The Track
A Section Blog
Yes, you will lose your job to AI
How Cascade took on its biggest competitor: the sink
Want to attack your real competition instead of the company down the road no one knows about? Learn how Cascade depositioned their number one competitor: the sink.
4 steps to attracting and keeping the best talent in business (even if you're not Google)
You don't need to be a big tech firm to attract, recruit, and retain the best talent. Here's our four-step process for doing it right.
5 research-backed secrets to get employees to engage in learning
L&D faces an age-old challenge: How the heck do you get employees to prioritize and engage in learning? We've been focused on learning engagement for three years. Here's what we've learned.
How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.
AI hallucinations aren’t a big deal
It’s hard not to hear that AI hallucinates and not have a few alarm bells go off. But ‘hallucinations’ is a loaded word. Machine & Partners’ Edmundo Ortega is back to explain why they’re nothing to worry about.
When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
