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Cathy McPhillips, Paul Roetzer, and Mike Kaput에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Cathy McPhillips, Paul Roetzer, and Mike Kaput 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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#163: AI Answers - AI Environmental Concerns, Agentic Workflows, SEO Impact, The Future of Creative Careers, & Human-First Processes

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Cathy McPhillips, Paul Roetzer, and Mike Kaput에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Cathy McPhillips, Paul Roetzer, and Mike Kaput 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

From the environmental costs of data centers to the cultural biases baked into today’s models, Paul Roetzer and Cathy McPhillips answer your questions from our 50th Intro to AI class. Throughout the episode, they unpack the gray areas of AI-generated content, debate what the rise of agents means for work, and consider how creatives can stay ahead with AI.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:05:13 — Question #1: Which environmental concern feels most urgent for the AI industry to solve?

00:07:58 — Question #2: How well do AI models reflect diverse languages and cultures?

00:10:25 — Question #3: What risks and ownership issues come with AI-generated video and images in marketing?

00:15:26 — Question #4: What are the best ways to start experimenting with AI agents?

00:18:22 — Question #5: Is there value in using multiple AI platforms to cross-check results?

00:22:06 — Question #6: How should businesses weigh built-in AI assistants versus standalone tools like ChatGPT?

00:24:30 — Question #7: Are we moving toward a standardized way for websites to guide how AI systems interact with their content?

00:29:27 — Question #8: How do you see different search engines being used or leveraged by AI companies?

00:32:24 — Question #9: How do you choose the right AI model for marketing, HR, and sales tasks?

00:34:56 — Question #10: What role do you see AI playing in building and managing communities?

00:38:31 — Question #11: What frameworks should teams use when integrating AI into CRM or workflow automation to keep systems scalable and secure?

00:40:51 — Question #12: What are the most common mistakes companies make when trying to ‘force-fit’ AI into a workflow?

00:42:23 — Question #13: Which AI tooling is best suited to develop and monitor a marketing communications strategy at SME vs. enterprise scale?

00:45:11 — Question #14: Do you think AI fluency will become a baseline requirement for executives?00:46:55 — Question #15: What should creatives in fields like graphic design or UX/UI be thinking about as AI continues to evolve?

00:52:29 — Question #16: How do you see coding and technical skills as careers in a world where today’s kids will grow up with AI?00:55:35 — Question #17: What’s the best way to handle situations when AI gets things wrong, and how do you approach fact-checking?

00:58:39 — Question #18: If you had to narrow it down to just one ethical principle that matters most right now, which would it be and why?

01:00:48 — Question #19: How should companies address internal concerns around data privacy, compliance, and governance?

01:01:53 — Question #20: Which AI applications do you expect to break through sooner than people think?

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 episode is brought to you by AI Academy by SmarterX.

AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here.

Visit our website

Receive our weekly newsletter

Join our community:

Slack

LinkedIn

Twitter

Instagram

Facebook

Looking for content and resources?

Register for a free webinar

Come to our next Marketing AI Conference

Enroll in our AI Academy

  continue reading

166 에피소드

Artwork
icon공유
 
Manage episode 501550397 series 3272454
Cathy McPhillips, Paul Roetzer, and Mike Kaput에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Cathy McPhillips, Paul Roetzer, and Mike Kaput 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

From the environmental costs of data centers to the cultural biases baked into today’s models, Paul Roetzer and Cathy McPhillips answer your questions from our 50th Intro to AI class. Throughout the episode, they unpack the gray areas of AI-generated content, debate what the rise of agents means for work, and consider how creatives can stay ahead with AI.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:05:13 — Question #1: Which environmental concern feels most urgent for the AI industry to solve?

00:07:58 — Question #2: How well do AI models reflect diverse languages and cultures?

00:10:25 — Question #3: What risks and ownership issues come with AI-generated video and images in marketing?

00:15:26 — Question #4: What are the best ways to start experimenting with AI agents?

00:18:22 — Question #5: Is there value in using multiple AI platforms to cross-check results?

00:22:06 — Question #6: How should businesses weigh built-in AI assistants versus standalone tools like ChatGPT?

00:24:30 — Question #7: Are we moving toward a standardized way for websites to guide how AI systems interact with their content?

00:29:27 — Question #8: How do you see different search engines being used or leveraged by AI companies?

00:32:24 — Question #9: How do you choose the right AI model for marketing, HR, and sales tasks?

00:34:56 — Question #10: What role do you see AI playing in building and managing communities?

00:38:31 — Question #11: What frameworks should teams use when integrating AI into CRM or workflow automation to keep systems scalable and secure?

00:40:51 — Question #12: What are the most common mistakes companies make when trying to ‘force-fit’ AI into a workflow?

00:42:23 — Question #13: Which AI tooling is best suited to develop and monitor a marketing communications strategy at SME vs. enterprise scale?

00:45:11 — Question #14: Do you think AI fluency will become a baseline requirement for executives?00:46:55 — Question #15: What should creatives in fields like graphic design or UX/UI be thinking about as AI continues to evolve?

00:52:29 — Question #16: How do you see coding and technical skills as careers in a world where today’s kids will grow up with AI?00:55:35 — Question #17: What’s the best way to handle situations when AI gets things wrong, and how do you approach fact-checking?

00:58:39 — Question #18: If you had to narrow it down to just one ethical principle that matters most right now, which would it be and why?

01:00:48 — Question #19: How should companies address internal concerns around data privacy, compliance, and governance?

01:01:53 — Question #20: Which AI applications do you expect to break through sooner than people think?

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 episode is brought to you by AI Academy by SmarterX.

AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. Learn more here.

Visit our website

Receive our weekly newsletter

Join our community:

Slack

LinkedIn

Twitter

Instagram

Facebook

Looking for content and resources?

Register for a free webinar

Come to our next Marketing AI Conference

Enroll in our AI Academy

  continue reading

166 에피소드

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