Digitate Releases ignio Flamingo
October 17, 2024
Share this

Digitate announced the general availability of ignio™ Flamingo, featuring a suite of AI-driven capabilities to further the vision of an autonomous enterprise.

At the core of the Flamingo release are Digitate’s integrated unified observability offering, enhanced generative AI (GenAI)-powered AI Assist, the transformation to ticketless operations, and greater sustainability achievements. By combining real-time observability, AI-powered insights, and closed-loop automation, customers can proactively find and resolve issues across IT and business operations before they impact business resilience and user experience.

The new Flamingo release enhances observability by aggregating diverse data sources and applying artificial intelligence (AI), providing a unified, comprehensive view of the entire business and IT workflows in real-time with full-stack observability, including horizontal observability, vertical observability, and adaptative observability. Combining the unified observability approach, AI-powered insights, and closed-loop automation capabilities, enterprises can predict and resolve issues proactively, often before they impact critical operations, closing the loop from insights to action.

“Our customers continue to reimagine their IT operations by combining AI and automation as they evolve towards an autonomous enterprise,” said Rahul Kelkar, Chief Product Officer, Digitate. “By unifying observability across IT and business operations, we're helping CIOs adopt a more strategic, predictive approach. Flamingo's innovations move us towards a ticketless, self-healing IT environment, bridging the gap between business operations and IT infrastructure. This comprehensive solution empowers organizations to enhance business continuity and drive digital transformation.”

In addition, Digitate introduces a new integrated GenAI-powered agent, ignio AI Assist. Trained on Digitate’s extensive knowledge database, it’s designed to offer intelligent conversation for faster diagnosis and resolutions, propelling IT to transition towards a more technology-first approach. With advanced analytics and predictive recommendations, ignio AI Assist delivers contextual and actionable insights that significantly reduce time-to-resolution, essentially serving as an expert to optimize cost, performance, and capacity for autonomous actions.

By combining enhanced observability, AI-driven insights, automated resolution, and AI Assist, customers have the capability to move towards a fully autonomous enterprise rapidly.

Flamingo’s new capabilities enable enterprises to achieve the following:

- Transform to a “Ticketless Enterprise” – Advanced AI and machine learning, combined with powerful elimination and prediction engines, minimize the need for manual ticketing and enable proactive issue resolution. Leveraging capabilities like change impact prediction, configuration impact forecasting, and root cause remediation to achieve a true "shift left," allowing potential issues to be addressed proactively, before they manifest and generate IT tickets.

- Enhance unified observability – This new feature breaks down silos of observability to achieve real-time, deeper insights into complex IT architecture with horizontal observability, full-stack visibility with vertical observability, and data-driven decision with adaptive observability. Combined with closed-loop automation and GenAI, Flamingo provides comprehensive insights, identifies issues, and leverages machine learning to close the loop. GenAI acts as the predictive expert agent for ignio™, enabling fast issue resolution and making the enterprise truly autonomous.

- Accelerate time to value – New GenAI agents for support, product queries, insights, and code generation/conversion to streamline operations and accelerate time-to-value.

- Deliver adaptive event management – AI-based semantic search that auto-suppresses irrelevant alerts, drastically improving noise filtering. Its human-in-the-loop approach increases control and accuracy.

- Achieve sustainability goals – Addresses environmental concerns by monitoring and reporting energy consumption trends in Digital workspace services, enhancing resource utilization, and minimizing the environmental footprint of IT operations.

Share this

The Latest

December 12, 2024

In APMdigest's 2025 Predictions Series, industry experts — from analysts and consultants to the top vendors — offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 4 covers logs and Observability data ...

December 11, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers OpenTelemetry, DevOps and more ...

December 10, 2024

In APMdigest's 2025 Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers AI's impact on Observability, including AI Observability, AI-Powered Observability and AIOps ...

December 09, 2024

The Holiday Season means it is time for APMdigest's annual list of predictions, covering IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, APM, AIOps and related technologies will evolve and impact business in 2025 ...

December 05, 2024
Generative AI represents more than just a technological advancement; it's a transformative shift in how businesses operate. Companies are beginning to tap into its ability to enhance processes, innovate products and improve customer experiences. According to a new IDC InfoBrief sponsored by Endava, 60% of CEOs globally highlight deploying AI, including generative AI, as their top modernization priority to support digital business ambitions over the next two years ...
December 04, 2024

Technology leaders will invest in AI-driven customer experience (CX) strategies in the year ahead as they build more dynamic, relevant and meaningful connections with their target audiences ... As AI shifts the CX paradigm from reactive to proactive, tech leaders and their teams will embrace these five AI-driven strategies that will improve customer support and cybersecurity while providing smoother, more reliable service offerings ...

December 03, 2024

We're at a critical inflection point in the data landscape. In our recent survey of executive leaders in the data space — The State of Data Observability in 2024 — we found that while 92% of organizations now consider data reliability core to their strategy, most still struggle with fundamental visibility challenges ...

December 02, 2024

From the accelerating adoption of artificial intelligence (AI) and generative AI (GenAI) to the ongoing challenges of cost optimization and security, these IT leaders are navigating a complex and rapidly evolving landscape. Here's what you should know about the top priorities shaping the year ahead ...

November 26, 2024

In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...

November 25, 2024

In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...