Ananya Ghosh Chowdhury
Microsoft, Senior Cloud Solution Architect, Data and AI
Seattle, Washington, United States
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As a Senior AI Leader at Microsoft, Ananya Ghosh Chowdhury spearheads strategic initiatives and designs solutions that empower businesses to leverage advanced analytical and innovative AI technologies. With over 10 years of experience in data science, machine learning, data engineering, software engineering, and cloud technologies, Ananya brings a wealth of expertise to her role.
Committed to responsible AI adoption, Ananya is one of the few selected members worldwide as an AI 2030 Responsible AI Evangelist, an initiative aimed at mainstreaming responsible AI practices in transparency, fairness, and sustainability. She is also a council member of the AI Xecutive Council, an elite community of visionary leaders pioneering paths toward an AI-powered future. She actively mentors startups, entrepreneurs, and investors, and contributes to Women in Data Science (WiDS) as a mentor. Additionally, she creates technical content to share her insights.
Ananya is a member of the Harvard Business Review Advisory Council, a prestigious Marquis Who's Who Listee, and a member of the IEEE Computational Intelligence Society, reflecting her commitment to continuous learning and growth. As a Data and AI leader at Microsoft, she excels in driving AI innovation within the retail sector, leading transformative AI strategies and demonstrating her technical expertise and deep understanding of retail challenges. Ananya advises organizations on using AI and advanced analytics to revolutionize their strategies, positioning herself as a key advisor in helping businesses achieve their goals through tailored AI solutions.
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Open Data Science Conference West 2024
Streamlining AI Operations: Leveraging Azure AI Studio for GenAIOps
: This session provides a comprehensive overview of the capabilities and features of Azure AI Studio, a platform that empowers organizations to build and deploy AI solutions with ease, leveraging cutting-edge AI tools and models. It also highlights the full development lifecycle, from model cataloging and prompt flow to GenAIOps along with safe & responsible practices. By the end of the demo, attendees will have a clear understanding of how Azure AI Studio can help developers build generative AI solutions and custom copilots.
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