expert.ai NL Suite vs. Mage AI

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
expert.ai NL Suite
Score 10.0 out of 10
N/A
The expert.ai NL Suite (formerly Cogito Intelligence Platform (CIP) from Expert System, rebranded expert.ai) performs analysis of unstructured data sets to organize, discover and explore information in order to support intelligence workflows by providing actionable insight as data emerges. CIP leverages Artificial Intelligence based on full Natural Language Understanding to automatically comprehend and process concepts in text. By assigning the correct meaning to words based on context, CIP…N/A
Mage AI
Score 8.6 out of 10
N/A
Mage AI is a cloud-native Data Pipeline orchestration platform designed to facilitate the development, deployment, and management of data-intensive applications. The system provides a managed environment for building modular data workflows that integrate with existing cloud infrastructure and AI developer toolchains.
$0
per user
Pricing
expert.ai NL SuiteMage AI
Editions & Modules
No answers on this topic
Hobby
$0
per user
Pro
$2,000
per month per user
Offerings
Pricing Offerings
expert.ai NL SuiteMage AI
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeOptionalOptional
Additional DetailsContact vendor for pricing information.
More Pricing Information
Community Pulse
expert.ai NL SuiteMage AI
Best Alternatives
expert.ai NL SuiteMage AI
Small Businesses
IBM Watson Studio
IBM Watson Studio
Score 10.0 out of 10

No answers on this topic

Medium-sized Companies
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.4 out of 10
Maia by Matillion
Maia by Matillion
Score 8.5 out of 10
Enterprises
PG Forsta HX Platform
PG Forsta HX Platform
Score 9.4 out of 10
Maia by Matillion
Maia by Matillion
Score 8.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
expert.ai NL SuiteMage AI
Likelihood to Recommend
10.0
(1 ratings)
8.5
(2 ratings)
Performance
9.0
(1 ratings)
-
(0 ratings)
Ease of integration
7.0
(1 ratings)
-
(0 ratings)
User Testimonials
expert.ai NL SuiteMage AI
Likelihood to Recommend
expert.ai (formerly Expert System)
Existing body of data regarding our demographic targets, including social media, so for our psychographic targets, quite helpful. Alerts assist us in anticipating specific market demands. Yet AI is in its infancy so Cogito can only go as far as beta can go.
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Mage
Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
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Pros
expert.ai (formerly Expert System)
  • Humongous amounts of data can be found
  • Autonomous
  • Gives us actionable data and market insights and ideas
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Mage
  • Ranking algorithms.
  • Cloud-based tool.
  • Increase user engagement.
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Cons
expert.ai (formerly Expert System)
  • 500k bits of data is a lot.
  • Visualization is good but there is room for more refinement.
  • Harnesses AI, yet more potential there.
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Mage
  • Acquisition Contribution.
  • Business Intelligence Reporting.
  • Data Destinations.
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Performance
expert.ai (formerly Expert System)
Fast with just a few clicks and quite breathtaking what it finds. Beware you cannot search, only find!
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Mage
No answers on this topic
Alternatives Considered
expert.ai (formerly Expert System)
We were primitive using Salesforce, and while it is great, Cogito is a laser.
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Mage
Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
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Return on Investment
expert.ai (formerly Expert System)
  • Identified new psychographic and demographic targets.
  • Kept us in the tide of social media as it breaks.
  • Improved our bottom line at least 7% so far.
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Mage
  • Business Understanding.
  • Data Acquisition and Understanding.
  • Data Modeling and Evaluation.
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ScreenShots