In this week’s episode, Katie and Chris discuss recommendation engines. These seemingly straightforward pieces of technology control enormous aspects of our daily lives, from what we buy to what news we’re exposed to. How should your marketing strategy incorporate recommendation engines, and how do you know when recommendation engines are at work? Tune in to […]
Read More… from {PODCAST} In-Ear Insights: The Power and Danger of Recommendation Engines
In this week’s In-Ear Insights, Katie and Chris discuss how artificial intelligence impacts corporate culture and vice versa. Learn about the two different types of organizations, use cases for AI in corporate management, and the hidden danger of AI and institutional knowledge in your corporation. Watch the video here: Can’t see anything? Watch it on […]
Read More… from {PODCAST} In-Ear Insights: Artificial Intelligence and Corporate Culture
In this week’s In-Ear Insights, Katie and Chris discuss whether AI and machine learning will imperil the career of the data scientist. What is data science, and how much of it can be automated and handled by machines? Tune in to find out. Watch the video here: Can’t see anything? Watch it on YouTube here. […]
Read More… from {PODCAST} In-Ear Insights: Will AI Wipe Out Data Science Jobs?
This post originally appeared on the Marketing Artificial Intelligence Institute blog and was republished with permission. You can read the original here: https://www.marketingaiinstitute.com/blog/what-happens-to-marketing-when-ai-can-write-like-humans The simplest way to understand artificial intelligence is to think about it as a set of technologies and algorithms that are designed to make machines smart, to give them human-like capabilities […]
Read More… from What Happens to Marketing When AI Can Write Like Humans?
This post originally appeared on the Marketing Artificial Intelligence Institute blog and was republished with permission. You can read the original here: https://www.marketingaiinstitute.com/blog/do-i-need-ai-the-question-every-marketer-should-be-asking Do you need AI? Given all the hype, and forecasts of trillions of dollars in annual impact, whether you need AI in your marketing is a logical question to ask. But, […]
Read More… from Do I Need AI? The Question Every Marketer Should Be Asking.
In this episode, Katie and Chris discuss the different levels of complexity when it comes to AI and machine learning in marketing. What’s the difference between AI and data science, and when should you focus on one or the other? What cautionary tales should marketers understand before positioning a product as powered by AI? Tune […]
Read More… from {PODCAST} In-Ear Insights: Simple and Complex AI in Marketing
In this week’s In-Ear Insights, Katie and Chris talk about AI applications and distractions. How important is it that you know the technology? What level of depth is necessary for marketers to make marketing technology work for them? Tune in to find out! Watch the video here: Can’t see anything? Watch it on YouTube here. […]
Read More… from {PODCAST} In-Ear Insights: AI Applications and Distractions in Marketing
In this week’s In-Ear Insights, Katie and Chris talk about the newest advances in natural language generation and walk through an example of what’s available now for creating content with the assistance of AI. Watch the demonstration, listen to the implications for marketers, and start formulating your AI-based content marketing strategy. Tune in to find […]
In this episode of In-Ear Insights, Katie and Chris dig into the announcements around Google’s newly announced AI model for advanced search, MUM, or the multitask unified model. Learn what MUM is, why it should matter to content producers, and how to think about adapting your content strategy to deal with what could be a […]
Read More… from {PODCAST} In-Ear Insights: Google MUM, SEO, and Content Strategy
In this episode of In-Ear Insights, Katie and Chris tackled the thorny ethics of what you put in your AI models, based on leaked memos from Tiktok allegedly discriminating against protected classes. How do we know when an AI model is behaving badly by accident and by design? What are the steps we should take […]
Read More… from {PODCAST} In-Ear Insights: Ethics, Explainability, AI, and Tiktok
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