Skip to main content

Digitate Adds New Generative AI Capabilities to ignio

Digitate launched new generative AI capabilities, empowering organizations to accelerate their automation agenda with a context-aware knowledge accelerator and maximize user experience using an integrated AI-powered assistant.

ignio™ - Digitate's flagship AIOps product – combines AI and automation to propel enterprises toward autonomous operations. By leveraging large language models (LLMs) to extract information from various sources, it creates a comprehensive enterprise context, gaining a deep understanding of each organization's unique environment, challenges, and objectives. This context-aware approach allows ignio™ to optimize automation through situation and technology-specific actions, delivering tailored and efficient solutions that fuel enterprise agility, resiliency, and innovation.

"At Digitate, our mission is to empower enterprises with state-of-the-art technologies to help them deliver on their business commitments. With the introduction of the Knowledge Accelerator and AI Assist, we are proud to lead the industry toward a new era of autonomous operations and exceptional user experiences,” said Akhilesh Tripathi, CEO of Digitate. “These cutting-edge features powered by Generative AI exemplify our commitment to driving innovation and value for our customers."

ignio™ has been using Natural Language Processing and Text Mining tools for context and knowledge creation from structured and unstructured data sources. Using the power of generative AI, ignio™ can now boost the Knowledge Accelerator to capture enterprise context, technology models, and generate last-mile automation such as resource provisioning, service configurations, and patch management. This allows ignio™ to easily adapt to technological changes and accelerate the automation of lifecycle-specific service operations on-the-fly. By offering bespoke, context-aware technologies, ignio™ ensures that each organization benefits from optimal performance and efficiency. The Knowledge Accelerator marks a new era in automation knowledge generation, enabling enterprises to achieve unmatched operational excellence on their autonomous journey.

Digitate has been delivering enhanced user experience with explainable intelligence, customized reporting, and notifications, among others. Now, Digitate is taking user experience to the next level with its new AI Assist, an intelligent conversation engine designed to offer plain language explanations of diagnosis and resolutions, as well as insights for continuous improvements generated by ignio™. The AI Assist embodies a seamless human-machine interaction paradigm, leveraging generative AI’s ability to understand language, capture context, and learn from feedback. As a result, it presents analytics insights in a much simpler and intuitive way, leading to faster incident resolutions and proactive problem management.

Through the AI Assist, ignio™ becomes an ally to users, guiding them through intricate processes, helping them sift through countless analytics insights and make data-driven decisions with confidence and ease. The AI Assist marks a significant leap forward in collaboration between humans and AI, enhancing productivity and streamlining operations for enterprises.

The Latest

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul

Digitate Adds New Generative AI Capabilities to ignio

Digitate launched new generative AI capabilities, empowering organizations to accelerate their automation agenda with a context-aware knowledge accelerator and maximize user experience using an integrated AI-powered assistant.

ignio™ - Digitate's flagship AIOps product – combines AI and automation to propel enterprises toward autonomous operations. By leveraging large language models (LLMs) to extract information from various sources, it creates a comprehensive enterprise context, gaining a deep understanding of each organization's unique environment, challenges, and objectives. This context-aware approach allows ignio™ to optimize automation through situation and technology-specific actions, delivering tailored and efficient solutions that fuel enterprise agility, resiliency, and innovation.

"At Digitate, our mission is to empower enterprises with state-of-the-art technologies to help them deliver on their business commitments. With the introduction of the Knowledge Accelerator and AI Assist, we are proud to lead the industry toward a new era of autonomous operations and exceptional user experiences,” said Akhilesh Tripathi, CEO of Digitate. “These cutting-edge features powered by Generative AI exemplify our commitment to driving innovation and value for our customers."

ignio™ has been using Natural Language Processing and Text Mining tools for context and knowledge creation from structured and unstructured data sources. Using the power of generative AI, ignio™ can now boost the Knowledge Accelerator to capture enterprise context, technology models, and generate last-mile automation such as resource provisioning, service configurations, and patch management. This allows ignio™ to easily adapt to technological changes and accelerate the automation of lifecycle-specific service operations on-the-fly. By offering bespoke, context-aware technologies, ignio™ ensures that each organization benefits from optimal performance and efficiency. The Knowledge Accelerator marks a new era in automation knowledge generation, enabling enterprises to achieve unmatched operational excellence on their autonomous journey.

Digitate has been delivering enhanced user experience with explainable intelligence, customized reporting, and notifications, among others. Now, Digitate is taking user experience to the next level with its new AI Assist, an intelligent conversation engine designed to offer plain language explanations of diagnosis and resolutions, as well as insights for continuous improvements generated by ignio™. The AI Assist embodies a seamless human-machine interaction paradigm, leveraging generative AI’s ability to understand language, capture context, and learn from feedback. As a result, it presents analytics insights in a much simpler and intuitive way, leading to faster incident resolutions and proactive problem management.

Through the AI Assist, ignio™ becomes an ally to users, guiding them through intricate processes, helping them sift through countless analytics insights and make data-driven decisions with confidence and ease. The AI Assist marks a significant leap forward in collaboration between humans and AI, enhancing productivity and streamlining operations for enterprises.

The Latest

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul