Digital.ai Intelligence Applications AI-Powered Analytics Solutions incorporate AI/ML technologies to provide prescriptive and predictive insights into Agile and DevOps operations. The objective of these solutions is to delve deeper and wider into the data available, perform extensive analysis using state of the art advanced analytics techniques, and provide insights that can result in tangible business outcomes.
The AIOps offerings are pre-packaged solutions solely focused on providing insights catering to specific use cases, such as Risk Prediction, Service Optimization, and DevOps Performance Management.
The following AIOps solutions are currently offered as part of Digital.ai Intelligence Applications:
The Flow Acceleration solution helps organizations in end-to-end tracking and acceleration of their digital value streams. The insights help you understand and analyze the most critical aspects of your DevOps workflow. Users gain valuable insights into release readiness, early detection of bottlenecks, analyze and reduce non-value-added work, improve predictability, and increase automation and deployment frequency. The solution also enables you to analyze your release readiness by predicting lead time.
The Quality Improvement solution helps organizations improve the quality throughput across their digital value streams. You can derive valuable insights into preventing defect leakage through early detection of defects, benchmark code quality effectiveness and adopt best practices such as test and build automation, and raise product quality by prioritizing quality improvement initiatives.
The Change Risk Prediction solution helps you identify risky changes and proactively take steps to manage and reduce risk or prepare immediate remediation. The solution enables you to analyze the overall impact of change in applications and businesses, its past and persistent trends in the number of incidents, problems, outages, the overall credit and debit scores for the implemented changes, and the availability of applications. The built-in AI/ML models help in reducing change failures and associated incident mean time to resolution (MTTR).
The Service Management Process Optimization solution helps organizations go beyond in-app reporting and adopt proven analytics-driven best practices for improved incident, problem, and IT service request management. The solution enables you to get more holistic, predictive, and actionable insights into your IT environments, anticipate future risks in services, mitigate risks of major incidents, and implement improvements to people, process, and technology.
You can also review the trends and leverage automation opportunities, perform root cause analysis and reduce mean time to resolution (MTTR) to accelerate service delivery, and to improve continuous service optimization.
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Introduction to Intelligence Applications
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