TensorFlow.
TensorFlow is a machine learning framework with a mature production ecosystem — serving, mobile and browser runtimes, and pipeline tooling. It appears most often in estates where models have been in production for several years.
Where TensorFlow fits on a long engagement.
TensorFlow work is disproportionately maintenance of things that already run. A model trained four years ago, a serving setup nobody has touched, and a version upgrade everyone has been deferring because the migration path is unclear. That is ordinary and it is where the value is.
Its deployment story remains a genuine strength. Serving at scale, running on mobile, and running in a browser are all better supported than in most alternatives, which is often why the estate is on TensorFlow and why moving off it is less attractive than it first appears.
What an assigned team does with TensorFlow.
Maintaining models somebody else trained is the normal condition of an established ML estate, and it rewards familiarity more than brilliance. A version upgrade deferred for two years is a week of work for whoever knows the estate and a month for whoever does not.
Where new feature work sits on top of the existing models, that is a different discipline again, assigned under AI engineering services on the same agreement as the operational capacity.
What we use TensorFlow for.
- Upgrading a pinned version Moving off an old release with a tested path, rather than deferring it for another year.
- Running models on device Deployment to mobile or edge where latency or privacy rules out a round trip.
- Retraining an ageing model Refreshing a model whose accuracy has drifted, with evaluation that proves the new one is better.
How TensorFlow capacity is assigned.
Production model work is assigned under MLOps engineering, because the problem is usually operational rather than statistical.
Tell us what your roadmap needs TensorFlow for.
A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.
Loading the contact form… You can also email hello@azendo.co.
We reply within one working day. No obligation, and no newsletter.