“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.
Join me on Conference Day: Tuesday, September 21 at 1:15 pm.
At the time of writhing this, we happen to be immersed in the makings of a brave next normal where everything can be revisited and rethought to be better delivered as a seamless service. The ‘experience economy’ is finally taking hold. This means that a ‘customer-first’ mindset and an unwavering commitment to ‘outstanding quality’ are essential to win hearts and minds because what ‘value’ is (and is not) at any given point of time remains a human consideration informed by our experiences.
Digitalization has not only accelerated beyond expectations during the recent pandemic, but has also furthered the relentless adoption of pervasive communication technologies and AI, Artificial Intelligence, across industries. Given the exponential rise of autonomous systems that can enable on-demand self-service coupled with instant mass customization… the more we digitize, the greater the reach and, therefore, the more pressing the need to excel at Human Centered AI with moral imagination and creative confidence.
Jose de Francisco is the Chief Designer at Nokia CNS, Cloud & Network Services, and Co-Head of Nokia’s Chicago Innovation Center, a leading R&D facility integrating all of the company’s business groups. His professional experience encompasses interdisciplinary leadership responsibilities in strategy, product management, research, design, new ventures and marketing.
Award-winning designer and a Distinguished Member (DMTS) of Bell Labs for work on next generation mobile platforms and applications, Jose holds several active patents and an extensive design portfolio featuring 20+ brands. He has served with the Advisory Boards for MIT’s Institute of Data, Systems and Society (IDSS) and Illinois Tech’s Entrepreneurship Center. Jose is currently engaged with Design & Innovation Global, the think tank behind the premier Design Thinking conference series in the United States and is a core team member of TM Forum’s DMM (Digital Maturity Model) and DOT (Digital Organizational Transformation) projects.
Holds several professional certificates in Design and Data Science from MIT, earned an MBA in International Marketing and Finance from Chicago’s DePaul University as a Honeywell Europe Be Brilliant Scholar, and is the recipient of postgraduate degrees in Human Factors Engineering and Business Administration from BarcelonaTech (UPC) and Ireland’s University College Dublin (UCD) respectively. He started his academic life in the Industrial Design program of Barcelona’s Massana Art & Design Center as an Epson Scholar.
Passionate about innovating to create new value, Jose co-authored the ‘Human Factors Engineering Manifesto’ and believes in the exceptional value that comes with consistently delivering ‘Quality Experiences by Design’ (QXbD.) His endeavors can be followed on innovarista.org.