DG

Diane Gutiw

Vice President - Global AI Research Lead at CGI
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Diane is the Vice-President of Analytics, AI and Machine Learning for CGI in Canada and leads a team of data scientists and data architects in supporting organizations implementing big data solutions. She holds a PhD in Medical Information Technology Management where she conducted doctoral research on medical AI/expert system solution modeling and adoption. Most recently, Diane is being engaged by organizations to assist in better understanding their data through data science, AI and machine learning to expand the scope of evidence-based decision-making.

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  • Synthetic Data: A Solution or a Threat to AI Models?
    Diane argues that synthetic data, when managed well, can address AI's biggest challenges, offering innovation without privacy risks. She highlights its ability to mimic real-world data, ensuring compliance and quality. Diane is open to discussing synthetic data's role in healthcare, retail, and transportation, and strategies to overcome its challenges.
  • Smaller AI Models: A Game Changer for Retail and Startups
    Diane notes that smaller AI models reduce infrastructure costs, aiding small businesses in inventory and customer service. "These models enable startups in logistics and retail analytics to thrive." As automation becomes accessible, low-code models ease skill requirements, increasing demand for AI-savvy workers without job loss.
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  • Taking our digital twins that already exist and extending it by adding the generative AI and explainable AI as the third sibling.

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