Episode 1:

AI’s Impact on Network Engineering and Operations

Join Phil Gervasi from Kentik for this insightful 15-minute microwebinar where we will dive straight into the essential aspects of AI and uncover the practical realities of its application in network engineering, netops, and network architecture.

 

Key Takeaways

Demystifying AI: From Idea to Reality

  • Understand the fundamental differences between the conceptual idea of AI and its real-world applications.
  • Learn how AI is transforming network operations from theoretical potential to practical benefits.

Generative AI vs. General AI

  • Explore the distinctions between generative AI and general AI.
  • Discover how each type uniquely contributes to network performance and management.

Tackling AI Challenges

  • Accuracy: Strategies to ensure AI accuracy and reliability in critical network operations.
  • Hallucinations: Identifying and mitigating AI-generated misinformation.
  • Ethical Considerations: Addressing the ethical implications and operational concerns of AI deployment.

Frameworks and Best Practices

  • Proven approaches for integrating AI seamlessly into your network operations.
  • Best practices for leveraging AI to enhance network efficiency, resilience, and performance.
View the recent full length webinar: AI meets Networking: Now What?

Episode 2:

Building Your AI Roadmap for Network Engineering and Operations

Join Josh Mayfield from Kentik for a focused 15-minute microwebinar tailored for I&O leaders. This session will provide critical advice on the essential features and considerations for integrating AI into your network engineering and operations roadmap.

 

Key Takeaways

Strategic AI Roadmap Planning

  • Identify the critical features necessary for a robust AI roadmap in network engineering and operations.
  • Learn how to align AI initiatives with your business goals and operational needs.

Operational Deployment of AI

  • Understand the best practices for deploying AI solutions within your network infrastructure.
  • Discover effective strategies for seamless AI integration and ongoing management.

Targeted AI Use Cases

  • Explore the most impactful use cases for AI in network operations, from predictive maintenance to automated troubleshooting.
  • Learn how to prioritize AI projects that deliver the highest ROI and operational benefits.

Key AI Feature Components

  • Identify the feature components of AI solutions that offer the most value for I&O teams.
  • Understand the importance of scalability, flexibility, and interoperability in AI tools.

 

Episode 3:

Keeping it Real: Data Integrity in the AI Era

Join Charlcye Mitchell of Kentik and leading voice for AI data integrity as we examine the keys to ensuring trust as AI models and use cases proliferate. This microwebinar will give you a summary guide and key considerations for your organization with growing AI adoption — especially in network engineering and operations.

Key Takeaways

Understanding Data Integrity in AI

  • Explore the significance of data integrity in the context of AI and its impact on model accuracy and reliability.
  • Learn about common data integrity challenges and how they can affect AI outcomes.

Training AI Models with High-Quality Data

  • Data Selection: Criteria for choosing the right datasets for training AI models in network operations.
  • Data Preparation: Best practices for cleaning and preprocessing data to ensure it meets quality standards.
  • Continuous Validation: Techniques for ongoing validation of data throughout the AI model training process.

Ensuring Privacy and Data Consistency

  • Privacy Considerations: Strategies for protecting sensitive data during AI training and deployment.
  • Data Consistency: Ensuring data consistency across different systems and datasets to maintain AI model integrity.
  • Compliance: Understanding regulatory requirements and ensuring AI practices meet industry standards for data protection.

Phil:
Phil is a veteran engineer with over a decade of experience in the field troubleshooting, building, and designing networks. Phil is also an avid blogger and podcaster with an interest in emerging technology and making the complex easy to understand. Check out the latest episodes of the Telemetry Now podcast where Phil and his expert guests talk networking, network engineering and related careers, emerging technologies, and more.

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