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Vertex AI Reviews & Product Details - Page 14

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

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...
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...
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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.
Play Vertex AI Video
Play Vertex AI Video

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Video Reviews

523 Vertex AI Reviews

4.3 out of 5
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523 Vertex AI Reviews
4.3 out of 5
523 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.
Varun Ganjigunte P.
VP
Computer Vision Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic Review from User Profile
What do you like best about Vertex AI?

Vertex AI offeres various types of DeepLearning Models via APIs for task specific vision, speech and language models. I have extensively used the language model PaLM 2, for summirization, classification and named entity recognition. The AutoML feature enables automatic best hyperparameter tuning capoabilities which comes handy during the inintial experiments. Our team uses ML model explainability feature to better understand and validate the prediction of the model. I interact with Vertex AI almost everyday to build and easily integrate ML solutions.

Overall, Vertex AI has all the features from data labelling, model development, pipeline orchestration to serving models which one can use to build a ecosystem of solutions. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

We had trouble in accessing managed notebooks in Vertex AI and the service availability is not great. Review collected by and hosted on G2.com.

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

The pre-built models are readily available based trained on specific tasks which comes handy while experimentiong a proof of concept. Vertex AI has introduced model explainability a s apart of their solution offering that helps to validate and explain the results to stakeholders. Review collected by and hosted on G2.com.

Aman A.
AA
Manager, Customer Success
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: G2 invite
What do you like best about Vertex AI?

I liked a few features of vertex AI like data preparation, model training, and deployment. It also have auto ml function, which help me day to day operations, I have integrated this with google cloud as well. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

A few features are very overwhelming and pricing is a issue Review collected by and hosted on G2.com.

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

Vertex Ai is solving several critical problems like unified Machine learning platform. auto ml efficiency.

Its scalability is very efficient and their are lots of use cases as well Review collected by and hosted on G2.com.

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

Very useful for Engineering and design developer. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Some times the website acts slow it may be the large load. Review collected by and hosted on G2.com.

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

In machine learning. Review collected by and hosted on G2.com.

Anant s.
AS
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

I appreciate­ how Vertex AI offers a comple­te set of tools and service­s to help with machine learning from start to finish. It make­s creating, deploying, and managing models straightforward using one­ platform. I like that it simplifies the whole­ process in the machine le­arning workflow. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Not thrilled about things that could make­ the platform tricky to navigate. Also wary of any restriction in twe­aking it for particular situations. Review collected by and hosted on G2.com.

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

Verte­x AI is a tool for machine learning. It makes cre­ating, using, and managing ML models easier. This platform handle­s the tough and scattered ste­ps in ML workflows. With its help, you get to work faster and simple­r. That way, you can get your ML solutions out there quicke­r. Review collected by and hosted on G2.com.

Antriksh T.
AT
Software Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Vertex AI was good and easy to use. It also has features that make it easy to integrate for any ML app Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Some features require deeper knowledge and time. Review collected by and hosted on G2.com.

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

Creating ML based apps. Review collected by and hosted on G2.com.

Rahul A.
RA
Associate Manager Data Scientist
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Seemless integration with google storage. Lot of managed services, apis available Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Need specific training, learning curve is big. Review collected by and hosted on G2.com.

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

Execution of code on the go, easy and quick prototyping. Review collected by and hosted on G2.com.

Dr. Hernani C.
DC
Co-Founder & CTO
Consulting
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Vertex AI provides a unified platform for the entire ML lifecycle, from data preparation to model deployment and monitoring. This streamlined approach simplifies the ML process and reduces the need for multiple tools and integrations.

Vertex AI's AutoML features automate various aspects of ML model development, such as feature engineering and hyperparameter tuning. This automation can save time and effort for ML engineers and enable non-experts to build effective models. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Vertex AI's comprehensive feature set can make it overwhelming for beginners and those with limited experience in machine learning. A more user-friendly interface and improved documentation could enhance accessibility. Review collected by and hosted on G2.com.

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

To streamlineML process, enabling my businesses to build, train, and deploy models more quickly and efficiently. Moreover, its collaborative features enable data scientists and machine learning engineers to work together effectively, share knowledge, and reuse code modules. Review collected by and hosted on G2.com.

Pratik D.
PD
Systems Engineer
Enterprise(> 1000 emp.)
Validated Reviewer
Verified Current User
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

I would like to mention that Vertex AI is smooth, easy to go prompting solution by Google. Easy, quick implementation and integration using API codes available instantly within the console along with documentations provided by Google Cloud Team. New features are constantly updated on platform on regular basis. As far as the usage is concern, using it frequently for assistance. And last but not the least, Google Cloud's quick support for issue resolutions is commendable. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

To be honest, I'm yet to find something that I dislike about Vertex AI Review collected by and hosted on G2.com.

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

Vertex AI can solve all possible problems and use cases that other Generative AI Platforms. But talking specifically about Vertex AI, it helps me in coding debugging and aiding FAQ search's. Review collected by and hosted on G2.com.

Pritam K.
PK
Senior Software Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

1) Very user friendly.

2) It has significantly resolved the complexity.

3) Every Stage of AI/ML can be easily managed on one single platform.

4) Platform is very reliable and performance is very good. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Vertex AI can be more developed to interpret data in a more advanced manner. Review collected by and hosted on G2.com.

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

Before Vertex AI, managing every component in different AI stages were a nightmare and very complex. Vertex AI has addressed this issue in a very easy way and managed to create a single platform where different complexed components can be easily managed. Review collected by and hosted on G2.com.

PD
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 Gives Campaign
Incentivized Review
What do you like best about Vertex AI?

I have bvery good experience with vertex AI auto ML and I use it all the time. The accuracy of the models and quick to train would save me lot of time Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It would be good if we have easy way to score the model with data available on Other clouds or on prem. I find it hard to have the seamless connection. Review collected by and hosted on G2.com.

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

As in airline cargo industry we have to identify customer behaviour about no shows and this one helpsed me to do it pretty quickly.

also helped me to predict custom holds of the shipments Review collected by and hosted on G2.com.