Name: Google Cloud AI
Rating: 8.2 (94 reviews)
Author: Google

Help Desk

Web and Video Conferencing

Customer Support

Agile Development

Image Recognition

Kubernetes Monitoring

Service Mesh

Development

Academic Advising

Classroom Management

Online Learning

Education

Barcode

Business Intelligence (BI)

Collaboration

Email Spam Filter

Interactive Voice Response (IVR)

VoIP

Enterprise

Accounting

Digital Banking

Finance and Accounting

Applicant Tracking

Benefits Administration

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Brokers

Cloud Storage

Converged Infrastructure

Data Center Infrastructure Management

Data Lakehouse

Data Observability

Database Load Balancing

Desktop Outsourcing

Ethernet Switches

File Sync and Share

Fraud Detection

Governance, Risk & Compliance

Integration Platform as a Service (iPaaS)

Machine Learning

Network Performance Monitoring

Network Troubleshooting

Operating Systems

Packet Analyzer

Software Defined Storage (SDS)

Tape Storage

Threat Intelligence

Information Technology

A/B Testing

AI Writing Assistant Software

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Digital Signage

Email Management

Email Marketing

Event Registration

Heatmap and Session Recording

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Presales

Sales Acceleration

Sales Gamification

Sales

Animation

Auto Repair

HIPAA Compliance

Insurance Suites

Investment Portfolio Management

PCB Design

Public Sector Software

Tax Practice Management

Vertical-Specific

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Tech Cares 2022

The Entire Web Application

Small - 3 project slots -1200 credits

Medium - 10 project slots - 1200 credits

Large - 50 project slots - 1200 credits

Gavagai

Pecan is an automated AI-based predictive analytics platform that simplifies and speeds the process of building and deploying predictive models in various customer-related and operational use-cases, such as LTV, churn, NBO, risk, and segmentation. Pecan does not require any data preparation, engineering, or prepossessing - it connects directly toraw data, and uses neural networks to automate the entire predictive process. With Pecan, organizations can obtain and deploy AI models in days, without relying on data scientists in the process.

Pecan was founded in 2016 and is based in Tel Aviv, Israel.

Pay as you go

Starter

Business

Let's talk

Pecan.ai

Google Cloud AI

Machine learning tools are algorithmic applications of artificial intelligence that give systems the ability to learn and improve without ample human input; similar concepts are data mining and predictive modeling. They allow software to become more accurate in predicting outcomes without being explicitly programmed. The idea is that a model or algorithm is used to get data from the world, and that data is fed back into the model so that it improves over time. It’s called machine learning because the model “learns” as it is fed more and more data.

Health, Wellness and Fitness

SWORD Health

Director of Accounting

Likelihood to Recommend

Likelihood to Renew

Usability

Support Rating

Implementation Rating

Google’s mission is to organize the world‘s information and make it universally accessible and useful. 

Since its founding in 1998, Google has grown by leaps and bounds. From offering search in a single language the company now offers dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, the company now has thousands of employees and offices around the world.

Google

Google Analytics

Google Ads

LinkedIn Sales Navigator for Gmail

LinkedIn Sales Navigator

NAVIGATOR

Google Cloud AI 2022-03-01 05:44:32

ImageKit.io

Speechpad

Speechnotes

ListNote Speech-to-Text Notes

Founder

Google Cloud AI 2022-07-26 11:46:27

Microsoft Azure

Watson IoT Platform

IBM Watson Explorer

Co-Founder/CEO

Google Cloud AI 2019-01-16 14:03:29

Dropbox

IBM Cognos Analytics

Alteryx Platform

Workplace from Meta

Amazon Drive (discontinued)

analista

Google Cloud AI 2018-06-22 09:22:23

Google BigQuery

IBM Watson Analytics, now Cognos Analytics

Google Cloud AI 2019-12-03 13:01:23

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

TrustRadius

Coding languages

Cloud applications

Security features

Hard to keep

Main page

Setup process

Training sessions

Time and experience

Easy to use

Machine learning

Machine learning models

Ready to use

Language translation

Voice to text

Data ingestion

Time saving

Use cases

High performance

Home

Machine Learning Tools

It´s used to archive of all fundamental data of the company, so it´s crucial to have one source of truth through all the group. It´s individual member can access there, all the necessary data to perform his work.

Storage of information
Facility to share info with others
Although you can easily share data you can also maintain the proper controls

Use AI for recognizing documents in several languages
Use AI to help properly storage docs

Avoiding storage in paper
Ease to share docs with internal/external stakeholders

LinkedIn Sales Navigator for Gmail, Google Ads, Google Analytics

I am working on different AI projects for Voice, Sound, Speech, and Images. Google Cloud AI Speech recognition and Image content analysis is the most useful AI API that I have worked with. Benefits are Auto machine learning, easy to train your modules so as the interface is easy to understand, response is quick. That's what we know Google for. Quick and Quality.

Easy to Train your model
Auto machine learning
Vetrex is Cool
Support wide range of platforms

My billing account keeps suspending cause of Indian Mendate. So that's the only thing that is frustrating to me.

It's all good not that expensive.
I am using many cloud APIs from Roadmetrix to AI all of them are more than what I am spending.

Speechpad, ListNote Speech-to-Text Notes, Speechnotes and ImageKit.io

We use the AutoML Natural Language part of the Google Cloud AI products. The NLP processor offered helps us understand user intent, sentiment, and perform other analysis on raw text received through multiple frontends for some of our experimental products. We also use the Cloud Vision API for street sign recognition, surveying, among other uses of converting text in images to text our backend can process and catalog.

New products - Google is constantly releasing and adding new products to this API, it seems to be on of the fastest-growing products for this.
Speed - The API is a lot faster than most of the alternative Computer Vision and general-use Machine Learning APIs out there.
Comprehensive results - The results the API returns for most of the products don't require recurring API requests for processing. Everything is included and organized exactly in the JSON response as mentioned in their documentation for most of these Cloud AI products.
The documentation format for this API is much better than some of Google's other documentation.

Hard to find what to use - To find the right products, you need look closely at the details of each API, and find which suits your purposes. This can be easily fixed by creating a main page that details all of the products simply.
Expensive - The API costs can quickly add up, especially during the setup process and as engineers figure out the usage of the API.
No playground or training - There is a lack of an "API playground" or training sessions that could make onboarding engineers to this API much easier.

Positive - We offset the processing power we needed locally by moving Cloud Vision and ML processing to cloud APIs.
Negative - Pricing. This was expensive to setup at the beginning, but later, the price of this API became more constant.
Negative - There was quite a difficult learning curve for this product, one that took a lot of time to figure out.

Microsoft Azure Machine Learning Workbench

IBM Watson IoT, IBM Watson Explorer, TensorFlow

This tool is being used in our organization by a specific management team, we are using the speech Cloud API. The truth is, to our team of researchers in the behavior field, it has been extremely useful. The savings in the hours-man equation is something wonderful. Now an activity that took us weeks of time invested before, we can do it in hours. And of course, now we dedicate more time to developing activities carried out with the result of our investigations in relatively short time, thanks to this application.

good conversion from the voice to the text
speed in the conversion from voice to text
time-saving in the conversion activity
analysis of the results of the conversion in real time

really this application so far has been very useful.
we believe that it could be better using other forms apart from the microphone.
I believe that this application can be merged with another in a way that throws general data on the topics investigated.

the first results to take into account is the significant saving of time in our laborious activities
this tool has allowed us to optimize our work by duplicating our effort to develop statistics so that our research department can throw the solutions to the problems posed
when we save time and we can use this time lapse to respond more immediately to the environment of our business everything becomes profit
something that we can not ignore is that with the Google application we have adjusted for the benefit of all the lifeline of the project and its objectives

Workplace by Facebook (Formerly Facebook at Work), IBM Cognos, Alteryx Analytics, Dropbox

Google Cloud AI

Overview

What is Google Cloud AI?