CEI- Computer Enterprises, Inc.
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07/01/2026
Another milestone for CEI!đź‘Ź
We’ve been named to the 2026 CRN Solution Provider 500 list, recognizing leading solution providers driving growth and innovation across the IT industry.
This recognition reflects the momentum we’re building as we help enterprises move beyond AI experimentation, engineering scalable solutions that deliver real, measurable business outcomes. As our CEO Sunil Senan explains, the achievement is rooted in our mission to help organizations realize value from AI faster:
"Customers around the world have struggled to realize value from AI despite all-time-high and ever-increasing AI investment and excitement. CEI’s strategy is to address the core and build the AI operating system for global companies—one that accelerates time to value. Making it to this list reflects the progress we’ve made in that direction."
Read the full story for more details: https://cei.ai/cei-named-to-the-crn-solution-provider-500-ranking-for-2026/
Proud of our team. Excited for what’s ahead.
Building the AI future today. Responsibly.
Most migration platforms automate tasks.
They don’t manage the moment that matters: cutover.
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In an Agentic Enterprise, critical transitions aren’t left to static workflows—they’re orchestrated, validated, and decisioned in real time.
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MigrateIQ acts as the control layer for migration cutover— continuously discovering dependencies, executing conversion, embedding validation, and surfacing decision-ready evidence when it matters most.
Because at cutover, it’s not about moving data.
It’s about making the right decision—with confidence.
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Discover more about MigrateIQ by clicking the link in our story.
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đź“Ť Databricks Data + AI Summit | Booth #641
Databricks CEI
Tear up the script!
QA isn’t slow because teams lack automation. It’s slow because automation still depends on humans. Every test suite still has to be written. Maintained. Fixed. Rewritten. That’s the bottleneck.
AIM-FIRE doesn’t automate testing. It removes the need for scripting entirely.
• Generates tests from user stories, code, and UI artifacts
• Executes continuously inside CI/CD
• Self-heals as applications evolve
• Surfaces edge cases humans don’t anticipate
The result isn’t incremental improvement. It’s a shift from human-driven QA → autonomous QA ex*****on. That’s how teams move from: Testing after development to Testing as a continuous, adaptive system
If your QA process still requires manual intervention at scale, you don’t have automation—you have a constraint.
See how autonomous QA actually works: https://hubs.la/Q04kYsgF0
đź“Ť Databricks Data + AI Summit | Booth #641
Click here to claim your Sponsored Listing.
