Carahsoft, in conjunction with its vendor partners, sponsors hundreds of events each year, ranging from webcasts and tradeshows to executive roundtables and technology forums.

Government Events and Resources

Events

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ServiceNow

Boost Employee Productivity and Engagement To New Heights in Tokyo


Event Date: October 06, 2022
Hosted By: ServiceNow & Carahsoft
Learn how the enhancements introduced in ServiceNow's HR Service Delivery (HRSD) in the Tokyo release reduces complexity, extends self-service capabilities, and drives greater engagement with both managers and employees.

In this webinar, peers learned how the new Manager Hub empowers managers to increase engagement and productivity by allowing them to track key activities across their team, to obtain insights and recommendations, and by providing resources specific to the manager role. The new Employee Journey Designer provides an exceptional employee experience that promotes efficient actions; issue auto-resolution, an AI-powered self-service solution, provides automated resolution of routine HR requests by providing case deflection content to the employee.

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Resources

The Convergence of Machine Learning and HPC for Cognitive Simulation
Webinar

The Convergence of Machine Learning and HPC for Cognitive Simulation

HPC managers are increasingly recognizing AI and Machine Learning’s ability to accelerate computing, extract more information out of data collected, and improve accuracy.

In this webinar, Brian Van Essen, Group Leader at Lawrence Livermore National Lab's Center for Applied Scientific Computing recently discusses advances in emerging workflows for HPC scientific exploration and scientific machine learning with Kisaco Research.

Viewers will gain insights into:

  • Hybrid system results in accelerating multiple workloads
  • Benefits of a highly programable architecture allowing multiple models to be laid out on a chip
  • The ability of multiple model deployments to be programmed to handle each incoming request with production-ready efficiency
  • Learnings from the first of its kind Disaggregated CogSim system and how it was built

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