ES Outlook Weekly Brief
Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from ES Outlook
Enterprise networks have evolved in terms of functioning and usage over the past few decades. Now, modernizing IT, providing the foundation for enterprises to remain competitive are critical for business success. These changes in network complexity and composition are fueled by the increasing use of the network to provide business-critical IT services. In parallel with this development in the network, it has become challenging and time consuming to create and manage systems.
Today network monitoring tools have begun to implement artificial intelligence and machine learning into their systems. Network performance monitors can utilize AI to analyze and respond to performance data. The use of Ai is widespread today, and more and more companies are reaping the benefits that AI brings to their networks. Networks generate a mass volume of data daily, and AI can sift through this as it travels along with the system. Network AI examines data regularly and provides a historical and current data to compare against. Implementing machine learning to study past data can offer insights about network trends. It analyzes the problematic data to identify issues and deal with them. Thus alerts can be sent on malicious information without performing an in-depth analysis every time.
Check out: Top Artificial Intelligence Companies
In addition to detecting and alerting problems, AI can serve with the solution to issues without human input. Using AI and machine learning organizations can learn about issues that affect their networks and figures out the solutions that are best to deal with them. Combined with the potential to identify network problems AI is an incredible source for stopping damaging issues before they harm the network. The other inherent benefits of using AI or machine learning components include:
• Reducing the time and budgetary overheads with the manual process
• Provides increased visibility into network performance and user experience
• Capturing data from a variety of sources
• Gives IT teams better insights into network speed, power, efficiency, and intelligence
There may be false positives during the early days of the AI adoption, but there is no doubt that AI and machine learning will disrupt the network operations and management business.
Few Top Artificial Intelligence Companies (4R Systems, AI.io, Catchoom)
By Kim Tracy, CIO, Northeastern Illinois University
By William Miller, SVP & CIO, Broadcom, Inc.
By Dr. Cheryl Flink, Chief Strategy Officer, Market Force
By Paul Kent, VP-Big Data, SAS
By Tom Conophy, CIO, Staples Inc.
By Mark Lilien, SVP & CIO, Things Remembered
However, if you would like to share the information in this article, you may use the link below: