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Vertex AI Reviews & Product Details - Page 5

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.


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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.
Mohamed S.
MS
Fresh Graduate
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

As I published my frontend app link using vertex and it was free, also for machine learning Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Really there is nothing I dislike about vertex Review collected by and hosted on G2.com.

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

It makes ML development faster, build apps quickly and fine-tuning for ML models Review collected by and hosted on G2.com.

Mahmoud A.Shawqi A.
MA
Communication and Electronics Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Low prices is very good and has alot of powerful GPUs and TPUs Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It feels buggy, challenging to set up, and even harder to fine-tune to meet specific requirements Review collected by and hosted on G2.com.

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

I was fine-tuning a LLm for sentiment analysis of company customers to out of insights Review collected by and hosted on G2.com.

Mihir K.
MK
Salesforce Developer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

1. Vertex AI is an effective service by Google for automating machine learning workflows.

2. I enjoy its ability to make the process of creating, deploying, and administering ML models quicker, also its scalability and interoperability with other Google Cloud services.

3. Vertex AI's automated hyperparameter tuning and model interpretability capabilities assist users in increasing the accuracy and reliability of their models.

4. Lastly, deploying my ML models on Vertex AI makes me feel easy to integrate, and also implementation is simple as because of it's User-friendly and simple UI, as I use it frequently. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

1. I have dissatisfaction with the steep learning curve and complexity of making and operating Vertex AI pipelines, which can be frustrating for others also, with little experience in machine learning or cloud computing.

2. Furthermore, it's scalability fails particularly for large datasets or complicated models, which can result in timely processing and errors. Review collected by and hosted on G2.com.

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

1. For me, Vertex AI is solving the challenge of deploying and managing machine learning models in production, making it way easier to scale and sustain complicated ML workflows.

2. It also helps me by providing a simple and effective roadmap to install and manage my ML models, allowing me to focus on developing more accurate and robust models rather than worrying about infrastructure and deployment, as handed by cloud itself.

3. Vertex AI allows me to quickly and easily experiment with different architectures, and iteratively improve their performance, by various techniques. Review collected by and hosted on G2.com.

Ekta S.
ES
Senior Executive - Data Science & Analytics
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 one stop ML solution where anything and everything related to machine learning is performed. Its ease of use and customer suppoert is a different service altogether. Vertex AI has a very good ease of integration with other services as well as ease of implementation. The frequency of use of the Vertex AI product is on a daily bases and the huge number of features make it the most reliable platform to go to. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

In comparison to AWS, its services are not mature enough. The pretrained models lack certain depth. Review collected by and hosted on G2.com.

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

When we work in a corporate we are looking for a one stop solution which provides us with all the ML as well as MLOPs capabilities. So we are getting that as a complete package in the Generative AI service. The benefits are innumerable. DS and ML implementation as well as production deployment has become much easier with the help of the Vertex AI interface and solutions. The benefits are crazy in terms of the revenue that can be made by using Vertex AI. Review collected by and hosted on G2.com.

Huba R.
HR
Intern
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Vertex AI?

Easy integration and is a single ecosystem Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It is expensive and can be complicated for beginners Review collected by and hosted on G2.com.

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

Enhances adoption and makes collaboration easy Review collected by and hosted on G2.com.

Neeraj M.
NM
Member of Technical Staff
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

These are the points that I liked about Vertex AI:

a) Easy interface

b) Some tough task like fine-tuning is very easy to perform.

c) I liked the concept of model garden where lots of model are available.

d) Multimodality is a great plus point.

e)Batch predictions and vector searh is cool tough.

f) Customer support is also good but it is same as AWS etc. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

These are the point that I disliked and need some improvement:

a) OpenAI models are not available.

b) Lot of models that are available in Hugging face should be also available here too.

c) There is no facility for testing the Gen-AI apps.(This is s very big concern)

d) This platform should focus on safety and security testing of Gen-AI apps like azure is focusing on. Also Garak is providing that feature. Review collected by and hosted on G2.com.

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

Lot of problems that we are solving through Vertex AI:

a) Finetuning models on our own data.

b) Using multi modals.

c) Using the google cloud vision API's for some client gen ai apps. Review collected by and hosted on G2.com.

Udita C.
UC
Senior Software Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Vertex AI?

The vertex AI is very effficient in performance. From machine learning and AI point of view it provides scalable environment for performing tasks in high frequency. The implementation of engineering workflows is quiet good and easy. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Sometimes the machine got stuck and user have to reconnect it through credentials and nothing else everything is working fine till now. Review collected by and hosted on G2.com.

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

Vertex AI helps me to solve numerous problems and benefits in good outcomes Review collected by and hosted on G2.com.

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

I like how the ai explains the queries and easy to learn, we can easily implement it on any problems, customer support is also very good, we use it on regular basis, it can be easy to integrate with google products, and a lot of features are also there. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

very technical, depends on google products Review collected by and hosted on G2.com.

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

helps me in finding relevent and useful data for my projects. Review collected by and hosted on G2.com.

Abhideep J.
AJ
Senior Consultant
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Very easy and intuitive drag-and-drop console to do advanced ML. Complex computer vision, NLP, and image recognition algorithms are available out of the box. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

The only downside is the models are somewhat black-box i.e. you would not know what is happening in the back end compared to building your own models from scratch. Review collected by and hosted on G2.com.

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

Vertex AI is helping me automate a lot of data science and ML pipelines. Since I don't have a deep DS background, Vertex AI makes it easy for me to build custom models around image recognition, video decomposition, language understanding, etc. with minimal knowledge of the subject. It has made it easier for me to run experiments repeatedly and track them until I get a good model score. I like the out-of-the-box APIs for vision, language etc. which makes my job easy. Review collected by and hosted on G2.com.

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

The tool helped me to understand the basics of GENAI. It has all the basic GENAI tools at one place. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It has a steep learning curve. But once I learn it it is easy to use. There must be some courses with one-to-one support. Review collected by and hosted on G2.com.

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

It will help me to leverage the most advanced cutting edge LLMs and leverage them in current work Review collected by and hosted on G2.com.