The public sector faces many challenges optimizing workforce scheduling. These include a lack of modern technology, employee shortages, and unequal shift distributions. All this leads to inefficient workforce scheduling.
Leverage SambaNova generative AI capabilities to optimize workforce scheduling by analyzing operational data, employee preferences, and constraints. This is applicable unit or agency level Standard Operating Procedures. Automate intraday management and schedule adjustments, reducing administrative burden and ensuring efficient resource allocation to meet operational demands.
Learn about how SambaNova Systems is proven in multiple federal and research environments.
The SambaNova generative AI platform can optimize workforce scheduling by leveraging its “high-performance, high-efficiency hardware” and Composition of Experts (CoE) model to analyze operational data and scheduling constraints. This ensures efficient resource allocation, meeting operational demands without overscheduling or underutilization.
SambaNova Suite, combined with the Samba-1 Composition of Experts (CoE) model, delivers the highest combination of performance and accuracy for generative AI. A complete hardware/software platform, SambaNova Suite can be deployed as a fully configured rack-level solution either on-premises, including air-gapped environments, or as a cloud-based solution. The Samba-1 model provides state-of-the-art accuracy across a wide range of use cases.
Only SambaNova delivers performance of over 1,000 tokens/s at full precision, on as few as 16 sockets. This is an unrivaled combination of performance and accuracy with a small footprint, dramatically reducing power consumption.
With options for on-premises and air-gapped deployments, SambaNova ensures complete data privacy and security, enabling the use of sensitive data for model training without external exposure.
Once a model is fine-tuned, it becomes the property of the customer in perpetuity, eliminating model ownership concerns.
The Samba-1 model enables flexible access controls, allowing precise management of model permissions to align with organizational roles, enhancing security and ensuring compliance.