DUBLIN, November 26, 2021–(BUSINESS WIRE)–The “Machine Learning: The New Driving Force for DevOps” report has been added to ResearchAndMarkets.com’s offering.When they work together, software development and operations teams can advance a company’s business transformation. The integration of these teams, also known as DevOps, streamlines the legacy software development process.However, with the growing emphasis on digital transformation, the pace of development and innovation has increased. Therefore, the need for optimal orchestration in DevOps is rising, which requires innovation and advanced tools and technologies.Typically, companies face significant challenges when running and managing DevOps teams. It involves large volumes of continuous data flow, which leads to complexities and inefficient data management. The manual effort to absorb and channel DevOps teams’ data and information becomes incompetent in a dynamic application environment.Another challenge for developers in today’s rapidly evolving digital era is the inability to quickly build and deliver applications to meet customers’ needs. To address these challenges, ML/artificial intelligence (AI) is emerging as a promising technology to transform and optimize DevOps processes.The analyst has assessed the impact of ML on DevOps; this research service covers the following topics:An Introduction to Machine Learning in DevOpsA Technology Market OverviewThe Transformation of DevOps with Machine LearningThe Intellectual property (IP) LandscapeThe Key Market ParticipantsGrowth OpportunitiesKey Topics Covered:1.0 Strategic Imperatives1.1 Factors creating Pressure on Growth in Machine Learning: The New Driving Force for DevOps1.2 The Strategic Imperative1.3 The Impact of the Top Three Strategic Imperatives on Machine Learning: The New Driving Force for DevOps1.4 About The Growth Pipeline Engine1.5 Growth Opportunities Fuel the Growth Pipeline EngineStory continues2.0 Growth Environment2.1 Research Scope2.2 Research Methodology2.3 Research Methodology Explained3.0 Technology Overview of DevOps and Machine Learning3.1 Introduction to DevOps3.2 The Integration of Machine Learning into DevOps Practices3.3 Machine Learning Advantages over DevOps Data Analysis4.0 Transformation of DevOps Workflows with Machine Learning4.1 How Machine Learning is Optimizing DevOps Workflows4.2 Machine Learning Model Training to Optimize DevOps4.3 Impact of Machine Learning on DevOps4.4 Key Benefits Offered by Machine Learning in DevOps5.0 Technology Innovation and Use-Cases5.1 High Scalability and Rapid Training of ML Models5.2 Enhancement of Integration and Security Capabilities6.0 DevOps Market Overview6.1 DevOps Market Forecast and Regional Insight6.2 Growth Drivers6.3 Growth Restraints7.0 Companies to Action7.1 Databricks, US: Databricks Lakehouse Platform7.2 Alteryx, US: Analytics Process Automation Platform7.3 Snyk, UK: Developer Security Platform7.4 Algorithmia, US: Cloud-agnostic AI Automation Platform7.5 JFrog, US: End-to-End DevOps Acceleration8.0 Patent Analysis8.1 Patent Landscape – Machine Learning/AI-enabled DevOps8.2 IBM and Microsoft are Leading Patent Activities across the World.9.0 Growth Opportunities9.1 Growth Opportunity 1: Machine Learning-based DevOps is Driving Value Streams across Scaled Agile Framework (SAFe)9.2 Growth Opportunity 2: Machine Learning is Enhancing Privacy and Data Governance for Complex DevOps Workflows9.3 Growth Opportunity 3: AI-powered ChatOps is Improving DevOps Communication and Collaboration10.0 Key ContactsFor more information about this report visit https://www.researchandmarkets.com/r/lj998nView source version on businesswire.com: https://www.businesswire.com/news/home/20211126005499/en/ContactsResearchAndMarkets.comLaura Wood, Senior Press [email protected] For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900
Source: https://finance.yahoo.com/news/global-machine-learning-markets-report-150400180.html
