Driving Sustainability: How IBM and EY Collaborate to Transform ESG Reporting

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This is a podcast episode titled, Driving Sustainability: How IBM and EY Collaborate to Transform ESG Reporting. The summary for this episode is: <p>Dive into a compelling discussion from London, where Victoria Thomas of IBM, Charlie Murphy from EY, and James Hobbs of IBM for Envizi delve into the transformative power of sustainability in business. Discover the innovative collaboration between EY and IBM, aiming to streamline and automate sustainability practices, and how leveraging technology like AI can significantly impact ESG reporting and regulatory landscapes. If you're intrigued by the intersection of technology and sustainability, and how it drives long-term business success, don't miss out on this insightful dialogue.</p><p><br></p><p><strong>Listen in for:</strong></p><ul><li>[01:47&nbsp;-&nbsp;02:55] Transforming Business for Sustainability: Automation and Emission Reductions</li><li>[06:36&nbsp;-&nbsp;07:33] Navigating the Future: Embracing Regulation for Sustainability and Compliance</li></ul>
Transforming Business for Sustainability: Automation and Emission Reductions
01:07 MIN
Navigating the Future: Embracing Regulation for Sustainability and Compliance
00:57 MIN

DESCRIPTION

Explore the dynamic partnership between EY and IBM in advancing sustainability practices for organizations worldwide, as discussed by Victoria Thomas, Charlie Murphy, and James Hobbs in a lively London session. Discover how leveraging IBM's Envizi platform and EY's global sustainability managed services can streamline ESG data collection, enhance reporting accuracy, and drive effective decarbonization strategies. Dive into the future of sustainable transformation and the critical role of technology and expert collaboration in meeting escalating ESG reporting requirements.

Today's Guests

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Charlie Murphy

|Global Sustainability Managed Service Offering Leader, EY
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Victoria Thomas

|Technology Alliance Leader, IBM
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James Hobbs

|EMEA Envizi Sales Leader, IBM