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.
Revolutionizing Operational Efficiency: Unifying Analytics and Observability for Seamless Decision-Making
CTOs and operational teams are facing two critical challenges: 1) high analytics and observability spend with low return on investment (or without the expected impact) and 2) low operational efficiency due to disconnected decision-making.
Decoding User Behavior: Innovative Use of AI in Operational Data Analysis
The key to delivering optimal experiences to every user is to comprehensively measure and react to changes in their Quality of Experience in real-time. But, that can mean scanning millions of unique user data points to identify anomalies, detect patterns, and address the root causes of issues. It's becoming more difficult for operations teams to keep up with the speed and scale of user data they need to analyze. That’s where AI comes in.
Mastering the Art of Scale
In the fast-paced world of digital streaming, the ability to scale and adapt is crucial for delivering high-quality user experiences. With millions of users engaging with dozens of apps at a time, operations teams need the scale and agility to monitor and optimize every individual user experience in real-time. It’s a massive scale challenge.
Feature Spotlight: Using Metric Filtering to Find Outliers and Take Immediate Action
How does one find issues that affect a smaller set of users but it is still significant enough to impact overall viewer engagement?