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IBM Watson

An open and cloud-based AI platform for business
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IBM WatsonProduct Overview

  1. About IBM Watson
  2. Pros of IBM Watson
  3. Cons of IBM Watson
  4. Breakdown of core features

IBM Watson product overview

IBM Watson is a multi-cloud AI platform that helps organizations predict future outcomes, optimize employees’ time, and automate complex processes. It is a portfolio of business-ready tools, applications, and solutions designed to reduce the costs and hurdles of AI adoption while optimizing outcomes and responsible use of AI.

IBM Watson is built to simplify the use of data from diverse sources and get more value from the AI, faster. The platform is grounded in science, human-centered design, and inclusivity. Organizations can use their data to create, train, and deploy machine learning and deep learning models. Businesses can leverage an automated and collaborative workflow to grow intelligent business applications with more confidence.

IBM Watson helps users automate their AI lifecycle and create powerful models. It offers integration and reporting capabilities for achieving greater insights. IBM Watson enables organizations to combine AI into their applications and helps with data management in the cloud. It uses natural language processing, a technology that analyzes speech for meaning and syntax, and translates this into actionable answers.

Pros of IBM Watson

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  • The platform can reduce reaction times and give users nearly instantaneous access to data. It can be trained to prioritize common requests to optimize future interactions with users. It also has a speedy data discovery capability that helps process millions of data points promptly to get on with the work that matters most.
  • Organizations can anticipate and prevent disruptions by identifying potential issues in workflows that can cause long-lasting damage to an organization using AI and pattern identification.

Cons of IBM Watson

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  • Some users reported that the platform has a steep learning curve that can be challenging for beginners.

Breakdown of core features

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Natural language dialogue

IBM Watson has an extensive range of language processing techniques to have effective conversational partners. Users can perform queries in plain language and the system will carry on a natural language dialogue to facilitate intuitive searches. The system can convert spoken words to text as well as written text to audio.

Simplified analysis

The platform uses automated analysis techniques to simplify the roles analysts must play in the data analytics process. Businesses can build advanced predictive models with the bare minimum requirements. IBM Watson offers an automated predictive analysis service that automatically surfaces the driving outcomes. The platform rapidly understands what data wants to convey using automation.

Watson Discovery

Watson Discovery is an advanced AI feature that offers smart document understanding and lets users visually label text in documents and incorporate structured understanding.

Dashboards and visualization

IBM Watson has customizable dashboards that enable users to interact with data in real time as well as collaborate on visualizations. Data discovery and analysis via visualization are accessible with single-click exploration.

(Last updated on 02/02/2022 by Liz Laurente-Ticong)

Quick Facts

  • Industry Specialties
    All Industries
  • Pricing
  • Works Best For
    Any Sized Businesses




  • Natural Language Dialogue
  • Simplified Analysis
  • Automated Predictive Analytics
  • Accessible Advanced Analytics
  • One-click Analysis
  • Smart Data Discovery
  • Self-service Dashboards
  • Speech to Text
  • Text to Speech
  • Visual Recognition
  • Concept Insight
  • Trade-Off Analytics


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  • Intercom
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