US military veteran who brings a disciplined, professional approach to leading and motivating sales, sales engineering, and channel account teams.
Highly accomplished results-oriented sales leader with 25+ years of experience exceeding customer expectations in various technology sectors including telecommunications, SaaS, and software.
Drew has a proven track record of driving significant revenue growth through strategic partner development, deploying innovative sales engineering practices leveraging data analytics & AI/ML, and leading high-performing sales/sales engineering teams.
Drew has a range of management experience including building teams from the ground up to taking over existing teams. Drew has led software development teams of over 150 engineers and support personnel.
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Artificial Intelligence (AI) is subtly transforming daily life in the United States, extending beyond generative platforms like ChatGPT, Gemini, Grok, Llama, and Copilot. Here are some of the practical applications where you can see the everyday impact of AI in our...
A quarter of a century ago the DOT-COM bust began – Is Artificial Intelligence next? The rise of artificial intelligence (AI) has drawn comparisons to the DOT-COM era, a transformative time when the internet promised to revolutionize industries and change lives....
How can AI help improve the US healthcare system while controlling costs? In an interview between Maria Bartiromo and Dr. Tony Cosgrove, they discussed the impact of AI on the medical field. According to the American Medical Association, the medical sector is already...
As companies transition to AI-powered ecosystems, they must reassess current their current personnel, write thorough job description, and develop training plans to reskill their existing workforce. In the reassessment, a company may determine that they have a skills...
Types of AI Models The ability to explain AI model decisions and recommendations is crucial for building trust in AI-derived decision-making processes. White Box models, with fewer rules and parameters, are simpler to understand and are more likely to be trusted. In...
With the recent stock market performance, the question of whether AI is overhyped and will crash has been discussed by many analysts. To understand if Artificial Intelligence (AI) will crash or enter an AI Winter, we must define what an AI Winter is, as well as when...
Question 1: How are emerging AI roles and required skills shaping the future of the labor market? Discuss the evolving demands for AI skills and the challenges of upskilling or reskilling the current workforce to meet demands. The AI development process is...
In the context of AI making decisions akin to the trolley problem, how important is it that the AI's decision-making process is transparent and explainable to the people affected by it? Can transparency reduce ethical concerns, or does it complicate the issue further?...
AI winters have been characterized by waning interest and investment in the field. With the current explosion in AI capabilities, are we headed towards another winter, or have we learned from past experiences to avoid a complete freeze? What presents the greatest...
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