In the ever-evolving landscape of digital transformation, leveraging an evidence-based, data-driven approach is not just valuable but also imperative. This methodology ensures that the impacts of new technologies, processes, and cultural shifts are not just perceived but quantifiably measured. A move beyond anecdotes and heuristics towards hard evidence facilitates strategic decision-making and helps in steering
In our digital age, Artificial Intelligence (AI) technologies have seen a rapid rise. Businesses eagerly adopt AI, yet there’s a growing need to effectively measure its impact on digital transformation. AI can create direct, significant business impacts, but often its effects are indirect, latent, or vary based on context. Understanding how to capture AI’s impact
The AI Productivity Paradox In today’s rapidly evolving business landscape, Artificial Intelligence (AI) has become ubiquitous in the workplace. Tools for content generation and task automation offer the potential to enhance workforce productivity. Yet, they present a significant conundrum for organizational leaders: How can they differentiate between authentic productivity enhancements and potential over-reliance or perceived
As we delve deeper into the digital era, Artificial Intelligence (AI), particularly Generative AI, is redefining what’s possible in enhancing workplace productivity. Poised to revolutionize sectors from marketing and design to data analysis and beyond, Generative AI’s ability to automate creative tasks and generate novel insights offers a glimpse into the future of automated efficiency.
In our fast-changing work environment, the rise of Generative Artificial Intelligence (AI) marks a pivotal shift. As it begins to automate creative tasks and spark new insights, we’re prompted to rethink what productivity and creativity really mean in today’s jobs. This newsletter aims to shed light on the crucial partnership between our irreplaceable human skills
In the rapidly evolving landscape of digital transformation, the advent of large language models (LLMs) and AI-driven agents is reshaping how organizations operate. These technologies are driving unprecedented levels of efficiency and revenue generation by automating routine tasks, optimizing workflows, and enabling faster decision-making. Companies are increasingly relying on AI to enhance productivity, reduce costs,
In October 2024, I had the privilege of being invited as a guest speaker at the 2024 ATD APAC Conference in Taiwan. The theme of this year’s conference was Empowering Future Talent. During my session, titled A New L&D Paradigm Shift with AI Beyond Technologies, I was deeply inspired by the thought-provoking questions from the
This article is based on my recent speech at the ATD Japan Summit (March 2025). I’m grateful to Masayuki Imamura-san and Hiromi Nohara-san for introducing me to the ATD Japan community. Artificial Intelligence (AI) is rapidly reshaping human resources (HR) and the workforce, promising significant improvements in efficiency, insight generation, and strategic value. Yet many
Artificial intelligence (AI) has evolved from exploratory pilots to enterprise‑wide initiatives. Across sectors as varied as finance, healthcare, education and logistics, leaders are placing significant bets on AI to enhance competitiveness. As budgets rise, stakeholders naturally ask: how should we evaluate whether an AI project or solution is truly worth pursuing? This issue was highlighted