The volume of headlines around AI is staggering. In boardrooms around the country, it's being hailed as the most revolutionary technology since the Internet. But while leaders are fascinated by the promise of artificial intelligence, few are seeing significant returns on their investments. In fact, many AI initiatives fail. However, there are exceptions. Companies such as Mars Wrigley, Colgate Palmolive, Turbo Tax and Pega Systems are putting AI into action.
Read More“Broadly speaking, agentic systems refer to digital systems that can independently interact in a dynamic world,” explained a McKinsey reportpublished in July of 2024. “While versions of these software systems have existed for years, the natural-language capabilities of gen AI unveil new possibilities, enabling systems that can plan their actions, use online tools to complete those tasks, collaborate with other agents and people, and learn to improve their performance. Gen AI agents eventually could act as skilled virtual coworkers, working with humans in a seamless and natural manner. … In short, the technology is moving from thought to action.”
Read MoreIn every era of transformative progress, a tipping point emerges—an inflection where yesterday’s impossibilities become the infrastructure of today. In healthcare, we are nearing such a moment. For decades, the health insurance industry has been hindered by administrative complexity, rising costs, and structural inertia. Despite numerous attempts at policy reform, meaningful simplification has remained elusive. But a convergence of emerging technologies—artificial intelligence, decentralized systems, and real-time data networks—is poised to change that.
Read More“Our data is everywhere and powering everything,” noted “Pathways to Open Data,” a report by Linux Foundation Researchpublished in March of 2025. “From marketing, to healthcare, to government services, to the emerging phenomenon of programming AI agents, organizations leverage data to be as efficient and effective as possible. However, data is often siloed within entities and any third-party data access requires overcoming significant technical, legal, economic, operational, and cultural obstacles that are multifactorial and at times may seem intractable. The increasing reliance on data calls for an assessment of these obstacles and how organizations can shift toward greater openness and sharing.”
Read MoreThe information technology landscape has significantly changed in recent years in terms of corporate value creation (and performance). Wherever data is stored, the digital revolution has created new challenges but also new solutions for innovation and efficiency. Unfortunately, data has a high value to those with nefarious purposes and enhancing data protection needs to become a priority for every business and organization.
Read MoreDeploying artificial intelligence (AI) has complex challenges concerning ethics, transparency, bias, and fairness. AI governance can mitigate these challenges. What is AI governance? OECD has proposed that artificial intelligence (AI) governance refers to the comprehensive framework of policies, regulations, ethical guidelines, and processes designed to oversee the development, deployment, and utilization of artificial intelligence (AI) systems in a manner that is ethical, transparent, and aligned with societal values. According to IBM, artificial intelligence (AI) governance refers to the processes, standards and guardrails that help ensure AI systems and tools are safe and ethical. AI governance frameworks direct AI research, development and application to help ensure safety, fairness and respect for human rights.
Read MoreI’ve been following the evolution of AI since the 1970s, especially the more recent era of data-centric AI systems based on highly sophisticated models trained with large amounts of information and powerful computer technologies. We were wowed when in 1997 Deep Blue won a celebrated chess match against then reigning champion Gary Kasparov, — one of the earliest, most concrete grand challenges of AI. The 2010s saw increasingly powerful deep learning AI systems surpass human levels of performance in a number of tasks like image and speech recognition, skin and breast cancer detection, and playing championship-level Go.
Read MoreSince the publication of my book, "Navigating the Techstorm," I've closely watched the rapid evolution of emerging technologies through the lens of a deep-tech investor with extensive experience in technology startups. The framework I proposed—Analyze, Assess, Adapt—has not only remained relevant but has become even more critical as the pace of technological innovation accelerates. It's become clear that understanding and proactively responding to technological disruption is no longer merely beneficial—it's essential for sustained growth and competitive advantage.
Read MoreAI agents are fundamentally reshaping data center design, infrastructure, and operations. As these agents grow more sophisticated and widespread, traditional data centers must evolve to meet unprecedented demands—from escalating computational power and cooling needs to advanced networking capable of handling dynamic, high-volume traffic. This report examines how data centers are adapting to support AI workloads, highlighting innovations in technology, design, and operations that will drive the future of digital infrastructure.
Read MoreOne of the best places to implement AI practically and successfully is in external or internal processes, including front and back-office processes used in everyday and game-changing modes. Processes are often the basis of organizational actions that cross internal and external boundaries. These processes often employ resources that could benefit from AI's automation or assistance, especially where knowledge, decision-making, and agile optimization based on changing or emerging goals are required.
Read MoreGenerative AI is dominating headlines, boardroom discussions, and innovation budgets. From marketing copy to code generation, it's being hailed as the most revolutionary technology since the internet. But while enterprise leaders are captivated by the promise of artificial intelligence, few are seeing real returns on their investments.
Read MoreWhile artificial intelligence (AI) has the potential to be transformative, the track record to date is disappointing. Although billions have been invested in AI, recent research reveals that only 1 percent of companies surveyed consider themselves to be “mature” – i.e. to have fully integrated AI into workflows and thereby produce better business outcomes. The same research report found that the biggest barrier to scaling AI is not employees—but leaders. Mayer, Hannah, Lareina Yee, Michael Chui, and Roger Roberts. "Superagency in the Workplace: Empowering People to Unlock AI’s Full Potential." McKinsey & Company, January 28, 2025. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/superagency-in-the-workplace-empowering-people-to-unlock-ais-full-potential-at-work.
Read MoreThe integration of Artificial Intelligence (AI) in clinical trials has emerged as a transformative force in the United States healthcare system. While AI offers significant benefits in clinical trials, including cost reduction and improved efficiency, it also presents complex challenges in governance, regulation, and ethical implementation. Authors aim to analyze specific AI applications in U.S. clinical trials, focusing on case studies, regulatory frameworks, and ethical considerations.
Read MoreWhen we released "AI for the Rest of Us" two years ago, we stood in a liminal space, observing as artificial intelligence seemed poised to transform not only Silicon Valley but the entirety of human experience. In hindsight, we recognize that our predictions have been realized in both expected and surprising ways.
Read MoreOn December 29, the WSJ published “Will AI Help or Hurt Workers?,” an article based on a research paper by Aidan Toner-Rodgers, a second year PhD student in MIT’s Economics Department. One of the reasons the WSJ article caught my attention is that it featured a photo of the MIT graduate student in between two of the world’s top economists whose research I’ve closely followed for years: Daron Acemoglu, — who in October was named a co-receipient of the 2024 Nobel Memorial Prize in Economic Science, and David Autor (along with his dog Shelby) — who was a co-chair of a multi-year, MIT-wide Taskforce on the impact of AI on “The Work of the Future.”
Read MoreMIT professor emeritus Rodney Brooks has been posting an annual Predictions Scorecard in rodneybrooks.com since January 1, 2018, where he predicts future milestones in three technology areas: AI and robotics, self driving cars, and human space travel. He also reviews the actual progress in each of these areas to see how his past predictions have held up. On January 1 he posted his 2025 Predictions Scorecard.
Read MoreAccording to a recent Boston Consulting Group (BCG) report, while there is much hype around artificial intelligence (AI), the value is hard to find. Based on recent research involving more than 1,000 companies worldwide, only 22% of companies have advanced beyond the proof-of-concept stage to generate some value, and only 4% are creating substantial value.
Read More“Open source software (OSS) has become a driving force behind innovation, collaboration, and the democratization of technology,” said the 2024 Global Spotlight Insights Report. The report, published last month by Linux Foundation Research, analyzed regional and industry differences in open source opportunities and challenges and tracked year-over-year trends…
Read MoreIn 2022 Congress requested a study by the National Academies on the current and future impact of AI on the US workforce. The report, “Artificial Intelligence and the Future of Work,” was released in November of 2024. The three year study was conducted by a Committee of experts from universities and private sector institutions co-chaired by Stanford professor Erik Brynjolfsson and CMU professor Tom Mitchell.
Read MorePresident Donald Trump’s administration will assume a cybersecurity portfolio that has continued to evolve toward combating digital threats since the Cybersecurity and Infrastructure Protection Agency (CISA) was created 6 years ago out of the Department of Homeland Security (DHS). CISA’s mission is a formidable one. The list of hostile threat players in cyberspace is quite extensive. Nation-states, organized criminals, terrorists, and hacktivists are all included.
Read More
