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Enterprises are rapidly scaling their Data, Analytics, and AI (DAAI) initiatives, and talent readiness has become a decisive factor for success. Building teams that are future-ready, deeply skilled, and aligned to advanced AI and data engineering demands is now essential for driving transformation at speed and scale.

Reflecting this growing priority, we’re proud to share that Orion Innovation has been recognized as a “Major Contender” in Everest Group’s Talent Readiness for Next Generation Data, Analytics, and AI Services PEAK Matrix® Assessment 2025.

What This Recognition Means

Everest Group’s assessment evaluates leading global service providers on their ability to attract, develop, and deploy talent aligned to next-gen DAAI needs—covering areas such as:

  • Data engineering and modern data platforms
  • Advanced analytics and BI
  • AI/ML and GenAI capabilities
  • MLOps, AIOps, and cloud-native data architectures
  • Responsible AI and governance frameworks

Orion’s placement as a Major Contender highlights our strong commitment to building a future-ready DAAI workforce that consistently delivers measurable value and accelerates enterprise innovation.

More information about the report is available on the Everest Group website

Our Approach to Data, Analytics, and AI Talent Excellence

Our DAAI talent strategy brings together rigorous learning pathways, specialized capability development, and integrated team structures that translate expertise into business outcomes.

Key elements include:

  • Continuous learning mandate, with 100+ hours of annual upskilling supported by platforms like LinkedIn Learning, Udemy, and Pluralsight.
  • Advanced certification programs across cloud data platforms, ML engineering, and GenAI frameworks.
  • Hands-on skills validation through tools such as iMocha and our in-house assessments on Classmate.
  • Capability incubation through Centers of Innovation[fV1] , covering data engineering, AI/ML, GenAI, analytics, and visualization.
  • Structured talent funnels including campus programs, lateral hiring, and leadership development tracks.
  • Cross-functional “DAAI Specialist Pods” bringing together data engineers, AI/ML scientists, cloud architects, and domain experts to deliver client-specific outcomes.

This structured approach ensures our teams are consistently equipped to meet evolving enterprise demands while staying at the forefront of next-generation DAAI innovation.

Supporting Your Next Steps

Being named a Major Contender reinforces our commitment to helping clients scale Data, Analytics, and AI initiatives with the right talent, proven delivery models, and innovation-led approaches.

To understand how we help enterprises unlock value across the DAAI lifecycle—strategy, engineering, AI/ML, and operations—explore our Data & AI offerings.

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