Jason Cawood
Systems Programmer Hoffman Construction
Jason Cawood is a Systems Programmer at Hoffman Construction with over 20 years of experience in software development, specializing in AI-driven business applications. He brings a unique combination of technical expertise and business analysis skills, enabling him to design, develop, and manage user-centered solutions that deliver measurable impact.
Jason has a strong track record of leveraging emerging technologies and advanced applications to solve complex business challenges. His work focuses on creating intelligent systems that enhance decision-making, streamline operations, and improve overall efficiency within project environments.
Known for his self-motivation and commitment to continuous learning, Jason consistently delivers high-quality results while contributing to collaborative team efforts. His deep understanding of programming, coupled with a practical approach to innovation, allows him to bridge the gap between technical development and real-world business needs.
Jason’s forward-thinking mindset and dedication to excellence make him a valuable contributor to advancing digital transformation in the construction industry.
Seminars
It’s clear that leveraging AI is becoming a necessary inevitability to drive your firm’s competitive edge. But there are clear challenges in the security of these tools and end users’ trust in different outputs. Join this interactive session to gain insight into:
- Developing AI usage policies, consulting legal, HR, and security teams to build user guidelines, monitor usage of AI tools, ensure data security with vendors, and mitigate misuse across the enterprise
- Examining the growing challenge of employees bypassing sanctioned tools, and how the technology team should act as a custodian of the stack
- Getting end user buy-in to new tools while educating them about the importance of human oversight given untrustworthy outputs, including framing AI as a practical tool that relieves pain points
- Exploring how firms are balancing innovation with their commitment to their people, minimizing fear among employees that their jobs are going to be taken by AI
