Long80

Data modernization is the process of transforming data into usable, accessible, and scalable forms. Data can be used to produce insights that guide decisions to improve business performance and outcomes. Data-driven decision making is a practice where decisions are made based on data or statistics rather than intuition or guesswork. A large number of companies now rely on big data as a key part of their decision-making process. The Department of Health and Human Services (HHS) can benefit from both big data and analytics to make more informed decisions about how to serve its clients better through enhanced services, improved outcomes, and higher quality care. The data modernization transformation will have a significant impact on the way we do business and how we serve our stakeholders. The project’s objective is to provide the necessary information, tools, and resources to enable state-level health and human services agencies to modernize their data management practices. Challenges Da...

  AI for ITOps (AIOps) results in massive cost savings and improved operating efficiency due to intelligent automation, enhanced customer experience and increased availability of services. Zero Incident Framework (ZIF) for  AI in ITOps management service  use Unsupervised Pattern-based Machine Learning to filter out noise, detect anomalies, correlate events, analyze root cause. The approach towards Managed Services leads to frictionless transition with the use of our AIOps & Automation Platforms along with existing ITSM & ITOps tools, service excellence and service optimization. The key focus is to improve user experience and reduce resource utilization by at least 40% with the help of SMART tools and the ZIF Platform.  Highlights: 30% enhancement in patient care or patient satisfaction 50% reduction in overall IT operational costs 60% reduction in MTTR on reductions 40% reduction in capital expenses 20% increase in patient consultation 95% increase in the av...