The Necessity of Human Oversight in AI Data Accuracy

Our Intro to AI courses offer foundational insights into the world of artificial intelligence. Having completed 32 sessions, we've encountered a diverse array of questions from our attendees. In this week's podcast episode, we're excited to delve into the most frequently posed questions and provide insightful answers. We hope you enjoy this episode, and join us for our first Intro to AI for Marketers class of 2024 on January 11! 

00:05:27 — How does an enterprise go from “one-off” approaches to a more holistic AI strategy where tools and apps are chained together and are aligned to the ultimate goal of the company?

00:07:46 — How can I train AI on my company’s content?

00:10:38 — How much concern should I (my company) have about the content we feed into these public models? How do we keep data privacy top of mind?

00:12:24 — What is (or what will be) generative AI’s impact on search? How can marketers and businesses mitigate risk or stay ahead?

00:14:34 — To what extent does success with AI require good data? Should we be using the potential of AI as a trigger to elevate a culture of data hygiene across our organization?

00:15:56 — What are your best recommendations for agencies looking to take their teams (or their leadership team) on this journey?

00:18:25 — Once AI usage in marketing scales and matures, how will it impact the marketing team structure, and certain roles & responsibilities?

00:23:03 — In which marketing roles/functions are you seeing the greatest increase in efficiency or productivity?

00:25:44 — What are the pros and cons of using ChatGPT in the workplace?

00:29:21 — What advice do you have for marketers eager to take your advice who are hamstrung by overly restrictive AI policies from risk-averse legal teams? Is there support for pushing back?

00:32:07 — Are there prompt engineering rules or best practices to help validate the accuracy of data included in the content and also avoid controversial topics/language?

00:36:32 —What suggestions do you have for AI development for small companies with a specialized market focus?  

00:39:04 — What marketing processes/tasks do you feel can/will benefit most from GenAI? Which ones do you feel are least likely to benefit? 

00:41:06 — We talked a little on the last Intro to AI class about AI for lead gen. You had some good thoughts about thinking bigger than generating leads, and more about the content needed, analysis being done, etc. Can we talk more about that?

00:43:59 — What’s the best way, the best tool, the best use case to get started? 

Algomarketing connects ambitious B2B enterprises to the competitive advantages of the autonomous. Their workforce solutions work to unlock the power of algorithmic marketing through innovation, big data, and optimal tech stack performance. Visit Algomarketing.com/aipod and find out how Algomarketing can help you deliver deeper insights, faster executions, and streamlined operations through the power of AI.

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