Automation.ai powers new planning, development and operational intelligence in Broadcom’s ValueOps, DevOps and AIOps solutions helping organizations optimize flow of value, improve site reliability and release code with confidence.
Collectively these ground-breaking solutions enable a new decision making framework called BizOps that aligns technology outputs to business outcomes.
“Facing today’s rapidly changing digital transformation requirements, our customers need to improve the speed, accuracy and efficiency with which they generate feedback from real world operating models,” said Serge Lucio, VP and GM, Enterprise Software Division, Broadcom. “New intelligence capabilities in Automation.ai are revolutionizing the way customers correlate vast amounts of data and generate actionable insights to speed informed decision making by providing the continuous feedback loop needed for digital business success in 2021 and beyond.”
- ValueOps from Broadcom delivers new capabilities that enable companies to optimize flow of value by aligning planned investments to scheduled development work and track deliverables from planning through execution, enabling improved development cycle times, reduced bottlenecks, and faster time to value. New insights powered by Automation.ai enable stakeholders to understand how project timelines and budget are trending based on engineering work in-progress.
- DevOps from Broadcom offers new capabilities that empower agile teams to track development progress and deploy releases confidently with assurance of feature completeness, high-quality, and reduced risk. Key stakeholders have a single view of key insights into release progress, health, quality, and defect trends; metrics that drive focus, gauge readiness, and help to ensure successful, quality releases.
- AIOps from Broadcom includes new site reliability analytics and automation capabilities that provides insights into release deployment events and associated build metrics within the context of overall health and KPIs of business services, ensuring that delivering value to customers faster does not come at the expense of production operational stability. By enhancing AIOps monitoring and correlation with intelligent recommendations and auto-remediation capabilities, companies create more resilient production environments, streamlining their site reliability engineering initiatives.
The Latest
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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 ...
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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 ...