Artificial Intelligence (AI) Capabilities at a Glance



“Some people call this artificial intelligence, but the reality is this technology will enhance us. So instead of artificial intelligence, I think we’ll augment our intelligence.” —Ginni Rometty

What kinds of things can AI (Artificial Intelligence) do?  That’s one of the first things I wanted to know when I dove into AI a while back.

I remember trying to find a simple list of AI capabilities or “building blocks” so that I could better understand and imagine what use cases might be.

After all, it’s hard to fully explore and exploit what technology can do if you don’t know what the capabilities are.

AI Capabilities are the Building Blocks for Better Use Cases

In the absence of a master map of AI Capabilities, I simply started going through a bunch of real-world use cases with customers looking for patterns.

While this is not a complete list, and it’s not MECE (mutually exclusive, collectively exhaustive), and it’s not official, I’ve found it helpful.

Eventually, I’m sure I’ll organize the building blocks into themes and add some double-click or triple clicks down.  That will really help when it comes to imagining new AI scenarios.

Whenever I need to think through how AI might help create a business breakthrough, or change the game in a particular domain, I use this list of capabilities to remind me some of  some of the stories, scenarios, and insights where I’ve seen AI applied.

I’m also hoping this list of capabilities might inspire others to correct, plug in, or extend.

After all, as Ken Blanchard put it, “None of us is as smart as all of us.”

Ultimately this is a list for leaders or really anyone who want to think more deeply about possible use cases for AI in business, life, school, or whatever.

Let’s start with the short list of interesting AI Capabilities that helps me get my head in the game to imagine new business use cases.

The Short List of AI Capabilities at a Glance

  • Chat Bots
  • Cognitive Search
  • Computer Vision
  • Emotion Recognition
  • Personalization
  • Predictive Analytics
  • Predictive Modeling
  • Recommendation Engine
  • Search Pattern Recognition
  • Translation

The Long List of AI Capabilities at a Glance

  • Audio Pattern Analysis
  • Audio Pattern Recognition
  • Answer Engine
  • Chat Bots
  • Classification
  • Cognitive Search
  • Computer Vision
  • Contextual Marketing
  • Contextualization
  • Emotion Recognition
  • Fault Detection
  • Fault Prediction (Failure prediction, Fault prediction, Predictive maintenance)
  • Fraud Detection (Detect fraud)
  • Fraud Prediction
  • High-Performance Pattern Prediction (Predict high-performance patterns of pros / humans)
  • High-Performance Pattern Recognition (Recognize high-performance patterns of pros / humans)
  • Image Analysis
  • Image Recognition
  • Image Search
  • Maintenance
  • Monitoring
  • Natural Language Generation (NLG)
  • Natural Language Interaction (NLI)
  • Natural Language Processing (NLP)
  • Network Analysis
  • Pattern Recognition
  • Personalization
  • Predictive Analytics
  • Predictive Diagnostics
  • Predictive Maintenance
  • Predictive Modeling
  • Predictive Performance
  • Predictive Sales (forecasting sales)
  • Predictive Weather (forecasting weather)
  • Performance Comparisons
  • Predictive Insights
  • Recommendation Engine
  • Relevancy Engines
  • Search Analysis
  • Search Pattern Recognition
  • Search Personalization
  • Sentiment Analysis (Emotion AI)
  • Speech to Text
  • Subtext Analysis
  • Time Series Analysis
  • Translation
  • Video Analysis
  • Video Pattern Recognition
  • Video Search
  • Visual Analysis
  • Visual Pattern Recognition
  • Voice Analysis
  • Voice Pattern Recognition
  • Weather analytics
  • Weather forecasting

I hope you find my list of AI Capabilities at least somewhat helpful in some way that I can’t even predict (maybe I need AI for that Winking smile

At the least, maybe my lists simply helps you say, “Hey, I knew AI does all that”, and you get you’re “A for the day”.


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