{"id":25665,"date":"2021-02-22T06:00:00","date_gmt":"2021-02-22T14:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=25665"},"modified":"2021-02-23T10:01:48","modified_gmt":"2021-02-23T18:01:48","slug":"digitate-announces-results-of-inaugural-autonomous-enterprise-survey-reveals-redundant-tasks-as-number-one-it-operations-challenge","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2021\/02\/22\/digitate-announces-results-of-inaugural-autonomous-enterprise-survey-reveals-redundant-tasks-as-number-one-it-operations-challenge\/","title":{"rendered":"Digitate Announces Results of Inaugural Autonomous Enterprise Survey, Reveals Redundant Tasks as Number One IT Operations Challenge"},"content":{"rendered":"\n
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Digitate<\/a>, a leading autonomous enterprise software provider, announced the results of its inaugural Autonomous Enterprise survey<\/a>. 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. Findings revealed 82% of respondents claimed the number one IT operation management challenge was having too many redundant or routine tasks. This was closely followed by 65% claiming no proactive capabilities to detect and correct system issues as the second biggest challenge, and 64% claiming a lack of flexibility to scale with business needs as the third biggest challenge. <\/p>\n\n\n\n

With most organizations rapidly transitioning away from a traditional in-house IT infrastructure to modern and agile IT systems, the volume of data being created can be overwhelming. Traditional domain-based IT management solutions can\u2019t keep up the pace of these rapid changes, leaving IT teams facing numerous challenges, such as infrastructure complexities, long delays in isolating and resolving IT faults and inconsistent and variable quality of operations. Artificial Intelligence for IT Operations (AIOps) has emerged as a cutting-edge solution for these IT operations challenges.  <\/p>\n\n\n\n

\u201cEnterprises need to quickly adapt to changing business needs. One of the key findings in this study was the need and urgency for organizations to build predictability and faster problem resolution capability with AIOps. AIOps brings the agility and reliability necessary for future growth and transformation as the overwhelming amounts of data in operations are simply beyond human analysis capacity,\u201d said Akhilesh Tripathi, CEO, Digitate. \u201cDigitate\u2019s autonomous enterprise software, ignio<\/a>\u2122, closes the loop, bringing adaptability, predictability, and simplification to IT and business operations and ensuring that the organizations maximize business benefits from their IT investments\u201d.<\/p><\/blockquote>\n\n\n\n

Gartner predicts<\/a> AI and Hyperautomation are going to be one of the key strategic trends for 2021. AIOps falls into that category and has several benefits for improving business-critical processes, including:<\/p>\n\n\n\n