Download: Insights for success in AI-driven organizations
From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
Faculty
Paul McDonagh-Smith is a Visiting Senior Lecturer in Information Technology at the MIT Sloan School of Management. In his research and teaching, Paul creates key intersection points between technology and business. He specializes in translating computer and data science into measurable business value that evolves organizational capability, transformation, and strategy.
He teaches in MIT Sloan’s, ‘Accelerating Digital Transformation with Algorithmic Business Thinking’, and ‘Digital Learning Strategy’ programs. As an early pioneer in Digital Reality, Paul has successfully invented and innovated with Extended Reality (XR) and metaverse technologies across multiple industries for more than 20 years and is a featured lecturer in MIT Sloan’s, ‘Business Implications of Extended Reality (XR): Harnessing the Value of AR, VR. Metaverse, and More’ program. Paul also teaches in, and contributes to, a wide range of MIT Sloan Executive Education programs.
McDonagh-Smith plays a role in shaping the growing portfolio of digital programs at MIT Sloan Executive Education. He collaborates with the MIT Sloan team to define digital strategy and drives transformative technology experimentation.
Through close collaboration with Faculty, Labs, and Schools across MIT, as well as an extensive global network of industry partners, Paul’s approach to entrepreneurship is built upon a bias for practical action. More technology ‘presentist’ than technology ‘futurist’, Paul enables teams to invent their future, starting today.
He provides digital transformation, business model and strategy guidance to organizations across multiple industries and geographies as well as to a range of international government departments.
Prior to MIT, Paul held senior roles in Optical Network Systems Engineering, R&D, Emerging Products and Technology, Business Transformation and Human Resources during a 20-year career in the telecoms industry.
Paul is an advisor to NASA Goddard Space Flight Center, under the supervision of chief scientist, Dr. James B. Garvin.
From MIT Sloan experts, innovative ideas for using artificial intelligence to solve critical business problems and deliver on strategy.
How to create an artificial intelligence strategy that takes into account key business priorities, organizational data strategy, and employee skills.
"As we move further forward and deeper into the AI era, we will need to calibrate — and no doubt regularly re-calibrate — AI safety measures."
"AI remains a field defined — as it has from the 1950s — by both significant achievements and considerable hype."
"AI skills are not overly abundant, so organizations need to upskill and train employees on technical skills and technical decision-making."
"You no longer need to be a programmer to create applications or an artist to create graphics."
This immersive, two-week program on campus dives deep into both the technical and business aspects of AI, providing a comprehensive understanding of AI's impact across industries.
In this on-demand, asynchronous learning experience from MIT Sloan Executive Education, Faculty Director Paul McDonagh-Smith introduces the concept of Algorithmic Business Thinking—a framework for understanding the key principles of algorithms, code, and data and a methodology for applying those principles across role and departments, from products and service to business functions like finance, sales, and marketing.
In this program, you will be guided through this course by MIT Sloan Senior Lecturer Paul McDonagh-Smith, an early pioneer in this space who has successfully invented and innovated with XR and metaverse technologies across multiple industries for more than 20 years. Throughout the course, you’ll have the chance to apply research-based frameworks and models to real world business opportunities and challenges. You will deepen your understanding of how XR and metaverse technologies can be used in your organizations and industries to create new value and sustainable competitive advantage today.