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SymphonyAI Launches Summit Apex

SymphonyAI announced Summit Apex, a new predictive and generative AI-based IT service management/enterprise service management (ITSM/ESM) platform to turbocharge productivity, simplify work, and create delightful experiences for end users, IT teams, and executives.

The new SymphonyAI Summit Apex platform delivers responsive, effective, and efficient ITSM/ESM capabilities with a lightweight architecture to roll out new services and resolve service requests up to 50% faster using generative AI.

New SymphonyAI Summit Apex applications can be deployed and taken live within weeks. IT teams can move quickly to deliver high-performance, cost-effective capabilities that delight users and transform team operations. The four applications include service management, asset management, service automation, and a generative AI-based digital agent for instant information and recommendations. The intuitive low-code/no-code Design Studio and workflow automation capabilities give IT teams the power to respond to users quickly and efficiently and automate workflows throughout the enterprise.

Coupled with generative AI-based copilots, the new SymphonyAI Summit Apex platform provides IT teams the tools to seamlessly deal with complex environments and heightened user demands while addressing the urgent priority to control costs. The overall result is an improved ROI on tools and technology, leapfrogs in productivity, and more satisfied employees enterprise-wide.

“SymphonyAI’s extensive track record and AI leadership are the foundation of this industry-leading generative and predictive AI platform, resulting in major improvements for IT teams rolling out new services and capabilities and seamless self-service for end users,” said Satyen Vyas, CEO of SymphonyAI Summit. “The time is right for organizations to embrace easy-to-use, intuitive, speedy, cost-effective IT and enterprise service management and workflow automation using the most current, innovative AI technology. We are thrilled to bring this powerful new Apex platform to market which, along with the impending launch of generative AI-based copilots, will dramatically transform IT with vastly improved productivity, ROI, and user satisfaction.”

The SymphonyAI Summit Apex platform includes four modules that can be used independently or together. This offers seamless interoperability for comprehensive capabilities while enabling organizations to adopt technology at their own pace according to their specific needs and priorities. The new solution delivers significant enhancements for each module:

- Service management. With a completely new sophisticated architecture, the service management module has a lightweight footprint, enabling faster overall performance and robust fault tolerance for extremely high reliability. The Design Studio’s simple drag-and-drop controls allow instant customization and rapid rollout of new services with preconfigured workflows in an elegant no-code/low-code interface. The configurable module lets users create multiple service-level agreement (SLA) policies as needed for different departments, locations, and groups.

- Asset management. Users can now add new assets in bulk with a simplified form, significantly speeding up new asset intake. As with the service management module, asset management is faster, easier to customize, and more reliable.

- Service automation. The new automation scheduler enables users to automatically schedule recurring jobs for infrastructure and applications, reusing automation workflows across multiple schedules to eliminate manual tasks and free up agents to focus on more strategic priorities. New user onboarding can be triggered from third-party applications in the enterprise to initiate both IT- and non-IT-related activities, speeding up and simplifying new user onboarding experiences. Real-time execution tracking enables end-to-end progress monitoring of tickets and flows.

- The digital agent. The agent uses sophisticated generative AI technologies to understand the intent of an incident, service request, or query. It provides real-time personalized recommendations so users can self-service quickly and easily on their device/interface of choice. End users are supported with dynamic chat, FAQs, and AI-based recommendations.

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SymphonyAI Launches Summit Apex

SymphonyAI announced Summit Apex, a new predictive and generative AI-based IT service management/enterprise service management (ITSM/ESM) platform to turbocharge productivity, simplify work, and create delightful experiences for end users, IT teams, and executives.

The new SymphonyAI Summit Apex platform delivers responsive, effective, and efficient ITSM/ESM capabilities with a lightweight architecture to roll out new services and resolve service requests up to 50% faster using generative AI.

New SymphonyAI Summit Apex applications can be deployed and taken live within weeks. IT teams can move quickly to deliver high-performance, cost-effective capabilities that delight users and transform team operations. The four applications include service management, asset management, service automation, and a generative AI-based digital agent for instant information and recommendations. The intuitive low-code/no-code Design Studio and workflow automation capabilities give IT teams the power to respond to users quickly and efficiently and automate workflows throughout the enterprise.

Coupled with generative AI-based copilots, the new SymphonyAI Summit Apex platform provides IT teams the tools to seamlessly deal with complex environments and heightened user demands while addressing the urgent priority to control costs. The overall result is an improved ROI on tools and technology, leapfrogs in productivity, and more satisfied employees enterprise-wide.

“SymphonyAI’s extensive track record and AI leadership are the foundation of this industry-leading generative and predictive AI platform, resulting in major improvements for IT teams rolling out new services and capabilities and seamless self-service for end users,” said Satyen Vyas, CEO of SymphonyAI Summit. “The time is right for organizations to embrace easy-to-use, intuitive, speedy, cost-effective IT and enterprise service management and workflow automation using the most current, innovative AI technology. We are thrilled to bring this powerful new Apex platform to market which, along with the impending launch of generative AI-based copilots, will dramatically transform IT with vastly improved productivity, ROI, and user satisfaction.”

The SymphonyAI Summit Apex platform includes four modules that can be used independently or together. This offers seamless interoperability for comprehensive capabilities while enabling organizations to adopt technology at their own pace according to their specific needs and priorities. The new solution delivers significant enhancements for each module:

- Service management. With a completely new sophisticated architecture, the service management module has a lightweight footprint, enabling faster overall performance and robust fault tolerance for extremely high reliability. The Design Studio’s simple drag-and-drop controls allow instant customization and rapid rollout of new services with preconfigured workflows in an elegant no-code/low-code interface. The configurable module lets users create multiple service-level agreement (SLA) policies as needed for different departments, locations, and groups.

- Asset management. Users can now add new assets in bulk with a simplified form, significantly speeding up new asset intake. As with the service management module, asset management is faster, easier to customize, and more reliable.

- Service automation. The new automation scheduler enables users to automatically schedule recurring jobs for infrastructure and applications, reusing automation workflows across multiple schedules to eliminate manual tasks and free up agents to focus on more strategic priorities. New user onboarding can be triggered from third-party applications in the enterprise to initiate both IT- and non-IT-related activities, speeding up and simplifying new user onboarding experiences. Real-time execution tracking enables end-to-end progress monitoring of tickets and flows.

- The digital agent. The agent uses sophisticated generative AI technologies to understand the intent of an incident, service request, or query. It provides real-time personalized recommendations so users can self-service quickly and easily on their device/interface of choice. End users are supported with dynamic chat, FAQs, and AI-based recommendations.

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In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

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 ...