Last year, the term “artificial intelligence” was catnip to investors.
London venture capital firm MMC published a report in 2019 that found startups claiming to work in AI attracted as much as 50 per cent more funding compared to other companies. That same report also found that 40 per cent of European startups classified as artificial intelligence companies didn’t use AI at all.
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But let’s be serious – artificial intelligence, and more specifically, its more approachable sibling machine learning – is an emerging technology that businesses are desperate to get comfortable with. Or at the very least, begin to understand at a fundamental level. According to a report from Deloitte, only four per cent of Canadians surveyed feel confident enough to explain what AI is and how it works. Only eight per cent of Canadian companies surveyed plan to increase their spending by more than 20 per cent in the upcoming year – 40 per cent fewer than the global average.
Day 2 of ITWC’s Digital Transformation Week was dedicated to navigating these complicated waters and highlighting some real-life applications of AI in business.
A panel hosted by SalePoint engineer Dana Reed led to some strong examples of AI helping a business in meaningful ways. Panellists included:
- Tanvir Bhangoo, VP Technology, Freshii
- Keith Bradley, Director of Information Technology, Nature Fresh Farms
- Carol Wilson, Director Advanced Analytics, Canada Post
- Jean-Philippe Couture, Director of Innovation, ProContact
Bradley highlighted how a small team at Nature Fresh Farms works hard to apply AI with surgical precision across its greenhouse farms. Its the latest application for AI? Bug detection. And no, not *that* kind of bug. “We’re looking at using AI to analyze how bugs are attacking certain plants,” Bradley explained.
Today’s #DTAwards panel on AI application:
Moderator: Dana Reed, sales engineer, SailPoint
Tanvir Bhangoo, VP technology, Freshii
Keith Bradley, director of IT, Nature Fresh Farms
Carol Wilson, Director advanced analytics, Canada Post
Jean-Philippe Couture, ProContact pic.twitter.com/vdujOIaGZu
— Alex Coop (@ItsJustAlexCoop) July 14, 2020
Bhangoo reiterated what many technology leaders have shouted from the mountain tops for years – understand the data you actually have and figure out what you want to do with it. Couture echoed those thoughts. As a value-added reseller, ProContact is on the front lines helping customers unpack their own data.
“There’s so much talk about how data is the new oil. But most of that data you have is probably noise. What we do, and what we tell everyone, is to start understanding the objective you’re trying to solve,” he explained.
Set goals, and keep the team piloting the tech small, suggested Bradley. “Four to five users,” he said.
Wilson said AI is a buzzword that has quickly become meaningless to businesses approaching the technology for the first time. This is also when they can be pressured into adopting something way too sophisticated.
“There’s almost always an easier solution,” she said.
‘Levelling the playing field’
There are more than 300 researchers at Montreal startup Element AI performing fundamental research, and always on the bleeding edge.
They’re working hard to uncover novel avenues in key AI research areas including computer vision, natural language processing and machine learning. In addition to simply discovery, the work is also meant to help “level the playing field” according to Anand Medepalli, head of solutions at Element AI. When you hear about Canada signing an agreement with Amazon Canada allowing the tech giant to distribute the country’s medical equipment, for example, it’s because they have a fantastic understanding of your data, he said. They also have a strong foundation to layer unique machine learning models on top of quickly. Medepalli says smaller enterprises can learn this power too.
Innovation in AI is a process. Amazon has got it down to a science – but others can too, he explained.
Anand Medepalli, Ph.D. head of solutions at Element AI is up next. #DTAwards. Element AI is based in Montreal and builds AI solutions for all kinds of customers. Stop looking at AI solutions the same way as other programmed solutions, he says. Predictability is often overlooked. pic.twitter.com/7Tgn5lBNRu
— Alex Coop (@ItsJustAlexCoop) July 14, 2020
And the winners are …
Two awards were presented Tuesday.