnkd.in/eqpRkwBY
Azure Applied AI Services on Bot, Form Recognized, Cognitive Search, Metrics Advisor, Video Indexer: https://lnkd.in/ewjWpgDx
Github Co-Pilot, AI Pair programming for developers: https://lnkd.in/eYAa4JPd
Azure OpenAI Services, large scale AI models for applied use cases: https://lnkd.in/eARPzMhP
Project Bonsai, AI for applied engineering: https://lnkd.in/e5cSgddq
Easy to use tool to use AI models in real world for RPA (Robotic Process Automation): https://lnkd.in/ee3-6f_Y
To learn more about Azure AI tools: https://lnkd.in/eGNTBNQC
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