Stephen Murphy is a seasoned expert in data analytics and machine learning, with over four years of experience in AI development, including building customized AI-driven iOS and Android apps. He has worked extensively with companies focused on AI projects, applying his deep technical expertise to create innovative solutions that leverage chat features and enhance user engagement.
With a strong background in both legal and healthcare industries, Stephen is well-versed in HIPAA compliance and legal contract frameworks. His decade-long career has been centered around deploying machine learning and advanced analytics to drive business decisions, improve customer engagement, and optimize operations across sectors like sales, marketing, and manufacturing. Stephen’s leadership has consistently led to data-driven innovations, and he excels in leading cross-functional teams to create scalable, robust AI solutions for a wide array of industries.
Cameron Marcus is an expert in cybersecurity and AI, developing advanced solutions for the Department of Defense and other highly regulated sectors. With experience working with government and intelligence agencies, Cameron builds technologies that protect sensitive information and enhance operational capabilities, setting new standards for AI in defense and national security.
Known for navigating complex regulatory environments, Cameron’s work at the intersection of AI, cybersecurity, and defense drives advancements in sectors like finance, healthcare, and insurance. He specializes in creating scalable, secure AI systems that withstand sophisticated threats, helping organizations make informed decisions while safeguarding critical data.
Dan has been active in the property/casualty/general insurance industry for forty years.
He worked at a variety of insurance companies and consulting firms, including Chief Actuary at Argonaut Insurance Co. in the 90’s, and most recently heading his own actuarial consulting firm, Trinostics LLC, until 2023.
In addition to his professional achievements, Dan has taught mathematics and statistics at various colleges, where he shared his passion for practical mathematical analysis.
Now, his interest in machine learning and AI is driving him to explore how these technologies can be applied both professionally and personally.