These trending automation topics that will help your organization deliver the right automation strategy and achieve success. The transformational solutions recommendations are designed for:
IT decision makers
IT operations leaders and managers
DevOps leads
Enterprise architects
IT Ops Directors, Vice Presidents
Chief information Officers
NBC Universal can deliver the right automation strategy and achieve success in AI adoption goals.
AAP (Ansible Automation Platform) supports extensive possibilities and is designed with hybrid cloud infrastructure in mind. It is a flexible, scalable, and multifaceted automation solution that works across your enterprise, wherever your organization might be in its automation journey.
Ansible® Automation Platform is a unified solution for strategic automation. It combines the security, features, integrations, and flexibility needed to scale automation across domains, orchestrate essential workflows, and optimize IT operations to successfully adopt enterprise AI.
Adopting a mission-critical automation mindset
To meet the ever growing needs of your business, to position your teams for operational success, and to be ready for the meaningful adoption of AI, your organization needs to adopt a “mission-critical” automation mindset. Why? Because automation is no longer a nice to have, or a value add, or something that can help streamline one pocket of your IT ops. It is mission-critical. We will discuss how striking the right balance of strategy, tooling, and mindset can set your organization up for success – and why partnering with Ansible makes it eminently achievable. In addition there will be a short roadmap update to talk about the new features we are releasing into the product.
AAP (Ansible Automation Platform) with AI, Virtualization + Enterprise Solutions
Hit the ground running in 2025 by leveraging areas for integrating AAP with AI, OpenShift Virtualization, and RHEL. These domains are rich with opportunities to connect automation scenarios with real customer pain points to improve business outcomes. In this session, we’ll investigate each of these three focus areas, exploring how adding AAP to these larger product portfolio focus areas can achieve impactful results.
A Practical Guide for Measuring the Business Value of AAP (Ansible Automation Platform)
AAP decreases the time to new automation capabilities by 81% and is 2.1x more cost effective than DIY automation solutions like AWX. Many organizations are looking to modernize their approach to automation and harness the value AAP delivers in terms of support, scalability, security, and performance. Tom Simmons and Josh Monks from Red Hat’s Business Value Practice will guide attendees through the business value of transitioning from AWX to AAP and provide practical steps for evaluating an investment into an IT automation platform.
Delivering on the full promise of IT automation
As the complexities of modern infrastructure, applications, security, and hybrid cloud environments continue to grow, IT organizations will require a comprehensive automation strategy. Join this session to gain insights from leading IT leaders on how they’re expediting business outcomes and optimizing workloads to fulfill the potential of IT automation.
Ansible Automation Platform Customer Use Cases
The need for automation is amplified by AI
The power and potential of Generative AI to accelerate and grow businesses is huge with some organizations predicting over $8T of global economic impact. But these gains are not free. AI technology is expensive both to build as well as run. Specialist hardware, multi-domain expertise and vast quantities of data are needed. To develop AI efficiently, automation is mission critical. The uptime and efficiency of your AI resources will directly impact your ROI and time to market, and that’s even before you expose it to your customers. Ansible Automation Platform is here to help ensure your AI resources are optimally used and always ready to go.
A Practical Guide for Measuring the Business Value of AAP (Ansible Automation Platform)
AAP decreases the time to new automation capabilities by 81% and is 2.1x more cost effective than DIY automation solutions like AWX. Many organizations are looking to modernize their approach to automation and harness the value AAP delivers in terms of support, scalability, security, and performance. We will guide attendees through the business value of transitioning from AWX to AAP (Ansible Automation Platform) and provide practical steps for evaluating an investment into an IT automation platform.
Harnessing the Power of AI: Enhancing Ansible Automation for Next-Level Efficiency
Additionally, Ansible is agentless, which means it does not require any software to be installed on the target systems. Instead, it connects to them through SSH or PowerShell and executes tasks remotely. This agentless architecture simplifies the deployment and management of Ansible itself.
Key concepts and components of Ansible:
Playbooks: Playbooks are the heart of Ansible. They are written in YAML format and contain a series of tasks that define the desired state and configuration of the target systems. Playbooks can include variables, conditionals, loops, and more, enabling complex automation workflows.
Modules: Ansible provides a vast collection of modules that serve as building blocks for automation tasks. Modules are responsible for carrying out specific actions, such as installing packages, managing files, configuring network devices, or interacting with cloud platforms. They can be used within playbooks to perform various operations.
Inventories: An inventory is a file or set of files that define the hosts and groups of hosts on which Ansible will operate. It contains information such as IP addresses, hostnames, and connection details. With inventories, users can organize and manage their infrastructure in a structured manner, making it easier to target specific hosts or groups with Ansible operations.
Benefits of Ansible Automation:
Using Ansible for automation and orchestration provides several advantages that enhance IT operations and efficiency.
Advantages of using Ansible in IT automation and orchestration:
Simplicity: Ansible’s simple and human-readable syntax allows users to create automation workflows with ease. It has a shallow learning curve, making it accessible to both beginners and experienced automation engineers.
Scalability: Ansible is designed to scale efficiently, allowing users to manage thousands of systems simultaneously. Its agentless architecture simplifies the process of adding and managing new hosts, making it highly scalable for organizations of any size.
Cross-platform compatibility: Ansible is platform-agnostic and can automate tasks across various operating systems, including Linux, Windows, and UNIX-like systems. This cross-platform compatibility makes it an ideal choice for heterogeneous environments.
Reusability and modularization: Ansible promotes code reuse through the use of roles, which encapsulate reusable configurations and tasks. This modular approach simplifies maintenance and allows workflows to be easily shared and applied to different projects or environments.
Streamlining repetitive tasks, reducing manual effort, and achieving faster time-to-value:
Ansible automates repetitive tasks such as software installation, configuration management, and system provisioning. By eliminating the need for manual intervention, it reduces human error and saves significant time and effort.
With Ansible, IT teams can achieve faster time-to-value by automating deployment processes. Infrastructure provisioning, application deployments, and configuration changes can be performed consistently and efficiently, reducing deployment time and accelerating project delivery.
Ansible’s idempotent nature ensures that the desired state of the system is maintained regardless of the number of times a playbook is executed. This helps in maintaining system consistency and reducing troubleshooting efforts.
AI-Driven Decision-Making:
AI has the potential to significantly improve decision-making processes in automation workflows. By analyzing data, identifying patterns, and making informed recommendations, AI systems can enhance the efficiency and effectiveness of decision-making in various domains.
Role of AI in improving decision-making processes in automation workflows: AI enables automation systems to process and analyze vast amounts of data quickly, uncovering insights and patterns that might be challenging for humans to identify. This capability enhances decision-making processes by providing accurate and data-driven recommendations.
The potential for AI to analyze data, identify patterns, and make informed recommendations: AI systems can analyze structured and unstructured data, including text, images, and sensor data, to extract meaningful information. By identifying patterns and trends, these systems can make informed recommendations, allowing automation workflows to optimize resource allocation, prioritize tasks, or identify anomalies.
AI-driven decision-making also allows for real-time adjustments and adaptive strategies based on changing circumstances, leading to more agile and responsive automation systems.
Leveraging Machine Learning Algorithms:
To enhance the capabilities of Ansible, organizations can integrate machine learning algorithms within Ansible playbooks for intelligent decision-making.
Integrating machine learning algorithms within Ansible playbooks for intelligent decision-making: By incorporating machine learning algorithms into Ansible playbooks, organizations can automate decision-making processes based on data analysis. For example, clustering algorithms can be used to group similar hosts or resources for efficient task execution, classification algorithms can automate the categorization of events or log entries, and regression algorithms can predict system performance or resource utilization.
Using algorithms such as clustering, classification, and regression in automation workflows: Organizations can leverage clustering algorithms to dynamically group hosts based on their characteristics, enabling targeted configuration management. Classification algorithms can be utilized to automate the categorization of events or log entries, aiding in troubleshooting and incident response. Regression algorithms can help predict resource demands, enabling proactive infrastructure scaling and optimization.
Natural Language Processing (NLP) and Chatbot Integration:
Integrating NLP and chatbot capabilities with Ansible allows for conversational automation and enhances the user experience.
Enabling conversational automation using NLP and chatbot integration with Ansible: By incorporating NLP capabilities, organizations can interact with Ansible through natural language queries or commands. Chatbot integration facilitates conversational automation, enabling users to interact with Ansible through intuitive and user-friendly interfaces. This enhances the accessibility and usability of automation workflows.
Enhancing user experience and enabling self-service capabilities through AI-powered chatbots: AI-powered chatbots integrated with Ansible can provide self-service capabilities, allowing users to perform tasks, retrieve information, or receive assistance through conversational interfaces. Chatbots can understand user intent, execute Ansible playbooks, and provide real-time feedback or recommendations, simplifying automation tasks and reducing dependency on manual intervention.
Intelligent Monitoring and Alerting:
Integrating AI-driven monitoring solutions with Ansible enables proactive detection of anomalies and performance issues, leading to automated remediation actions.
Integrating AI-driven monitoring solutions with Ansible to enable proactive detection of anomalies and performance issues: By combining Ansible with AI-driven monitoring solutions, organizations can continuously collect and analyze system metrics, log data, and events. Machine learning algorithms can identify patterns and anomalies, triggering automated remediation actions through Ansible. This proactive approach minimizes system downtime, improves performance, and ensures efficient resource utilization.
Leveraging machine learning algorithms to analyze system metrics and trigger automated remediation actions: Machine learning algorithms, such as anomaly detection, can analyze system metrics and identify deviations from normal behavior. Ansible can then be utilized to automatically trigger remediation actions, such as scaling resources, restarting services, or applying configuration changes. This proactive and intelligent monitoring approach improves system reliability and reduces manual intervention.
Automating Security and Compliance:
AI techniques can be applied to automate security and compliance tasks within Ansible automation workflows, enhancing threat detection, vulnerability scanning, and compliance auditing.
Applying AI techniques to automate security and compliance tasks within Ansible automation workflows: Ansible can be augmented with AI-powered tools to automate security-related tasks. AI techniques, such as machine learning and pattern recognition, can enhance threat detection capabilities, automate vulnerability scanning, and facilitate compliance auditing. This integration ensures that security and compliance requirements are met efficiently and consistently.
Enhancing threat detection, vulnerability scanning, and compliance auditing using AI-powered tools: By leveraging AI-powered tools within Ansible, organizations can improve their ability to detect security threats, identify vulnerabilities, and maintain compliance. Machine learning algorithms can analyze security logs, network traffic, and system behavior to identify suspicious activities. Automated vulnerability scanning can be performed to detect and remediate potential vulnerabilities. AI-powered compliance auditing tools can ensure adherence to regulatory requirements and industry standards.
Conclusion
The integration of AI with Ansible automation holds immense potential for organizations seeking to achieve next-level efficiency and optimization. By leveraging AI techniques such as machine learning, predictive analytics, NLP, and intelligent monitoring, organizations can supercharge their automation workflows and unlock new possibilities. However, it is crucial to adopt best practices, ensure data governance, and maintain ethical considerations throughout the process. By harnessing the power of AI in conjunction with Ansible, organizations can transform their operations, drive innovation, and stay ahead in an increasingly automated and AI-driven world.
Automation Platform supports extensive possibilities and is designed with hybrid cloud infrastructure in mind. It is a flexible, scalable, and multifaceted automation solution that works across your enterprise, wherever your organization might be in its automation journey.
