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Ben Hass
Ben Hass is an accomplished sales professional with a background in technology and business administration.
He holds a Bachelor of Arts and Bachelor of Science in Business Administration with a focus on Marketing from the University of Oregon.
Ben Hass's career includes significant roles in leading technology companies, showcasing his expertise in enterprise sales.
Currently, he serves as the Director of Enterprise Sales for the Pacnw region at Datadog, a prominent software company.
Prior to his current role, Ben Hass held the position of Regional Sales Manager for the Northwest at Rubrik, Inc., where he excelled in driving sales growth.
His previous experiences include Director of Sales for the NW Region at Datrium, Global Account Manager at Nimble Storage, Regional Sales Manager at Xsigo Systems, and Account Executive roles at Dell EMC and Data Domain.
Ben Hass has a wealth of experience in sales and account management, having also worked at Ivoxy Consulting, Incentra Solutions, and Softchoice.
With a track record of success in the tech industry, Ben's strong sales skills and strategic approach make him a valuable asset to any organization.
Highlights
Datadog is excited to announce the public beta of Datadog LLM Observability, a new product that enables application developers and ML engineers to monitor, troubleshoot, and evaluate their LLM-powered applications (e.g. customer service chatbot).
With LLM Observability, you can confidently monitor your LLM applications in development or already in production, allowing you to easily:
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Quickly pin-point the root cause of unexpected responses and any failures in your LLM chains, including preceding and succeeding calls to variety of tools, data sources, and components, with full visibility into the end-to-end LLM trace
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Identify latencies and bottlenecks in LLM applications, while monitoring the cost of operating LLMs
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Evaluate the quality and effectiveness of LLM applications’ conversations (e.g. sentiment, failure to answer) to monitor any drifts and the overall experience of the LLM apps’ end users
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Assess LLM applications for privacy and security by identifying data leaks, toxic content or prompt injection attacks against your LLM applications
Experience how you can monitor, troubleshoot, and evaluate your LLM applications confidently with LLM Observability.
Get started with LLM Observability today!
https://lnkd.in/gSc7h9ne https://lnkd.in/gzBd24Ct
