Wi-Fi 8: The Future of Wireless Connectivity, Even as Wi-Fi 7 Takes Hold

The world of wireless connectivity is undergoing another evolution. Qualcomm’s recent webinar on Wi-Fi 8 offered a compelling glimpse into where this technology is headed and why it may matter more than most people realize. What stood out was not just the promise of faster speeds, lower latency, and stronger reliability, but also the context …

Evolution of Wireless Technologies: From 4G to 6G

Wireless technology has rapidly evolved, transitioning through generations that have consistently reshaped communication, connectivity, and societal possibilities. Each generation, 4G, 5G, and the emerging 6G, brings unique characteristics and enhancements, redefining sustainability, network architectures, and service capabilities. The progression from 4G to 5G, and now to the anticipated 6G, reflects not just a pursuit of …

The AI-Connectivity Imperative: Why Tomorrow’s Intelligence Depends on Today’s Network Decisions

The convergence of artificial intelligence and advanced connectivity isn’t just another technology trend; it’s the foundation of how businesses will compete. Organizations investing in wireless infrastructure today will lead tomorrow’s AI economy. Those waiting will struggle to catch up. That’s what I’m seeing after spending the week with manufacturers gearing up to pursue lights-out manufacturing …

PIER Group – Partners in Education & Research

PIER Group exists to be more than a service provider, they’re true partners in the advancement of research and education technology. Born from a passion to serve the unique needs of universities and research institutions, the team brings decades of collective experience helping customers. Their mission is deeply rooted in collaboration — working alongside IT …

Google, Generative AI and the Future of Search

There are seismic shifts happening in the search landscape. Just ask ChatGPT. Since 2023, Google, the search engine nearly synonymous with search itself, has seen its market share decline from 92% to about 89%. While a three-point share loss may seem small, it represents billions of lost Google searches each month. Meanwhile, Google’s generative AI …

Google Sets the Stage for Hybrid AI with Cloud Next Announcements

There’s been a lot of discussion recently on how AI applications are evolving but based on many of the announcements that Google made at their Cloud Next event in Las Vegas, it seems increasingly clear that hybrid is where many of these developments are headed. To be clear, Google made an enormously and impressively broad …

Google Cloud Pushes Agentic AI Security Frontiers with New Cloud Platform Enhancements

Google Cloud has entered a pivotal phase in AI security, unveiling a wealth of new features at its annual Google Cloud Security Summit. With the rapid growth of AI agents — autonomous models that perform enterprise tasks and adapt dynamically — identity and security controls are under the microscope. Google Cloud Platform (GCP) is now …

NetApp ONTAP: Revolutionising Data Management for the AI Era

Given the growing demands of Data and AI workloads, particularly in the context of deep learning and generative AI. By leveraging a disaggregated infrastructure and introducing Intelligent Data functions, ONTAP provides a robust platform that enhances data management, scalability, and performance for these workloads. Below is a detailed explanation of how ONTAP benefits Data and …

How NetApp is Powering Cloud Innovation with AWS, Azure & Google Cloud

In the multi-cloud world we live in, managing enterprise data efficiently across platforms is no longer a luxury — it’s a necessity. NetApp, a long-standing leader in enterprise storage and data management, has strategically positioned itself as a key enabler of hybrid and multi-cloud success by deeply integrating with AWS, Microsoft Azure, and Google Cloud …

Harnessing the Power of the Model Context Protocol with Secure and Efficient Data Workflow

As artificial intelligence (AI) continues to transform industries, the ability to integrate large language models (LLMs) with real-time, context-rich data is becoming a game-changer. The Model Context Protocol (MCP), developed by Anthropic, is at the forefront of this revolution, enabling LLMs to seamlessly connect with external tools and data sources. However, deploying MCP requires careful …