lördag 2 april 2016

Big data and machine learning – is the glass half empty?

Knowledge Acquisition
Figure 1 Capabilities of AI in context by data types
From CIO
Artificial intelligence is currently making a resurgence since the 1990s. Today, the focus is on machine learning and statistical algorithms. This shift has served AI well. Since machine learning and statistics provide effective algorithm solutions to certain kinds of problems, such as board games, spam detection, voice and image recognition, etc.

How is AI different today from 20 years ago? AI 20 years ago was focused on what is known as logic based AI or Knowledge Representation (KR). As any emerging technology, it became overhyped and over promised. The tools and frameworks to make KR successful never really materialized until recently.

As a technology decision maker, all the vocabulary of artificial intelligence might be a bit overwhelming. In Figure 1, starting from the bottom going up illustrates knowledge acquisition capabilities from a data usage perspective. By no means does this represent all the approaches to achieving an AI solution, but rather it illustrates how big data fits into the AI picture.