GoEasyCare conquers healthcare worker scheduling with GenAI

Caring for people instead of caring for software Healthcare workforce management in Canada is defined by complexity. For facilities such as hospitals and Long Term Care, optimizing staffing is not as simple as calling up available healthcare workers to fill a shift. Instead, a unionized system assigns hierarchical priority to every worker, as well as […]

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SADA Cloud Concierge

SADA Cloud Concierge services come to Google Cloud Next: 3 steps to mission impact

Technology alone won’t transform your business. Technology + dedicated expertise will. That’s the philosophy at the heart of SADA’s Cloud Concierge services, available in booth #1110 at Google Cloud Next in Las Vegas, April 9-11. As conveyed in the video above, the SADA Cloud Concierge team will be available at Google Next to help your

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Decoding Multi-Cloud Integration for Technology Leaders with SADA and Insight

Join Miles Ward, CTO of SADA, and Juan Orlandini, CTO at Insight, in an enlightening episode of Cloud and Clear, where they delve deep into the evolving multi-cloud environment. In this episode, they dive deep into the evolving landscape of multi-cloud technology, sharing insights and experiences from their respective careers. They explore the journey of

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bias in GenAI

Confronting bias in GenAI output: A rational argument for Google Gemini

Summary: In this blog post, SADA Associate CTO of AI/ML Simon Margolis tackles recent reports related to Google’s release of the generative AI tool Gemini. Learn how Google provides developers with the means to make adjustments to output, confront bias in GenAI, and prevent potentially offensive content.  Google Gemini: Causing offense or creating opportunity?  By

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Building Responsible AI with Insights on Data Practices | TES

Dive into the complexities of responsible AI with Brian Suk, Associate CTO for Data Engineering and Analytics, in an engaging episode of the Technical Empowerment Series. Brian expertly navigates through the critical areas of data integrity, curation, and governance, demonstrating how these pillars are essential for developing AI that is fair, unbiased, and beneficial to

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