LiveAction announced that users can now leverage LiveWire in concert with Artificial Intelligence (AI) to better refine network operations.
LiveWire will now allow users to easily export their network packet data for use in AIs to find patterns that human operators might otherwise miss.
LiveWire now allows users to easily export their data and use it with the AIs – such as ChatGPT. From there, they can more easily address a wide range of network issues by combining these network data sets with AI capabilities.
This can make addressing previously complex network issues into natural language questions. For example, when voice jitter becomes a problem, administrators can use their network monitoring data in an AI to merely ask questions like “do we have any voice problems?”, “where?”, “for how long?” and “how do I address it?”
These capabilities can also be used to unearth previously unnoticed patterns in text-heavy data, uncover contextual relationships in network events that would be difficult for a human administrator and simplify previously complex workflows.
John Smith at LiveAction notes “AIs and Large Language Models (LLM) are having rapid and transformative effects on the world around us. However, many still aren’t aware of how they can leverage them with the data they already own. LiveWire gives users an easy way to supercharge their network monitoring data with these emerging technologies.”
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...