CIO Influence
CIO Influence News IT and DevOps Machine Learning

NexusTek Brings Forward Deployed Engineering to the Mid-Market

NexusTek Brings Forward Deployed Engineering to the Mid-Market

logo

New AI Pilot to Production program pairs embedded engineers with AI governance and managed operations to successfully move mid-market AI from pilots into production.

NexusTek, a leading provider of secure, scalable IT solutions, today launched AI Pilot to Production, a program within its Data and AI practice that brings forward deployed engineering to mid-market organizations.

AI Pilot to Production addresses a common problem for mid-market organizations: they have bought AI licenses and run promising pilots, but few of those pilots successfully reach production or generate measurable impacts. Getting there requires a roadmap tied to business value, integration engineering, specialized AI talent, governance, and clear ownership after launch. For mid-market organizations requiring help, large system integrators are over-priced and advisory firms typically lack engineering resources to implement their plans.

โ€œMost mid-market companies have already invested in AI. What they struggle with is getting it into production and keeping it there,โ€ said Hamilton Yu, CEO of NexusTek. โ€œThe largest enterprises solve that by putting engineers inside the business until the work is done. Mid-market companies deserve the same model, at a scale and price that fits them.โ€

Also Read:ย CIO Influence Interview with John Elliott, Cybersecurity Author Fellow at Pluralsight

Instead of advising from outside or billing hours against an engagement, NexusTek forward deployed engineers work inside the customerโ€™s environment with their teams and own the outcome until AI is running in production. The NexusTek model, mirrored after how large enterprises successfully implement AI, operates through Advise, Build, and Run phases all delivered by one team from first assessment through ongoing operations.

โ€œOur forward deployed engineers donโ€™t hand over a plan and leave. They are connected to the people who set the roadmap and the team that runs it afterward, so AI keeps delivering after launch instead of quietly stalling,โ€ Yu continued.

Catch more CIO Insights:ย How Are CIOs Aligning Technology with Workforce Agility?

[To share your insights with us, please write toย psen@itechseries.com ]

Related posts

2024 Network Security Report: 47 Percent SD-WAN Increase, 25 Percent SASE Uptick, Shift to Multi-Cloud

GlobeNewswire

New Study Reveals Biggest Trends and Priorities in Architecting Workloads on Kubernetes