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About Cabling Installation & Maintenance

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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Media Advisory – the Pros/Cons of Artificial Intelligence – Dr. John Yawney, Chief Analytics Office, Adastra

By: via Business Wire

Geoffrey Hinton, known as the "godfather of AI," announced his departure from Google on Monday amidst concerns over the potential risks to society of unchecked artificial intelligence (AI). Adastra’s Dr. John Yawney, an expert with over a decade of professional and academic experience in AI, is available to delve into greater detail about some of AI’s difficulties.

Pros

  1. Operational efficiencies – Many businesses have had enormous successes in using AI to increase product quality to profitability through greater efficiencies. From improvements in warehouse safety, supply chain management and product quality indexes and more, AI has contributed vast improvements to many organizations. It is scaling rapidly due to the increased amount of data creation and processing power.
  2. Enhanced Decision-Making – The ability to make better decisions through AI enhancements including operational choices, complex problem solving, strategic adjustments and performance assessments – all in real time. Model explainability can also allude to new relationships between decisions and decision support variables that may not be immediately evident.
  3. Technical Advancements – Allows organizations to make informed decisions with multiple data points more quickly and unlocks potential to greater insights across various unstructured data sources and provides the facility to solve new currently unsolved problems. 

Cons

  1. Governance - Another level of governance responsibility is required. Managing this undertaking now will undoubtedly result in fewer issues down the road. Ensuring we are using AI responsibly is an important aspect of managing AI effectiveness.
  2. Social Responsibility – We need to consider the moral compass of what might be required in the future. If we are replacing human workforce with robotics, how are we re-training those individuals. What social safety net is required? AI must be designed so that it is adding enough jobs to the workforce to replace those that it will supplant. However, this will require ongoing resource training and evolution within the workforce.
  3. Fear of the Unknown – It is human nature to fear what we don’t understand. What happens when autonomous cars are hacked? Or if my washing machine starts communicating with my fridge? There are many hypotheticals on what changes AI may bring forward and many yet to be discovered.

Furthermore, there is great deal of talent working with computational speeds not imagined even five years ago while the addition of quantum computing will undoubtedly move AI efficiencies even farther along.

The future remains undetermined and Dr. Yawney would be happy to speak to the next frontier of AI and its pros and cons in greater depth.

Dr. John Yawney, Chief Analytics Officer at Adastra, has executive oversight of the Data Science Practice, leads the development of the AI solutions portfolio, and holds Adjunct Professor status at McMaster University. The advancement of the Analytics Space at Adastra Canada and global offices rely on John’s expertise and his development of practical but theoretically sound solutions and AI service frameworks, for which he leverages his joint academic and industry focus. John received his Ph.D. in Applied Mathematics from the University of Waterloo and has extensive experience with building production AI/ML systems and performing numerical and statistical analyses. His research portfolio/focus includes numerical simulations of nonlinear systems, epidemiological modelling, applied AI applications, and smart systems.

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