Artificial Intelligence and Machine Learning

Created Date Sunday, 14 June 2020
Modified Date Monday, 15 June 2020
Filesize 458 Kilobytes

Process Improvement Using AI Effective discovery of Opportunities

The AI Improvement Idea

Frank Kowalkowski, President Knowledge Consultants, Inc.

While flashy or exotic applications of artificial intelligence (AI) and other related automation approaches, there are a lot of simple AI approaches that operationalize everyday processes making the work easier and more reliable as well as more productive. The best part is it does not take a staff of data scientists to figure out what to use and how to apply the AI solution.

Keeping it simple – pick one technique for now

One of the stumbling blocks in structuring work in an organization is comparing and analyzing processes to see where improvement opportunities are located. Most of the time when consulting firms are called in, they either document the processes or validate existing process documentation and then go through a labor-intensive and expensive effort of manual analysis. Some analysts may use process mining and focus on quantitative factors for the opportunity. However, if you are looking at overlaps, consolidations, or shared work, then AI semantic analytic techniques will help you gain insight in indentifying what to change.

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Created Date Saturday, 07 July 2018
Filesize 490 Kilobytes

Assessing AI Project Risk

Can you assess AI risk?

Frank Kowalkowski, President Knowledge Consultants, Inc.

There is a revolution today regarding artificial intelligence with hot topics like deep learning, predictive neural nets, big data, the digital organization and other technologies and techniques on the business analysis and analytics horizon. While organizations are rushing to take advantage of the accelerating AI capabilities, there is little published about the organization’s value side of the AI use equation. AI must be thought through and planned like any other organization effort. Similar to building business applications, AI is a business organization project that is very technical in nature.

The orderly inclusion of AI into planning is at best very fragmented. AI is not yet mature enough to the point of careful assessment of value to the organization. This is the result of early applications of AI to very specific uses such as stock market analysis and analysis of consumer behavior and some of the more sophisticated uses such as facial recognition, speech recognition and text analysis.. Linking issues or problems to an AI solution requires understanding of both the organization and the AI technology.

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