Building modern AI applications is far too difficult, leaving the promise of AI unfulfilled for most organizations. Fortunately, that’s about to change. Kogentix AMP makes it possible to build, manage, monitor, and deploy AI applications leveraging cost effective, scalable open source software. Business leaders and data scientists can focus on using their data for superior results, not scripting and managing a wide variety of ever changing tools. For data to have an impact, the entire data science process must be automated and operationalized. Kogentix AMP delivers.
Create workflows easily with a drag and drop interface for different types of models using R, Python, H2O, Spark Mllib or custom algorithms. With a scalable and intuitive process from registering, validating and retraining models, the platform enables you to trace models performance across algorithms and workflows. The net result – your insights are more actionable and more impactful.
It’s a reality that data changes and workflows must adapt or lose effectiveness. Kogentix AMP monitors the effectiveness of your workflows in production, and will alert you or even take action automatically to optimize the workflow with better algorithms.
Running AI applications in-memory on a horizontally scalable platform eliminates I/O bottlenecks from intermediate systems, enables workflow optimization on the largest dataset possible, and most importantly, enables rapid iteration to constantly improve results.
While some organizations want to build their own AI applications, many more want applications that deliver immediate results. Kogentix AMP for IoT, built on our automated machine learning platform, enables prescriptive analytics on any network of connected systems.
Failure prediction and diagnostics enables real time and batch ingestion of both device data and enterprise data, on premise or in the cloud
Out of the box analytics, visibility and predictions at both a system/device level and a component/subsystem level – fast time to value
Integrate insights with operational systems to avoid downtime, minimize unnecessary maintenance, evaluate supply chain, and create new business opportunities. Modular and extensible for business relevant measurement and prediction – augment base capabilities with AI applications unique to your organization