Your mobile app is your brand. But for most engineering teams, release confidence isn’t a given—it’s a gamble. Only 3% of orgs can ship mobile updates multiple times per week; over half are stuck on monthly cycles. And 49% say insufficient test coverage is the #1 thing preventing them from catching critical defects before users do. Join us as we map your transition from reactive testing to a high-velocity, AI-augmented release engine. We’ll cover:
The maturity audit: Why the jump from “some automation” to “continuous quality” stalls out and what it means when your pipeline has no shared quality signal.
De-risking while scaling: Why scaling automation and coverage hits a wall and what secure real device access that fits in the developer’s workflow looks like in practice.
From incidents to insights: How engineering leaders use AI-powered insights to surface hidden patterns and pinpoint the root cause—shifting from incident response to release confidence.
Build the ROI case: How teams achieve a 90% reduction in testing toil and 50% faster releases—and how to build a case that connects faster mobile delivery to business mandates.
Speakers:
Parth Patel, Senior Solution Engineer
Ashwini Sathe, Senior Group Product Marketing Manager
Stop letting QA be the bottleneck on AI-speed development.
Stop letting QA be the bottleneck on AI-speed development.
