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Digitate Releases Eagle Version of Ignio

Digitate announced the general availability of its latest release to help advance greater agility and resiliency in digital enterprises.

With artificial intelligence (AI) at its core, Digitate expands its integrated SaaS-based AIOps platform with closed-loop automation, advanced observability, and a single-pane cloud management console that gives organizations a comprehensive, unified software suite to simplify their operations and increase business velocity.

The new release – Eagle – advances AI and machine learning (ML) capabilities across the entire ignio™ product line, solving key business challenges with better enterprise risk management, intelligent patching and compliance, automation of advanced SAP operations, and streamlined change management process. The Eagle release significantly enhances the overall user experience with customizable dashboards, proactive health checks, and centralized control with increased visibility for faster isolation and remediation of issues that have proven to cause enterprise-wide disruptions.

“Our core belief is that an autonomous enterprise driving agility and resiliency through intelligence and predictability is critical in delivering business outcomes and providing an unrivaled customer experience. This new release is advancing the autonomous enterprise by equipping our customers with an integrated SaaS platform that increases digital resiliency through advanced AI and analytics as well as better visibility across the tech stack,” said Akhilesh Tripathi, CEO of Digitate. “This latest release also expands our multi-cloud offerings to deliver seamless cloud operations with improved security and compliance, enabling customers to manage complex multi-cloud environments with greater consistency and resilience.”

ignio™ CloudOps brings state-of-the-art cloud operations to multi-cloud and hybrid environments, integrating and streamlining cloud management to deliver uniform vendor-agnostic monitoring, security, reporting, and remediation recommendations via a single source of truth.

Digitate’s cloud offering is both strengthened with the addition of a cloud console, a convenient interface to manage hybrid multi-cloud environments, optimize cloud costs, and the expansion across major platforms – AWS, Azure, and Google Cloud Platform (GCP).

ignio™ CloudOps provides deep understanding of the usage of all cloud resources and services. This granular visibility enables detailed reporting and proactive recommendations to optimize both cloud resources and cost, accelerating business value realization via more efficient cloud deployment. The solution also enables proactive and automated cloud life-cycle operations, minimizing service disruptions for scheduled upgrades and patching, meaning less down time and mean-time-to-resolve (MTTR), freeing up resources and assets through routine task automation.

The new release advances the autonomous enterprise, leveraging AI, ML, and automation to eliminate the need for most human intervention in technology operations. For customers, that means increased agility, resiliency, assurance, and a superior end-user experience.

The Eagle release version enables key applications, including:

- Autonomous IT risk management – Context-driven risk assessment across IT processes and intelligent automation to reduce risk and improve compliance.

- Autonomous SAP operations – Automated monitoring identifies issues and improves the health of SAP, systems, and networks, enabling rapid issue remediation before they impact businesses and optimizing supply chain operations.

Additionally, the Eagle release incorporates explainable AI to accelerate a user’s ability to understand the predictions of AI, facilitating insights that can quickly be adopted for business-critical decisions. Starting with ignio™ AI.Workload Management, Digitate’s approach draws on complex black-box algorithms to make accurate predictions, then explains these predictions with the post-hoc explanation methods.

The release also adds change management capabilities as part of proactive problem management to reduce change-induced risks for customers, enhancing agility and improving the reliability of their operations by providing impact analyses of change events.

The release of the Eagle version introduces several improvements to the ignio™ product portfolio:

- Amplified intelligence through features such as learning user behavior to suppress alerts, automatic context creation from logs, explainable intelligence, and process flow mining.

- Simplified user experience through an intuitive user interface, effectiveness reports, and remote execution of remediation actions on end-user devices.

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Digitate Releases Eagle Version of Ignio

Digitate announced the general availability of its latest release to help advance greater agility and resiliency in digital enterprises.

With artificial intelligence (AI) at its core, Digitate expands its integrated SaaS-based AIOps platform with closed-loop automation, advanced observability, and a single-pane cloud management console that gives organizations a comprehensive, unified software suite to simplify their operations and increase business velocity.

The new release – Eagle – advances AI and machine learning (ML) capabilities across the entire ignio™ product line, solving key business challenges with better enterprise risk management, intelligent patching and compliance, automation of advanced SAP operations, and streamlined change management process. The Eagle release significantly enhances the overall user experience with customizable dashboards, proactive health checks, and centralized control with increased visibility for faster isolation and remediation of issues that have proven to cause enterprise-wide disruptions.

“Our core belief is that an autonomous enterprise driving agility and resiliency through intelligence and predictability is critical in delivering business outcomes and providing an unrivaled customer experience. This new release is advancing the autonomous enterprise by equipping our customers with an integrated SaaS platform that increases digital resiliency through advanced AI and analytics as well as better visibility across the tech stack,” said Akhilesh Tripathi, CEO of Digitate. “This latest release also expands our multi-cloud offerings to deliver seamless cloud operations with improved security and compliance, enabling customers to manage complex multi-cloud environments with greater consistency and resilience.”

ignio™ CloudOps brings state-of-the-art cloud operations to multi-cloud and hybrid environments, integrating and streamlining cloud management to deliver uniform vendor-agnostic monitoring, security, reporting, and remediation recommendations via a single source of truth.

Digitate’s cloud offering is both strengthened with the addition of a cloud console, a convenient interface to manage hybrid multi-cloud environments, optimize cloud costs, and the expansion across major platforms – AWS, Azure, and Google Cloud Platform (GCP).

ignio™ CloudOps provides deep understanding of the usage of all cloud resources and services. This granular visibility enables detailed reporting and proactive recommendations to optimize both cloud resources and cost, accelerating business value realization via more efficient cloud deployment. The solution also enables proactive and automated cloud life-cycle operations, minimizing service disruptions for scheduled upgrades and patching, meaning less down time and mean-time-to-resolve (MTTR), freeing up resources and assets through routine task automation.

The new release advances the autonomous enterprise, leveraging AI, ML, and automation to eliminate the need for most human intervention in technology operations. For customers, that means increased agility, resiliency, assurance, and a superior end-user experience.

The Eagle release version enables key applications, including:

- Autonomous IT risk management – Context-driven risk assessment across IT processes and intelligent automation to reduce risk and improve compliance.

- Autonomous SAP operations – Automated monitoring identifies issues and improves the health of SAP, systems, and networks, enabling rapid issue remediation before they impact businesses and optimizing supply chain operations.

Additionally, the Eagle release incorporates explainable AI to accelerate a user’s ability to understand the predictions of AI, facilitating insights that can quickly be adopted for business-critical decisions. Starting with ignio™ AI.Workload Management, Digitate’s approach draws on complex black-box algorithms to make accurate predictions, then explains these predictions with the post-hoc explanation methods.

The release also adds change management capabilities as part of proactive problem management to reduce change-induced risks for customers, enhancing agility and improving the reliability of their operations by providing impact analyses of change events.

The release of the Eagle version introduces several improvements to the ignio™ product portfolio:

- Amplified intelligence through features such as learning user behavior to suppress alerts, automatic context creation from logs, explainable intelligence, and process flow mining.

- Simplified user experience through an intuitive user interface, effectiveness reports, and remote execution of remediation actions on end-user devices.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...