apply() Summer 2025
apply() 2025 brings machine learning builders and business leaders together to explore use cases, infrastructure, and best practices that deliver measurable ROI. Through deep technical sessions and real-world case studies—covering fraud detection, feature-store monitoring, real-time risk decisioning, and more—you’ll leave with proven methods to prevent fraud, accelerate experimentation, and scale ML in production.
Companies participating
Speakers
Mike del Balso
CEO and Co-Founder
Arnab Sinha
Field CTO | Solutions Architect
Dan Brock
VP of Customer Success
Akshaya Aradhya
VP of Engineering
Benjamin Orkin
VP of Engineering - MLOPS
Angela Strange
General Partner
Kevin Stumpf
Co-Founder / CTO
Aaron Gittleman
Machine Learning Engineer
Sergio Ferragut
Principal Developer Advocate
Isaac Cameron
TL, Resident Solutions Architect
Rohit Agrawal
Chief Architect
Agenda
July 23-2025
From Fraud to Foundation: Building a Unified AI Risk Platform with Real-Time Signals
Oscilar transformed siloed fraud models into a unified, real-time AI risk platform powering fraud, credit, onboarding, and compliance. Explore their architecture: Kafka, ClickHouse, and Tecton’s feature store with LLM-driven copilots. See how this cuts ops overhead, speeds up model deployments, and ensures explainable decisions.
Akshaya Aradhya
VP of Engineering
Building Next-Gen Fraud Detection with Sequence Features using Tecton and AWSArnab Sinha
Traditional fraud models analyze events in isolation, but modern attacks are sequential. Learn to build next-gen fraud detection using sequence features in Tecton and AWS ML infrastructure, and see a demo of real-time feature engineering and production deployment.
Arnab Sinha
Field CTO | Solutions Architect
Isaac Cameron
TL, Resident Solutions Architect
How North Built Real-Time Fraud Detection with Tecton and Snowflake
North, a major card processor, moved from rule-based to real-time ML fraud detection using Tecton and Snowflake. Learn to serve contextual features in <1 second, handle 10x traffic surges, and maintain training-serving parity at scale.
Ben Orkin
VP of Engineering - MLOPS
AI in Fintech: What's Working Now, and Where it's Going NextAngela Strange
Financial services and fintech companies are moving faster on AI than any other tech shift. A16z partner Angela Strange joins Tecton CEO and co-founder Mike Del Balso to explore how AI is creating 10x better solutions across fraud detection, compliance automation, and customer operations – transforming what’s possible in financial services.
Angela Strange
General Partner
Mike del Balso
CEO and Co-Funder
Agenda
July 24-2025
How Atlassian Accelerates ML Feature Engineering with Tecton and MCPAaron Gittleman
Atlassian powers intelligent ranking across Confluence, Jira, and Rovo with features like document view counts, freshness metrics, and social authority scores. See how Tecton’s MCP server accelerates feature development with SDK guidance and automated testing.
Aaron Gittleman
Machine Learning Engineer
Kevin Stumpf
Co-Founder / CTO
Proactive MLOps: Monitoring Feature Store Drift Before It Impacts Your ModelsDanny Brock
Stop waiting for model degradation alerts. Learn proactive monitoring that detects drift and data quality issues at the feature store level using Tecton and Fiddler. Catch problems hours before they impact users and business outcomes.
Dan Brock
VP of Customer Success
Sergio Ferragut
Principal Developer Advocate
From Your Notebook to Production with Ray
Tecton built ML infrastructure to support 10 trillion predictions using Ray. Learn why Ray enables seamless scaling, unifies batch/streaming/real-time inference, cuts costs, and delivers Python-native developer experience for mission-critical environments.
Rohit Agrawal
Chief Architect