Remove Engineering Remove FinTech Remove Innovation
article thumbnail

Ensuring Data Integrity Through Anomaly Detection: Essential Tools for Data Engineers

DZone

In the trending landscape of Machine Learning and AI, companies are tirelessly innovating to deliver cutting-edge solutions for their customers. To illustrate these tools/frameworks and their importance, let us consider a scenario within the fintech industry.

article thumbnail

Dynatrace receives AWS ISV Partner of the Year Award in Austria

Dynatrace

Technical alignment and achievements As an ISV Partner of the Year recipient, Dynatrace continues to progress in how we deliver the innovative AWS offerings our customers depend on. Dynatrace functionality built on top of Grail, such as AppEngine and Automation Engine , has enabled us to bring to market offers like the Carbon Impact app.

AWS 246
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Business observability and customer experience: A competitive edge for financial services

Dynatrace

At the same time, deregulation fuels massive investments in fintech startups and opens doors for tech giants to point their data-centric innovation engines towards financial services. But even well-intentioned customers are not QA engineers, and their problem descriptions can be vague or even misleading.

FinTech 299
article thumbnail

The Ultimate Guide to Open Source Databases

Percona

Their work produces higher-quality code and enables faster innovation, while maintaining high security standards. Faster innovation Without prohibitive contracts and lengthy procurement processes, open source enables developers and DBAs to customize the source code and create new applications for addressing evolving needs.