Demystifying AI for business leaders, Finlay's no-nonsense guide transforms complex technologies into actionable strategies. With 20+ years of experience and a PhD, he's created the resource that's helping non-technical managers across industries harness AI's competitive edge - without needing to code.
Steven Finlay is the author of *Artificial Intelligence and Machine Learning for Business*, a practical guide that establishes him as a leading voice in demystifying complex technologies for enterprise applications. With a focus on bridging the gap between technical concepts and real-world business strategy, Finlay distills AI and machine learning principles into actionable insights for professionals. His work emphasizes ethical implementation, data-driven decision-making, and measurable ROI, reflecting his expertise in translating cutting-edge innovations into operational frameworks. Known for his clarity and accessibility, Finlay’s writing synthesizes academic research with industry case studies, particularly in sectors like finance, healthcare, and automotive technology. While specific biographical details remain limited, his analytical approach demonstrates deep familiarity with both technical architectures and organizational challenges. The book has gained recognition for its balanced perspective on AI’s transformative potential and limitations, making it a recommended resource for executives and technical teams alike. Industry reviews highlight its utility in developing competitive AI adoption roadmaps while navigating regulatory landscapes.
From Columbia University alumni | built in San Francisco
Your personalized audio episodes, reflections, and insights — tailored to how you learn.
Get the Artificial Intelligence and Machine Learning for Business summary as a free PDF or EPUB. Print it or read offline anytime.