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Greg Saxon

With over 20 years of diverse experience in operations, process excellence, and change management. I have a strong record of delivering operational turnarounds, EBITDA creation, and continuous improvement in all functions, leveraging my analytical, strategic, and leadership skills. I have successfully led large, complex projects in multiple industries, ranging from cryptologic intelligence to technology start-ups to global procurement. I am passionate about building a culture of safety and environment, team development, and human capital management. I hold a MS in Information and Telecommunication Systems for Business from the Johns Hopkins University and a BS in Quantitative Economics from the U.S. Naval Academy.
Shaping the Future of IT Asset Disposition: Trends, Tools, and ESG Imperatives for 2025 and Beyond

Shaping the Future of IT Asset Disposition: Trends, Tools, and ESG Imperatives for 2025 and Beyond

Join us as we explore the evolution of IT Asset Disposition (ITAD) practices over the past decade. Over the last decade, ITAD has evolved from compliance-focused to value-oriented, highlighting reuse over disposal and driving sustainable value recovery. Discover the latest trends in device retirement, asset tracking, and data security tools, and gain insights into the impact of ESG requirements on ITAD strategies. With IT spending expected to increase in 2025, this webinar will focus on how sustainability, security, and resource optimization are transforming ITAD and positioning it as a key driver of corporate responsibility.

AI in ITAD: Driving Efficiency, Profitability, and Growth

AI in ITAD: Driving Efficiency, Profitability, and Growth

Step into the transformative world of IT Asset Disposition (ITAD) where artificial intelligence is the catalyst for efficiency, profitability, and sustainable growth. In this session, discover how AI-powered solutions are revolutionizing the ITAD process by:

1. Enhancing Data Security: Implement AI-driven data erasure protocols that ensure complete and reliable data sanitization, leaving no vulnerability behind.
2. Optimizing Asset Management: Use AI to predict asset lifecycles, improve maintenance schedules, and maximize the longevity and value of IT assets.
3. Boosting Cost Efficiency: Streamline operations with AI to reduce overheads, minimize human error, and allocate resources more effectively for greater cost savings.
4. Ensuring Compliance: Automate the monitoring of regulatory requirements with AI, keeping pace with evolving industry standards while reducing manual efforts.
5. Maximizing Asset Recovery: Leverage AI to provide precise asset valuations, optimizing recovery value and profitability through smarter, data-driven decision-making.