Software Alternatives & Reviews

Zuzu VS Amazon Machine Learning

Compare Zuzu VS Amazon Machine Learning and see what are their differences

Zuzu logo Zuzu

Knowledge Assistant for your Workplace

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • Zuzu Landing page
    Landing page //
    2023-02-15

Hi, I am Zuzu AI, Knowledge Assistant for your workplace

Improve customer experience by delivering information when and where your team needs it.

Improved Customer experience Boost your customer experience with our AI assistant for teams which provides consistent and accurate answer to customer queries.

Increase Team's productivity Repetitive questions can eat up your agent’s valuable time. Let an AI assistant help your agents answer customer FAQs and close leads faster.

Improved Customer Satisfaction and Sales Velocity Zuzu reduces time it takes to respond to customers by upto 65 percent, ultimately improving customer satisfaction and sales velocity.

Trusted and Up-to-date Knowledge for Everyone Build knowledge-bases based on your product categories. Share team with always updated knowledge, trained over customer data by everyone.

Trained over your Customer Conversations Add answers to your customer's queries the way they ask it. This helps you to build knowledge-base over customer data which later will be able to answer 90% of customer queries.

Let everyone participate in customer success Share Knowledge-bases across all of your teams in workplace. Let your Sales, Product, and Support team work in collaborative manner to support your customers.

Website: https://zuzu.ai Support: support@zuzu.ai

  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

Zuzu

$ Details
Free Trial $5.0 / Monthly (Per User)
Platforms
Browser Web Google Chrome Salesforce GMail
Release Date
2017 November

Zuzu videos

Zuzu Luxe & Gabriel Powder Foundation Comparison and Review

More videos:

  • Review - ZUZU LUXE LIP PENCIL and LIP GLOSS REVIEW / SWATCHES | Vegan Michele
  • Review - GABRIEL COSMETICS AND ZUZU LUXE| first impressions| clean cosmetics

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to Zuzu and Amazon Machine Learning)
Productivity
100 100%
0% 0
AI
6 6%
94% 94
Chrome Extensions
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, Amazon Machine Learning seems to be more popular. It has been mentiond 2 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.

Zuzu mentions (0)

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

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago

What are some alternatives?

When comparing Zuzu and Amazon Machine Learning, you can also consider the following products

Google Duplex - An AI assisstant that can talk on the phone 🤖

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Suggestions from M - Facebook Messenger AI assistant now open to everyone in US

Lobe - Visual tool for building custom deep learning models

Dialogflow - Conversational UX Platform. (ex API.ai)

Apple Machine Learning Journal - A blog written by Apple engineers