TEMPUSML ADDRESSES IOT STATISTISTICAL AND COMPUTATIONAL CHALLENGES

TempusML is an open Self Service ML and Data Preparation framework for iterative model development and testing. It integrates with TempusCloud to provide a full model development, testing, and operationalized flow to citizen developers and data scientists.

TEMPUSML IS SOLVING KEY CHALLENGES

Deployment

It is difficult to take a data scientist’s work and deploy it to all users. 

Knowledge 

Developer + SME combos are key, but not always available, therefore enable the SME.

 

Integration

How/where do I get my data? Avoid a laborious ETL task with deep integrations.

Maintenance

Once a computation has been written, how do others know about it?

Monitoring

How do we operationalize and track the model? What is its performance over time?

APACHE IGNITE - USING A MEMORY GRID FOR DISTRIBUTED COMPUTATION FRAMEWORKS (SPARK & FLINK)

by Akshay Mhetre

RUNNING AN

OCCASIONALLY CONNECTED

NEURAL NETWORK AT THE EDGE

WITH MONOCKER (TEMPUS ML)

by Randy Pitcher

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