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AIOps to Emerge as a Mainspring of Autonomy in the Evolving IT Ecosystem

In this contributed article, Saloni Walimbe discusses the AIOps market for 2022. Increasing complexities in technological systems will necessitate the use of AIOps tools to minimize dependency on human intervention in data management. AIOps is serving as a guiding force for companies looking to transition from reliance on third-party specialists and sources to a more self-automated approach to their operations.

Monq Lab Releases Monq Free Community Edition – the Topology-based, AIOps Incident Control and Automation Platform for Enterprises and SMEs

Monq Lab SIA, a leading AIOps developer, has released Monq Free Community Edition, the free version of its self-hosted topology-based AIOps incident control and automation platform for enterprise. Monq Free Community Edition — the complete AIOps platform built on a topology database — can be installed on IT infrastructure and used at absolutely no charge. Using machine learning and advanced correlation, the platform decreases the noise level up to 95% and boosts the speed of incident resolution to 60%.

How to Develop a Long-Term AIOps Strategy

In this contributed article, Sean McDermott, CEO and founder of Windward Consulting Group and RedMonocle, discusses how AIOps isn’t just a solution, it’s a long-term strategy for increasing performance, predicting outages, automating mundane tasks and improving risk management. These ultimately allow IT teams to add business value, spend more time innovating and less time fixing, and improve the overall customer experience.

Why Your AIOps Deployments Could Fail

In this contributed article, Gab Menachem, Senior Director, Product Management, ITOM at ServiceNow, outlines why many organizations are still struggling to deliver effective AI/AIOps strategies in the COVID-19 era and share steps they can take to maximize the potential of these solutions.

Digitate Announces Results of Inaugural Autonomous Enterprise Survey, Reveals Redundant Tasks as Number One IT Operations Challenge

Digitate, a leading autonomous enterprise software provider, announced the results of its inaugural Autonomous Enterprise survey. Digitate surveyed leading European AIOps influencers in September 2020. The report aimed to better understand how Artificial Intelligence (AI)-enabled Intelligent IT Operations and automation are impacting IT Infrastructure, applications, end-user services for European companies, and the barriers that might be preventing them from realizing its full potential.

Autonomous Enterprise: The Case for AIOps

Digitate, a leading autonomous enterprise software provider, announced the results of its inaugural Autonomous Enterprise survey. Digitate surveyed leading European AIOps influencers in September 2020. The report aimed to better understand how Artificial Intelligence (AI)-enabled Intelligent IT Operations and automation are impacting IT Infrastructure, applications, end-user services for European companies, and the barriers that might be preventing them from realizing its full potential.

The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications

Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.

The Future Starts Now – Achieving Successful Operation of ML & AI-Driven Applications

Operationalizing AI and ML has become an unavoidable need in business, as various industries heavily rely on large volumes of real-time data as input to automated decision-making processes to yield the best results. Use cases in the data science field have shown that ML models and AI have few tangible business benefits until they are operationalized. In this e-book, our friends over at MemSQL show us how to successfully deploy model-driven applications into production.

Cloud Services Survey Reveals Critical Need for AI-Driven Continuous Optimization

Our friends over at Opsani announced the results of a year-long survey of hundreds of enterprises running cloud services that revealed a critical need for artificial intelligence (AI)-driven, continuous optimization of live applications and their environments. Results showed companies are running a robust continuous integration (CI), continuous delivery (CD) tool-set for their applications, but are neglecting the post-release portion of the delivery pipeline—continuous optimization of live cloud apps and their environments—resulting in declining user experiences and soaring cloud costs.

Survey Reveals Widespread Lack of IT Planning for AIOps

A recent survey of IT, business, security and operations executives shows that 76 percent of IT teams have not yet implemented artificial intelligence technologies to improve data center operations, despite the benefits of AIOps for business efficiency. In addition, just over half of survey respondents still have no budgets planned for AIOps projects in the next one to three years. Further, the survey reveals that most IT leaders are still struggling to implement effective strategies for AIOps due to a lack of clarity about their own technology expectations and business objectives.