Koyelia
Ghosh Roy
Sr AVP - Enterprise BI Capability and Generative AI Solution Owner at EXL Services
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
Wed May 21 - 5:30 AM EDT/New York (See in local time)
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05/21/2025 5:30 AM
05/21/2025 05:50 AM
America/New_York
#WTGC2025
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
#WTGC2025
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
"Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability"
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Session: Building Responsible and Resilient AI Products: Best Practices for Scalability and Explainability
- Introduction to AI Product Management: Overview of the importance of building scalable, explainable, and secure AI products in today's digital landscape.- Focus on Scalability: Discuss strategies for designing AI solutions that can grow with user demands and technological advancements.
- Ensuring Explainability: Highlight the significance of making AI decisions transparent and understandable to users, fostering trust and usability.
- Security Considerations: Address best practices for incorporating security measures into AI products to protect data and maintain compliance.
- Responsible AI Development: Explore the ethical implications of AI technologies and the importance of developing products that are socially responsible.
- Maintenance Cost Management: Provide insights into managing the long-term costs associated with maintaining AI solutions while ensuring performance and reliability.
- Real-world Examples: Share case studies that illustrate successful implementations of these best practices in AI product management.
- Interactive Q&A: Engage attendees in a discussion to address their specific challenges and insights related to building effective AI products.
This talk aims to equip product managers with actionable strategies for creating impactful AI solutions that are not only effective but also responsible and resilient.
Key Takeaways
- Understanding the RICEA Framework: Attendees will learn how to effectively utilize the RICEA framework (Reach, Impact, Confidence, Effort, AI Complexity) to prioritize AI product initiatives.
- Strategies for Scalability: Insights into best practices for designing AI solutions that can scale with user demands and adapt to technological advancements.
- Importance of Explainability: Emphasis on making AI systems transparent and understandable to enhance user trust and usability.
- Security in AI Products: Discussion on incorporating robust security measures in AI product development to protect data and ensure compliance.
- Responsible AI Development: Exploration of sustainable considerations in AI, focusing on creating socially responsible products that benefit the community.
Bio
Koyelia Ghosh Roy exemplifies innovative product leadership, merging AI and Business Intelligence (BI) to drive efficiency and strategic decision-making while advocating for diversity and mentoring future tech leaders. With a career spanning over 20 years, she has continually upgraded her skills from business analyst to data engineer and AI solution architect. Koyelia's visionary leadership has led to the development of advanced products like Conversational BI and Generative AI solutions, significantly enhancing organizational efficiency.Her commitment to community engagement is evident through her mentorship in AI hackathons, where her projects have received recognition, including integration into Nir Diamont's esteemed GitHub repository. Koyelia has been honored with the EmpowerHer Access Award by Women in Cloud for her contributions to empowering women in technology. Additionally, she has spoken at various forums, sharing insights on Generative AI and advocating for best practices.
As an Ambassador for Women in Cloud in India, Koyelia champions sustainable technology solutions and participates in ESG-focused initiatives. Her leadership has resulted in improved customer experiences, operational efficiencies, and cost reductions across organizations.
