Loading…
AI DevSummit 2025 + DeveloperWeek Leadership 2025
Company: Machine Learning clear filter
Wednesday, May 28
 

11:30am PDT

PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday May 28, 2025 11:30am - 11:55am PDT
Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.
Speakers
avatar for Jiahui (Sophia) Bai

Jiahui (Sophia) Bai

Data Scientist Lead, Meta
Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →
Wednesday May 28, 2025 11:30am - 11:55am PDT
AI DevSummit Main Stage

3:30pm PDT

PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 

AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday May 28, 2025 3:30pm - 3:55pm PDT
AI DevSummit Main Stage
 
Thursday, May 29
 

1:00pm PDT

PRO Session: Numaflow: Powering Scalable Inference on Real-Time Data Streams at Intuit
Thursday May 29, 2025 1:00pm - 1:25pm PDT
Sri Harsha Yayi, intuit, Staff Product Manager
Vigith Maurice, Intuit, Principal Engineer


At Intuit, the ML teams encountered challenges when managing and executing inference on high-throughput streaming data. Integrating with diverse messaging systems like Kafka, Pulsar, and SQS required considerable effort, while enabling intermediate data transformations and inference added complexity. Additionally, dynamically scaling inference workflows to handle fluctuating event volumes posed unique challenges.

To address these issues, we developed Numaflow, an open-source, Kubernetes-native platform designed for scalable event processing. Numaflow simplifies connections to various event sources, empowers teams to process and infer on streaming data with ease, and integrates effortlessly with existing infrastructure. This session is ideal for ML engineers, data scientists, and anyone interested in asynchronous inference on streaming data. We’ll dive into how Numaflow eliminates bottlenecks and optimizes inference on streaming data.
 
Speakers
avatar for Vigith Maurice

Vigith Maurice

Principal Engineer, Intuit
Vigith is a co-creator of Numaproj and Principal Software Engineer for the Intuit Core Platform team in Mountain View, California. One of Vigith's current day-to-day focus areas is the various challenges in building scalable data and AIOps solutions for both batch and high-throughput... Read More →
avatar for Sri Harsha Yayi

Sri Harsha Yayi

Staff Product Manager, Intuit
Sri Harsha Yayi is a Product Manager at Intuit, where he primarily focuses on the company's Modern SaaS Kubernetes platform, specifically within the real time event processing domain. He is the PM for Numaflow, an open-source, Kubernetes native platform designed for the real time... Read More →
Thursday May 29, 2025 1:00pm - 1:25pm PDT
AI DevSummit Main Stage
 
Wednesday, June 4
 

11:30am PDT

[Virtual] PRO Session: The Future of AI-Driven Discovery: Can We Build Recommendation System That Inspire, Not Just Retain?
Wednesday June 4, 2025 11:30am - 11:55am PDT
Jiahui (Sophia) Bai, Meta, Data Scientist Lead

This talk explores the evolving role of AI-powered recommendation systems in shaping content discovery, moving beyond engagement-driven optimization to fostering meaningful exploration. Today’s recommendation algorithms are finely tuned to maximize user retention, often reinforcing content bubbles and favoring already-popular creators. While effective for keeping users engaged, this approach can limit exposure to new ideas, diverse voices, and serendipitous discovery—key elements that make digital platforms more enriching and dynamic.

We begin by defining the core challenges of AI-driven content recommendations: noisy engagement signals, over-reliance on short-term behavioral data, and algorithmic bias toward dominant content and creators. We explore how improving signal quality—by distinguishing between passive consumption and genuine interest—can lead to more personalized yet diverse recommendations. Next, we tackle the issue of democratizing reach, discussing algorithmic strategies that ensure small and emerging creators have a fair chance to break through without compromising user satisfaction.

The session will also cover rethinking success metrics for recommendation systems, moving beyond click-through rates and watch time to metrics that measure content diversity, long-term engagement, and user well-being. Finally, we will discuss the future of AI-driven discovery, including the role of Generative AI, hybrid human-AI curation, and serendipity-focused models in creating recommendation systems that inspire, inform, and surprise users—rather than just retaining them.
Speakers
avatar for Jiahui (Sophia) Bai

Jiahui (Sophia) Bai

Data Scientist Lead, Meta
Sophia Bai is a Senior Data Scientist at Meta, specializing in AI-driven recommendation systems and product analytics. She has led key initiatives in improving signal quality, optimizing content discovery, and redesigning recommendation models to create more balanced and engaging... Read More →
Wednesday June 4, 2025 11:30am - 11:55am PDT
VIRTUAL AI DevSummit Main Stage

3:30pm PDT

[Virtual] PRO Session: The AIOps Revolution: Transforming Database Management with AI and ML
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
Anil Inamdar, NetApp Instaclustr, Global Head of Data Services 


AIOps—having experienced the ups and downs of the hype cycle over the past few years—is now buoyed by rapid AI/ML advances and destined to reach its potential in 2025 and beyond. This means transformative change for how teams think about data and analytics, as maturing ML-powered (and open source) solutions take on and mitigate the complexities of database management. Teams doing their human-best to achieve performant queries through data traffic pattern analysis and keeping tabs on storage growth can now be more confidently helped by ML decision-making.

The AIOps dream is inevitable as ML training sets improve. Automated operations and predictive remediation, including optimized data indexes, reindexing and storage management based on predictive models, is arriving—and this AI DevSummit talk will discuss how to make it all a reality.
Speakers
avatar for Anil Inamdar

Anil Inamdar

Global Head of Data Services, NetApp Instaclustr
Anil Inamdar is the Global Head of Data Services at NetApp Instaclustr. Anil has 20+ years of experience in data and analytics roles. Joining Instaclustr in 2019, he works with organizations to drive successful data-centric digital transformations via the right cultural, operational... Read More →
Wednesday June 4, 2025 3:30pm - 3:55pm PDT
VIRTUAL AI DevSummit Main Stage
 
Thursday, June 5
 

1:00pm PDT

[Virtual] PRO Session: Numaflow: Powering Scalable Inference on Real-Time Data Streams at Intuit
Thursday June 5, 2025 1:00pm - 1:25pm PDT
Sri Harsha Yayi, intuit, Staff Product Manager
Vigith Maurice, Intuit, Principal Engineer


At Intuit, the ML teams encountered challenges when managing and executing inference on high-throughput streaming data. Integrating with diverse messaging systems like Kafka, Pulsar, and SQS required considerable effort, while enabling intermediate data transformations and inference added complexity. Additionally, dynamically scaling inference workflows to handle fluctuating event volumes posed unique challenges.

To address these issues, we developed Numaflow, an open-source, Kubernetes-native platform designed for scalable event processing. Numaflow simplifies connections to various event sources, empowers teams to process and infer on streaming data with ease, and integrates effortlessly with existing infrastructure. This session is ideal for ML engineers, data scientists, and anyone interested in asynchronous inference on streaming data. We’ll dive into how Numaflow eliminates bottlenecks and optimizes inference on streaming data.
 
Speakers
avatar for Sri Harsha Yayi

Sri Harsha Yayi

Staff Product Manager, Intuit
Sri Harsha Yayi is a Product Manager at Intuit, where he primarily focuses on the company's Modern SaaS Kubernetes platform, specifically within the real time event processing domain. He is the PM for Numaflow, an open-source, Kubernetes native platform designed for the real time... Read More →
avatar for Vigith Maurice

Vigith Maurice

Principal Engineer, Intuit
Vigith is a co-creator of Numaproj and Principal Software Engineer for the Intuit Core Platform team in Mountain View, California. One of Vigith's current day-to-day focus areas is the various challenges in building scalable data and AIOps solutions for both batch and high-throughput... Read More →
Thursday June 5, 2025 1:00pm - 1:25pm PDT
VIRTUAL AI DevSummit Main Stage
 

Share Modal

Share this link via

Or copy link

Filter sessions
Apply filters to sessions.