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Our mission: Bringing practical business and technical intelligence to today's structured cabling professionals

For more than 30 years, Cabling Installation & Maintenance has provided useful, practical information to professionals responsible for the specification, design, installation and management of structured cabling systems serving enterprise, data center and other environments. These professionals are challenged to stay informed of constantly evolving standards, system-design and installation approaches, product and system capabilities, technologies, as well as applications that rely on high-performance structured cabling systems. Our editors synthesize these complex issues into multiple information products. This portfolio of information products provides concrete detail that improves the efficiency of day-to-day operations, and equips cabling professionals with the perspective that enables strategic planning for networks’ optimum long-term performance.

Throughout our annual magazine, weekly email newsletters and 24/7/365 website, Cabling Installation & Maintenance digs into the essential topics our audience focuses on.

  • Design, Installation and Testing: We explain the bottom-up design of cabling systems, from case histories of actual projects to solutions for specific problems or aspects of the design process. We also look at specific installations using a case-history approach to highlight challenging problems, solutions and unique features. Additionally, we examine evolving test-and-measurement technologies and techniques designed to address the standards-governed and practical-use performance requirements of cabling systems.
  • Technology: We evaluate product innovations and technology trends as they impact a particular product class through interviews with manufacturers, installers and users, as well as contributed articles from subject-matter experts.
  • Data Center: Cabling Installation & Maintenance takes an in-depth look at design and installation workmanship issues as well as the unique technology being deployed specifically for data centers.
  • Physical Security: Focusing on the areas in which security and IT—and the infrastructure for both—interlock and overlap, we pay specific attention to Internet Protocol’s influence over the development of security applications.
  • Standards: Tracking the activities of North American and international standards-making organizations, we provide updates on specifications that are in-progress, looking forward to how they will affect cabling-system design and installation. We also produce articles explaining the practical aspects of designing and installing cabling systems in accordance with the specifications of established standards.

Cabling Installation & Maintenance is published by Endeavor Business Media, a division of EndeavorB2B.

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Complexity, Talent Shortages Slow Enterprise Progress on Data, AI Initiatives: ISG Study

By: via Business Wire

New ISG research finds investments to prepare data for insights, efficiency and AI have not paid off yet for many organizations

Enterprises are still increasing investments in data and AI initiatives, even though many companies say the programs have not yet delivered the benefits they expected, according to new survey research from global AI-centered technology research and advisory firm Information Services Group (ISG) (Nasdaq: III).

The newly released ISG Market Lens™ Data and AI Programs study finds that three-quarters of companies expect to increase their annual budgets in the next two years for projects such as improving data quality, integration and security, even as most overall IT budgets remain flat. A majority of enterprises expect the value created by data initiatives to grow by more than 10 percent in that time. However, high spending in some areas has delivered low performance so far.

“Data is the growth area for IT, especially to support adoption of AI,” said Alex Bakker, ISG distinguished analyst and co-author of the study. “Companies believe investments in data will ultimately enable better insights and efficiency through AI. But multiple technology and operational barriers are preventing many companies from reaching AI goals.”

The data activity most funded by enterprises in 2025 is gaining more business value from insights. Other high spending priorities include increasing productivity and data security and integration. However, large investments in some areas, including productivity and data quality, validation and deduplication, have not yielded strong results for enterprises, the study shows. Companies believe centralized data governance is crucial to AI success, but only 43 percent say they have created a consistent data structure. Thirty-eight percent believe the cost of harmonizing data management outweighs its likely benefits.

Lack of progress on data management has significant implications for AI adoption, ISG says. Making data usable for AI applications is the most-cited data challenge companies expect in 2025-2026, and nearly one-third of enterprises expect data quality, accuracy and consistency to be one of the biggest AI challenges they face.

The complexity of integrating and updating data infrastructure for thousands of applications in a typical large enterprise is a major barrier to success: More than two-thirds of companies say the ability to manage complexity, rather than a lack of innovation, is what hinders their progress on data and AI solutions. While many companies have integrated some financial, employee, IT or other data into centralized management platforms, there is no category of data that has been mostly or completely integrated at a majority of firms.

A lack of expertise is also holding back data and AI projects, the research shows. Enterprises struggle to find employees with both technical skills and industry knowledge who can apply technology for practical purposes. More than one-quarter of enterprises say talent issues have caused the biggest barriers or delays to bringing data initiatives to full production.

To help address the complexity of managing data, enterprises are planning to increase their spending on outsourced data services by an average of seven percent over the next two years, with 60 percent of enterprises engaging new providers. Organizations are seeking providers’ help with data organization, data design, AI and data productivity and access to multidisciplinary talent that combines technical expertise with business understanding.

“Data is seen as a key driver for both revenue growth and profitability, but inflexible design and ineffective tools to expose or share data are holding enterprises back,” said Michael Dornan, principal analyst and co-author of the study. “In the era of AI, enterprises need a business- and data-first approach to solve many of these complexity challenges, and this need is reframing how they engage managed service providers.”

The ISG study, conducted globally in May 2025, surveyed 281 executives in mostly multinational enterprises in the Americas, Europe and Asia Pacific with decision-making responsibility for IT spending in their organization.

ISG Market Lens™ buyer behavior studies combine findings from surveys of senior-level global executives with expert ISG research and analysis on market trends and strategic business initiatives. Recent studies explored IT budgets and spending, GenAI, mainframes, AI, cloud, application development and maintenance , BPO and global capability centers.

Contact ISG for more information on ISG Market Lens research.

About ISG

ISG (Nasdaq: III) is a global AI-centered technology research and advisory firm. A trusted partner to more than 900 clients, including 75 of the world’s top 100 enterprises, ISG is a long-time leader in technology and business services that is now at the forefront of leveraging AI to help organizations achieve operational excellence and faster growth. The firm, founded in 2006, is known for its proprietary market data, in-depth knowledge of provider ecosystems, and the expertise of its 1,600 professionals worldwide working together to help clients maximize the value of their technology investments.

Data is the growth area for IT, especially to support AI. Companies believe investments in data will ultimately enable better insights and efficiency through AI. But technology and operational barriers are preventing many companies from reaching AI goals.

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