Dynamics Day 2015: Dynamics AX and Enterprise Cloud Computing
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Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Taking AI to the Next Level in Manufacturing.pdf
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1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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Dynamics Day 2015: Dynamics AX and Enterprise Cloud Computing
- 1. Dynamics Day 2015 Dynamics AX Enterprise Cloud Computing
- 2. Agenda • Use Lifecycle Services to redesign and develop business processes, faster • Use AX 7 technology stack to make better decisions, faster • Mine your data and use Machine Learning to predict trends
- 3. Dynamics AX Roadmap R3 CU9 PreviewAX 7 AX 2012 Update Update Update GA Update Update 2015 2016 2017 Disclaimer: This roadmap is Intergen’s interpretation of expected release cycles and is subject to confirmation of release dates as announced by Microsoft
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- 5. Upgrade Readiness Upgrade to AX 2012 CU9 Adopt Best Practice Processes Ensure Smart Development and Design Stick to Patterns with Customisation Clean Up and Standardise Configuration and Data Ensure IT are familiar with Azure and Visual Studio Encourage Power BI over Fixed SSRS Reporting Minimise Future Customisation
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- 7. Best of both worlds Best practices and differentiating processes
- 11. Azure marketplace – Dynamics Solutions
- 16. ☁ ☁ • On-demand scalability • Data is many times already there • One-click publish of production-level service • High-level solutions already available Using Azure Machine Learning…
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