Why Machine Learning will be part of the business model
Machine learning is the ‘new normal’
We are surrounded by machine learning, it is “under the hood” of systems we use every day, says Olivier Klein, head of emerging technologies for Asia Pacific at Amazon Web Services.
These systems can range in the spam filter for emails, to the facial recognition systems used at airports.
“Cloud is normal, machine learning is the new normal,” says Klein.
Klein says machine learning helps organisations create new and seamless experiences for customers, or citizens, in the case of government agencies.
This can be through the use of a natural interface such as voice or facial recognition to create a frictionless experience for users.
“Moving forward, it will be very natural to talk to computer systems,” he says.
Klein, who spoke about the ubiquity of AI and machine learning at the AWS Summit in Sydney, says Amazon has been investing in machine learning for the past 20 years, using the technology in providing customer recommendations on its website, in Kindle, and in delivering packages using drones.
Klein says Amazon Echo and its voice controlled personal assistant service Alexa are examples of machine learning technologies that are now being used in business.
He says when Alexa was launched in Australia and New Zealand, a lot of businesses built their skills in order to use this as an extra channel for customers.
Alexa for Business, meanwhile, can allow users to use their natural voice to dial into meetings, schedule meeting and control equipment in the room such as air conditioners.
The key is to remove friction and to democratise machine learning models, says Klein.
“The goal of AWS is to put machine learning in the hands of every developer, every data scientist, every IT staff”. They will have this fully managed machine learning services like Amazon Lex, Amazon Polly or Amazon Rekognition, and just straightaway use it, he says.
Experiment and build
Tim Dacombe-Bird, AWS New Zealand country manager, says trials on machine learning are happening across industries in New Zealand.
He says organisations can try a number of building blocks to get into machine learning.
“We have the tools available, they are inexpensive and they are available today.”
“The important thing is to be experimenting with it and trying things to understand how it can benefit the business,” says Dacombe-Bird.
“You need to define the problem that you are trying to solve with the technology. Once you have got the definition around that, then it is going to be a lot easier to solve these problems.”
Alexa, he says, is a great example of this, with organisations such as Air New Zealand, Mercury and Westpac building their skills around this technology.
He says one of the things AWS provides to organisations is the ability to aggregate their data into a data lake.
Read the full article in CIO.co.nz.