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Dynamics 365 Community / Blogs / Microsoft Dynamics CRM 365/2016/2015/2013/4 Trails / Unveiling the Future of AI ...

Unveiling the Future of AI Microsoft NY AI Tour 2025

Fameeda Yaseen Profile Picture Fameeda Yaseen 417

In January 2025, I had the privilege of attending the Microsoft NY AI Tour. The event was buzzing with discussions about artificial intelligence (AI), with each speaker and workshop offering unique perspectives. Choosing among the various sessions was challenging due to the sheer variety of topics and the excitement in the air—truly a case of “The Elephant in the Room.”
Through these workshops, I gained invaluable insights into how Microsoft is shaping AI to transform business operations.
Key Highlights from the Tour
Microsoft has launched an impressive array of resources for AI development, including:
  • Over 1,800 AI models available on GitHub, including the much-discussed DeepSeek.
  • Numerous no-code and low-code apps.
  • Tools to work with 1,400+ plugins on Copilot Studio.
  • Upgrades to Microsoft Fabric, enabling seamless data integration from diverse sources like text and images. Fabric empowers even non-technical users to build “lakehouses” of information by writing queries using Copilot prompts.
These innovations allow developers to connect and train massive datasets from various systems—ERP, CRM, HR, or custom databases—to build tailored large-language models in real time.
The Future of AI: Transforming Human Interaction
Speakers at the tour emphasized how AI is poised to revolutionize human life and business operations. Through Microsoft’s Learning Hub, consumers can extend their AI capabilities by accessing:
A major focus was on agents. Workshops demonstrated how AI agents could replace repetitive tasks, such as placing orders, processing payrolls, and crafting business pitches. Microsoft’s platform—Learn. Code. Create. —offers step-by-step guides, enabling anyone, even non-technical individuals, to build their own AI agents. This democratization of AI is a game-changer for businesses and individuals alike.
AI Development Platforms Highlighted During the Workshops
1. Copilot Studio (Low/No-Code Platform)
Enables users to rapidly build and deploy AI solutions without extensive coding expertise.
  • Drag-and-drop interface for creating AI workflows.
  • Seamless integration with Microsoft tools like Power Platform and Office 365.
  • Pre-built templates for common use cases such as customer service chatbots and automated data analysis.
https://carstengroth.wordpress.com/wp-content/uploads/2024/03/overview-microsoft-copilot-studio.png?w=1024
Research Highlight: GitHub Copilot, showcased in collaboration with KPMG, boosts developer efficiency by 20-30% during unit testing, leading to more robust software.
2. Azure AI (Full-Code Platform)
Provides developers with maximum flexibility and control for creating custom AI solutions.
  1. Extensive Model Library: Access to over 1,800 pre-built data models, including advanced models like DeepSeek.
  2. Custom AI Development: Tools for designing, training, and deploying tailored solutions.
  3. Integration Capabilities: Seamless compatibility with other Azure services.
  4. Advanced Tools: Support for natural language processing, computer vision, and analytics for diverse AI applications.
https://carstengroth.wordpress.com/wp-content/uploads/2024/03/overview-azure-ai-studio.png?w=1024
3. Azure AI Foundry
Focuses on simplifying the piloting, scaling, and operationalization of AI projects.
  • An Azure AI Foundry SDK which enables developers to work with robust pre-built components and leverage pre-built app templates.
  • Advanced tools for training and fine-tuning large language models (LLMs).
  • Real-time AI model orchestration.
  • Integration with Azure Machine Learning and Azure OpenAI Service.
  • Support for hybrid cloud setups.

4. Generative AI Studio
Tailored for creating and managing custom generative AI models for tasks like text generation, summarization, and creative content creation.
  • Pre-trained generative AI models, customizable for specific industries.
  • Multi-modal capabilities for handling text, images, and speech.
  • Collaboration tools for iterative improvements on AI-generated outputs.
5. Microsoft Fabric AI Integration
A unified platform that simplifies AI tool and service integration, enhancing productivity and collaboration.
  • Unified platform for AI-driven data visualization and reporting.
  • Deep integration with Microsoft Synapse and Azure Data Lake.
  • Automated ETL (Extract, Transform, Load) pipelines for streamlined workflows.
Conclusion
The Microsoft AI Tour in NYC underscored the growing importance of AI in today’s business landscape. From AI-powered security solutions to AI-driven software development, Microsoft showcased how companies can leverage these technologies for a competitive edge. For businesses looking to stay ahead, investing in AI training, consulting, and integration is no longer optional—it’s essential.
Microsoft is introducing powerful AI solutions, and businesses of all sizes should take notice. To stay competitive, it’s essential to engage with software vendors, invest in training, explore available resources, and, if needed, consult experts. One thing is certain: the most forward-thinking competitors will be leveraging these advancements.

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