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 Alastair Cooke Lead a Delegate Roundtable Discussion at Cloud Field Day 22 |
Just what is AI anyway – Cloud Field Day 22 Delegate Roundtable
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This Cloud Field Day delegate roundtable grappled with the evolving and often confusing definition of “AI.” The discussion highlighted the blurring lines between artificial intelligence, machine learning (ML), and the recent surge in popularity of generative AI. Panelists noted the marketing tendency to label any automation or intelligent feature as “AI,” leading to a diluted understanding of the underlying technologies. The lack of clear distinctions confused both consumers and businesses, hindering the effective evaluation and application of AI solutions.
A central theme emerged around the distinction between machine learning, which the panelists viewed as a foundational science providing the underlying mathematical framework, and AI as the resulting intelligent application or product. Generative AI, with its flashy interfaces and readily accessible tools like ChatGPT, has further muddied the waters, overshadowing the broader field of AI and its various forms. The panelists agreed that many companies are using “AI” as a marketing ploy without demonstrating genuine, impactful AI integration.
Ultimately, the conversation concluded that AI, particularly generative AI, is often a feature rather than a standalone product. Its true value lies in enhancing existing tools and processes, automating tasks, and improving efficiency. The panelists stressed the need for focusing on real-world business use cases, moving beyond the hype, and clarifying the specific type of AI being employed. The potential for AI to transform cloud management and various industries was acknowledged, but a cautious approach was urged, emphasizing the need for careful evaluation and responsible implementation.
Personnel: Alastair Cooke
It is time for Operations teams to Code or die – Cloud Field Day 22 Delegate Roundtable
Watch on YouTube
Watch on Vimeo
This Cloud Field Day delegate roundtable grappled with the evolving and often confusing definition of “AI.” The discussion highlighted the blurring lines between artificial intelligence, machine learning (ML), and the recent surge in popularity of generative AI. Panelists noted the marketing tendency to label any automation or intelligent feature as “AI,” leading to a diluted understanding of the underlying technologies. The lack of clear distinctions confused both consumers and businesses, hindering the effective evaluation and application of AI solutions.
A central theme emerged around the distinction between machine learning, which the panelists viewed as a foundational science providing the underlying mathematical framework, and AI as the resulting intelligent application or product. Generative AI, with its flashy interfaces and readily accessible tools like ChatGPT, has further muddied the waters, overshadowing the broader field of AI and its various forms. The panelists agreed that many companies are using “AI” as a marketing ploy without demonstrating genuine, impactful AI integration.
Ultimately, the conversation concluded that AI, particularly generative AI, is often a feature rather than a standalone product. Its true value lies in enhancing existing tools and processes, automating tasks, and improving efficiency. The panelists stressed the need for focusing on real-world business use cases, moving beyond the hype, and clarifying the specific type of AI being employed. The potential for AI to transform cloud management and various industries was acknowledged, but a cautious approach was urged, emphasizing the need for careful evaluation and responsible implementation.
Personnel: Alastair Cooke