A student recently asked: “How can AI transform the relationships between the U.S. and African countries?” The premise is compelling—AI has the potential to drive transparency, trade, and governance reform, resetting relationships on healthier grounds.
But we’ve seen this movie before.
Read MoreThe AI revolution is upon us, with businesses pouring billions of dollars into generative and predictive AI solutions. From crafting unique marketing campaigns to optimizing supply chains, these technologies promise to transform industries. Yet, there is a perplexing paradox: the savings and efficiencies promised by predictive AI far outstrip those of generative AI, yet both receive nearly equal investment and attention. What explains this phenomenon? Is it because they sound the same? Is it because nearly everything has been sprinkled with “AI”?” And what does it reveal about the priorities and strategies of modern organizations?
Read MoreDigital coworkers are no longer hypothetical. AI-driven agents—agentics—are creeping into every function, every decision process, and every interaction within organizations. In some ways, they are the executive dream—they don’t need coffee breaks, demand raises, or call in sick. And yet, they’re reshaping work in ways few leaders are prepared to handle.
Read MoreToday, I'm sharing news of an initiative occupying my thoughts and research: the Global Student & AI Rights Pledge & Declaration. These are two initiatives I architected as part of presentations I gave this year at ICTE 2024. But before I detail these efforts, I want to emphasize something important: this isn't just another policy document destined to gather digital dust in some institutional repository.
Read MoreAI-powered voice recording, transcription, and analysis tools are revolutionizing how we conduct and follow up on meetings. As graduate faculty for project management curriculum and consultant for data culture initiatives, I’ve started integrating how these tools can help students and project managers
Read MoreThe landscape of data warehousing has undergone a profound transformation since its inception in the 1970s. What began as a concept for centralizing corporate data has evolved into a complex ecosystem of technologies, languages, and architectures. This evolution reflects not only advancements in technology but also changing business needs and the exponential growth of data as an asset.
Read MoreAs we conclude our exploration of the evolving data culture in corporate America, we find ourselves at a critical juncture. The pendulum swings we've observed—from the data-driven efficiency focus of the 1990s to the purpose-driven revolution of the 2010s—have set the stage for a new era of complexity. The advent of artificial intelligence (AI) is not just another technological advancement; it represents a fundamental shift in how organizations must approach skill development and organizational design for data, purpose, and ethics.
Read MoreThe insurance industry is experiencing a digital revolution. As customer expectations evolve and new technologies emerge, insurers are under increasing pressure to undergo digital transformation. However, legacy systems and outdated processes present significant hurdles for many companies. This blog post will explore the challenges of digital transformation in insurance, highlighting real-world cases and offering strategies to overcome common obstacles.
Read MoreWe’ve become numb to the headlines. Data breaches happen almost daily, making cybersecurity a top priority for insurers. With its vaults of personal and financial data, the insurance industry is a prime target for cybercriminals. This blog post will explore effective cybersecurity strategies for insurers, highlighting real-world cases and spotlighting new technologies reshaping the cybersecurity landscape.
Read MoreMastering data governance has become a critical challenge for insurers in today's rapidly evolving insurance landscape. Many companies struggle to balance fostering innovation and maintaining regulatory compliance. This blog post will explore the complexities of insurance data governance, highlighting the pitfalls and best practices.
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