Vertex AI - The MLOps Platform for Experts and No-Code Practitioners

Vertex AI - The MLOps Platform
MLOps is a new buzz word around Machine Learning and automation. But what is it and why do Data Scientists and AI projects need MLOps? What is automation, and what are the tools to use? See how Google Cloud simplifies ML at scale with Vertex AI.
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Spotlight

OTHER ON-DEMAND WEBINARS

How to Save Costs and Secure your Cloud Environment?

NetEnrich

In this webinar, we'll review the key factors required to manage and optimize your cloud costs, includes continuous refinement and best practices that help increase output and reduce costs while maintaining high service quality. The key takeaways from this webinar include: How can you avoid the common challenges in the software development lifecycle? Enabling a holistic approach to DevOps using the full stack of tools, automation and processes.
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Best Practices for Deploying an IoMT Cybersecurity Strategy

CyberMDX

While the proliferation of smart medical devices has unleashed new healthcare capabilities, it's also created real challenges to sustained network security. It's important that security be considered at the earliest stages and built in to the medical technology research and requisition process. Unfortunately, this is rarely the case. Even so, it's critical that this problem be tackled with gusto and an organization-wide perspective.
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Protecting Endpoints from USB Malware with MetaDefender Client

Opswat

See how OPSWAT's MetaDefender USB Client monitors endpoints for connected USBs and blocks them until they've been scanned by MetaDefender. This webinar looks at MetaDefender Client and provides a live demo of how the USB feature works.
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Reinsurance Companies to Navigate the AI Landscape

Squirro

The Reinsurance industry is experiencing a whirlwind of external changes. This includes global investment shifts, the evolution of capital markets, and tumultuous macroeconomic conditions. With performance goals and shareholder expectations remaining high while customer demand becomes more nuanced, reinsurers need to take an innovative approach to better adapt to the new landscape.
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