Back Industry News

30 Fun Ideas for Starting New AI Businesses and Services with Watson Posted on Oct 10 - 2018

Share This :

In our recent reviews of historical Watson and the modern Watson of today we concluded that IBM’s Watson Group may have the first or at least the current strongest comprehensive AI platform.  This is the first time that we know of that all three elements of AI have been brought together in a single user friendly platform: image processing, text and speech processing, and knowledge retrieval.

This is not so much a platform for data scientist to use to expand the capabilities of AI as it is a platform for business users (with the aid of data scientists) to exploit the capabilities of modern AI by building new products and services.

To wrap up this review of Watson, we wanted to provide some thought-starters on what new services or even new businesses you might build on Watson.

Oh, and regarding new businesses, did we mention that developers who join the Watson Ecosystem are eligible to become a Watson “partner” with a shot at the $100 Million funding IBM is making available to startups plus support and access from IBM business and technology advisors.

Defining the Opportunity in General

Deciding whether or not Watson is right for your idea is simple.  The problem you define will ideally require all four of these capabilities:

  1. Understand:  analyze and interpret all of your data, including unstructured text, images, audio and video.
  2. Reason:  provide personalized recommendations by understanding a user's personality, tone, and emotion.
  3. Learn:  utilize machine learning to grow the subject matter expertise in your apps and systems.
  4. Interact: create chat bots that can engage in dialog.

Another way to look at it is from the component standpoint.

The Knowledge Base

There must be some reasonably large body of knowledge you possess that is sufficiently complex that it’s difficult for any one person to fully grasp.

A person must need the information and be asking the question.  If this was machine-to-machine there would be no need for the NLP processing and the questions would presumably be much less complex.

On the simple end, this might be all the possible rules and variations on how to set up a new account in a bank or how to order or return a product on your ecommerce site.  On the complex end this may be all the possible symptoms, diagnoses, and procedures for a medical condition or potential failure and repair procedures for a complex device.  On the really complex end, this could be all the known chemicals and how science allows them to interact in multiple combinations. View More

x

Get the Global Big Data Conference
Newsletter.

Weekly insight from industry insiders.
Plus exclusive content and offers.