In this sponsored post, Eric Herzog, CMO, Infinidat, believes it is possible to apply the B.F.G. equation to an enterprise or service provider / hosting infrastructure without compromising any one of the factors – bigger, faster or greener – for the sake of the others.
Infographic: Unleashing Innovation and Business Value with AIOps
What is AIOps? How big is it? How fast is it growing? Courtesy of Vertica, a new infographic based on the latest research from analyst group IDC has the answers to these basic questions, and more. This infographic maps a path to effective AIOps that any team seeking better customer satisfaction and IT security can follow. Learn how a new AIOps implementation – or an upgrade to your existing platform – can benefit your organization.
Practical AI Techniques for Operationalizing Big Data in Enterprises
In this contributed article, Jaidev Amrite, Head of Product for Visual AI Advisor and DeepNLP, SparkCognition, shows how a common feature of all successful AI techniques is augmenting SME knowledge and intuition with AI which enables enterprises to focus on high-value decisions. By eschewing classical supervised modeling approaches popular in academia, these techniques focus on rapid utility by providing just-in-time intelligence at the SME’s fingertips.
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.