Software Alternatives & Reviews

Keatext VS Google Cloud Machine Learning

Compare Keatext VS Google Cloud Machine Learning and see what are their differences

Keatext logo Keatext

Your most impactful CX improvements start here

Google Cloud Machine Learning logo Google Cloud Machine Learning

Google Cloud Machine Learning is a service that enables user to easily build machine learning models, that work on any type of data, of any size.
  • Keatext Landing page
    Landing page //
    2022-12-08

Keatext is a CX analytics solution that provides AI-based predictive recommendations to improve customer satisfaction.

Get recommendations from your customer responses like reviews, open ended surveys, and contact center tickets to support data-driven decisions and be a more customer-centric organization.

  • Bring forward decisions with impact: Zero in on opportunities to increase ROI and identify strengths and weaknesses from your customer data

  • Monitor every stage of the customer journey: Build a complete view of what drives customer satisfaction and discontent

  • Automate how you generate customer intelligence: Uncover customer insights you can act on without any heavy lifting

Key features

  • Contextual recommendations with SWOT chart
  • Customizable, interactive dashboard
  • Sentiment categories including customer suggestions and questions
  • Topic and opinion heatmap
  • Shareable reporting

The application is cloud-based and requires no advanced setup or training to start getting insights.

Keatext is trusted by companies in over 10 industries including Lenovo, Intuit, and Intelcom. By using the platform, clients not only improve their customer experience KPIs but help their organization become more customer-centric.

  • Google Cloud Machine Learning Landing page
    Landing page //
    2023-09-12

Keatext features and specs

  • Predictive recommendations: Yes
  • Customizable dashboard: Yes
  • Topics and opinions heatmap: Yes
  • Advanced sentiment analysis: Yes
  • Multichannel analysis: Yes

Google Cloud Machine Learning features and specs

No features have been listed yet.

Keatext videos

Introducing Keatext

More videos:

  • Demo - Introducing Keatext

Google Cloud Machine Learning videos

No Google Cloud Machine Learning videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Keatext and Google Cloud Machine Learning)
NLP And Text Analytics
100 100%
0% 0
Data Science And Machine Learning
Customer Experience Management
Data Science Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Machine Learning seems to be more popular. It has been mentiond 21 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Keatext mentions (0)

We have not tracked any mentions of Keatext yet. Tracking of Keatext recommendations started around Mar 2021.

Google Cloud Machine Learning mentions (21)

  • Gemini 1.5 outshines GPT-4-Turbo-128K on long code prompts, HVM author
    2. Google Cloud Vertex AI: https://cloud.google.com/vertex-ai. Policy: https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance#foundation_model_training. - Source: Hacker News / 3 months ago
  • Let's build your first ML app in Google Cloud Run
    Google Cloud Platform (GCP) provides a very befitting Machine Learning solution called Vertex Ai that handles Google Cloud's unified platform for building, deploying, and managing machine learning (ML) models. Our goal is to build a simple Machine Learning application that optimizes all that GCP provides plus an implementation of continuous integration and continuous development (CI/CD). - Source: dev.to / 4 months ago
  • Google Gemini Pro API Available Through AI Studio
    Cross posting some links from another post that HNers found helpful - https://cloud.google.com/vertex-ai (marketing page) - https://cloud.google.com/vertex-ai/docs (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console) - https://console.cloud.google.com/vertex-ai/model-garden (all the models) - https://console.cloud.google.com/vertex-ai/generative (studio / playground) VertexAI is the... - Source: Hacker News / 5 months ago
  • Google Imagen 2
    For the peer comments - https://cloud.google.com/vertex-ai (main page) - https://cloud.google.com/vertex-ai/docs/start/introduction-unified-platform (docs entry point) - https://console.cloud.google.com/vertex-ai (cloud console). - Source: Hacker News / 5 months ago
  • Introducing Gemini: our largest and most capable AI model
    Starting on December 13, developers and enterprise customers can access Gemini Pro via the Gemini API in Google AI Studio or Google Cloud Vertex AI. Source: 5 months ago
View more

What are some alternatives?

When comparing Keatext and Google Cloud Machine Learning, you can also consider the following products

Chattermill - Extract actionable insights from customer feedback using deep learning

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Farrago - Intuitive soundboard app to quickly play sound bites, audio effects, and music clips.

NumPy - NumPy is the fundamental package for scientific computing with Python