Technology Resources and Supporting Documentation for IT Decision Makers
Technology resources serve as the backbone for informed decision-making in IT environments. The convergence of edge computing, embedded AI, data center modernization, and cloud services is reshaping how organizations of all sizes—from small businesses to enterprise offices—deploy, secure, and scale their technology environments.By leveraging these interconnected resources, IT leaders can build secure, efficient, and future-ready infrastructures that empower innovation, protect assets, and drive sustainable growth.
Modern Infrastructure and Multicloud Resource Hub
Cloud Technology Resources
Cloud Technology
Cloud technology delivers computing resources—such as servers, storage, networking, databases, and software—over the Internet, enabling flexible, scalable solutions. It encompasses virtualization and a broad range of service models collectively known as Anything as a Service (XaaS), including SaaS, IaaS, PaaS, BaaS, SECaaS, DaaS, DBaaS, DRaaS, and UCaaS. These services allow organizations to access applications, infrastructure, and platforms without heavy upfront investment.Cloud also supports edge computing, bringing processing closer to data sources for faster performance, and integrates backup and disaster recovery to ensure business continuity. Benefits include cost efficiency, improved productivity, and rapid scalability. However, risks such as security vulnerabilities, cost overruns, and downtime require careful planning.
When implemented strategically, cloud technology empowers businesses to innovate while maintaining resilience and operational agility.
Edge Computing
Moving data processing to the edge enables businesses to deliver faster data-driven insights. But there are also a number of challenges. The decentralized nature of edge computing creates a number of vulnerabilities, making robust security measures imperative. Proper planning and implementation are critically important. Read our guide to get started.
Cloud Networking and NaaS
Cloud networking and Network as a Service (NaaS) modernize enterprise infrastructure by shifting from hardware-centric systems to flexible, cloud-delivered platforms. They provide scalable, agile, and cost-efficient connectivity while integrating with SASE, Zero Trust, and AIOps. With automation, AI, and edge computing, networks evolve into intelligent, secure, and adaptive architectures.
Lenovo TruScale Device as a Service (DaaS)
Data Center Technology Resources
Data Center Technology
Modern data centers have transformed from static infrastructure into dynamic, intelligent ecosystems built for scalability, efficiency, and resilience. They integrate advanced compute resources—such as high-performance servers and scalable storage—with automation and analytics to support AI, cloud, and edge workloads. A key innovation is AIOps, which applies artificial intelligence to IT operations for predictive maintenance, anomaly detection, and optimized resource allocation. Other advancements include liquid cooling for energy efficiency and digital twin simulations that model performance in real time. These technologies enable proactive monitoring, reduce downtime, and improve sustainability while meeting the growing demands of complex workloads. By combining intelligent automation with robust compute infrastructure, today’s data centers deliver agility and reliability essential for modern enterprises.
Computer Servers
Server technology forms the foundation of modern computing infrastructure, enabling the processing, storage, and management of data across various applications. Servers are powerful machines designed to handle multiple tasks simultaneously, providing services and resources to other computers and devices within a network. The evolution of server technology has significantly advanced, leading to higher efficiency, reliability, and scalability.
Data Center Storage
Data center storage integrates hardware, software, and systems to manage vast digital data efficiently. It includes HDDs, SSDs, and SANs, supporting high availability, redundancy, and disaster recovery. Modern solutions emphasize scalability, virtualization, and cloud integration to meet evolving enterprise demands for speed, resilience, and secure data access.
Data Center AI Planning
This strategic guide provides a comprehensive roadmap detailing the critical steps, advanced technologies, and proven best practices necessary to transform traditional data centers into intelligent, automated, and highly scalable infrastructures. It focuses on optimizing operations for artificial intelligence workloads while ensuring efficiency, resilience, and future-ready performance.
Embedded AI Resources Resources
Embedded AI
Embedded AI is transforming both user experiences and IT operations by bringing intelligence directly to endpoints, applications, and infrastructure. Unlike traditional cloud-based models, it processes data locally, reducing latency, improving reliability during connectivity issues, and enabling real-time decision-making. For employees, embedded AI enhances productivity by automating routine tasks, streamlining workflows, and enabling smarter interactions within familiar tools. It offers a low-friction path to adoption, integrating seamlessly into existing environments while providing flexibility for future customization.On the IT side, embedded AIOps revolutionizes infrastructure management through predictive analytics, automated remediation, and full-stack visibility—reducing manual workloads and accelerating issue resolution. These capabilities optimize costs and maintain consistent performance across hybrid environments. Together, embedded AI and AIOps empower organizations to operate faster, smarter, and more resiliently, making them foundational to modern enterprise strategies.
AI PCs
AI PCs boost employee productivity by automating routine tasks, enabling real-time insights, and enhancing collaboration. They streamline workflows, improve responsiveness, and support hybrid work environments, empowering employees to focus on mission-critical, high-value projects with greater efficiency and impact.
Artificial Intelligence for IT Operations (AIOps)
AIOps leverages artificial intelligence and machine learning to automate IT operations, predict and prevent issues, and optimize infrastructure performance. It enables proactive monitoring, rapid incident resolution, and cost savings, helping organizations achieve higher efficiency, reliability, and visibility across complex, hybrid cloud environments.
Transforming Devices at the Edge
Embedded AI is transforming edge devices by enabling local data processing, reducing latency, enhancing privacy, improving energy efficiency, and lowering costs. This informative guide highlights industry applications, architectural advances, and strategic steps for adoption, emphasizing the device-to-cloud continuum that drives innovation, resilience, and sustainable business growth.
Endpoint Protection Resources
Endpoint Protection
Endpoint protection has evolved to address the challenges of hybrid work, sophisticated cyber threats, and strict compliance standards. Modern solutions deliver layered security by combining hardware-based safeguards, AI-driven threat detection, and centralized management tools. This integrated approach ensures every device, user, and workload is protected across distributed environments. By leveraging real-time analytics and automation, endpoint security minimizes risk, accelerates response times, and simplifies administration for IT teams. These capabilities not only defend against malware and ransomware but also help maintain regulatory compliance and data integrity. As organizations expand their digital footprint, robust endpoint protection becomes essential for securing business operations and enabling productivity without compromising security.
Extended Detection and Response
Extended Detection and Response (XDR) unifies security across endpoints, identities, email, network, and cloud, helping IT teams detect and respond to threats faster. Unlike siloed legacy tools, XDR consolidates alerts, reduces manual effort, and automates containment. This approach strengthens defenses, streamlines compliance, and delivers enterprise-grade protection for organizations of any size—all without requiring large security teams.
SASE and Zero Trust
SASE and Zero Trust work together to secure endpoints by verifying every user and device before granting access. SASE delivers cloud-based protection, while Zero Trust enforces strict, identity-driven controls which help organizations reduce risk, improve visibility, and ensure secure access for all endpoints.
Endpoint Security: AI and Hybrid Work
Endpoint security is evolving to meet the demands of AI-driven threats and hybrid work environments. Organizations must protect diverse devices, including laptops, tablets, smartphones, and IoT, across remote and office settings. Layered defenses, including hardware safeguards, Zero Trust, and XDR, reduce risk, improve visibility, and unify protection to secure every endpoint consistently.
Network Technology Resources
Network Technology
Network technology is rapidly evolving to support cloud-native infrastructure, edge computing, and AI-driven automation. Modern networks have shifted from rigid hardware to dynamic, software-defined architectures that enable centralized control, rapid provisioning, and seamless scalability. This flexibility allows IT teams to adapt quickly to changing business needs without costly reconfiguration. Automation and AI now play a critical role, handling routine tasks like traffic optimization and configuration while predictive analytics reduce downtime and improve reliability. Security frameworks such as Zero Trust are becoming standard, enforcing continuous verification and micro-segmentation to protect against advanced threats in hybrid and remote environments. Additionally, the rise of IoT and edge computing demands low-latency connectivity and real-time analytics, driving investment in high-bandwidth solutions and intelligent monitoring. Together, these innovations create agile, secure networks capable of supporting decentralized workloads and resilient digital operations.
AIOps for Networks
Artificial intelligence and machine learning are used to automate network operations, detect anomalies, and predict failures. AIOps transforms network management from reactive troubleshooting to proactive optimization, improving reliability, security, and efficiency. It enables self-healing, adaptive infrastructure, reducing downtime and operational costs while enhancing user experience and visibility.
Zero Trust Policy and SASE Delivery Architecture
This guide explains how Zero Trust and SASE frameworks pair to secure modern distributed networks. It covers identity-driven access, policy enforcement, network security convergence, automation, and governance, offering practical steps for organizations to implement resilient, scalable, and compliant secure access architectures.
Education Technology Resources
Education Technology
Technology plays an integral role in any educational setting—from large universities to small, single-classroom schools and homeschool pods. Education technology—computers and tablets, interactive displays and projectors, network infrastructure, software solutions, and more—are essential for today’s educational institutions.
Classroom Technology
Technology plays an important role in helping educators overcome the latest educational challenges—all while facilitating student learning—regardless of whether it’s in a physical or virtual learning environment. Get the latest classroom resources to aid administrators, empower educators, and inspire students to strive further.