This artificial intelligence (AI)-based “conversational agent” could transform simple user queries into a multitude of texts, including essays and speeches, in moments. Its capabilities already exceeded what industry experts believed possible in the near future.
Several experts, including some of the pioneers of AI, were so impressed by how quickly the technology evolved that they began raising yellow flags: this tool could lead to an existential crisis if it continued to progress so quickly and without too much regulation.
However, Canadian companies made a point of not ignoring a technology that could disrupt their activities or bring them efficiency and savings.
Even before ChatGPT, several companies were already working with “large language models” (GML), the algorithmic basis of AI, which takes natural language input and predicts the next word based on what the system has already processed. Others saw ChatGPT as a catalyst that convinced them to start investigating.
See why some Canadian companies have used AI and GML:
The Montreal-based payment software company uses AI to improve restaurant menus and sales.
AI helps restaurant owners capture and update POS software with new menu items in seconds. It can also translate the restaurant’s menu into other languages and offer information about the most popular dishes or those that encourage regular customer return.
Royal Bank of Canada:
The Toronto-based bank offers a product called “Nomi,” which uses AI to recommend personalized monthly budgets to customers based on their individual spending habits. “Nomi” detects customers’ main spending categories, such as transportation, shopping, restaurants, entertainment and cash withdrawals, and lets users know whether they are over or under budget based on their usual spending habits.
The bank also uses an AI-based trading platform called “Aiden”, which applies deep learning – an advanced form of machine learning under the umbrella of AI – to stock markets.
The Ottawa-based e-commerce software company recently launched a suite of AI tools capable of writing product descriptions, email subject lines and headlines for online stores.
The package includes “Sidekick,” a chatbot that Shopify business customers can use to ask questions like “Why have my sales decreased?” or “How do I set up a promotion?”
Harley Finkelstein, president of Shopify and co-founder of “Firebelly Tea,” has tinkered with this technology, using it to write product descriptions for his business and to summarize long articles to decide if they’re worth publishing.
Sun Life Finances:
The Toronto-based insurer recently tested an AI-based program to help developers code faster and more accurately, and launched a virtual assistant pilot that leverages AI to reduce administrative tasks so staff can focus on more important tasks. complex.
The company will then focus on exploring how AI can help provide faster services in its call centers.
The Vancouver telecommunications company has its own suite of generative AI tools available for internal experimentation. Until now, they have been used to speed up the time needed for administrative tasks, thereby increasing productivity, efficiency and innovation, Chief Information Officer Hesham Fahmy said in an email.
The Waterloo, Ontario-based company, which evolved from a smartphone maker to a cybersecurity company, is now known for its “Cylance AI” products, which help users detect malware and prevent cyberattacks.
In October, the company also introduced a generative, AI-powered “cybersecurity assistant” that predicts customers will need to provide information proactively, rather than requiring users to manually ask questions.
The Aurora, Ontario-based auto parts maker has deployed “Mavis,” a secure ChatGPT-style environment where staff can explore potential AI use cases, Boris Shulkin, chief digital and insights officer, said in a statement to press.
The Toronto technology company created “Open Arena,” a GML environment where staff can experiment with generative AI.
Employees, such as customer support representatives, use technology to get quick responses from documents or websites, summarize and check the points they will make, and begin first drafts of documents, spokesman Kent Carter explained in an email.