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IBM Watson Explorer

By John Ward / April 6, 2015 / 1 Comment
I'm going to talk a little bit about IBM Watson Explorer (WEX). A few people have contacted me about what I do at my day job as a Watson Explorer Consultant. Since this is my personal site I don't usually...
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What is IBM Watson

By John Ward / July 24, 2020 / 0 Comments
There is a lot of confusion about what exactly IBM Watson is? I'm going to try to clear that up a little bit in this blog post. I'll go into the history of IBM Watson and what IBM is doing...

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By John Ward / May 13, 2015 / 1 Comment
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By John Ward / August 23, 2019 / 0 Comments
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IBM Watson Discovery Fundamentals Training

By John Ward / October 28, 2020 / 0 Comments
I'm excited to announce that I've released my first course on Udemy titled IBM Watson Discovery Fundamentals. This course is designed to give business and technical users a good high-level overview of the IBM Watson Discovery service. What is IBM...
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What is IBM Watson

There is a lot of confusion about what exactly IBM Watson is? I’m going to try to clear that up a little bit in this blog post. I’ll go into the history of IBM Watson and what IBM is doing today with the Watson portfolio. As you may expect, IBM Watson has changed over the past few years and has grown into an entire product offering.

Note: I worked for IBM for 8 years and had some hands-on experience with various IBM Watson product offerings. I was not involved in the creation of the original Watson or deeply involved in the development of subsequent Watson APIs.

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The Early Days of IBM Watson

IBM Watson started out as a supercomputer that was designed as a question and answer system. The goal was to be able to answer natural language questions with a computer. The name Watson comes from the founder of IBM, Thomas J. Watson. Unlike most “supercomputers” the power of IBM Watson isn’t in the hardware, it’s in the software layer. The natural language processing framework was a really groundbreaking technology. This all started around 2006, I believe.

IBM Watson was one of the biggest investments in IBM history and it’s first big play into the Artificial Intelligence and Cognitive Computing space. To prove the technology of the original Watson Q&A engine the IBM team decided to team up with Jeopardy. In 2011, Watson would take on two of the best Jeopardy players in history: Ken Jennings and Brad Rutter.

To visualize Watson on the set of Jeopardy, IBM came up with an avatar that is now the IBM Watson logo (it’s been simplified in recent years). Watson would be fed the questions in real time, as were the players, and it would have to compute an answer. Watson would provide an answer and it’s level of confidence in that answer.

To make a long story short, IBM Watson ended up defeating the two famed Jeopardy champions and claimed a $1 million dollar prize (which was donated to charity). IBM would use the momentum from Jeopardy to turn Watson into an actual product and market it as an AI solution to businesses.

What is IBM Watson Today?

Obviously the technology of IBM Watson has evolved from its time on Jeopardy. I don’t actually believe that much of the technology from the original Watson was converted into the products that IBM offers today. IBM Watson became a major marketing brand for IBM. They would go on to include all of their Artificial Intelligence (AI), Natural Language Processing (NLP), Machine Learning, and what IBM deemed “cognitive computing” products under this new Watson umbrellas. IBM started to target certain business sectors like Healthcare, Finance, and Legal with it’s new Watson brand.

IBM started an entire division dedicated to Healthcare with a major focus on Oncology. They worked with doctors and developers to try and train a Watson model around cancer diagnoses. It seemed to be a very promising market. However, that effort seems to have been mostly abandoned by IBM today based on staff reduction news and rumors.

IBM had a change in leadership in the CEO position and they doubled down on their cloud offerings. They see this as the biggest growth area of the company and are going head to head with the likes of Amazon, Google, and Microsoft in the highly competitive cloud market.

IBM Watson fits into this cloud portfolio as it has many cloud-based API offerings that utilize the machine learning, NLP, and AI aspects of the Watson brand. Cloud and Cognitive Software (read Watson) is a large part of IBM’s revenue in it’s latest earnings report. This suggests that IBM will continue to focus on Watson as a major part of its strategy.

What Type of Products are in the IBM Watson Portfolio?

Today IBM has several product offerings under the Watson brand. The first one I will mention is the product I am most closely tied to Watson Explorer (WEX). IBM WEX is a search engine based tool that has some NLP libraries built on top of it. It’s an on-premise offering and IBM is moving away from those types of offerings. So it’s future is unknown.

The IBM Cloud is where basically all of the Watson services live. You can actually get started using many of these Watson APIs and hundreds of other services for free. Here are some of the key Watson APIs and what they do:

  • IBM Watson Assistant – Enables you to build conversational chatbot via some web-based tooling and APIs. This is actually a really good chatbot solution and I’ve seen it in practices at many companies.
  • IBM Watson Discovery – This is a cloud bases search engine with NLP, Machine Learning, and Entity extraction built-in. You push your documents to the cloud and they are automatically enriched with these technologies. They also offer a new collection that crawls millions of news articles that you can dissect.
  • IBM Watson Visual Recognition – An API that allows you to pass in images and the AI will attempt to detect what the image contains and give you information about your image.
  • IBM Watson Natural Language Understanding – A service that can extract metadata like entities, concepts, emotions, relationships, and sentiment from text that is passed in.
  • IBM Watson Speech to Text/Text to Speech – These are two APIs that do basically what the name suggests. It will translate speech into text and text back into speech. This could be used for an automated phone system for example.
  • IBM Watson Personality Insights – This API can analyze information about people, such as social media postings, and provide you with information about their personality.
  • IBM Watson Studio – A tool that allows you to embed AI and Machine Learning into your business. You can create custom models that can be used to enrich your data.
  • IBM Watson Knowledge Studio – You can basically train and AI on the language of your specific domain. You can teach it what words related to other words and in what way. For example, Ford is related to Focus as the bran for the car. This data can be pushed back into the Watson Discovery service.
  • IBM Watson Compare and Comply – A specialized tool for analyzing governing documents, such as contracts.

Once you have an IBM Cloud account you can explore all of the IBM Watson products.

The Future of IBM Watson

There are some mixed reviews of IBM Watson as a technology and business model. First of all, many other cloud providers are offering similar APIs to the Watson APIs. I’ve also read several articles that see IBM Watson as a failure. However, there are just as many, if not more, that showcase the value of the Watson brand and technology. So the reviews are mixed.

As I mentioned above, the cloud is IBM’s core focus area for growth in the near future. IBM Watson lives on the IBM Cloud, therefore, I believe Watson will continue to be a major focus area for IBM. AI-based solutions will continue to be a huge market and all businesses will eventually invest in some type of AI/Machine Learning technology.


If you are interested in taking a leap into this technology I recommend that you simply sign up for an IBM Cloud account and test out some of these technologies for free. You can decide if they are useful for your organization without even paying for many of these solutions. If you do decide to purchase the more advanced plans for IBM Watson APIs they charge in a way similar to all other cloud providers. It’s based on the amount of data/calls you make and you pay fractions of a cent per call.

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John Ward

I've been in working in the tech space since about 2004. I've spent time working with Artificial Intelligence, Machine Learning, Natural Language Processing, and Advertising technology.