Businesses, small and large, have many questions about adopting generative AI, from where to start to more specific concerns about power and cooling. Dell Technologies Vice Chairman and COO Jeff Clarke wants any company considering its path into AI and GenAI to know that the way forward may be clearer than expected. The AI space…
Think of your enterprise AI strategy like a rocket. You can have the best design and the brightest minds behind it, but without the right fuel, it’ll never leave the launchpad. The fuel that AI needs is data, and the good news is that enterprises certainly no longer have to worry about finding enough AI data. Now,…
Enterprise AI is still in its infancy, with emerging use cases poised to drive fundamental shifts across industries that are comparable to the transformative effects of the internet, mobile, and cloud technologies. The internet changed everything about how business was done. AI is going to change everything about how business is done. It’s just that…
In nearly every sport, just a few numbers define success. Football, tennis, cycling, golf, running, Formula 1—it’s all the same. Score more goals, break serve, win the sprint, hit fewer shots, run faster, dominate the laps. When we talked with more than 2,000 executives from the world’s largest companies—representing over $48 trillion in combined GDP—we…
The volume of data that enterprises need to manage continues to grow exponentially. At the same time, regulations around data locality, residency, and sovereignty continue to multiply across jurisdictions worldwide. Companies must be vigilant about keeping up with rapidly evolving national and regional policies around who can access specific data; how it’s collected, processed, and…
As enterprise AI initiatives take off, IT leaders are under increasing pressure to use AI to maximize competitive advantage. However, embarking on this journey presents hurdles for even the best. While in some ways AI is just like other workloads, it also comes with unique challenges: Data management complexities Data privacy concerns Lack of in-house…
AI systems are no longer static tools. They are adaptive, goal-seeking agents increasingly embedded in high-stakes enterprise decision-making. As they evolve, so do the risks. Conventional alignment techniques like human-in-the-loop feedback, ethical principles and governance checklists offer a starting point, but they cannot ensure that AI continues to act in line with business intent over…
The enterprise technology landscape is witnessing a remarkable shift. While most discussions around quantum computing focus on distant breakthroughs and theoretical applications, a quiet revolution is happening at the intersection of quantum systems and machine learning. Quantum machine learning (QML) is transitioning from academic curiosity to a practical business tool, and the timeline for enterprise…
Los CIO han comenzado a replantearse su dependencia de la nube pública para la IA y otras cargas de trabajo, lo que conlleva el resurgimiento del interés por la nube privada y los entornos locales. Si bien la nube pública ofrece la flexibilidad necesaria para poner en marcha un gran número de GPU para la…
블룸버그가 30일에 공개한 메타 사내 공지문에 따르면, 마크 저커버그 CEO는 1일 자로 메타의 모든 AI 관련 활동을 ‘메타 슈퍼인텔리전스 랩(Meta Superintelligence Labs, MSL)’이라는 단일 조직으로 통합한다고 밝혔다. 이 조직은 메타가 최근 140억달러 가량을 투자한 데이터 라벨링 스타트업 스케일AI의 공동 창업자이자 전 CEO인 알렉산더 왕(Alexandr Wang)이 이끌며, 저커버그는 그를 “동세대에서 가장 인상적인 창업자”라고 소개하고, 최고 AI…