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-- Tech enthusiasts from ALL experience levels are welcome --
Azure Cognitive Search (previously known as "Azure Search") is a cloud search service that provides developers with infrastructure, APIs, and tools for creating powerful search experiences in web, mobile, and business applications over private, heterogeneous material.
Any program that displays text material to consumers relies on search, with popular situations including catalog or document search, shopping, and more.
When you create a search service, you'll work with the following capabilities:
A search engine for full-text search with storage for user-owned content in a search index
Rich indexing, with text analysis and optional AI enrichment for advanced content extraction and transformation
Rich query capabilities, including simple syntax, full Lucene syntax, and typeahead search
Programmability through REST APIs and client libraries in Azure SDKs for .NET, Python, Java, and JavaScript
Azure integration at the data layer, machine learning layer, and AI (Cognitive Services)
Speaker :( / compuwizpiyu )
Priyanka is a Microsoft MVP for AI, with 10 + years of experience in analysis, design, and development of client/server, web-based, and n-tier applications in both Java and C#.net technologies as well as UI Frameworks like Angular, Mobile development with NativeScript, etc.
Speaker at Microsoft and other technical events for Microsoft Technology stack and ML.NET, Conversation AI, Bot Framework, Azure Cognitive services like speech to text, Face recognition, Custom vision.
Working with Fund managers in Data Science and Analytics with Python, ML.NET, web scraping tools and methodologies for sentiment analysis, sales predictions, etc.
Currently leading innovation technology team with projects architected with Elastic Search, Bot framework, text analytics, spam detection, machine learning algorithms related to neural word embedding, topic modeling like word2vec, LSTM for text completion, auto caption generation. Solution architect for microservices deployed with Azure Kubernetes cluster, Signal R, Azure Cognitive services, and more. An active blogger on AI/ML topics.
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