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Picture of Sandy Rezendes

Sandy Rezendes

Sandy Rezendes is a seasoned leader in talent development and corporate learning, currently serving as Head of Corporate Learning and Development at leading LMS provider D2L. She brings extensive experience from senior leadership roles at Ameriprise Financial Services, Manulife / John Hancock, Bank of America Merrill Lynch, Citizens Bank and Fidelity Investments. Throughout her career, Sandy has built a reputation for driving innovative learning strategies, fostering leadership growth, and creating cultures of continuous development. Her global expertise and results-driven approach have transformed learning organizations, enabling companies to adapt, grow, and thrive in today’s fast-changing business environment.
Picture of Sandy Rezendes

Sandy Rezendes

Sandy Rezendes is a seasoned leader in talent development and corporate learning, currently serving as Head of Corporate Learning and Development at leading LMS provider D2L. She brings extensive experience from senior leadership roles at Ameriprise Financial Services, Manulife / John Hancock, Bank of America Merrill Lynch, Citizens Bank and Fidelity Investments. Throughout her career, Sandy has built a reputation for driving innovative learning strategies, fostering leadership growth, and creating cultures of continuous development. Her global expertise and results-driven approach have transformed learning organizations, enabling companies to adapt, grow, and thrive in today’s fast-changing business environment.
AI and Performance expectations

AI Is Raising Performance Expectations Faster Than Companies Are Building Skills

The conversation around AI in the workplace often focuses on productivity. Organizations are investing heavily in AI because they believe it will help employees work faster, accomplish more, and improve efficiency. In many cases, that expectation is proving correct. What receives less attention is how AI is changing expectations for the people using it. As AI becomes embedded in everyday workflows, companies are beginning to expect employees to produce more output, complete work faster, and contribute at a higher level earlier in their careers. Work that once required several years of experience to complete can sometimes be accomplished with the assistance

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