There has been a lot of hype around artificial intelligence (AI) over the last couple of years. The advances in AI,
machine learning and predictive analysis has come ahead in leaps and bounds, but are we really there yet?
There is little doubt that, in a world now driven by data, that AI will be the next big evolution in technology. Its
impact will not just be felt within the tech community, but by every single sector throughout New Zealand.
The primary sector has taken notice and is already preparing for this shift. NZ agritech companies are looking to lead
the way and are integrating elements of AI and machine learning into their systems.
“Artificial intelligence will be a major topic discussed at the upcoming agritech event, MobileTECH 2018,” said Ken
Wilson, programme manager for the MobileTECH 2018 event.
“This event is focused on promoting innovation through the use of smart data, attracts many of the country’s primary
industry leaders, tech developers and early adopters. AI is now at the forefront of technology development.”
Greg Peyroux, Managing and IT Director at Dunedin-based Iris Data Science, is one of the keynote speakers at MobileTECH
2018. He will be providing valuable insights on the development of AI, what is it exactly, and where the primary sector
will see the most benefits.
“In time, it is possible artificial intelligence will develop from being an accessory, to being integral to the
decision-making processes in our daily lives,” said Mr Peyroux.
A recent report by the US-based Gallup and North Eastern University, found that 85% of Americans are already using at
least one of six products with built-in AI elements. These include navigation apps like Google Maps, video or music
streaming services like Spotify and digital personal assistants like Siri.
Another report predicts that 38% of US jobs will be replaced by robots and artificial intelligence by the early 2030s.
The 2017 PwC report also noted, however, that job losses due to advances in technology is not a new phenomenon. This has
been happening since the early 19th century and, in most cases, it opens the doors for new jobs, skills and productivity
increases.
Initially, Google used machine learning to review images and blur faces, but quickly realised that the technology could
be used to automatically provide up-to-date information for their Google Maps app. Much of the same technology is also
being developed for the agricultural sector, enabling machines to visually detect, identify and process a range of
weeds, crops and fruit in New Zealand.
It would be fair to say that computers are now on par, if not better than, humans at viewing an image and making the
right decision based on that image.
The ability for machines to apply deep learning techniques, where mountains of data is quickly reviewed, trends
identified and insights generated, is significantly better than in the past.
This technology will provide a massive opportunity for all sectors.
“If you are unfamiliar with machine learning, then a proof of concept may be a good way to evaluate its potential with a
possible quick payback,” said Mr Peyroux. “Deep learning is currently dominating computer vision and a number of other
key development areas. I’m looking forward to discussing
this further with the industry at MobileTECH 2018.”
MobileTECH 2018 is running in Rotorua on 27-28 March 2018. Further details can be found on the event website, www.mobiletech.events.
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