WisdomInterface

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  • 3 common AI for networking concerns and how to tackle them

    3 common AI for networking concerns and how to tackle them

    AI for networking is promising: automating routine tasks, predicting outages and issues, improving threat detection and response, and optimizing performance. Not only is AI for networking promising, it’s also fast becoming essential, as the sheer scale and complexity of modern networks becomes too much for humans to manually monitor, secure, and troubleshoot. Despite the necessity and benefits of AI for networking, however, there are some common concerns holding enterprises back — either from making the move to AI-powered management or from figuring out how to use it to its full potential. The most common concerns are around: Is the ROI compelling enough to proceed? Is the AI safe and ethically accountable? Is the AI able to integrate with current processes? In this paper, we explore some of these concerns in more detail, and offer considerations and recommendations for navigating them. With the right approach and guidance, organizations can more confidently move ahead in their journeys to using AI to streamline network operations.

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    • Hybrid cloud: The secret power that’s driving the success of AI

      Hybrid cloud: The secret power that’s driving the success of AI

      Artificial intelligence (AI) is revolutionizing industries by driving innovation and efficiency. However, integrating AI into daily business operations presents challenges such as data security, scalability, cost management, and sustainability. Hybrid cloud platforms offer a solution by combining the expansive resources of the public cloud with the security and control of on-premises infrastructure. This approach allows businesses to manage AI workloads effectively without fully committing to a hyperscale public cloud. Hybrid cloud platforms enable seamless data integration, enhanced security, and compliance with data regulations. They also provide the flexibility to scale AI workloads up or down as needed, reducing costs and environmental impact. By leveraging hybrid cloud models, companies can optimize their AI initiatives, ensuring data availability, security, and cost efficiency while minimizing their carbon footprint. This article explores five key ways hybrid cloud platforms can maximize the benefits of AI for businesses.

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      • Hybrid cloud by design: Simplify and transform IT operations

        Hybrid cloud by design: Simplify and transform IT operations

        Hybrid cloud by design: Simplify and transform IT operations

        Today’s fragmented hybrid clouds hinder innovation and operational efficiency. Organizations need a unified cloud experience that delivers streamlined operations, enhanced visibility, and the agility to address emerging workloads like AI. A modern private cloud, delivered as-a-service and optimized for AIOps, is the engine for next-gen hybrid. It provides the cloud experience on-premises while enabling intelligent management across your entire IT estate.​

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        • What is agentic AI, and how can it transform your business?

          What is agentic AI, and how can it transform your business?

          What is agentic AI, and how can it transform your business?

          As artificial intelligence evolves beyond content creation, agentic AI emerges as a new paradigm, empowering systems to perceive, reason, and act autonomously. This article examines how agentic AI promises to deliver unprecedented efficiency and innovation for organizations and explores the infrastructure required to support its rise.

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          • With ransomware resurging, enterprises need new strategies to build smart defenses — and speed recovery

            With ransomware resurging, enterprises need new strategies to build smart defenses — and speed recovery

            How are today’s enterprises modernizing their data protection to build smarter and faster defenses? Two of HPE’s top data security experts share their thoughts on what you need to know to modernize your data protection.

            Key take-aways

            • With a rampant rise in ransomware, thanks to AI, how do you build smarter and faster defenses?
            • Limit the blast radius of an attack
            • Backups need to be more intricate than ever
            • Focus on expediating and improving recovery

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            • Achieving AI success begins with a unified data foundation and data intelligence

              Achieving AI success begins with a unified data foundation and data intelligence

              Achieving AI success begins with a unified data foundation and data intelligence

              Legacy storage systems create numerous challenges for modern AI applications, which is why Hewlett Packard Enterprise has innovated solutions to address these issues. Many organizations struggle with AI due to poor data management and outdated infrastructure. HPE solves this problem with a unified data foundation that includes HPE Data Fabric and intelligent devices such as the HPE Alletra Storage MP X10000.

              These solutions provide visibility and accessibility to all data types, regardless of location, and enable faster data retrieval through embedded data intelligence. This kind of data intelligence is particularly important for generative AI applications, where metadata enrichment at the storage level can render data AI-ready without having to migrate it away from its current storage location. Additionally, HPE storage solutions help maximize GPU utilization while offering scalability and cost efficiency advantages, potentially reducing the total cost of ownership by up to 40%. HPE also provides various storage options to meet different AI workload needs, performance requirements, and budgets.

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              • Three ways to simplify and secure your data center network

                Three ways to simplify and secure your data center network

                As the shift from centralized to distributed edge-to-cloud data centers continues, new and simpler networking architectures are needed. Concurrently, regulators have been creating new security frameworks and standards to protect organizations, employees and consumers, increasing the need for simplicity yet further. Learn how a well-designed platform can reduce complexity, enhance security, and accelerate your transition to a modern, regulations-compliant, workplace.

                Key takeaways 

                • The next wave of data center connectivity requires attention to regulations and standards.
                • A well-designed platform can abstract complexity and simultaneously meet compliance regulations and standards.
                • Provide secure connectivity that delivers an exceptional experience for users and applications.

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                • Locked Down by Design: Air-gapped and threat adaptive security are the Next Inflection Point for Private Cloud

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                  Locked down by design: Air-gapped and threat adaptive security are the next inflection points for private cloud

                  Stringent, emerging regulations, such as DORA, STIG, and CIS, are mandating the adoption of increased security measures in many cloud environments – while at the same time enterprises find themselves under heavier and more sophisticated cyberattacks than ever. One solution to both challenges is the use of an air-gapped private cloud – which ensures that sensitive data remains disconnected from external systems and the internet, greatly reducing the risk of unauthorized access. In this story we’ll explore why and where air-gapped systems are needed, how they work, and how to overcome the challenges related to implementing and managing them – highlighting HPE’s emerging solution

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                  • A DATA-DRIVEN APPROACH TO SIMPLIFYING DATA MANAGEMENT COMPLEXITY

                    A DATA-DRIVEN APPROACH TO SIMPLIFYING DATA MANAGEMENT COMPLEXITY

                    Data management complexity can hold your business back. Challenges and complexity continue to grow as resources and data span from edge to core and cloud. HPE can speed you on the path to removing complexity, with a cloud operating model that simplifies operations and data management. Explore three actionable ways to accelerate your data-driven transformation:

                    • Transform with a cloud operational experience, everywhere
                    • Simplify data access by unifying data
                    • Modernize data protection to ensure data is rapidly recoverable and always secure

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                    • Need-to-knows for meeting today’s connectivity demands

                      Need-to-knows for meeting today’s connectivity demands

                      Need-to-knows for meeting today’s connectivity demands

                      When networks can reliably support everyone and everything connected to them, amazing experiences happen. But the challenge for many organizations today is: how can your network securely and reliably support already dense and distributed environments, while still having room to roll out more immersive applications and emerging technologies, like AI? Meeting today’s connectivity demands requires using modern wireless and wired technologies, from Wi-Fi 7 and private 5G to high reliability, low-latency switches. More importantly, it includes enabling the full potential of these technologies with an AI-powered management approach. In this paper, we explore some key need-to-knows around each, including: Wi-Fi 7: what makes it so great, and is it worth upgrading now? Private 5G: what use cases is it good for, and will it ever replace Wi-Fi? AI-powered management: why it’s needed to unlock the full potential of modern wireless and wired technologies. We also cover the importance of staying flexible to changing needs, and how HPE can help.

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