At Parallel, our mission is to build a future where harnessing the power of AI across enterprises becomes an achievable standard course of doing business.
To achieve this, we are creating a new intelligence management paradigm, an “Intelligence Overlay Network” (ION), that couples distributed data, computational assets, interconnected ML and DL applications, with overarching management capabilities and business interfaces.
Using PM, operations can easily manage complex ION’s in production, spanning Edge/Cloud and open source or proprietary tools while visualizing and improving efficiency via an overarching management function designed for human interaction and business context.
The biggest challenge in driving successful AI initiatives is effectively managing the performance and business impact of Machine Learning in production. Taking ML into production incurs unique challenges brought on by the need to collaborate between the diverse practices of Ops and Data Science, the complicated nature of ML behavior, the complexities of runtime analytics environments.
ParallelM solves these issues, so that enterprises can apply the power of Machine Learning in Production to transform and scale their businesses.
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