The AI Revolution: Transforming Technology and Reshaping Cybersecurity

The AI Revolution: Transforming Technology and Reshaping Cybersecurity

Artificial Intelligence (AI) is revolutionizing government and technology, driving an urgent need for innovation across all operations. Although historically, local and state government systems have seen only incremental changes with limited AI adoption, today, a significant shift is occurring as AI is integrated across all government sectors. Benefits of AI Integration The benefits of these changes are evident. AI-powered systems analyze vast amounts of data, offering insights for better decision-making. Public services become more personalized…

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Small businesses need to secure data before tapping into AI

Small businesses need to secure data before tapping into AI

AI is the acronym on everyone’s lips this summer. Generative AI tools have gone mainstream, and nearly everyone has heard an AI use case that piques their interest. But you’ve got questions about the cost, the security, and how to use your data because you’re a small business, not an enterprise with massive resources. AI is a growth tool that can be a game-changer for smaller businesses. Using existing AI tools to automate and streamline…

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How AI Innovation Will Elevate SMB Business Outcomes

How AI Innovation Will Elevate SMB Business Outcomes

AI-enriched networking, security, and observability solutions were the stars of Cisco Live—and for good reason. Technology advancements that were previously inconceivable are now possible—and easily accessible. Small and medium business leaders can benefit from cutting-edge enterprise capabilities thanks to the proliferation of AI. And they don’t have to build a sophisticated LLM or develop detailed generative AI prompts to deploy them. They can simply tap into the robust AI features available in Cisco solutions to…

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An In-Depth Look at the Cisco CCDE-AI Infrastructure Certification

An In-Depth Look at the Cisco CCDE-AI Infrastructure Certification

Since OpenAI’s mic-drop moment at the end of last year, it seems that AI—and generative AI in particular—is suddenly everywhere. For network engineers, we see two big areas of change. The first is AI in the network: By integrating AI into networks, we can make those networks more secure, resilient, and higher-performing. The second is AI on the network. The networks that run AI workloads and support the training of generative AI models need to…

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Closing the cybersecurity skills gap: 3 steps risk leaders must take

Closing the cybersecurity skills gap: 3 steps risk leaders must take

The workforce issues plaguing the cybersecurity sector are no longer a trend — they’re an urgent call to action that leaders need to take steps to answer. Cyber teams are already overwhelmed by the challenges in the modern risk ecosystem. Cyberattacks are growing faster than positions. Employees are underequipped and under-skilled, trying to keep pace with a rapidly evolving digital ecosystem that hackers are keen to exploit. In some cases, companies have even laid off…

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Harnessing the Power of AI to Improve Operations

Harnessing the Power of AI to Improve Operations

I’ve noticed that, over time, IT operations often become the foundry of ideas for an organization. This may be out of sheer necessity, as this function sits at the intersection of two intertwined threads. The first is the inexorable progression of technology: networks get faster, servers more powerful, and architecture more complex. At the same time, because of the power of these growing capabilities, IT becomes ever more central to how organizations take care of…

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Optimizing AI Workloads with NVIDIA GPUs, Time Slicing, and Karpenter

Optimizing AI Workloads with NVIDIA GPUs, Time Slicing, and Karpenter

Maximizing GPU efficiency in your Kubernetes environment In this article, we will explore how to deploy GPU-based workloads in an EKS cluster using the Nvidia Device Plugin, and ensuring efficient GPU utilization through features like Time Slicing. We will also discuss setting up node-level autoscaling to optimize GPU resources with solutions like Karpenter. By implementing these strategies, you can maximize GPU efficiency and scalability in your Kubernetes environment. Additionally, we will delve into practical configurations…

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Breaking through barriers: Upwardly Global helps work-authorized immigrants secure meaningful U.S. employment

Breaking through barriers: Upwardly Global helps work-authorized immigrants secure meaningful U.S. employment

As Cisco’s commitment to our purpose to power an inclusive future for all drives us forward, we continue expand how we use our technology, our people, our resources, and our networks to address inequities and open more opportunities for more people. To power this kind of future, we work closely with nonprofit partners who provide people with equitable access to the knowledge, skills, and resources needed to support themselves and their families toward long-term resilience…

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Product spotlight on cybersecurity

Product spotlight on cybersecurity

Cybersecurity is a constant priority for business as new threats emerge each day. Security magazine highlights a variety of cybersecurity products to protect data and businesses. BEAZLEY Quickly Detect and Respond to Threats Beazley Security’s Managed eXtended Detection and Response (MXDR) service combines human intelligence with advanced technologies and external data sources to provide clients around-the-clock protections. The MXDR provides total transparency to cyber operations, and uncomplicated endpoint-based pricing that includes unlimited data ingestion and long-term retention…

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An In-Depth Look at the Cisco CCDE-AI Infrastructure Certification

An In-Depth Look at the Cisco CCDE-AI Infrastructure Certification

Since OpenAI’s mic-drop moment at the end of last year, it seems that AI—and generative AI in particular—is suddenly everywhere. For network engineers, we see two big areas of change. The first is AI in the network: By integrating AI into networks, we can make those networks more secure, resilient, and higher-performing. The second is AI on the network. The networks that run AI workloads and support the training of generative AI models need to…

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