Vertex AI
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Vertex AI
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4.3 out of 5 stars
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Vertex AI Reviews & Product Details - Page 45

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Vertex AI Overview

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What is Vertex AI?

Build, deploy, and scale machine learning (ML) models faster, with fully managed ML tools for any use case. Through Vertex AI Workbench, Vertex AI is natively integrated with BigQuery, Dataproc, and Spark. You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI Workbench and run your models from there. Use Vertex Data Labeling to generate highly accurate labels for your data collection.

Vertex AI Details
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Product Description

Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.

How do you position yourself against your competitors?

Vertex AI is a unified platform that provides a wide range of tools and services to help you build, train, and deploy machine learning models faster and easier. It is a managed platform that takes care of the underlying infrastructure, so you can focus on building and training your models. It is also a scalable platform that can easily scale up or down your ML workloads as needed.

Seller Details
Seller
Google
Company Website
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
32,610,195 Twitter followers
LinkedIn® Page
www.linkedin.com
301,875 employees on LinkedIn®
Ownership
NASDAQ:GOOG
Phone
+1 (650) 253-0000
Total Revenue (USD mm)
$182,527
Description

Organize the world’s information and make it universally accessible and useful.

RJ
Overview Provided by:
Ryan Jarouche

Recent Vertex AI Reviews

Cendrol D.
CD
Cendrol D.Mid-Market (51-1000 emp.)
5.0 out of 5
"Scalable and Efficient ML Platform"
Like Vertex AI offers more than AI agent and all and providing Ml part in one platform only so easy also
Read more
PS G.
PG
PS G.Small-Business (50 or fewer emp.)
3.5 out of 5
"This is best for the people who want to work efficient in organization"
Auto ML feature. The Auto ML feature is the best thing in this and it reduces your work and you to work efficiently also the Auto Edge and Custom r...
Read more
Swati M.
SM
Swati M.Enterprise (> 1000 emp.)
4.5 out of 5
"Great Machine Learning Platform with Easy Integration"
Vertex AI makes it easy to prepare data, train models, and deploy them. The tools and services work well together, which saves time and effort. Aut...
Read more

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Vertex AI Media

Vertex AI Demo - [Use Case] Prototype to Production
Vertex AI helps you go from notebook code to a deployed model in the cloud. From data to training, batch or online predictions, tuning, scaling and experiment tracking, Vertex AI has every tool you need.
Vertex AI Demo - [Use Case] Data readiness
Vertex AI supports your data preparation process. You can ingest data from BigQuery and Cloud Storage and leverage Vertex AI Data Labeling to annotate high-quality training data and improve prediction accuracy.
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Video Reviews

Review by Issac P.
Vertex AI review by Issac P.
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Easy to train and deploy Machine Learning models using minimal code
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525 Vertex AI Reviews

4.3 out of 5
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4.3 out of 5
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Vertex AI Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for Vertex AIQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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Verified User in Automotive
UA
Small-Business(50 or fewer emp.)
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Validated Reviewer
Review source: Organic Review from User Profile
What do you like best about Vertex AI?

i love how to generate models through this tool Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

some delays in exporting results for a specified models Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

delay Review collected by and hosted on G2.com.

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Sourabh V.
SV
Member Technical
Enterprise(> 1000 emp.)
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Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

The main benefit is the availability of almost every option for you. You just decide what to use. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

The difficulty is the UI, which is challenging to navigate. This makes it difficult to use. Review collected by and hosted on G2.com.

Recommendations to others considering Vertex AI:

Use it for its various options. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

We use it for the Cloud AI. The main benefit is the availability of various options. Review collected by and hosted on G2.com.

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Verified User in Computer Software
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Small-Business(50 or fewer emp.)
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Incentivized Review
What do you like best about Vertex AI?

The Google Cloud AI Platform allows us to easily create new ML models from existing datasets within the Google Cloud Platform. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Training and documentation resources aren't continually updated and require using 3rd-party education sources to solve issues. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

We're able to easily create and run ML models off of the existing data we already have in our Google Cloud environments without needing any 3rd-party tooling. Review collected by and hosted on G2.com.

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Udit M.
UM
BGS honoree
Enterprise(> 1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Easy to use interface and easy to understand platform. The user interface is as easy as any beginner can use the platform with ease. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Limitations to selecting predictive models that are used to solve a problem. Like we cannot choose to use decision trees or neural networks for a specific problem. The tool selects that automatically. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

We use the Google Cloud AI platform for a lot of our school projects. The easy to understand interface is the best element of Google Cloud AI Platform. The features for running ML workloads, including pipeline versioning, automatic metadata tracking of artifacts and executions, Cloud Logging, visualization tools, and more are some noteworthy benefits. Review collected by and hosted on G2.com.

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Verified User in Information Technology and Services
UI
Small-Business(50 or fewer emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

- It is great as you do not need to want to spend time customizing AI libraries and algorithms and data will already be in Cloud

- Easy Integration with google BigQuery and google Pubsub that makes it easy to have a ready to use pipeline from data ingestion to analysis

- Its CV algorithms and video processing modules makes it easy to use image/video processing application and use cases Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

- It is not suited for hybrid cloud deployments

- Cant be used for or implement own AI algorithms

- Not best for Python or other coding languages Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

We are using Google cloud as our AI cloud platform for our machine learning projects Review collected by and hosted on G2.com.

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Verified User in Computer Software
UC
Enterprise(> 1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Great tool to build machine learning models with integration to cloud pub sub, dataflow, storage and bigquery. No issues with scalability and can support TBs of data. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Need time and technical knowledge to customize existing modules. Might not be good tool for hybrid cloud deployment or user based AI Algorithms. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

Using Google Cloud AI Platform in Data Science project to access big data from google cloud storage and bigquery to build machine learning models and analyze user behavior/pattern.

Good documentation and google support is helpful to use it. Review collected by and hosted on G2.com.

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SR
Dealer Service Specialist
Mid-Market(51-1000 emp.)
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Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Google's most important advantage is that the simplest way to store data is by no means impossible. The most excellent skill of this device is to help us solve all of the problems associated with arranging and eliminating previous files in order to create additional storage space. The way you provide photo protection is much appreciated by me. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

With the Google Cloud platform I have a pleasant experience. There's nothing like being less about it, really speaking. It helps me a great deal to fantastically manage my business. Review collected by and hosted on G2.com.

Recommendations to others considering Vertex AI:

Google Cloud Platform is, in my view, the best place for saving and storing information. Moreover, it offers a generally excellent service. This product I recommend to others. They could therefore benefit from their advantages. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

Access to our key files from every corner of the world is extremely easy. It can be used both commercially and personally. It also offers new companies a great service. I found this tool very professional, easy to navigate. This program fascinates users to choose this device over others, as the infinite storage space. Review collected by and hosted on G2.com.

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PV
Data Scientist
Enterprise(> 1000 emp.)
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Review source: G2 Gives Campaign
Incentivized Review
What do you like best about Vertex AI?

The serverless way to make predictions. Its easy to send an api call and get results in milliseconds Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

May be need support of a couple more libraries Review collected by and hosted on G2.com.

Recommendations to others considering Vertex AI:

Highly recommend use it for training and deployment on productive pipelines. Take care of training the model on datalab or same ML Engine so you dont have libraries incompatibilities, Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

Predicting the result of manufactory process. Benefit is the simplicity of the process and the possibility of have multiple models deployed at same time Review collected by and hosted on G2.com.

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Verified User in Information Technology and Services
GI
Mid-Market(51-1000 emp.)
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Review source: G2 Gives Campaign
Incentivized Review
What do you like best about Vertex AI?

I believe that the Cloud ML has helped us to face some business challenges we could not achieve without ML. We use to predict customer behavior and improve the company knowledge about the transactions. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Although the great , I think the greatest difficult it is the lack of support and lack of materials we could use as reference to build our own architecture. The documentation could be used to help starters and experts what could be changed with different sections of that. Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

Understanding customer behavior for marketing campaigns is much easier with GCP and Cloud ML. We can do this with high performance and great model accuracy. Review collected by and hosted on G2.com.

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RR
Senior Software Engineer
Small-Business(50 or fewer emp.)
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Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Vertex AI?

Best things about this platform is that we can work very simply and no one disturbs you nothing !! No ads and hassle free platform ...

Also google support is unbeatable ... Ho ahead with this to give your developer platform freeeee hit Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Nothing is there to be disliked .. the only thing is that google should provide live chat for products other than this too.

Otherwise the platform is fantastic ... And no one here can challenge it. Review collected by and hosted on G2.com.

Recommendations to others considering Vertex AI:

I and my whole team would recommend it to fullest and to everyone ...

The people who want to learn or those who want to create will be experiencing amazing things . Review collected by and hosted on G2.com.

What problems is Vertex AI solving and how is that benefiting you?

We here at my coMpnay yawa this platform for our in company developer. They lesen and they create the best out of it.

You cantik imagine what we have done with bus great platform ... Almost every thing is best. And no one can beat as always.. Review collected by and hosted on G2.com.

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