How Hitachi Vantara's AI infrastructure supports U.S. government's AI plan

Interesting insights from Octavian Tanase on Why #AISovereignty Will Redefine #Enterprise #Competitiveness? My take aways The winners of the next era won’t just consume #AI rather they’ll own it. That translates to building intelligent data platforms that are secure, compliant, and autonomous across #hybrid environments. As leaders, our challenge is to transform storage and infrastructure into sovereign #AIplatforms where trust, performance, and control converge. This is the inflection point. Are your organizations preparing for the era of #AI sovereignty? Are you building the infrastructure to own your #AI future? #AISovereignty #DataInfrastructure #EnterpriseAI #DigitalTransformation #DataGovernance #HybridCloud #AIInnovation #TechLeadership #CIOLeadership

As AI becomes the backbone of national strategy and business success, trusted data infrastructure is no longer optional—it’s mission critical. Solutions like Hitachi iQ and VSP One are paving the way for secure, governed, and scalable AI adoption. The future of AI leadership will belong to those who get data infrastructure right.

#AI competitiveness is not just about faster chips or larger models. It is about building a resilient, secure, and adaptable #data #infrastructure capable of supporting AI’s evolving demands. That means rethinking how data is stored, moved, and governed; ensuring retention and auditability; and planning for jurisdictional agility.

AI innovation today is defined not just by the models we train but by where those models live and run! Placing inference at the edge brings computation closer to data, enabling faster insights, better privacy, and more efficient use of resources. This marks the foundation of the next era of AI. Making this shift requires a structured approach. The journey begins with 4 steps to prioritize proximity at the edge! 🔸 Audit existing infrastructure to pinpoint performance gaps. 🔸 Map out edge requirements based on application and industry. 🔸 Build a dynamic multicloud, multi-provider strategy. 🔸 Connect through neutral, interconnected partner ecosystems for flexibility. Still, the real challenge lies in managing data itself. Data placement decisions shape cost structures and compliance outcomes. Moving vast datasets to centralized locations increases expenses and delays, while regulations in over 140 countries dictate where sensitive information can, and cannot, be stored. So how to navigate it? By embracing proximity-first infrastructure, businesses align performance with compliance and cost-efficiency! 💡 #Advantech #WeEnable #AI #infrastructure #standards

As organizations continue to scale their AI initiatives, infrastructure demands are evolving faster than ever. Traditional systems can’t always keep up with the performance, agility, and resilience required to fully unlock AI’s potential. This recent article from CIO Online explores how the edge is being redefined to set new standards for AI infrastructure—an area where Jeskell helps clients prepare today for tomorrow’s demands. 📖 Read the full article here: https://lnkd.in/ezP7ExeA

Cisco Data Fabric is set to revolutionize how machine data is utilized by transforming it into AI-ready intelligence. This innovation enables the development of AI models that provide predictive insights and foster proactive resilience. #AI #MachineLearning #DataIntelligence

Nutanix’s Mike Magura says AI winners in APJ won’t be defined by algorithms, but by infrastructure and the partners that enable scale

Nutanix’s Mike Magura says AI winners in APJ won’t be defined by algorithms, but by infrastructure and the partners that enable scale

Nutanix’s Mike Magura says AI winners in APJ won’t be defined by algorithms, but by infrastructure and the partners that enable scale

Nutanix’s Mike Magura says AI winners in APJ won’t be defined by algorithms, but by infrastructure and the partners that enable scale