
Today’s post is from a brilliant friend of mine, Paul Golding. I first met him over a decade ago when he was a technology wizard for 02, a large UK mobile provider. Since then, he has continued to stay on the leading edge of a variety of technologies, including Artificial Intelligence (AI).
In this article, Paul outlines five of the biggest misconceptions that are preventing many businesses from unleashing the power of AI – and why you should double-down on AI during an economic downturn.
I know you’ll enjoy this!
Recent advances in AI have been staggering. Yet, business leaders in all sectors, even with strong IT competencies, continue to misinterpret the uses and benefits of AI. They do so at their peril, especially in the current downturn.
Misconception #1 – “AI is Exotic and Futuristic”
Folks see the crazy world of machines that make art, write essays, or drive cars, and proceed to position AI in their mind as some kind of exotic technology done by brainiacs working at Google. AI is simply a method to find predictive patterns in data, patterns so subtle that humans cannot see them — patterns with economic value for your business.
AI can find patterns in manufacturing data, sales data, user data, marketing data, pricing data, logistics data, fitness data, health data, inventory data — your data. If you have data, you can use AI right now to boost your business, including your bottom line. The true economic power of AI lies in the mundane, not the exotic. For the curious, read my post about why AI can find patterns (warning — it’s long).
Misconception #2 – “AI is for Experts”
Whilst it’s true that impressive demonstrations take plenty of brainiac talent, the bulk of AI applications are within your reach. Notably, the Fast AI course, specifically aimed at AI newbies, has generated many students who, despite having never seen an AI algorithm or read an AI scientific paper, went on to achieve performance breakthroughs in their domains. Many of those achievers had no technical background, except for some basic coding skills. Continue reading >>