Accelerate AI Adoption in the Data Center
A new partnership between Cisco and NVIDIA makes it easier to deploy, manage and secure AI infrastructure.
A new partnership between Cisco and NVIDIA makes it easier to deploy, manage and secure AI infrastructure.
Cisco maximizes agility with faster time to value at massive scale while building digital resilience to keep data centers securely up and running.
Cisco measures your AI readiness across six key pillars: Strategy, Infrastructure, Data, Governance, Talent and Culture.
Download NowOrganizations remain committed to AI, yet remain significantly unprepared
Businesses risk negative impacts if they move too slowly
Leaders must act now to improve readiness across all six pillars
What’s really important when building an AI-ready data center powered by data and insights? We debunk some popular myths and put you on the right track.
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Enabling connected business outcomes Computacenter builds long-term trust by helping our customers successfully navigate the complexities of AI adoption and deployment.
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Success Tracks helps you quickly adopt and maximize the value of your Cisco® technology investments to accelerate business value. We do this by delivering the right expertise, insights, learning, and support with a guided lifecycle journey through our CX Cloud, a one-stop unified digital experience.
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Industry 4.0 is highly responsive, automated, and data driven. IoT devices now blanket the factory floor, collecting information and monitoring operations—leading to AI-driven insights. These devices require ubiquitous connectivity across a modern, agile infrastructure so they can inform and improve increasingly complex operations.
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Today’s retailers and brands need to deliver seamless experiences across digital and physical touchpoints – often using new AI tools to enhance customer experiences. Retailers are now looking to create smart spaces through an investment in IoT and touchless technology—hoping to drive customer satisfaction and employee safety and ultimately prepare for future challenges.
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Healthcare organizations face cyber and physical security concerns as well as the need to modernize patient and staff experiences with AI-powered innovations like telehealth, hospital@home, and smart hospitals. These challenges have opened the door for healthcare organizations to invest in cloud migration, smart hospitals, cybersecurity and hybrid care initiatives.
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The increase in digital banking has forced financial institutions to evaluate the role traditional banks play. To remain competitive and provide powerful customer and employee experiences around AI and LLMs, banks need to invest in improved connectivity and IoT devices within the branch without compromising the digital safety customers have come to expect.
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AI is changing education forever with new, rich learning tools and innovative education spaces. Optimize the campus experience with facilities automation, lighting and energy efficiency, environmental control and occupancy analytics to cut costs and support more sustainable outcomes.
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