Conviva Launches SDK Integration via MCP
SDK Integration MCP is Conviva's solution for allowing developers to guide, review and approve agents-driven Sensor SDK integrations.
Engineering
How to Avoid Drowning in False Insights
Conviva recently introduced Predictive Intelligence: automatic identification of factors that strongly drive conversion in user workflows. This is the first in a series of posts about the technical ideas behind it.
Can Context Graphs Create a Path to an AlphaGo Moment for AI Agents?
Recent discussions position context graphs as a foundational abstraction for agentic AI and a trillion-dollar opportunity. These discussions are a great starting point, but they are incomplete. Richer context matters for agents.
Making io_uring Actually Fast: I/O Threads, Chunking, and the Memory Story Nobody Talks About
Part 2 of 2. Part 1: We replaced mmap with io_uring in our Rust query engine. It got slower. Part 1 left us stuck: a compio-based io_uring rewrite running 60% slower than the mmap baseline it was supposed to replace. We’d added O_DIRECT and worked around Arrow’s copy-happy default buffer construction, landing at 16 secondsRead more »
We Replaced mmap with io_uring in Our Rust Query Engine. It Got Slower.
In the beginning, there was mmap. It was convenient: it let us lazily read huge numbers of Arrow IPC files from disk without managing memory ourselves. It fit our file format perfectly — Arrow IPC’s layout is designed for zero-copy random access, and mmap gives you exactly that. Then we deployed to production, ran realRead more »
How Conviva’s JavaScript Sensors Adapt to the Modern Web
Walk through the engineering arc behind the Conviva JavaScript Sensor SDK, used across our Digital Pattern Insights solutions.
Use Conviva Data Feeds to Put Your Customer at the Heart of Your Entire Operation
Conviva’s Data Feeds provide a rich, compact source of data that is easy to work with and cost-effective. Conviva aggregates every aspect of each user’s interaction into a single line, allowing you to focus on high-value analysis.
From Anomalies to Action: Introducing Conviva Cohort Replay
Introducing Conviva Cohort Replay (Beta): Turn anomalies into answers with Conviva Cohort Replay (Beta) — Watch real user sessions to avoid wasted analysis and optimize performance.
The Concurrency Trap: How An Atomic Counter Stalled A Pipeline
Discover how a single atomic counter caused a major slowdown in Conviva's high-scale streaming analytics platform. This post unpacks the concurrency pitfalls behind a mysterious latency spike and offers lessons for Rust developers working with DAGs, actor models, and shared state.
Why Digital Product Insights Need Automated High-Cardinality Cohort Analytics
Discover how automated high-cardinality cohort analytics can prevent misleading product insights, avoid Simpson’s paradox, and drive smarter decisions with Conviva’s next-gen Operational Data Platform.
Democratizing Stateful Analytics through Visual Programming
Conviva recently presented a paper on "SEAM-EZ: Simplifying Stateful Analytics through Visual Programming" at the premier international conference of Human-Computer Interaction, ACM CHI 2024. We showcased our novel “no code“ platform, SEAM-EZ, for creating stateful analytics. SEAM-EZ stands for Stateful Event Analytics Made Easy; a tool that makes what used to be a complex problem seem easy.
Improving LLM Output by Combining RAG and Fine-Tuning
When designing a domain-specific enterprise-grade conversational Q&A system to answer customer questions, Conviva found an either/or approach isn’t sufficient.