Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled people needed to operate and evaluate the pipeline - it takes domain experts to know if the machine learning results are accurate and valuable. Tooling can help, but it is only in the early days. If your organization is keen to get machine learning into the company, you need to do some careful planning!
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Recorded April 20, 2024
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PowerApp Extensibility with Christina Wheeler
The End of Windows 10 with Paul Thurrott
Identity Governance with Jef Kazimer
SQL Server and AI with Muazma Zahid & Bob Ward
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GitHub Copilot with Damian Brady
Securing AI with Sarah Young
Microsoft Copilot for Security with George Coldham
GitHub for SysAdmins with April Edwards
From SysAdmin to Platform Engineer with Steve Buchanan
Understanding Large Language Models with Jodie Burchell
Upgrading TLS with Scott Helme
Copilot Governance with Martina Grom
Windows Server vNext with Jeff Woolsey
Maximizing Metadata with Emily Mancini
Managing Cloud Native with Brendan Burns
Software Licensing in 2024 with Mary Jo Foley
AI for IT with Gil Pekelman
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