83. AI Everywhere: Business and AI Professionals Collaborating

<p>In this episode of Cyber Security Inside, Camille and Tom conclude their interviews from Intel’s AI Everywhere conference by talking with Nufar Gaspar, Director of AI Everywhere at Intel and Product & Strategy at AI Group. She is also the head of the conference itself.</p> <p>This conversation is part 3 of a 3-part series from AI Everywhere, ​​an internal Intel initiative and conference which includes keynotes, tech talks, tutorials, and an AI expo. The objective of this internal meeting is to encourage Intel employees to apply AI thinking and approaches to their jobs.</p> <p> </p> <p><span style="font-weight: 400;">The conversation covers:</span></p> <p><span style="font-weight: 400;">-  Tips for creating and leading AI training and conferences from the head of this conference.</span></p> <p><span style="font-weight: 400;">-  Discussion about the methodologies that already exist for implementing AI.</span></p> <p><span style="font-weight: 400;">-  The importance of AI experts and business experts collaborating and leveraging each other’s skills when implementing AI. </span></p> <p><span style="font-weight: 400;">-  Advice on not reinventing the wheel, since AI and its methodologies have been around for longer than one might think.</span></p> <p><span style="font-weight: 400;">...and more. Don’t miss it!</span></p> <p> </p> <p><em><span style="font-weight: 400;">The views and opinions expressed are those of the guests and author and do not necessarily reflect the official policy or position of Intel Corporation.</span></em></p> <p><br /> <br /></p> <p><strong>Here are some key takeaways:</strong></p> <p><span style="font-weight: 400;">-  Although the hype about AI is relatively new, it’s actually been around for many years.</span></p> <p><span style="font-weight: 400;">-  One of the big reasons that a company might fail in their implementation of AI is that they don’t properly select what to work on. They either don’t have the experience, it isn’t feasible, or not everyone agrees that what they are working on