<p>* <strong><em>Discussion on the potential of AI in the IT industry, including insights into system health and automation processes. </em></strong></p><p>* <strong><em>Emphasis on the importance of considering traditional machine learning algorithms alongside deep learning frameworks. </em></strong></p><p>* <strong><em>Exploration of the advantages of using pre-trained language models and the potential shift towards their use instead of fine-tuning. </em></strong></p><p>* <strong><em>Consideration of the challenges and considerations in deploying machine learning models, including data privacy and the need for specialized expertise.</em></strong></p><p>This is the 3rd AiEdge Podcast! <a target="_blank" href="https://www.linkedin.com/in/ryan-booth-46470a5/">Ryan</a> and <a target="_blank" href="https://www.linkedin.com/in/alegmoralesm/">Alejandro</a> share their AI and machine learning experiences, covering topics like AI integration into their work, its applications in network infrastructure, deep learning frameworks, and managing large-scale models. They discuss privacy, on-premises vs. cloud deployment, and changing job roles, emphasizing the importance of staying adaptable in the ever-evolving tech landscape.</p><p>Register here if you want to participate in those Podcasts:</p><p>Here is the video version:</p><p></p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://newsletter.theaiedge.io/subscribe?utm_medium=podcast&#38;utm_campaign=CTA_2">newsletter.theaiedge.io/subscribe</a>