• About
  • Subscribe
  • Contact
Wednesday, July 2, 2025
    Login
FutureIOT
  • Technology
    • Sensors and Instrumentation
    • Devices
    • Cloud and Platforms
    • Research and Development
    • Governance, Standards and Regulations
    • Application and Middleware
    • Security
    • Big Data and Analytics
    • AI and Machine Learning
  • Industry
    • Manufacturing
    • Transportation and Logistics
    • Retail and E-commerce
    • Banking and Financial Services
    • Government, Healthcare and Education
    • Industrial
  • Application
    • Smart Cities
    • Future Workplace
    • Commercial
    • Smart Home
    • Customer Engagement
  • Resources
  • Podchats
  • Videos
  • Events
No Result
View All Result
  • Technology
    • Sensors and Instrumentation
    • Devices
    • Cloud and Platforms
    • Research and Development
    • Governance, Standards and Regulations
    • Application and Middleware
    • Security
    • Big Data and Analytics
    • AI and Machine Learning
  • Industry
    • Manufacturing
    • Transportation and Logistics
    • Retail and E-commerce
    • Banking and Financial Services
    • Government, Healthcare and Education
    • Industrial
  • Application
    • Smart Cities
    • Future Workplace
    • Commercial
    • Smart Home
    • Customer Engagement
  • Resources
  • Podchats
  • Videos
  • Events
No Result
View All Result
FutureIOT
No Result
View All Result
Home Technology AI and Machine Learning

AI success depends on network readiness

FutureIoT Editors by FutureIoT Editors
June 27, 2025
Photo by Pixabay: https://www.pexels.com/photo/white-switch-hub-turned-on-159304/

Photo by Pixabay: https://www.pexels.com/photo/white-switch-hub-turned-on-159304/

A recent research from Enterprise Management Associates (EMA) reveals that network readiness is crucial for successful AI adoption. The report, "Readying Enterprise Networks for Artificial Intelligence," surveyed 269 North American IT professionals and highlights the challenges and strategies for preparing enterprise networks for AI workloads.

AI applications demand high-speed, low-latency, and lossless connectivity due to their unpredictable traffic patterns. This necessitates significant upgrades and re-architecting of both data centre networks and wide-area networks (WANs).

As AI workloads become distributed across public clouds, data centres, and the enterprise edge, the need for robust and adaptable network infrastructure becomes even more critical.

The EMA report identifies key business challenges, including security risks (39%), budget constraints (34%), and the difficulty of keeping pace with AI innovation (33%). These challenges reflect wider industry concerns about the complexities and costs associated with AI implementation. According to a 2024 Gartner report, AI security and risk management are top concerns for organisations.

Interestingly, 42% of companies have established AI centres of excellence to guide strategy across technical teams and business units. This indicates a proactive approach to AI governance and a recognition of the need for centralised expertise.

Furthermore, organisations that can automatically apply quality of service (QoS) or routing policies specific to AI-related traffic report greater success in preparing their networks. This highlights the importance of network automation and intelligent traffic management.

The findings underscore the need for IT teams to prioritise network optimisation as a foundational element of their AI strategies. Failure to address network readiness could undermine investments in AI technology. As Shamus McGillicuddy, VP of Research at EMA, notes, networks will "make or break" enterprise AI investments.

Related:  What’s inside Shanghai’s first smart library?
Tags: Artificial IntelligenceEnterprise Management AssociatesWAN
FutureIoT Editors

FutureIoT Editors

About FutureIoT

Asia’s ONLY dedicated IoT publication

The race to harness the power of Internet of Things (IoT) is here. FutureIoT is dedicated to individuals, as well as public and private organizations looking to tap the potential of IoT to transform the way we live, work and do business. FutureIoT is the dedicated media that provides the single source of truth about IoT, the technology, its application and regulation, originating from Asia. << Read more >>

Quick Links

  • Subscribe
  • Contact
  • Privacy Policy
  • Cookie Policy
  • Terms of Use

Categories

Recent News

Photo by Google DeepMind: https://www.pexels.com/photo/camputing-fields-designs-25626445/

Generative AI tops disruption matrix; energy a concern.

July 1, 2025
PodChats for FutureCOO: Balancing scalability-resilience: The shared services conundrum

PodChats for FutureCOO: Balancing scalability-resilience: The shared services conundrum

June 30, 2025
  • Privacy Policy
  • Terms of Use
  • Cookie Policy

Copyright © 2022 Cxociety Pte Ltd | Designed by Pixl

Login to your account below

or

Not a member yet? Register here

Forgotten Password?

Fill the forms bellow to register

All fields are required. Log In

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Technology
    • Sensors and Instrumentation
    • Devices
    • Cloud and Platforms
    • Research and Development
    • Governance, Standards and Regulations
    • Application and Middleware
    • Security
    • Big Data and Analytics
    • AI and Machine Learning
  • Industry
    • Manufacturing
    • Transportation and Logistics
    • Retail and E-commerce
    • Banking and Financial Services
    • Government, Healthcare and Education
    • Industrial
  • Application
    • Smart Cities
    • Future Workplace
    • Commercial
    • Smart Home
    • Customer Engagement
  • Resources
  • Podchats
  • Videos
  • Events
Login

Copyright © 2022 Cxociety Pte Ltd | Designed by Pixl

Subscribe