Tag Archives: AI
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 […]
29 Jan Will Computers Ever Understand Me?
By: Joe Roushar – January 2020 I think I understand Ideas of devices becoming sentient need not be frightening. Thinking and being seem to be tightly bound: Je pense, donc je suis (Descartes 1628). Some have riffed on René’s theme to suggest the idea that sentience is defined by symbolic thought and expression (language), but […]
01 May Intent Models for Competitive Advantage
Joe Roushar – May 2019 Competitive Advantage Is your organization ready for a future with significantly more advanced and competitive information management strategies? Are you ready for the inevitable turbulence that accompanies changes: even those that are mostly evolutionary, but some revolutionary? It’s time for Enterprise Information Management (EIM) to grow up and assume its rightful […]
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 […]
12 Jul Anatomy of Insight: Prediction and Qualitative BI
Joe Roushar – July 2018 Not just any body Body is a versatile word as it has broad application. In the context of astronomy, we describe celestial bodies. In topographical mapping, there are bodies of water. But in my interactions, I most often encounter “body” in the context of human physiology. The word, “body” implies […]
04 Jul Cognitive Multi-Processing
Joe Roushar – July 2017 Divide and Conquer Swarm computing applications, with large numbers of autonomous agents are beginning to appear and deliver stunning results. The combination of autonomy, simple tasks and parallelism has great power. Today I’ll address parallel computing and models for breaking down computational problems. I will not address the question of autonomy today, […]
09 Jan 2017 – The Year of AI
Joe Roushar – January 2017 Intelligent but Artificial Recently, January 5th, 2017, on my ride into work I was listening to BBC World Update with Dan Damon, as I often do, and heard him interviewing someone about the new artificial intelligence (AI) app for the British National Health Service from Babylon Health (similar story on […]
27 Jun Enterprise Meta-Model Governance
Joe Roushar – June 2016 Is knowledge important to you or your organization? What value does it bring? Are there types of knowledge that are more valuable than others? Do you know where your knowledge is right now, and what it’s doing? Business Knowledge comes in multiple flavors. Business Information systems are used to process data or […]
20 Oct High 5s of Intelligent Information Modeling
Joe Roushar – October 2015 Quantitative data is easy to make into useful information by establishing correct associations and providing human experts with the right slicing and dicing tools. But in its native format, data is not independently meaningful. Many qualitative content sources are narrative, born as whole information. Such content is advanced beyond data because of the built-in associations, but inevitably […]
27 Feb Six Reasons Businesses are Implementing Semantics
The wave is coming. I spent some quality time last summer in a large consumer products manufacturer in Cincinnati helping architect semantic capabilities to automate tasks in chemical compliance for selling a large number of products in dozens of countries, each with hundreds of rules that apply to thousands of chemicals constituents. You can imagine the combinatorial explosion. […]