Technology increases efficiency, but can technology go too far?
DEBORAH AGBOOLA Deborah is an inquisitive writer with a forte in technical writing. Her desire to enlighten and inform gives her the extra edge of structuring her writes to an easily understandable form, while retaining its technicality.
It is no news that the cannabis industry has been driving extensive developments to curb the difficulties in the niche and meet the modifications in legislation governing their sale and cultivation. With the world automating every space, the cannabis industry is not left out in this movement. Several investors are already pouring billions of dollars into the sector, especially in the artificial intelligence space, integrating it into the horticulture and retail categories.
THE RISE OF ARTIFICIAL INTELLIGENCE
The AI concept was born from a question posed by the mathematician Alan Turing, “Can machines think?” Since its inception, AI technology has evolved and is rapidly merging into our lives and businesses.
Artificial intelligence is a field in computer science that involves creating machines capable of performing tasks that require human intelligence. There are several branches to this niche, with the most significant being the machine learning/deep learning sect, which has shown prime advancements and has created a paradigm shift in every sector since its integration.
TECHNOLOGY CONTROLLED SYSTEMS START WITH BASIC ECONOMICS
According to Economics, every society faces three primary challenges in the struggle to meet demands and eliminate scarcity. They are:
- What to produce,
- How to produce,
- And, for whom to produce
Without considering these before initiating the production chain, the probability of attaining maximum profit is relatively low; hence, the positioning of experts at strategic positions in industries to conduct critical marketing analysis.
However, regardless of how competent the professionals are, or how careful analyses are conducted, human error remains a factor in these events; thus, using artificial intelligence is invaluable. Scaling down the discipline to the cannabis industry, its applications can be sub-categorized into the following:
