AI - Tidal Wave

Overview

Discover the depths of Microsoft's Cloud AI Platform with an enlightening session by Joseph Sirosh. This comprehensive discussion delves into crucial topics like Cognitive Services, Bot Framework, and Machine Learning, offering practical insights into the deployment of AI in the enterprise environment.

Whether you're an AI enthusiast or a professional seeking to expand your knowledge base, this session provides valuable tools and perspectives.

Learn about the core algorithmic toolkits that are shaping the future of AI. Don't miss this opportunity to explore how Microsoft's innovations are making waves in the artificial intelligence landscape.

Syllabus

• Introduction to AI on the Cloud
Overview of Microsoft's Cloud AI Platform
Role and impact of AI in enterprises
• Cognitive Services
Vision APIs: Computer Vision, Face Recognition
Speech APIs: Speech Recognition, Text-to-Speech
Language APIs: Natural Language Processing, Text Analytics
Decision APIs: Personalizer, Anomaly Detector
• Bot Framework
Introduction to Conversational AI
Designing and Building Bots with Microsoft Bot Framework
Deploying and Managing Bots
Integrations with Cognitive Services
• Machine Learning on Azure
Introduction to Azure Machine Learning Studio
Data Preprocessing and Feature Engineering
Building, Training, and Deploying Models
Automated ML and Model Interpretability
• Enterprise AI Applications
AI-driven business transformation strategies
Use cases and industry-specific AI solutions
Challenges and best practices in deploying AI in enterprises
• Core Algorithmic Toolkits
Overview of algorithmic foundations in AI
Implementing algorithms using Python and Microsoft Tools
Case studies of algorithmic solutions
• Future Trends and Innovations in AI
Emerging AI technologies and Microsoft's role
Future of work and AI ethics
Innovations driving the next wave of AI solutions
• Course Conclusion
Summary of key learnings
Resources for further learning
Q&A and feedback session

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Subjects

Conference Talks