Dynatrace

JULY 10, 2023

Here is what a few of these customers say about Dynatrace: “ Dynatrace has been a game changer in our ability to respond to incidents, identify areas for performance tuning, and gain meaningful data from user behavior analysis.”

Monitoring 225

Monitoring Retail Performance Government 225

Dynatrace

SEPTEMBER 20, 2022

From banking and retail to healthcare and government, nearly all industries have experienced a dramatic shift to mobile computing over the last decade. This includes selecting the app to be instrumented, fine-tuning cost controls, and enabling users to opt-in to Session Replay recording. Get started.

Healthcare 225

Healthcare Government Mobile Retail 225

Dynatrace

APRIL 26, 2022

RUM use cases include monitoring an online retailer’s site to detect any increases in page load time, tracking users’ paths through a conversion funnel, or analyzing adoption of new mobile app versions. Endpoint monitoring (EM). How automatic and intelligent AIOps makes DEM and business observability possible.

Monitoring 209

Monitoring Social Media IoT Metrics 209

Dynatrace

APRIL 20, 2023

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Business leaders can decide which logs they want to use and tune storage to their data needs.

Analytics 192

Analytics Infrastructure Storage Efficiency 192

O'Reilly

OCTOBER 11, 2022

The data available to our retail business is much more limited. The online business is information-rich; the retail business is information-poor. Is special-purpose training to fine-tune a model’s behavior an option? We can see what books and courses our customers are using, and for how long. That’s the bad news.

Games 116

Games Healthcare Processing Retail 116

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 166

AWS Lambda Artificial Intelligence Mobile 166