Is 2017 the year of machine learning?

by L&D13 Jan 2017
Statistics and predictive analysis have been around for a long time, but what’s different today is that we now have the tools to use them for almost everything, Aytekin Tank – founder and CEO of Jotform – writes in the Entrepreneur.

With the AI revolution here to stay, Tank says that for the first time in history, machine learning is not only available to big companies like Google, Amazon or Apple. Start-ups have started building products and services using machine learning.

So what does this mean for organisations and their learners in 2017?

For starters, says Tank, we can take advantage of machine learning to create more powerful experiences.

Breakthroughs in machine learning aren’t the only reason this is a big moment for this practice. Just as important is that over the last five years, machine learning has become far more accessible to non-experts, opening up access to a vast group of people.”

Tank includes some examples below:
  • Forkable uses machine learning to figure out what you want for lunch before you know it -- automatically delivers it.
  • Dark Trace listens to your company’s network traffic and uses machine learning to detect emergent security threats.  
  • Nova uses machine learning to write personalised sales emails. It knows which emails performed better and suggests changes to your sales emails.
  • Blue River Technology creates equipment for farmers that uses machine learning and computer vision to diagnose and treat each plant individually.  
  • Sift detects online fraud and prevents chargebacks using machine learning.
Machine learning can be used as a competitive advantage.
Machine learning can also be a competitive advantage for learners and their organisations, says Tank. He uses an example from his own company.
“Our industry is in deep trouble with phishers. These criminals attempt to use our product to create phishing forms to trick people into entering their credentials for other websites,” he explained.
“Our machine learning-based tools allow us to detect who should be banned and who should have access to our product. As a result, we‘re able to continue to serve our legitimate users while our competitors embarrassingly block their websites to entire countries.”
By using machine learning to detect possible phishing activity allows the company to continue to provide its free service all over the world, while keeping the bad guys out.
“Look carefully at each thing that is currently being done manually in your industry,” Tank recommends.

“Every one of those tasks will be done tomorrow using machines. Entrepreneurs who disrupt their industries with machine learning will be the big winners of tomorrow. The machine learning revolution is here to stay. Join the revolution.”