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Five best practices to get the most out of customer experience analytics

Dynatrace

Customer experience analytics best practices As organizations establish or advance their customer experience analytics strategy and tools, the following five best practices can help maximize the benefits of these analytics. Train employees how to interpret and use customer analytics effectively.

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Best Practices in Cloud Security Monitoring

Scalegrid

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Get ready for actionable insights that balance technical depth with practical advice. </p>

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How organizations can build a strong DevSecOps maturity model based on best practices

Dynatrace

A DevSecOps approach advances the maturity of DevOps practices by incorporating security considerations into every stage of the process, from development to deployment. There are a few key best practices to keep in mind that formulate the perfect DevSecOps maturity model. The education of employees about security awareness.

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Best Practices for Setting up Monitoring Operations for Your AI Team

DZone

ML teams have traditionally been research-oriented, focusing heavily on training models to achieve high testing scores. However, once the model is ready to be deployed in real business processes and applications, the culture around establishing production-oriented operations is lacking.

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Getting Hands-on Training into more hands in 2021

Dynatrace

And we know as well as anyone: the need for fast transformations drives amazing flexibility and innovation, which is why we took Perform Hands-on Training (HOT) virtual for 2021. Taking training sessions online this year lets us provide more instructor-led sessions over more days and times than ever before. So where do you start?

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What the NIS2 Directive means for application security

Dynatrace

Corporate accountability: It is the organizational board of directors and executives’ responsibility to actively oversee, formally endorse, and actively participate in comprehensive training programs concerning the organization’s cybersecurity risk management posture, with emphasis on effectively addressing and mitigating emerging cyber threats.

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AI Prowess: Harnessing Docker for Streamlined Deployment and Scalability of Machine Learning Applications

DZone

Traditional approaches often need help operationalizing ML models due to factors like discrepancies between training and serving environments or the difficulties in scaling up. Machine learning (ML) has seen explosive growth in recent years, leading to increased demand for robust, scalable, and efficient deployment methods. What Is Docker?