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Vertex AI Reviews & Product Details - Page 40

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
32,610,195 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:

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.
Sunil D.
SD
Co-Founder
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?

- Image classification and tabular data classification AutoML models work like charm. Forecasting model also great Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

- Buggy google console keeps redirecting to enable api page.

- Video analytics could do better Review collected by and hosted on G2.com.

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

ETA prediction for FTL city to city trip basis of lead distance day of week and type of vehicle

Vehicle classification from video fram analytics Review collected by and hosted on G2.com.

Harshit S.
HS
Inside Sales-QuickReviewer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
(Original )Information
What do you like best about Vertex AI?

We have been using Vertex AI recently. The team really admires the auto ML feature, and automation has saved us a lot of time. The pricing is justified for now. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Google cloud is fast and responsive, but some of our clients use AWS. I don't know if it will work with AWS completely or the integration will be as seamless as Google cloud or not. Review collected by and hosted on G2.com.

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

It has helped us run big data queries, and the data visualization is an add-on. You do not have to run to another excel or sheets for a team presentation, it does the work for you. Review collected by and hosted on G2.com.

Stephen M. P.
SP
Sergeant First Class - Internment & Resettlement Specialist (Army MOS 31E)
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?

Availability of everything Google makes resources readily available and throughhput fast enough for production Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

There is a bar to entry of education and a paywall to get over at some point. It seems that Open Source resources are going to be necessary. Review collected by and hosted on G2.com.

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

I am able to use the platform to develop products for capstone work and to develop user-level familiarity to decide on buying in. Review collected by and hosted on G2.com.

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

It is a jupyter notebook-based model development platform that helps in faster model development through enterprise infrastructure. It connects through google based cloud platforms and provides efficient services from prototyping to implementation. It gives end-to-end model development from testing and learning in later phases. Also, it is very helpful in advanced analytics solutions Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Although it is a great platform for ML models, it is connected to google cloud-based platforms; hence, the connection with other platforms is sometimes time-consuming. It is also a bit slow when many people work simultaneously. Review collected by and hosted on G2.com.

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

Vertex AI Workbench is helping the firm to enable Machine learning models quickly and efficiently that can be put into the production environment in the least time possible. With its AI-based platform, the Model development is easy to use with model training and testing from the cloud database Review collected by and hosted on G2.com.

Petr H.
PH
Lead DevOps Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

We started to use Vertex AI recently to help with managing customer support flows within our company. We then started to explore Vertex AI workbench as an additional tool to better manage our workflows and are very happy with the solution Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

It's too early to say what we don't like - as far as we know, there is not a competing tool on the market and vortex ai workbench does help a lot already Review collected by and hosted on G2.com.

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

We are users of vertex AI, and workbech is helping us to use vertex AI better - engineers likes the extra features workbech is providing Review collected by and hosted on G2.com.

Talha D.
TD
Data Engineer Analyst
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 part is GCP provided all the possible AI services within that Machine Learning Model training is one of the best, Conversational AI for developing interactive Chatbots and Voice bots! Best OCR is also provided using AutoML and Vision API which also comes under AI services. All the best and possible AI / ML services are in GCP!!! Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

I am using it for the last 2 years and till now very much satisfied with AI services. I am not having any issues with the GCP. To date, I do not find any defects with the AI Services in GCP. Review collected by and hosted on G2.com.

Recommendations to others considering Vertex AI:

If you are AI / ML Engineer and want to provide the best machine learning custom models to the business then GCP. Best Data Labelling is achieved for your custom ML Model.

As Python Developer you can write the code in AI notebook instances for analysis and prediction. Review collected by and hosted on G2.com.

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

As a cloud engineer, I am using GCP for training the machine learning models for entity extraction, object detection, OCR for extracting the text from the image. In the Conversational AI service, I used Google Dialogflow for developing interactive and smart Chatbots and Voice. This all services increases our business performance. Review collected by and hosted on G2.com.

Danielle S.
DS
Senior Digital Account Manager & Strategist
Marketing and Advertising
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

I really enjoy working with the Vertex AI Workbench. I like the efficiency of the platform, the performance of the tool and the way that it is streamlined to function with my team Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

I really don't enjoy working with the Vertex AI Workbench when there are occassionally glitches that happen and occur in the API functions. We could also use broader data build out Review collected by and hosted on G2.com.

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

Vertex AI Workbench helps my team solve entire data science workflow.End to end automation of work flows for our analytical projects and data sceience teams. It's great Review collected by and hosted on G2.com.

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

The best thing about Workbench is that it provides multiple frameworks to create instances without installing all the required packages. It also helps us schedule the notebook's execution even when the notebook instance is turned off. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

The notebook instance is not reliable when multiple users share the instance. As a result, we constantly face connection issues and have to reset the instance losing all the work. Review collected by and hosted on G2.com.

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

Vertex AI Workbench provides managed and user-managed jupyter notebook environment for Exploratory Data Analysis and Model Development. It benefits us in training the models. Review collected by and hosted on G2.com.

Shivankar P.
SP
Research Intern
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Best tool when working on Data-science/ML related projects on GCP. Has a seamless interaction with Google cloud. It manages all my notebook and deployment workflows from a place. Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Pricing is on the higher side and there is no free tier. Consoles sometimes get buggy and unresponsive. Review collected by and hosted on G2.com.

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

Data-science has a high entry barrier with many things to know in place. Vertex AI handles many of the required functionalities in best way reducing the effort of the user. From data exploration/analysis to deploying ML model and even MLops. Review collected by and hosted on G2.com.

V. R.
VR
Sr Business Lead - Intelligent Automation
Enterprise(> 1000 emp.)
Validated Reviewer
Review source: G2 invite
Incentivized Review
What do you like best about Vertex AI?

Useful for a layman, as only primary level knowledge is required to understand and use it

Enhances decision making

Most reliable and secured platform to store data Review collected by and hosted on G2.com.

What do you dislike about Vertex AI?

Limited customization is only possible, denying us to be creative

Few features needed to be paid extra, which is a disappointment

Costing is also a concern, though the brand value says it all Review collected by and hosted on G2.com.

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

Drives innovation, improves business outcomes

create internal & external operational efficiencies

breadth of services lets you to choose wide variety of features Review collected by and hosted on G2.com.