Being operationally efficient sits at the top of Digital Transformation initiatives. However, the distributed nature of IT is making this goal more challenging than ever as ESG research has found that 54% of IT leaders and staff are navigating networks that are significantly more complex than two years ago. It’s clearly a challenge that will continue to loom large as IoT, cloud and new security technology emerges.
While the goal of an autonomous network may be more of a future aspiration, this is where Artificial Intelligence for IT Operations (AIOps) can help. With complex networks, legacy infrastructure and, of course, IT skills gaps causing frustration and concern, AI and automation can help businesses streamline deployments, troubleshooting, performance and security of users, IoT and BYOD. This requires varied and purpose-built telemetry, mature models, cloud scalability and real-time insights that can be trusted.
The reality is that adopting AIOps and understanding how AI-powered analytics lead to operational efficiency can be overwhelming. In this discussion, Bob Laliberte, Principal Analyst ESG and Larry Lunetta, VP of Portfolio Solutions Marketing at Aruba, are here to provide clarity and discuss how the latest technology trends and research can help IT leaders make better networking decisions for their business.
Join them to learn:
- Why AIOps for networking is now mission critical
- The role of data in delivering AI results that are actionable
- How cloud-based network solutions offer insights that can be leveraged for insights that help IT quickly solve network, security and application-level issues
- What a unified network infrastructure approach looks like and the rewards it can lead to
- Top use cases for IT and network automation
- And more…