Busting 5 common myths about data
Think you know everything there is to know about data? We asked Laurens to uncover the truth behind five of data’s most common myths. Here’s what he thinks you should know:
Myth #1: More data means more knowledge. It’s not all about Big Data! It’s ultimately about quality over quantity. More data often means more noise and confusion. Less data, when it’s the right data, can help us uncover important patterns and urge us forward.
Myth #2: Data is beautiful. Data is ugly – it’s information and knowledge that are beautiful. Data without context is useless. It’s a combination of objective and subjective data that helps us learn more.
Myth #3: AI is a new technology. Like most technologies, AI has already been around for decades. It’s only recently that it’s started to reveal its potential and the ways it can have a big impact on our future.
Myth #4: AI is the Fourth Revolution. AI could be for our brains what the industrial revolution was to our muscles. I’m not sure that this is true, but I’m open to seeing where AI can take us.
Myth #5: AI and Big Data are dangerous. Yes, every technology has its down side. I’m personally focusing on the positive, because AI and Big Data both have incredibly positive applications. I feel honored that I get to design in this area full of new innovations and at the same time join ethical discussions about how AI will impact us at work and at home.