Tagged: AIOPs

Human Centered AIOps


Seminar Overview

“AIOps systems integrate big data, machine learning, and analytics to improve IT operations by providing proactive and personal insights through monitoring, automation, and service desk tasks, while also allowing the usage of numerous data sources and data gathering methods. In theory, AIOps can reduce the expenses associated with IT concerns by providing faster remedies to outages and other performance issues.”

“Big data and machine learning are combined in AIOps to provide predictive outcomes that help speed up root-cause analysis (RCA) and reduce mean time to repair (MTTR). Your ITOps can improve over time by providing intelligent, actionable insights that support a better level of automation and cooperation, saving your company time and money.”

“AIOps solutions decrease the flood of alerts that inundate IT teams by learning over time which sorts of warnings should be given to which teams, decreasing redundancy and, as a result, boosting an IT organization’s capacity to be a valuable business partner. An IT operations platform with built-in AIOps capabilities can assist IT operations in proactively identifying and correcting possible issues with the services and technologies it provides to a business.”

#FOAI2022, Future of AIOps for Business. Group Futurista, January 2022.


High Performance Operations

with Human Centered Artificial Intelligence, HCAI

Jose de Francisco, Chief Designer I Nokia CNS, Cloud & Network Services

AI is not only revolutionizing commonplace enterprise operations and fostering digital transformation, but also transforming AI’s own design principles, and agile development and delivery practices in the process.

Human Centered Artificial Intelligence, HCAI, purposely sets-up nimbler interdisciplinary teams for success, so that brands can efficiently perform at greater scale, broader scope and unprecedented speed with customer centric practices.

Principled HCAI addresses highly adaptive operativeness, observability, traceability and explainability, progressive closed feedback loop optimization, all coupled with the behaviors that elevate governance and ethics to the forefront.


Jose de Francisco is the Chief Designer at Nokia Cloud & Network Services, a software leader in the global telecommunications sector, and Head of Nokia’s Chicago Innovation Center, an interdisciplinary R&D facility involving all of the company’s business groups. Jose is an award winning designer and his professional experience encompasses leadership responsibilities in strategy, product & service design, human factors engineering, product line management, new ventures and integrated marketing.


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