AI research has been growing by leaps and bounds. There are new firms being created, working towards ML and AI applications, and expounding on our knowledge base at such an incredible rate. These applications will be placed in use with various industries, working towards autonomy. There are new and exciting applications for this as the thought leaders work through the use cases. With these and as time continues to push forward the costs for this technology will decrease. This has been noted in the past with other technologies, as these were designed and sold to markets in increasing numbers. Initially, the simple hand-held calculators were very expensive to the point where only a limited number of people could afford one. This is the same cycle as video players.
One area which is being explored at greater levels has been the opportunity for ML and AI to generate data at increasing rates. As a civilization, we need data to exist and grow. Without this, we would grow at an exceptionally slow rate and without guidance. The inclusion of greater amounts of data assists greatly with decision-making and looking towards the future. Think of this as part of the decision-making process as a goal. With calculating an average, the more data points-assists the user with calculating the average to a closer measure.
ML and AI have the direct ability to accumulate this vast amount of data and analyze it for the humans so very quickly, even compared to humans with the computer assisting. The humans are still needed, however, to add the intuitive nature for the analysis, looking for and at anomalies or unusual trends. AI will be a tool to supplement our innate abilities and will be used where the machines work best.
About the Author - Charles Parker, II has been working in the info sec field for over a decade, performing pen tests, vulnerability assessments, consulting with small- to medium-sized businesses to mitigate and remediate their issues, and preparing IT and info sec policies and procedures. Mr. Parker’s background includes work in the banking, medical, automotive, and staffing industries.
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