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How is MLOps Used in Business and Marketing?

Neil Patel

Here is where machine learning operations (MLOps) come in. In less simple terms, it’s a combination of machine learning, data engineering, and development operations. It is an extension of what we know as DevOps. The process of brainstorming, developing, and implementing machine learning is extensive.

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Bulletproof your software with these 12 best application security tools (SAST, DAST, CSPM & WAF)

Audacix

Cloud Security Platform Management (CSPM) Microsoft defines a CSPM tool as one that "identifies and remediates risk by automating visibility, uninterrupted monitoring, threat detection, and remediation workflows to search for misconfigurations across diverse cloud environments/infrastructure, including: Infrastructure as a Service (IaaS)."

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Top 10 AIOps Platforms in 2022?

SmartKarrot

Some of the tools in a platform act like services, while others act like interfaces. An AI-driven interface connects with AI-based services to give a solution. This website monitoring service uses a series of specialized modules to fulfill its job. These tools are compatible and interact with each other. AppDynamics. DynaTrance.

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How JumpCloud Handles Over 100 Million Unique Daily Data Points From Their Product

OpenView Labs

That last point is key—it’s easy to derive metrics and insights for isolated segments of the customer journey, but the real value is derived once you’re able to provide a complete view of the customer journey from beginning to end, allowing for further explanatory and predictive analysis when viewing these data in aggregate.

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New at Intercom uncut: Watch our entire virtual launch event

Intercom, Inc.

Wayne Stewart, Head of CSS Cloud Growth – DevOps & IT at Atlassian: Thanks, Paul. My role at Atlassian is as a Support Manager of the DevOps IT Cloud Products team. So the way that we are working with Intercom is making a difference in the service that we’re delivering to customers. Wayne, thanks for joining us.

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