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Vertex AI Reviews & Product Details - Page 4

Vertex AI Overview

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
32,581,844 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:

Recent Vertex AI Reviews

Julian D.
JD
Julian D.Small-Business (50 or fewer emp.)
4.5 out of 5
"Very good at building, integrating, and deploying"
It integrates into code frameworks which is very good for my work, super complete. development platform on the unified platform is interestin
Verified User
U
Verified UserSmall-Business (50 or fewer emp.)
4.5 out of 5
"Less friction and more innovation. Vertex AI Review."
Vertex AI is excellent for exploring and evaluating a diversity of machine learning models in a single environment, I like this because it simplifi...
UJJWAL  D.
UD
UJJWAL D.Mid-Market (51-1000 emp.)
4.0 out of 5
"Efficient AI Platform with Robust AutoML"
It provides end-to-end machine learning platform which is seemlessly integrated with Google Cloud service. Its AutoML capabilities allow user to tr...
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5 people requested security information

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.
Play Vertex AI Video
Play Vertex AI Video

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Video Reviews

513 Vertex AI Reviews

4.3 out of 5
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513 Vertex AI Reviews
4.3 out of 5
513 Vertex AI Reviews
4.3 out of 5

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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G2 reviews are authentic and verified.
Abhinav Kaushal K.
AK
Lead Engineer
Mid-Market(51-1000 emp.)
More Options
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Google Cloud?

Large range of tools available for variety of tasks Review collected by and hosted on G2.com.

What do you dislike about Google Cloud?

Pricing information can be more detailed Review collected by and hosted on G2.com.

What problems is Google Cloud solving and how is that benefiting you?

It provides wide range of cloud tools that allow tasks from data storage, streaming, processing, modeling and deploying in one place. Review collected by and hosted on G2.com.

Shobhit G.
SG
Digital Marketing Strategist &amp; Automation Specialist
Marketing and Advertising
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

good fr unified experience from model development to deployment, that can significantly eases the workflow. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

pricing is high for small project if customization can be consider Review collected by and hosted on G2.com.

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

Identifying customer segments for targeted marketing as a digital marketer it helps us understand and predict customer behavior. It makes it easier to create personalized ads by analyzing lots of data quickly. the benefit of machine learning helps to analyze and segment audiences based on behavior, interests, purchase history, data-driven decisions, optimize ad budgets, customer behavior, leading to more successful campaigns and reduced waste in ad spend. Review collected by and hosted on G2.com.

Verified User in Banking
IB
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

It is easy to use and has many AI model that can be leveraged.It has around 150 plus gen ai models and tools that can be used to quickly deploy ML workflows and with ease. It is open

source. Customer support for this product is very apt and need very minimal assistance from team. Its very easy to implement with easy to use documentations provided by google. I have used it more than 5 times to build my ML flows. Also it can be used with python so integration point of view is also scoped out. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

currently panaromic images are not supported and connection can get disconnected frequently if your workbook is idle. Review collected by and hosted on G2.com.

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

I have used its GEN AI capabilities to deliver much useful products to my clients. Review collected by and hosted on G2.com.

Swati M.
SM
Data Science
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

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. AutoML is especially helpful for building models quickly without needing deep knowledge of machine learning. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It can be hard to learn at first because there are so many features. Also, the costs can be high for small businesses or individuals working on big projects. Despite this, the platform’s powerful tools are worth it. Review collected by and hosted on G2.com.

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

Vertex AI helps solve:

- Data Preparation: Efficient tools for cleaning and organizing data, saving time.

- Model Training and Deployment: An integrated environment for building, testing, and deploying models.

- Scalability: Easily handle larger datasets and complex computations.

- Automated Machine Learning: Simplifies model creation for users without deep ML expertise.

- Google Cloud Integration: Smooth workflow with other Google Cloud services for better data management and model operations.

These features streamline my machine learning projects, making them faster and more efficient. Review collected by and hosted on G2.com.

Hariharan S.
HS
Research Scholar
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

I think using google products along with the AI is very helpful. That way, I can get to access and use everything in the cloud. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

I am primarily a doctoral student. It gives information but the provision of response along with the source would be helpful. Also, it hallucinates when I talk about some reference from the past and response is not at par. Review collected by and hosted on G2.com.

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

I have not yet fully accessed all the features but the basic one. I am incorporating basic maching learning codes as of now Review collected by and hosted on G2.com.

Sai Nitish M.
SM
Senior Data Engineer
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Its kinda one platform for all, auto ml model creation and custom model creation also scalability as it is very good at scaling from small scale apps to large scale apps. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Dislike about vertex I feel its very difficult to understand for beginners and obvious the the cost, it provide pay as you go but if you are not taking care of your usauge then it results in big amount. Review collected by and hosted on G2.com.

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

Mainly to track the versions of ml models which deployed and it maintains the pipelines orchestration i.e. We can define worklows, and also we can monitor the worklows for better stakeholder exp, main thing it provides al features in minimal costs for the organaisations. It increseaes the efficinecy and also we can increase the performance if needed by using this. Review collected by and hosted on G2.com.

Raj Y.
RY
Backend Developer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

My experience as a user of the Vertex AI is good. It can do a lot of work in very little time and is very useful for all types of users, such as developers, content writers, and many more. I like it due to its advanced knowledge and recent data updates. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Sometimes it gives the same results when I try to change prompts slightly. so it gives me the same output. Review collected by and hosted on G2.com.

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

As a backend developer it helps in the build up the complex alogiths in simple ways and the code quality keep always best with best security practices. Review collected by and hosted on G2.com.

Verified User in Logistics and Supply Chain
IL
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Vertex AI by Google is a powerful tool that makes it easier to build and deploy machine learning models, especially for teams using Google Cloud. I liked how it combines everything needed in one place, from model training to deployment. The AutoML feature is great for quickly building models without needing a ton of coding, and the platform’s Pipelines tool helps keep workflows organized. It’s also secure, with strong data protections, which is important. Overall, it’s a solid choice for both beginners and experienced ML users looking for an all-in-one platform. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It feels a bit overwhelming for beginners due to its many tools and settings and additional features and functionality Review collected by and hosted on G2.com.

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

All the features you will get at one place Review collected by and hosted on G2.com.

Verified User in E-Learning
UE
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Vertex Ai is really easy for me to train my model and deploy it just like that without needing to know about the in depth of coding in python, with the help of vertex Ai i have just practiced training a model to generate catchy and funny taglines from a picture,also I have used language,image and video to train a model using vertex Ai Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Some times there are certain regions where I can't save my prompts, also at time after training my model it frozes out also it does need very good quality image with decent pixels to train and work with,when given a high contrast images it's just not giving out the expected outcomes Review collected by and hosted on G2.com.

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

The persons who needs to train the model need to know the indepth knowledge on coding and machine learning which can be easily solved by the means of vertex Ai and mainly vertex Ai Studio where I can train multiple type of models using multiple inputs like language,vison Review collected by and hosted on G2.com.

Verified User in Entertainment
UE
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

The best thing I liked about vertex AI is its user friendliness and seamless integration with other GCP offerings.

We had primary use case around model training and repository. For that, we need to connect with BQ and Google Store buckets which vertex AI does seemlesssly and without any extra efforts. On top of it, the interface provided is pretty much user friendly for all the levels of experienced people Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

The biggest downside in my opinion is it's pricing structure. Initially, when you starts it seems ok and one can quickly launch new models using it. But as you move forward you find pricing structure a bit too steep and complex to understand.

Other than pricing, a big concern to me is vendor lockin due to complex integration with third party services. Once you start using vertex AI, you try to use GCP services only as it's an effort to use third party tools and services. In this case, you get stuck in the GCP ecosystem and it's really difficult to switch Review collected by and hosted on G2.com.

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

1. Scalability and resource managerment: Earlier, we were using in house jupyter notebooks for testing and running the final training scripts on apache-airflow. There were too many things to take care of like resource optimisation, cluster maintainance, dependency of training team on us. With vertex AI most of these are automated

2.Collaboration and Reproducibility: With our earlier system, it was really difficult to collaborate and maintain the model registry. WIth this we can easily keep track of everything at a single place. Project management is also better Review collected by and hosted on G2.com.