AI Strategy Workshop
Works with stakeholders to map high-value AI use cases to business priorities and an adoption roadmap.
Ask about this →Helps enterprises accelerate digital transformation with cloud-native data, analytics, and AI solutions.
Transforms enterprise data and AI initiatives into reliable, faster-release systems; resolved two years of recurring outages in 30 days during a healthcare scheduling modernization.
Services
Works with stakeholders to map high-value AI use cases to business priorities and an adoption roadmap.
Ask about this →Implements production AI components and integrates them into existing systems to raise throughput and release velocity.
Ask about this →Deploys Azure Databricks solutions to consolidate data stacks and drive platform cost savings with certified engineers.
Ask about this →Delivers a focused 90-day validation of platform value with measurable performance and throughput improvements.
Ask about this →Builds unified data foundations on enterprise platforms to enable analytics, control, and operational clarity.
Ask about this →Assesses the current data landscape and defines a roadmap to reduce stack complexity and platform costs.
Ask about this →Designs and deploys autonomous agent architectures for real-time analytics and IIoT event localization.
Ask about this →Fit
Messaging throughput increased 10x under load tests and overall performance improved by 62%.
Case study on deviq.io ↗Resolved two years of recurring outages in 30 days.
Case study on deviq.io ↗Modernizing Healthcare Scheduling for Scale and Reliability
Reduced API response and page load times by 60%.
Case study on deviq.io ↗Modernizing Healthcare Scheduling for Scale and Reliability
Annual feature releases rose from 22 in 2023 to 76 in 2024, a 3.5x increase.
Case study on deviq.io ↗O’Neal Steel
Reduced the number of data stacks by 50%.
Case study on deviq.io ↗Achieved 100% migration accuracy during the legacy-to-cloud migration.
Case study on deviq.io ↗Practical modernization that produces measurable operational and cost outcomes. DevIQ is engaged to convert legacy systems into scalable platforms and speed release cadence; proof includes O'Neal Steel's Azure Databricks modernization with 50% fewer data stacks and 38% platform spend savings and AWS Advanced Tier Partner certification.
All sources checked 15 Oct 2026.
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