Tag Archives: statistical probability
10 Jun Knowledge is the New Foundation for Success
Joe Roushar – June 2020 Retooling for The Beginning of a New Age This year, 2020 will be the turning point in AI adoption because successful implementations will be available to small and large organizations without breaking the bank. Success will be measured in specific business value achieved. Affordability will dramatically improve because of AI […]
08 Nov AI-BI-CI: Steps to Better Decisions
By: Joe Roushar – November 2018 AI: Artificial Intelligence Can you understand the things you observe and use them to make better decisions? Random colored dots that seem chaotic up close, when arranged by an artist in a pointillist painting, can become richly meaningful and appealing. The dots may have great variety in color and […]
07 Jan What’s in a Decision
A decision by any other name would feel as risky Take any class of software and you can find some structures or processes that you can associate back to some human-like structure or processes. To keep this more simple and relevant, I am focused on looking at systems that are fundamentally designed to replicate more […]
29 Dec Unhuman Expertise
Artificial Intelligence has suffered from a persistent scale problem: up to now, many techniques have been shown to work well and reliably in narrowly defined domains, but outside the domains of their expertise, they fall apart very quickly. No techniques of which I am aware, have exhibited common sense in the way we expect humans […]
23 Dec Visual Knowledge Dimensions
Visualizing knowledge in graphs and charts empowers decision makers by giving them actionable knowledge in understandable format. To make this most effective, the labels on the graph must provide clearly defined context cues that make it easy to interpret. Converging data strategies using Big Data (Hadoop, NoSQL, Cassandra, MapReduce…) can change the way we access content […]
09 Jun In Search of Depth and Breadth
Depth-First Search Search is one of many functions needed in intelligent systems. Web search in systems like Google, Bing, Yahoo and Alta Vista use complex algorithms to help you find the information you want based on words. Words are patterns of letters strung together in a unique way. Searching is a kind of pattern matching. […]
15 Mar The Random Hamlet
For building an automated language understanding and translation system, I believe that adding random factors to the model for “fuzzy” reasoning is needed and important. The questions are: How do we use random factors to improve the outcomes of the process? Where do we insert random factors into the model? How do we implement random […]
14 Mar That’s so Random!
Random Probability Theory Some things are difficult to predict, and some are nearly impossible to predict. The further a thing gets from predictable, the more nearly it approaches randomness. It may seem silly to try to define chaos or randomness or anything that spends its entire existence trying to defy definition, but some of us […]
13 Mar Probability and Expectations
The sun is pretty likely to rise tomorrow – you can have confidence in that, but it is sometimes said that “there is no guarantee.” Scheduling meetings tomorrow based on the sunrise assumption is a safe bet, but there may be any number of other things that interfere with the meeting. Life is filled with […]
17 Mar Intro to Cybernetic Models
Are you my Motherboard? From Eliza to Watson, Jeeves, Siri and Alfred, people have been naming their computers. Some systems are named after their inventors – like Wolfram Alpha and its siblings. Who is JARVIS? Just Another Rather Very Intelligent System? These attempts have, in their own little ways, touched our lives. But we are still waiting on the cusp of an innovation that will […]