TEMUKAN, HUBUNGKAN, TUMBUH
Reaktor Microsoft
Bergabunglah dengan Microsoft Reactor dan terlibat dengan startup dan pengembang secara langsung
Siap untuk mulai menggunakan AI? Microsoft Reactor menyediakan acara, pelatihan, dan sumber daya komunitas untuk membantu startup, wirausahawan, dan pengembang membangun bisnis mereka berikutnya pada teknologi AI. Bergabunglah dengan kami!
TEMUKAN, HUBUNGKAN, TUMBUH
Reaktor Microsoft
Bergabunglah dengan Microsoft Reactor dan terlibat dengan startup dan pengembang secara langsung
Siap untuk mulai menggunakan AI? Microsoft Reactor menyediakan acara, pelatihan, dan sumber daya komunitas untuk membantu startup, wirausahawan, dan pengembang membangun bisnis mereka berikutnya pada teknologi AI. Bergabunglah dengan kami!
Introduction to Microsoft Azure Cognitive Services and Knowledge Mining
24 Februari, 2022 | 8.00 PM - 9.00 PM (UTC) Waktu Universal Terkoordinasi
Topik: Pengembangan Cloud
Bahasa: Inggris
This session will cover an overview of all the Microsoft Cognitive Service pillars as well as Knowledge Mining scenarios. We will dive deeper into Azure Search and its integration with Cognitive Services through key phrase extraction, sentiment analysis, and more.
00:57 Reactor opening
02:10 Speaker Welcome
03:27 Intro to presentation
04:37 Overview of Cognitive Services
23:57 Knowledge Mining and Use Cases
24:24 DEMO: Cognitive Search with Cognitive Services
43:21Recap & resources - https://aka.ms/AzureCSKM
44:10 Questions
48:45 Reactor outro
Follow this link for access to the presentation, free learn modules, and additional resources: https://aka.ms/AzureCSKM
Speaker:
Devanshi Thakar is a Cloud Solutions Architect at Microsoft focusing on AI and Analytics technologies. She is passionate about Azure's Cognitive Services and utilizes the five pillars of these services in many partner solutions and across various industries. Her role as a CSA is to understand partners' business priorities and help them design secure solutions. Devanshi obtained a degree in Computer Science at UCSC and is based in the Bay Area.