In the world of cybersecurity, we’re facing a dangerous paradox. Organisations are investing more in sophisticated defense tools than ever before, yet the attack surface is expanding at an uncontrollable rate, leaving them perpetually on the back foot. The accelerated push to digital transformation, cloud adoption, and remote work has created a sprawling, fragmented, and…
Artificial intelligence (AI) technologies and hybrid/multi-cloud trends are putting pressure on organizations to optimize their storage strategy to ensure data availability — while enabling scalability and efficiency. For example, generative AI (genAI) applications have further accelerated data creation, which in turn increases the need for efficient, available storage that is also cost-effective. Optimizing all that…
There’s no letting up on the demand for more data center storage, with artificial intelligence (AI) and machine learning (ML) workloads emerging as the leading growth driver. It’s time to ask, “Is our data center ready for AI storage demands?” Organizations have many options for meeting their growing storage needs: cloud, hybrid cloud, hard disk…
Grit is often defined as perseverance: the ability to push through hardship with determination. But leadership today calls for a broader definition. In a constantly evolving environment, grit isn’t just about personal endurance. It’s about creating the right conditions for others to thrive, especially in times of change, ambiguity or stretch goals. After nearly two…
Nearly 45% of digital projects encounter challenges that can significantly impact their budgets, deadlines or both, putting organizational success and stakeholder confidence at risk. I found that the most common way for the project status is by reporting methods, whether weekly or monthly updates, often lack the immediacy necessary for timely interventions, and by the…
AI is transforming the enterprise — and the data center is no exception. As companies scale their ambitions for AI, they’re discovering that traditional data center models can’t keep up. Power and cooling systems are under strain and legacy networks are creating data bottlenecks. Just as crucial, leaders must rethink staffing, governance, and culture to…
Most CIOs at some point in their career have entered into an agreement for a product or service only to be so disappointed that they’ve wanted to cancel the contract. I can remember wanting to terminate a marketing analytics agreement that packaged server and software, which we all thought would be great for our marketing…
인도에 본사를 둔 글로벌 소프트웨어 및 클라우드 서비스 기업 조호가 자사 AI 로드맵에 따라 주요 기술들을 공개했다. 이번에 선보인 기술은 독자 개발한 대규모 언어 모델(LLM) 스택 ‘지아 LLM’을 비롯해, 영어와 힌디어를 지원하는 자동 음성 인식(ASR) 모델, AI 에이전트 개발 플랫폼인 ‘지아 에이전트 스튜디오’, 그리고 맥락 인식 에이전트 상호작용을 관리하는 ‘모델 컨텍스트 프로토콜(Model Context Protocol, MCP)’…
AI 전문 기업 라이터(Writer)의 조사에 따르면, 전체 기업 직원의 3분의 1에 가까운 31%가 “자사의 생성형 AI 전략을 방해하고 있다”라고 응답했다. 밀레니얼과 Z세대 직원의 경우 이 비율은 41%로 더 높게 나타났다. 또한 설문에 따르면 직원 10명 중 1명은 성능 지표를 조작해 AI가 실적이 낮은 것처럼 보이게 하거나, 고의로 품질이 낮은 결과물을 만들어내거나, 생성형 AI 도구나 그…
La encuesta de Writer también revela que “uno de cada diez trabajadores dice que está manipulando las métricas de rendimiento para que parezca que la IA está rindiendo por debajo de lo esperado, generando intencionadamente resultados de baja calidad, negándose a utilizar herramientas o resultados de IA generativa, o negándose a recibir formación sobre IA…