FASTER AI APPLIED TO THE
Are you able to deploy deep learning, machine learning and predictive analytics models fast enough? Agility and speed in integrating complex analytic models to your apps and processes are critical to edging out your competition. That’s why Software AG’s Artificial Intelligence (AI) solution—powered by Zementis — enables you to operationalize AI and other advanced analytic models without the time and cost of expensive custom coding.
Put AI models to work ASAP in 24/7 mission-critical systems, via open standards. Plus, gain a flexible framework for deploying models across heterogeneous networks or for edge analytics in your Internet of Things. No matter where your applications are running—in an IoT, a distributed environment, the cloud or on a mainframe—you can execute, optimize and scale models without allocating dedicated IT resources. This includes deep neural network models built using Keras, Caffe or Tensorflow.
A single platform enables all your artificial intelligence or other data science models to be accessed through a simple API call, whether the models are targeted at batch or real-time data. Resulting scores are expedited to your application, database or visualization tool for timely, actionable decisions with economic value.
All of this—without any changes to the data science team’s data modeling, tools or adding more intelligent AI development software resources to your projects. See how our software integrates seamlessly with Agile development methodologies.Explore Zementis
WHAT OUR CUSTOMERS SAY
EQUIFAX ENDORSES ZEMENTIS
"Zementis Predictive Analytics helps our customers deploy, audit, integrate and execute predictive models with greater ease at a lower cost, which will ultimately help increase their profitability.”
James Reid | Senior VP, Core Software Engineering, Equifax
OF YOUR INTERNET OF THINGS
The key to capitalizing on the IoT is to analyze and act on insights in an instant. That takes data science. But you don’t have to be a rocket scientist to quickly benefit.
See what we mean