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Description

Brandon Daniels and Joe Lynch discuss modernizing supply chains. Brandon is the CEO of Exiger, a global risk and regulatory intelligence company that helps organizations build resilience and achieve sustainable growth.

About Brandon Daniels

Brandon Daniels is the CEO at Exiger, where he’s pioneering the development and scaling of the innovative AI applications to solve complex supply chain challenges for Fortune 500 companies and 40+ government agencies. The seasoned tech executive has been tapped by the world’s most influential organizations to resolve high-profile crises, navigate complicated risk environments, and respond to urgent business problems with cutting edge technology – from the mid-2000s financial markets regulatory overhaul to supply chain management for the COVID-19 Joint Acquisition Task Force. Prior to Exiger, Brandon served as President of Clutch Group and Vice President of CPA Global. Throughout his career, he’s appeared in virtually every major business outlet, including CNBC, Fox Business, Financial Times, The New York Times and The Wall Street Journal.

About Exiger

Exiger is revolutionizing the way corporations, government agencies and banks navigate risk and compliance in their third-parties, supply chains and customers through its software and tech-enabled solutions. Exiger’s mission is to make the world a safer and more transparent place to succeed. Emboldening its 550 customers across the globe, including 150 in the Fortune 500 and over 50 government agencies, with award-winning AI technology, Exiger leads the way in ESG, cyber, financial crime, third-party and supply chain management. Its work has been recognized by 40+ AI, RegTech and Supply Chain partner awards.

Key Takeaways: Modernizing Supply Chains

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Episode Sponsor: Wreaths Across America

Wreaths Across America Radio - Wreaths Across America

Episode Sponsor: Greenscreens.ai

Greenscreens.ai’s dynamic pricing infrastructure built to grow and protect margins. The Greenscreens.ai solution combines aggregated market data and customer data with advanced machine learning techniques to deliver short-term predictive freight market pricing specific to a company’s individual buy and sell behavior.

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