“At Intuit, we have grown and thrived for over thirty years by constantly transforming and re-inventing ourselves. “The enterprise machine data fabric is the foundation for managing and deriving insights from that data at scale – and only Splunk provides the end-to-end analytics platform and ecosystem to support it.” Machine learning enables organizations to get deeper insights from their machine data and ultimately increases the opportunity our customers can gain from digital transformation,” said Doug Merritt, President and CEO, Splunk. The big secret is that all of the change is underpinned by machine data. “Digital transformation has changed the way that organizations work. Business Optimization: Forecast demand, manage inventory and react to changing conditions through analysis of historical data and models.Predictive Actions: Anticipate and react to circumstances such as proactive maintenance that might otherwise disrupt operations or revenue.Intelligent Alerting: Reduce alert fatigue by identifying normal patterns for specific sets of circumstances.Focused Investigation: Identify and resolve IT and security incidents by automatically detecting anomalies and patterns in data.Machine learning is being integrated as a core capability of the Splunk portfolio with packaged or custom algorithms to operationalize machine data in a variety of valuable use cases such as: Machine learning is bringing big data analytics into a new era, and Splunk is enabling companies to use predictive analytics to help optimize IT, security and business operations. Available on-premises or in the cloud, the newest versions of Splunk solutions leverage machine learning to make it faster and easier to maximize the value machine data can deliver to organizations. 27 - Splunk Inc. (NASDAQ: SPLK), provider of the leading software platform for real-time Operational Intelligence, today announced new versions of Splunk Enterprise, Splunk IT Service Intelligence (ITSI), Splunk Enterprise Security (ES) and Splunk User Behavior Analytics (UBA). Along with infrastructure metrics, synthetics testing, and APM tracing data, this glass table provides a high-level view of cloud and web property health.SAN FRANCISCO, Calif. This includes KPI Threshold values for visualizing the health of Real User experiences at a glance. The Executive Glass Table provides insights from Real User Monitoring data streaming out of Splunk Observability Cloud. This information can dramatically improve MTTI, MTTD and MTTR by simplifying the process of finding and resolving the root cause of an issue. This answers the questions of what is going on and why it’s happening, as well as provides a contextual deep-link to the source system in Splunk Observability Cloud. In a single view, you get a quick and real-time update across your landscape and single-click access to additional details. The Executive Glass Table delivers rolled-up insights across 4 major observability areas: Synthetic Monitoring, Infrastructure Monitoring, Splunk Real User Monitoring, and Application Performance Monitoring. For Splunk or ITSI experts, these services/service templates, KPIs, KPI base searches, and entities can be leveraged as templates for enriching the business logic that already exists in Splunk and ITSI with Splunk Observability metrics. ![]() These features, combined with additional navigation suggestions for quickly moving from Splunk ITSI to Splunk Observability Cloud, provide useful views for IT Operations, Business & IT Executives, DevOps, and Software Engineers. 12 RUM-specific KPIs (including easy-to-change thresholds).3 services for RUM, RUM Mobile, and RUM Synthetics. ![]()
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