In recent years, slews of tech professionals have turned their attention to AI, automation and cybersecurity and the benefits they can provide in the enterprise. At IBM's Think 2022 conference, a session titled "Rethinking ITOps with AI and automation" provided insight on the need for digital transformation and the role AI, automation and cybersecurity play in this effort to modernize IT operations. If organizations want to transform and scale to meet today's challenges, AI will need to play a key role in accelerating this, according to the speakers. AI not only automates repetitive tasks so human professionals can focus on innovation and moving forward, but the technology also mitigates contemporary global issues such as supply chain disruption. "I've seen a lot of organizations using AI technology for charting out the whole network of the ecosystem of the supply chain," said Ritu Jyoti, program vice president of AI strategies at IDC's software market research and advisory practice.

The next step in new technology adoption certainly is appealing to IT leaders and enterprise executives. They can try new and different things. Yet success with concepts such as artificial intelligence (AI) and machine learning is less about technology and more about people. AIOps, observability, continuous intelligence, cloud and remote work require a rethinking of the IT organization, new degrees of trust in data, and dramatic changes in the workforce. This ain't plug and play.

Conversational AI amalgamates traditional software, such as chatbots or some form (voice or text) of interactive virtual assistants, with large volumes of data and machine learning algorithms to mimic human interactions. This imitation of human interactions is made possible by its underlying technologies -- machine learning, more specifically, Natural Language Processing (NLP). Conversational AI can recognize speech input and text input and translate the same across various languages to provide customer support using either a typed or spoken interface. A voice assistant or a chatbot empowered by conversational AI is not only a more intuitive software for the end user but is also capable of comprehensively understanding the nuances of a human query. Hence, conversational AI, in a sense, enables effective communication and interaction between computers and humans.

This calls for an increase in budgetary allocation increase and more computing power (that can be leveraged) to be added from outside core IT. AIOps bridges the gap between service management, performance management, and automation within the IT eco-system to accomplish the continuous goal of IT operation improvements. AIOps creates a game plan that delivers within the new accelerated IT environments, to identify patterns in monitoring, service desk, capacity addition and data automation across hybrid on-premises and multi-cloud environments.

This calls for an increase in budgetary allocation increase and more computing power (that can be leveraged) to be added from outside core IT. AIOps bridges the gap between service management, performance management, and automation within the IT eco-system to accomplish the continuous goal of IT operation improvements. AIOps creates a game plan that delivers within the new accelerated IT environments, to identify patterns in monitoring, service desk, capacity addition and data automation across hybrid on-premises and multi-cloud environments.

While moldering pumpkins, denuded mum plants, and lawns strewn with leaves can be hidden by a heavy blanket of snow, neglecting to keep up on tech will surely secure a place for you on the naughty list. Not worth the risk when you can easily catch up on the latest goings-on in ITOps, AIOPs, and IT monitoring with our blog. According to a recent article in BizTech Magazine, Forrester predicts over half of surveyed enterprises are expected to adopt AI in the next four years, while recent data from AIOps Exchange agrees with a prediction of 68 percent. This adoption is continuing to be driven by the ever-increasing volume, variety, and velocity of data generated by IT. It's not news that technical complexity is increasing, nor that digital transformation and AIOps adoption are becoming critical to effective data analysis.

Orchestrators and resource managers have matured greatly in the past decade, becoming workload engines in the enterprise. This rapid adoption is being driven by Kubernetes, the top choice for container orchestration, according to recent studies. By standardizing on an orchestrator platform (e.g., Kubernetes), an organization can strive for "workload nirvana"--a journey that often requires navigating complexities of scale that distributed systems demand. The growing complexity of these systems, combined with the deluge of data they generate, requires new solutions for IT professionals who must optimize and glean insights from this highly challenging environment. Artificial intelligence of IT operations--better known as AIOps--will enable enterprises to reach these goals.

Mckinsey Global Institute Report of 2018 states that Artificial Intelligence (AI) has the potential to create annual value of $3.5 billion -$5.8 billion across different industry sectors. Today, AI in Finance and IT alone accounts for about $100 billion and hence it is becoming quite the game changer in the IT world. With the onset of cloud adoption, the world of IT DevOps has changed dramatically. The focus of IT Ops is changing to an integrated, service-centric approach that maximizes business services availability. AI can help IT Ops in early detection of outages, potential Root Cause prediction, finding systems and nodes which are susceptible to outages, average resolution time and more.

According to McKinsey's Global Institute Report of 2018, artificial intelligence (AI) has the potential to create an annual value of $3.5 billion to $5.8 billion across different industry sectors. Today, AI in finance and IT alone accounts for about $100 billion; hence, it is becoming quite the game changer in the IT world. With the onset of cloud adoption, the world of IT DevOps has changed dramatically. The focus of ITOps is changing to an integrated, service-centric approach that maximizes business services availability. AI can help ITOps in early detection of outages, potential root cause prediction, finding systems and nodes that are susceptible to outages, average resolution time and more.

What is the future of ITOps, and how is technology shaping that future? At a recent meet-up--co-hosted by Workato, Coupa, and VictorOps with guests from Splunk, Prysm, and Praecipio Consulting--ITOps professionals of all stripes gathered to hear a panel of industry experts address these questions. Leaders from four high-profile SaaS companies shared their insight into what the changing world of ITOps holds and how businesses can gain a competitive edge. One recurring theme all panelists agreed on is the power that emerging technologies like artificial intelligence (AI) and machine learning (ML) can bring to ITOps. "We need to ask: how can you augment processes with AI and ML?" commented Sreeni Garlapati, the VP of IT at Prysm.