Miguel Jetté

What would you do with an extra 19 hours a week? That’s how much time doctors spend on administrative tasks, according to the Ontario Medical Association. Thanks to AI Scribe, what once took 4 hours/week to write up patient visit notes, can now be done in minutes. Now think about your own daily grind. How much time is spent on administrative tasks that could be automated away. Like actually do that… write it down. Get your team to do it. I’ll wait. It’s not about taking over someone’s job- it’s about taking over crummy, soul-crushing, little-value-but-has-to-be-done tasks. If you want to explore how your enterprise can take advantage of these types of productivity gains in a safe, responsible way, let’s chat. [email protected] CATO AI AI Solution Exchange https://lnkd.in/gGJcr66n

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Today is #GAAD. in 2018, I gave a #a11y talk on AI and images at the incredible #a11yTO - Accessibility Toronto Conference, and how it was being used to *attempt* to automate alt. text. It was called: ✨ fAuLT TEXT: Adversities in Automated Alternative Text ✨. I gave it again in 2021 for REFACTR.TECH. Eye opening. I do plan on updating it after all these *advancements* and updates in AI/ML, so I'm curious. Regardless, enjoy: https://lnkd.in/eZ74_Zxb

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Retrieval-Augmented Generation (RAG) has transformed how we ground LLMs in reliable data sources. But what happens when your knowledge base includes images like charts or photos? 🤔 Enter multimodal RAG—a game changer that lets you integrate image sources into your RAG workflows for more comprehensive answers. 🛠️ In this blog, Pamela Fox walks us through the process of setting up multimodal RAG in your own applications—from integrating image embeddings to handling citations from image sources. https://lnkd.in/gjiVzxWX Are you ready to level up your RAG applications? 🚀 P.S. If you found this post helpful, repost ♻️ and let others in your network know about multimodal RAG! #AI #msftadvocate

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AI is changing all industries, touching all users, shaping future roadmaps. Join me along with my fellow panelists Olia Stasiuk, Shahed Khalili Mark Masongsong & Veronique Nell, P.Eng as we tackle this hot topic tomorrow with William Johnson at the Vancouver Tech Journal AI Adoption Equation event tomorrow.

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Where do I start with AI? 🤔 Every week, I talk to dozens of organizations, and a common theme is: “Our company wants/needs to use AI, but we don’t know where to start.”… Sometimes, they know where to start but are unsure if it's worth the time spent. So the first thing I tell them is: Show me the data! Data isn’t just a component of AI; it’s the foundation. Successful AI projects hinge on the quality of data available — its accuracy, timeliness, and relevance to the use case. A common pitfall for many organizations is the misconception that more data equates to better outcomes. However, the truth lies in relevance and quality. Conduct thorough data audits: Begin by meticulously examining your existing data assets. Assess the cleanliness, organization, structure, and timeliness of your data. Identifying any inconsistencies, redundancies, or gaps that might compromise your AI initiatives is crucial. Key Takeaway: Foster a culture of continuous improvement in data management. Regularly refine your data collection and processing methods to align with your evolving AI goals. #AI #GenAI #Data #Framework

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Here are more details about my idea. Would love to hear your feedback! #AI #Innovation Vancouver AI Space

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Woo! Anthropic has finally made Claude/Claude Pro available to Canadians. Very happy to have direct access to it for testing. I also like the fact that they explicitly say they don't train on the data from interactions. For reference; "By default (and just like our beta version of Claude.ai), we will not use your prompts and conversations from Claude Pro to train our models. There are two instances in which we may use your prompts and conversations to train our models: (1) if you give us explicit permission by submitting feedback through the thumbs up/down feature or by reaching out to us with a request, and (2) where your prompts and conversations are flagged for trust and safety review, we may use or analyze those conversations to improve our ability to detect and enforce Usage Policy violations, including to train Trust and Safety classifiers in order to make our services safer. Only a limited number of staff members have access to conversation data and they will only access this data for explicit business purposes." #anthropic #ai #claude #claudepro #Canada #access

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I'm excited that this week at the CAIAC - Canadian Artificial Intelligence Association conference George Wang will be presenting a paper Adaptive Learning Rates for Gradient Boosting Trees, based on work he did as an intern at Kinaxis last fall, in collaboration with Christopher Wang, Yunfei O., Behrouz Soleimani, PhD. There are 3 reasons this is both impressive and cool: 1. They combine heuristics, machine learning, and optimization to speed up the training for an important algorithm, Gradient Boosted Machines, widely used in both academia and industry. Faster training improves model performance. 2. This paper is just one of the many sparks of innovation in #artificialintelligence coming out of Kinaxis, where > 50% of our patents filed in the last several years have been in this space, because we continue to push the boundaries by inventing new solutions like this one to solve problems our customers face. We've been delivering AI to the market since 2018 and were the first to provide solutions powered by AI to address both demand and supply. We are rooted in Canada, which brought the world out of the last AI winter in 2012 when a team from the University of Toronto won the famous Imagenet competition by blowing the lid off previous results. Their submission was layers of neural networks called deep learning, which later became the foundation for the #generativeAI revolution we are seeing today. 3. We have an outstanding intern program in #machinelearning at Kinaxis, where interns work on real problems, guided by senior staff. As a testament to letting the students shine, when their paper was accepted they decided to have George present it. So check out the paper if you're at the conference, but if you miss the event you can't miss the fact that we are actively speaking and sparking on AI. In fact, just last week Chantal Bisson-Krol spoke in Edmonton at the #upperbound conference on AI-Powered Strategies for Resilient Supply Chains and I spoke at the Reuters Supply Chain USA event on Embedding AI in supply chain to deliver end-to-end value.

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“AI was supposed to revolutionize 💊drug discovery. It hasn’t.” #IrrationalExuberance Interesting cover story (above the fold) by Sean Silcoff and Joe Castaldo at The Globe and Mail: https://lnkd.in/gCeVzMcc 💡IMO There needs to be better awareness and expectations (and ethics) around #AI innovation (and more 🇨🇦 Canadian innovation positivity). This is #DeepTech impact research where investor expectations of time horizons need to be in decades (not yesterday) and where exploration is seen as impactful learning (positive) rather than another Canadian startup failure (negative). “One of the promises of machine learning was better drugs, faster. A decade in, AI has failed to live up to the hype.” The general public has no idea the computing evolution that started as machine learning and has now evolved into computers capable of artificial intelligence (AI), generative AI, and quantum computing. #Quantum computers (basically all knowing god-like computing seen in the show Westworld) will achieve what would take AI computers decades of scientific AI research development, and do it in seconds. So does failed expectations mean that current research is a failure? No. We simply need more accurate expectations. Research and innovation requires time, a ton of money, and - most importantly - optimism. Hope. 💡🔥🚀 #Innovation #CorporateInnovation

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We are at the dawn of a new era where artificial intelligence is revolutionizing scientific discovery. From predicting molecular structures to aiding in the identification of new materials, AI is accelerating the pace of innovation and contributing to breakthroughs that were once thought to be decades away. The recent Nobel Prizes highlight the importance of these advancements, proving that AI is becoming an indispensable tool in the scientist's toolkit. I'm excited to share our latest article, "An AI-infused Framework for Scientific Discovery," where Anand and I demystify the concept of AI for Science and provide a straightforward framework to understand its potential. Dive in to explore how AI is transforming research and enabling new frontiers in science. Read the full article here: https://lnkd.in/divhhTxh #AI #Science #Innovation #Research #ScientificDiscovery

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One of the emergent capabilities in LLMs is Theory of Mind (ToM) which is a psychological framework used to understand how humans communicate, each forming their own state machine of the other’s state of mind. The idea that AI could really exhibit ToM has been highly debated ever since Michal Kosinski wrote about it. This new study in Nature Portfolio digs in deeper, teasing apart various elements and evaluating LLMs against human baselines. Reading this study - including differences between the models’ behavior - I am wondering if LLMs may appear as “humans” from a different culture, and if that metaphor “normalizes” human machine interaction vis-à-vis human perception of the machine. #llm #AI #openai #llama

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The 2024 Nobel Prize in Physics has been awarded to John J. Hopfield of Princeton University and Geoffrey E. Hinton of the University of Toronto, whose pioneering work laid the foundation for the machine learning algorithms that power today’s artificial intelligence revolution. By merging principles of physics with computational models, their breakthroughs in artificial neural networks have enabled computers to detect patterns in vast datasets, transforming industries from healthcare to finance. Hopfield and Hinton's research has made technologies such as facial recognition and language translation feasible, positioning their discoveries at the heart of AI systems that influence modern life. Their work in training artificial neural networks, inspired by the biological processes of the brain, has not only deepened the scientific understanding of cognition but also driven advancements in automation and decision-making. At a time when AI is reshaping economies and global governance, this recognition underscores the profound impact of fundamental research in physics on the future of technology. https://lnkd.in/ed5TDuPB

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Cohere CEO Aidan Gomez says that #1 blocker for Enterprise GenAI use cases is data privacy and #2 blocker is the cost (implies ROI). He also explained what Canadian AI startup, Cohere does and how they make money. A must watch for anyone who is interested in Enterprise GenAI use cases. He also said that GenAI fear mongering is cheap ways to get attention (I am paraphrasing, he didn’t use the word cheap). Quite a bit commentary on Google Cloud AI developments as well. Other mentions Oracle and Massachusetts Institute of Technology. Aidan comes across as a mature tech leader for his young age. He sounds more realistic and less me too, in GenAI hyped era. Aidan was talking to CNBC’s Steve Kovach. https://lnkd.in/g36SFYfn ____________________ Last month, Cohere has raised $450 million in funding from returning investors such as Nvidia and Salesforce Ventures, as well as new investors including Cisco and Canadian pension fund PSP Investments cc David Vellante David Linthicum John Furrier Ron Miller Shelly DeMotte Kramer Robert Hof

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We’re excited to announce that Erode AI will have a booth at this year’s Innovation Week 2024: Startup Studio Station in Calgary! Last year, we had an incredible time engaging with the community, sharing ideas, and learning from others who are passionate about innovation. This year, we’re bringing even more to the table. Erode AI is revolutionizing weather forecasting with cutting-edge generative AI technology, and we’re excited to show you how far we’ve come. Whether you’re in energy, agtech, insurance, or curious about the future of weather forecasting and weather-derived outcomes we’d love for you to stop by! 👥 Let’s talk about the challenges you face in your industry and how hyper-focused, AI-driven forecasting can help you solve them. 📅 Save the Date: 👉 When: November 20, 10am - 3pm 👉 Where: Platform Calgary #InnovationWeek2024 #GenerativeAI #WeatherForecasting #YYCInnovation #ErodeAI #Startups #FutureOfForecasting

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Just came across Anthropic's latest release "Computer Use" — AI that can use a computer and browse websites like a human! 🚀 This will undoubtedly fuel new AI use cases in our daily lives. Think about the evolution we've witnessed: - Accessibility: Websites became inclusive for people with disabilities (screen readers, alt text, keyboard navigation). - SEO Optimization: Implementing `robots.txt` and `sitemap.xml` to become search engine friendly. - Mobile Internet: Transitioning to mobile-friendly sites like `m.website.com`. - Responsive Design: Adapting to various screen sizes for a seamless user experience on any device. Now, we're on the brink of the next big shift: - Voice-Friendly Interfaces: Integrating voice as both input and output, thanks to advancements like OpenAI's voice capabilities. - AI-Friendly Platforms: Designing websites and apps that allow AI to navigate autonomously—filling forms, downloading files, and more. This new wave means we need to rethink and update our websites and apps to interact not just with humans, but with AI "actors" as well. Soon, we need to consider: - How can we optimize our websites and apps for AI navigation? - What new protocols or standards will emerge to facilitate AI interactions? - How will this change user experience design and development priorities? Exciting times ahead! 🤖 All for AI and AI for all :) Read Anthropic announcement here: https://lnkd.in/gMTStDma #AI #generativeAI #AIFriendly

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Powerful look at NVIDIA NIM in action! Therapyside is using NIM to enhance their therapy platform with virtual assistants that can take notes in sessions, letting therapists focus on connecting with their clients. Read more: https://lnkd.in/efeKKABC #AIagents #AIinaction #generativeAI

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I've just attended the ALL IN 2 day event here in Montreal, where I had the privilege of connecting with some bright minds. A big thank you to IVADO Labs for the invitation and to all the speakers who shared their expertise. It was particularly exciting to see our very own Fatih Nayebi, Ph.D. as a panelist, discussing the use of AI in the retail sector. There are many interesting and important use cases and application of AI in various sectors but IMO, the health/healthcare along with agriculture, represents some of the most promising areas for AI to address crucial global challenges. Although agriculture wasn't covered in this event, I'm fascinated and curious by AI's potential in this sector to optimize crop yields and enhance food security worldwide. However, the healthcare panel I attended, showcased AI applications for patient care and accelerating medical research. Here are key takeaways I noted: - Drug Discovery: Valance Labs is conducting 2M weekly experiments by combining AI, chemistry, and biology to automate and expedite the drug discovery process. We don't have enough data! - Home Healthcare: AI is optimizing scheduling and admin work, allowing nurses more patient time. - Personalized Medicine: Google DeepMind is developing models for personalized patient care, tailoring treatments to individual needs. - Rare Disease Research: Medeloop is democratizing research with AI agents analyzing vast patient data, making breakthroughs more accessible. - Predictive Healthcare: AI models are being used to predict hospitalization probabilities based on home care data, enabling proactive interventions.

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A must-read! Thanks, Tim Sanders for the recommendation and the book itself! Not just due to their Canada-connection, Ajay Agrawal, Joshua Gans, and Avi Goldfarb packed this ~200-page book with not just facts and figures, but frameworks and fascinating, fantastic food for thought. One key takeaway for me is to cut the use of 'insights' from my vocabulary when it comes to the impact that #AI brings to businesses (insights on the tech and trends are still great though, heck our team is called the Research Insights team). When we think about the power that AI is bringing to enterprises, it is all about its impact on 𝕡𝕣𝕖𝕕𝕚𝕔𝕥𝕚𝕠𝕟𝕤 and 𝕕𝕖𝕔𝕚𝕤𝕚𝕠𝕟𝕤. Saying that it helps businesses generate or gain insights is too surface level and not getting to the core of AI's capabilities. Business leaders, take note: focus on what predictions your businesses rely on and then figure out if, how, and when AI can come and improve them.

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