Getting more for less is the consumer Holy Grail, but it’s rarely fulfilled.
Yet by integrating artificial intelligence (AI) solutions into our health system, this is exactly what Canadians could get: better care at lower costs, freeing up resources to deliver faster and more integrated care.
However, to fully realize health AI’s potential, researchers need better access to data collected by our publicly funded health system — something that current policies make challenging.
The pandemic highlighted the dangers of a strained health system and the domino effect on services and staff. Across Canada, health spending is the single largest budget item. Every dollar not used as efficiently or effectively as possible is money taken from other programs. To address current system pressures, we need sustainable solutions that don’t pit the needs of one service against another.
Investing in health AI innovation is not a silver bullet. But it could go a long way toward alleviating volume pressures and wait times facing the Canadian health system.
“to fully realize health AI’s potential, researchers need better access to data collected by our publicly funded health system.” Why is it difficult for research to get data from the Canadian publicly funded health system?
What are some ways that you can sensibly anonymize data?
Just removing someone’s name doesn’t make data anonymous. How can you figure out who someone is without knowing their name?
How do hackers break into your technology environment? According to our penetration testing services team, it often comes down to one missing patch. How do you avoid this fate? Let’s step through a recent penetration test that illustrates the latest hacker techniques. We’ll share how the pentest team finds the security gaps and some critical steps that stop attackers in their tracks.
The target: a professional services firm. The IT team had recently updated their systems and said it was unlikely that the penetration testing services team would find anything, but they wanted to do their due diligence (turns out, that was a very wise move!)
The client provided a list of IP addresses which anyone on the Internet could scan—and nothing else. From there, it was game on.
Executives widely believe in AI’s ability to deliver value. Ninety-two percent agree AI would make their organization run more efficiently, and individual industries report confidence in AI’s potential to solve some of their biggest challenges. Indeed, at organizations where AI has been adopted, the majority of executives say it is adding even more value than was promised. The retail industry is a leader on this front, with 69 percent of retail executives saying their organization’s AI initiatives are yielding more value. But even among the industries that are not as far ahead in this area—life sciences and government—at least half report similarly favorable results (50 percent and 54 percent, respectively).” In what ways can MIS majors be involved in AI initiatives?
Saskatchewan has become a hub for emerging ag tech, according to several industry experts. Plus, farmers in that province have a track record of adopting new technology and supporting local startups, says Sean O’Connor, managing director of Emmertech, a $60-million Conexus venture capital fund focused on Saskatchewan ag tech startups.
“Farmers are the most innovative business owners in Canada as far as we’re concerned, and they’re looking for new solutions,” he says.
“You can’t build ag tech companies on Bay Street. They belong in agriculture ecosystems, where you’re directly interacting with industry itself.”
“He has installed half a dozen weather stations across his property – third-generation land he farms with his family near Filmore, Sask., in the southeast part of the province – to make his operations more efficient. The stations track a variety of factors that affect crops, such as air and soil temperature, moisture levels and wind. The app, developed by a Saskatchewan agriculture technology company, helps him interpret the data.” The key here is not the “half a dozen weather stations”, it’s the “app, developed by a Saskatchewan agriculture technology company, [that] helps him interpret the data.” Data analytics is critical, but requires the correct data input. How can MIS be involved?
What other ways could sensors be used in combination with an app to help?
“In our work with financial services companies, we find the key lies in building AI-driven systems designed to encourage less historic accuracy but greater equity. That means training and testing them not merely on the loans or mortgages issued in the past, but instead on how the money should have been lent in a more equitable world.” It is worth making sure that students know how AIs are trained. Typically it is “machine learning” which means you feed in information to the AI, let it do its work to find the answer, and then tell it whether or not it got the answer correct. Over time it learns how to get the correct answer from the data it is given.
“by using AI, one lender discovered that, historically, women would need to earn 30% more than men on average for equivalent-sized loans to be approved. It used AI to retroactively balance the data that went into developing and testing its AI-driven credit decision model by shifting the female distribution, moving the proportion of loans previously made to women to be closer to the same amount as for men with an equivalent risk profile, while retaining the relative ranking. As a result of the fairer representation of how loan decisions should have been made, the algorithm developed was able to approve loans more in line with how the bank wished to extend credit more equitably in the future.” Use this example to explain how to correct for AI machine-learning inaccuracies
“Many of today’s solutions are pretrained on customer service data, require little development effort and natively integrate with existing contact center software. This eliminates the need for contact centers to hire their own machine learning experts or accrue thousands of hours of training data themselves to deploy an effective automation solution.” This is Software as a Service (Saas), cloud computing and low-code programming all in one. Make sure students understand these three concepts, and how they are all coming together.
What role can MIS majors play in the delivery of Software as a Service (Saas), cloud computing and low-code programming?
Robots in the workplace will look nothing like this. Robots in the workplace will be Robotic Process Automation, which is basically the same as Excel macros. They will complete a set of repetitive tasks such as doing all the accounting for an invoice that has been received by pdf. This is an important point to make with students.