Broadcom Announces New Planning, Development and Operational Intelligence Solutions Powered by Automation.ai
June 16, 2020
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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.

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