The Everbridge Summer 2016 Release, the latest release of its critical communications platform and suite of enterprise applications, features mobility, collaboration, reporting, mapping and workflow automation enhancements to help improve the way that corporations and government agencies communicate accurate and relevant information to the right audiences, on a wide variety of devices, during all types of incidents.
“The seasonal release of our platform and application enhancements demonstrate our commitment to helping Everbridge customers meet their evolving communication needs around personal safety, business performance and compliance,” said Imad Mouline, CTO of Everbridge. “The new release improves the speed, reliability, automation and predictability of critical communications in responding to increasingly severe, complex and frequent global threats and business incidents, ranging from active shooter situations to IT outages and cyberattacks.”
Summer Release enhancements include:
Better Workflow Automation for IT Operations and Incident Response Teams
Incident response teams typically have detailed communication and escalation plans and strategies that can be deployed in order to triage issues quickly and effectively.
New functionality in the Summer Release supports the ability for Everbridge Incident Management and IT Alerting users to notify multiple audiences with distinct, relevant messages in an automated and streamlined fashion, and includes:
- A new Scenario Manager feature within Everbridge Incident Management which provides the ability to launch multiple incident templates simultaneously. Users can launch one incident to trigger distinct notifications and instructions to audiences that need to triage the issue and stay informed (e.g. employees and customers) and those that require real-time status updates (e.g. executives).
- Improved On-Call Scheduling views (Day View or Staff Schedule View) enables users to quickly identify the on-call roster, in addition to their preferred contact paths.
- New Schedule import feature enables customers to import iCal formatted calendars (e.g. Outlook, Google and Lotus Notes).
True Community Engagement for Events and Emergencies
The proliferation of mobile devices, social media channels and other communication options has challenged communities to find effective ways to reach residents beyond traditional landlines. To improve opt-in campaigns, Everbridge Community Engagement offers a variety of means for individuals to engage with public safety officials and notification programs, including event-based keyword opt-in and social media capabilities.
The Summer Release provides new Community Engagement application capabilities, including:
- Community Engagement Dashboard so users can quickly gauge the effectiveness of their opt-in campaigns.
- Engagement Quick Reports to easily visualize the opt-in statistics for both Community and Event Group subscribers.
Improved Accuracy and Relevancy
Through usability and performance improvements, the Everbridge critical communications platform is on track to support the delivery of over 1.5 billion messages in 2016. Everbridge customers are now sending a notification every three seconds on average, and the platform currently supports over 100 million total contacts.
As a result of continued efforts to improve user and contact experiences, the Summer Release includes:
- Improved Map Performance allows users to quickly view contacts, buildings and other assets from a global level, down to street level.
- New Member Portal Site Languages lets users select a language from a list of 15 options to localize their Member Portal experience.
- New API Notification Reports and Incident Scenarios allow Everbridge to integrate with other internal systems.
Additional Summer Release capabilities focus on making it easier for companies and institutions to deploy Everbridge’s Secure Messaging applications, HipaaBridge and SecureBridge. Enhancements include Single Sign-On (SSO), quick registration options and the ability for organizations to limit staff communications to only their own internal organization on a private network.
The Latest
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.