Brian Gracely

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Brian Gracely

Brian Gracely

@bgracely

Work: @RedHat Hobby: Host @TheEntAIShow ☁️🎙️ Misc: @WakeBaseball alum 🎩⚾️ Also now on @bgracely.bsky.social

Raleigh, NC Katılım Şubat 2008
3.8K Takip Edilen10.3K Takipçiler
Brian Gracely retweetledi
Red Hat
Red Hat@RedHat·
More than 90% of the modern enterprise stack relies on open source or third-party dependencies. When flaws surface deep within your code base, how do you fix them without crashing production? Andrew Brown explains how Lightwell is the future of enterprise software: red.ht/4wuXLYi
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
Unstructured Data in an AI World theenterpriseaishow.com/episodes/19461… SUMMARY: While we spend a lot of time discussing AI models, we don’t always spend enough time on the challenges of managing the unstructured data used to train, tune, and enable those AI models.
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Brian Gracely retweetledi
Red Hat
Red Hat@RedHat·
Red Hat and @IBM expand Lightwell offerings in collaboration with leading global financial institutions and extensive partner network. Learn how these new commercial offerings deliver automated vulnerability remediation at scale: red.ht/44MRRWr.
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Brian Gracely
Brian Gracely@bgracely·
@weaverobotics This video is the equivalent of those Peleton pictures in the dedicated Peleton sunrooms. Good luck getting that thing around any normal house with stuff on the floor, stairs, etc.
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Weave Robotics
Weave Robotics@weaverobotics·
Today, we’re launching our home robot Isaac 1. Isaac 1 deliveries will begin this fall. Order yours below.
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Brian Gracely retweetledi
The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
Enterprises are concerned about AI Costs, Governance and Trust theenterpriseaishow.com/episodes/19412… SUMMARY: As AI within the Enterprise matures, we look at 10 concerns and challenges that are still causing Chief AI Officers to worry about success in the future.
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
A Day in the Life of a Forward-Deployed Engineer theenterpriseaishow.com/episodes/19397… SUMMARY: What does a Forward-Deployed Engineer actually do? And what about deploying AI Harness? Let’s dig into the real-world with these evolving AI concepts and technologies.
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
Chaotic AI Markets: Focus on what you can control theenterpriseaishow.com/episodes/19378… On Father's Day, how would you explain some of the volatility of the AI market to your father? What advise might he give you to navigate the ups and downs and uncertainties?
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
AI Cyber is expanding a Vulnerability Gap theenterpriseaishow.com/episodes/19358… As tools like Mythos create new AI-cybersecurity concerns, CIOs and CISOs need to be prepared for two challenges: Security Remediation and Patch to Production acceleration.
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Brian Gracely retweetledi
The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
Do CIOs need to create an Enterprise AI Harness?theenterpriseaishow.com/episodes/19341… How can CIOs balance innovation and control as they roll our AI capabilities across their organization. How can they balance onboarding, experience, security and flexibility?
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
Should CIOs have a backup plan for AI?theenterpriseaishow.com/episodes/19321… SUMMARY: If the cost of public AI continues to rise, because of various market shortages, should CIOs start looking at backup plans to better own their AI journeys and futures?
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The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
What are the incentives to share AI learning curves with teammates? theenterpriseaishow.com/episodes/19302… SUMMARY: When we get to the end of 2026, how will enterprise companies be measuring the success of their AI projects? And how well will their teams be sharing their AI learning curves?
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Anish Agarwal
Anish Agarwal@_anish_agarwal·
The bottleneck in AI SRE isn't telemetry. Most enterprises already have more logs, metrics, and traces than they know what to do with. Yet troubleshooting remains largely manual. The challenge isn't collecting more data. It's reasoning over the data that's already there and separating causation from correlation. Thanks to @bgracely for having me on @TheEntAIShow . Full episode in the comments.
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Brian Gracely retweetledi
The Enterprise AI Show
The Enterprise AI Show@TheEntAIShow·
How will team collaboration evolve within Enterprise AI? theenterpriseaishow.com/episodes/19257… SUMMARY: The biggest enterprise AI question is which organization can most effectively operationalize, govern, and economically scale AI agents across the business.
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