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IBM Watson Studio VS Signifyd

Compare IBM Watson Studio VS Signifyd and see what are their differences

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  2. » Videos
  3. » Reviews
  4. » Alternatives

IBM Watson Studio logo IBM Watson Studio

Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Signifyd logo Signifyd

Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.
  • IBM Watson Studio Landing page
    Landing page //
    2023-10-05
  • Signifyd Landing page
    Landing page //
    2023-09-17

IBM Watson Studio videos

+ Add

Product Review: IBM Watson Studio AutoAI

More videos:

  • Review - Overview of IBM Watson Studio
  • Review - Configuring IBM Watson Studio (Free) with 2.3 (coursera), April 30th '19 Release

Signifyd videos

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Signifyd Review: Top Cybersecurity Review Companies - AngelKings.com

More videos:

  • Review - 2020 The TEI of Signifyd Guaranteed Fraud Protection
  • Review - Signifyd - Future of Fraud Prevention

Category Popularity

0-100% (relative to IBM Watson Studio and Signifyd)

IBM Watson Studio

Signifyd

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
eCommerce
0 0%
eCommerce
100% 100
Machine Learning
100 100%
Machine Learning
0% 0
Fraud Prevention
0 0%
Fraud Prevention
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare IBM Watson Studio and Signifyd

IBM Watson Studio Reviews

The 16 Best Data Science and Machine Learning Platforms for 2021
Description: IBM Watson Studio enables users to build, run, and manage AI models at scale across any cloud. The product is a part of IBM Cloud Pak for Data, the company’s main data and AI platform. The solution lets you automate AI lifecycle management, govern and secure open-source notebooks, prepare and build models visually, deploy and run models through one-click...
Source: solutionsreview.com

Signifyd Reviews

We have no reviews of Signifyd yet.
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Social recommendations and mentions

Based on our record, Signifyd seems to be more popular. It has been mentiond 1 time 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.

IBM Watson Studio mentions (0)

We have not tracked any mentions of IBM Watson Studio yet. Tracking of IBM Watson Studio recommendations started around Mar 2021.

Signifyd mentions (1)

  • Zed Shaw Explains How Stripe Is PayPal Circa 2010
    There are third party solutions to fraud that actually work, providing chargeback insurance. Essentially, they screen transactions; if any approved transactions are chargebacked, they refund you. A good start point is https://signifyd.com We dropped in this solution on our e-commerce about 5 years ago; fraud has been a non existent problem. - Source: Hacker News / over 1 year ago

What are some alternatives?

When comparing IBM Watson Studio and Signifyd, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Riskified - eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

Kount - eCommerce fraud detection & prevention

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Sift - Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.

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