Vertex AI - It's more likely than not that you see what you need there
March 24, 2024

Vertex AI - It's more likely than not that you see what you need there

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Vertex AI

As an organization, we want to be at the forefront when it comes to adopting AI technologies. Be it to enhance operational efficiency of our own internal employees, or to streamlining customer experience, we know that we need to be AI-powered in order stay competitive.

That's where Vertex AI comes in. GCP's generous onboarding terms let us try out many solutions, build our PoCs, gauging adoption before committing to a solution.
  • Vertex AI comes with support for LOTs of LLMs out of the box
  • MLOps tools are available that help to standardize operational aspects
  • Document AI is an out of the box feature that works just perfectly for our use cases of automating lots to tedious data extraction tasks from images as well as papers
  • I do wish that Vertex AI has something like an index of technical terms, so people can learn to use it faster instead of seeing 1 new & strange term at a time
  • As an organization, we have our extensive practices with DevOps, together with the familiar tools & pipelines, Vertex AI's having its own set of tools doesn't help with making the learning & integrating curves less steep
  • Similar to lots of other AI offerings, Vertex AI docs tend to have lots of buzzwords yet few technical details, making it seems like reading ads instead of technical docs
  • Generous onboarding terms make it very cost-effective to try out
  • Ready-out-of-the-box solutions drastically reduce development efforts
  • MLOps tools are built-in that help to reduce manual repetitive effort
Let's say that Azure OpenAI Service offers you exactly what you look for in simple-to-understand terms: your own private instance of OpenAI API backend.

It's quite hard to compare the two, as one is quite specific in what it offers, while the other is on the general side.

So basically, it comes down to whether you're just looking to try out to see what fit you or what you need vs looking for a specific solution that you already decided on.

Do you think Vertex AI delivers good value for the price?

Yes

Are you happy with Vertex AI's feature set?

Yes

Did Vertex AI live up to sales and marketing promises?

Yes

Did implementation of Vertex AI go as expected?

Yes

Would you buy Vertex AI again?

Yes

Vertex AI's generous onboarding terms make it an attractive solution to people or organizations that are considering adopting AI technologies.

It's various ready-out-of-the-box solutions are also helpful, it some of them solve exactly what you need at the moment.

Full support for MLOps, with extensive documentation laying out the theoretical side, is also helpful for someone looking for a start.

Yet the heavy reliance on proprietary technologies, especially regarding operational aspect, makes it quite awkward to integrate with your existing tech infra, if you have one.