A McKinsey study prior to the COVID-19 pandemic suggested that while the idea of automating processes has been in the minds of leadership even before 2020, for the most part those that had serious inclinations went so far as to do pilot trials of one or more business functions. 

The mobility restrictions induced by the pandemic and the imperative to move on may be just the impetus to trigger a more serious investment around automation beyond just the adoption of business process automation and robotic process automation.

With us today is Carlos Gómez Gallego, Chief Technology Officer, APJ, Aruba Networks, to talk about the evolving challenges in the journey to automation and just how, maybe, AI holds at least one of the keys to a wider and more fruitful adoption of the concept.

What are some of the toughest operational challenges faced by APJ enterprises and their IT teams today, and how are traditional IT tools lacking in helping enterprises operate a seamless networking infrastructure?

1.       How do you see emerging technologies solving these challenges?

2.       What is artificial intelligence for IT operations or AIOps and can you cite a couple of new trends arising from the use of this technology?

3.       A few issues that come to mind whenever we talk about emerging technologies: scalability, security, trust. 

·       Let’s start with scalability – is AIOps technology today mature enough to cost-effectively scale?

·       Security – can we guarantee that AIOps is as secure as it can get today?

·       Finally trust – do you see humans willing to let an AI autonomously perform a complex, even critical function without supervision?

4.       What does a robust AIOps strategy look like? 

5.       How can enterprises improve network connectivity and build a resilient infrastructure in 2022?