AI Use Cases for Resource-Strapped Teams

What’s the smartest way to learn AI if you don’t have a tech background? How can AI help you in your job search? And how do we balance innovation with ethics while holding on to what makes us human? Drawing on questions from our 51st Intro to AI class, Cathy and Paul are here with answers.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:07:07 — Question #1: What does it take to have proficiency in AI for a person with a less technical background?

00:10:19 — Question #2: What’s the best way to use AI in a job search?

00:13:22 — Question #3: How can one find a clear learning path in the whole noise of AI tools?

00:15:06 — Question #4: If I wanted to focus on learning one model or tool in-depth, which should I start with? 

00:17:09 — Question #5: Are there specific areas where AI models can help resource-strapped teams beyond content writing and research? 

00:19:48 — Question #6: If AI is not used to replace humans with writing/thinking/innovation, what are the primary drivers of ROI for companies?

00:22:51 — Question #7: How do you see marketing in the future? 

00:25:49 — Question #8: How much should we trust our time and money investments in this technology when none of the major players in the space currently have a defined path to profitability?

00:28:38 — Question #9: Can you speak to the change in SEO to GEO and AEO?

00:31:43 — Question #10: Should companies be investing in their own AI infrastructure, or is it safer to rely on external platforms?

00:34:09 — Question #11: A negative impact on humanity seems like one of the biggest risks of AI; how can we mitigate these risks through corporate and business responsibility?00:36:26 — Question #12: What are your thoughts on the loss of critical thinking?

00:39:20 — Question #13: How are organizations putting ethical AI frameworks into practice, and where should they draw the line on privacy?

00:42:26 — Question #14: How transparent should companies be when using AI in their customer experiences?

00:46:09 — Question #15: What’s the trade-off between using “safe” enterprise-ready models vs. open/uncensored models? 

00:48:45 — Question #16: What uniquely human qualities should people focus on to be successful and happy in this new reality?

00:52:11 — Question #17:  How have your thoughts about AI’s impact on education changed or evolved over the past 12 months?

00:55:12 — Question #18: How do you think brands can protect their voice when people have all these AI tools?

00:57:50 — Question #19: What AI advances and opportunities have the SmarterX team most excited? And most frustrated?

00:59:37 — Question #20: What session at MAICON are you most looking forward to?

This episode is brought to you by Google Cloud: 

Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner.

Learn more about Google Cloud here: https://cloud.google.com/  

This week’s episode is also brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types.

For more information on MAICON and to register for this year’s conference, visit www.MAICON.ai.

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