Systems | Development | Analytics | API | Testing

A full-length recording of KataConnect #5.

MLOps holds the key to accelerating the development and deployment of AI, so that enterprises can derive real business value from their AI initiatives. From the first model deployed to scaling data science across the organization. The foundation you set will enable your team to build and monitor a growing amount of AI applications in production. In this talk, we will share best practices from our experience with enterprise customers who have effectively built and deployed composite machine and deep learning pipelines.

Some of you might have faced this situation. A critical bug made it through to your end-users, and when it explodes on social media, your paying customers start abandoning your mobile app. You feel like the sky is falling! Too late, you discover that this happened because an internal user failed to report the bug. When application performance and stability can make or break your business, how can you prevent critical bugs from reaching your end-users? Well, this is where mobile app beta testing can provide tremendous value!

Telpark is a leader in the parking and mobility sector in Spain and Portugal, and a leading international company. The Appian solution that Deloitte and Telpark's finance department developed to optimize the reconciliation process perfectly coordinates human and robotic efforts in a unified workflow. Hear from a number of representatives how 70% of items are reconciled in an automated way.