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Nội dung được cung cấp bởi Claire Prudhomme, Paul Roetzer, and Mike Kaput. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Claire Prudhomme, Paul Roetzer, and Mike Kaput hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
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#185: AI Answers - Getting Started with AI, Core AI Concepts, In-Demand AI Jobs, Data Cleanliness & AI Fact-Checking

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Manage episode 523739662 series 3272454
Nội dung được cung cấp bởi Claire Prudhomme, Paul Roetzer, and Mike Kaput. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Claire Prudhomme, Paul Roetzer, and Mike Kaput hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

What happens when AI stops being a tool and starts reshaping every task inside your company?

In this AI Answers episode, Paul Roetzer and Cathy McPhillips go through audience questions on where AI jobs are really heading, how agents and “AI ops” are emerging, and what to expect as reasoning models accelerate into 2026.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:03:55 — What AI Positions are in demand for professionals who are not coders? How can skill sets be presented to hiring managers?

00:08:49 — What are the top AI concepts that organizational communicators need to know?

00:10:56 — What should I focus on in AI?

00:13:21 — What do you think would be a good area to focus on as someone trying to break into the AI industry?

00:16:15 — Would you recommend prioritizing 'Generative' use cases or 'Predictive' use cases to achieve the quickest win?

00:18:45 — What’s the most innovative way to get started? Do we need a certain level of data hygiene first, or can AI help clean and organize the data as we go?

00:23:55 — Can you talk about what to be aware of and best practices for sourcing use cases?

00:28:25 — What is the best way to introduce AI tools to a technical/industrial workforce without causing 'replacement fear'?

00:30:47 — What would you say to people who are trying to move beyond the mechanical use of AI and actually trust the technology enough to use it in meaningful ways?

00:34:20 — How do you see AI-driven search tools impacting traditional search engines?

00:36:43 — As generative AI matures, what’s the next significant shift?

00:41:04 — Do companies understand AI well enough before reducing their human workforce?

00:45:51 — What are the main factors that could slow down the advancements of AI?

00:49:11 — As AI systems move toward recursive self-improvement, what guardrails are needed to ensure they aren’t learning from a distorted or incomplete view of the world?

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/

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

186 tập

Artwork
iconChia sẻ
 
Manage episode 523739662 series 3272454
Nội dung được cung cấp bởi Claire Prudhomme, Paul Roetzer, and Mike Kaput. Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Claire Prudhomme, Paul Roetzer, and Mike Kaput hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

What happens when AI stops being a tool and starts reshaping every task inside your company?

In this AI Answers episode, Paul Roetzer and Cathy McPhillips go through audience questions on where AI jobs are really heading, how agents and “AI ops” are emerging, and what to expect as reasoning models accelerate into 2026.

Show Notes: Access the show notes and show links here

Timestamps:

00:00:00 — Intro

00:03:55 — What AI Positions are in demand for professionals who are not coders? How can skill sets be presented to hiring managers?

00:08:49 — What are the top AI concepts that organizational communicators need to know?

00:10:56 — What should I focus on in AI?

00:13:21 — What do you think would be a good area to focus on as someone trying to break into the AI industry?

00:16:15 — Would you recommend prioritizing 'Generative' use cases or 'Predictive' use cases to achieve the quickest win?

00:18:45 — What’s the most innovative way to get started? Do we need a certain level of data hygiene first, or can AI help clean and organize the data as we go?

00:23:55 — Can you talk about what to be aware of and best practices for sourcing use cases?

00:28:25 — What is the best way to introduce AI tools to a technical/industrial workforce without causing 'replacement fear'?

00:30:47 — What would you say to people who are trying to move beyond the mechanical use of AI and actually trust the technology enough to use it in meaningful ways?

00:34:20 — How do you see AI-driven search tools impacting traditional search engines?

00:36:43 — As generative AI matures, what’s the next significant shift?

00:41:04 — Do companies understand AI well enough before reducing their human workforce?

00:45:51 — What are the main factors that could slow down the advancements of AI?

00:49:11 — As AI systems move toward recursive self-improvement, what guardrails are needed to ensure they aren’t learning from a distorted or incomplete view of the world?

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/

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

186 tập

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