Uploaded on Nov 23, 2024
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Microsoft Azure AI-102 Certification Online Training in Hyderabad
Key Cogniititive Serviices Offffered by
Azure AII and Theiir Use Cases
Introduction to Azure Cognitive Services
What are Azure Cognitive Services?
A suite of AI services designed to enable developers to integrate AI into
applications.
Key Categories: Vision, Speech, Language, Decision, and OpenAI
capabilities.
Objective: Simplify AI integration without the need for deep data
science expertise.
Vision Services
Services:
Computer Vision: Image analysis, object detection, OCR.
Face API: Face detection, recognition, and emotion analysis.
Custom Vision: Train custom image classification models.
Use Cases:
Automating invoice processing (OCR).
Enhancing photo applications with facial filters.
Retail analytics (footfall analysis).
Speech Services
Services:
Speech-to-Text: Convert spoken language into text.
Text-to-Speech: Generate natural-sounding speech from text.
Speaker Recognition: Authenticate users through voice.
Use Cases:
Call centre transcriptions.
Voice-enabled chatbots.
Security systems using voice recognition.
Language Services
Services:
Translator: Real-time translation of text or speech.
Language Understanding (LUIS): Build custom natural language
understanding models.
Text Analytics: Sentiment analysis, entity recognition, key phrase
extraction.
Use Cases:
Multilingual customer support.
Sentiment monitoring on social media.
Intelligent document processing.
Decision Services
Services:
Personalizer: Deliver personalized user experiences.
Content Moderator: Moderate text, images, and videos
for inappropriate content.
Anomaly Detector: Detect anomalies in time-series data.
Use Cases:
Personalized product recommendations.
Automated moderation for online communities.
Fraud detection in financial transactions.
OpenAI and Cognitive Search
OpenAI Service: Access advanced language
models like GPT for generating human-like text.
Use Cases: Chatbots, content creation, and
summarization.
Azure Cognitive Search: AI-powered search
capabilities with natural language processing.
Use Cases: Knowledge bases, enterprise search,
e-commerce search optimization.
Real-World Applications
Healthcare: Patient diagnosis assistance
using medical image analysis.
Retail: Customer behavior analysis and
personalized marketing.
Education: AI tutors and language
translation for global classrooms.
Financial Services: Fraud detection and
automated customer interactions.
Conclusion and Next Steps
Key Takeaways:
Azure Cognitive Services offer plug-and-play AI
capabilities.
Applicable across industries to improve efficiency and
user experience.
Call to Action:
Explore Azure Cognitive Services in your applications.
Try out the free tier and experiment with APIs.
CONTACT
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Visit: www.visualpath.in
E-Mail: [email protected]
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