Be more effective with your office performance(QUADRANT)

The benefits of machine learning also known as Artificial Intelligence cannot be over emphasized. Its benefits to effective work execution is limitless. In an organisation where much work needs to be done and done within a given time frame and effectiveness is required, such organisation needs the integration of AI in their work force. This is because AI by passes all human incapability’s in work execution. Now let’s look at how AI or machine learning helps companies do more work. Artificial intelligence ensures that work is done at a very fast pace without any distractions as seen in humans, it also ensures more adequate work load is performed without any errors. Also, artificial intelligence makes more accurate decisions even when it has been over worked or been active for a very longer period of time.

All these benefits of artificial intelligence is not yet being utilized by many companies. This is solely because the amount of data to be fed in these machines are not readily available to the small companies or new start-ups. Most times, there are not enough fund to purchase the data required and other times, regulations make data hard to source a good example can be seen in the new GDPR compliance now applicable. Most companies might be afraid of sourcing data’s so as to avoid going against these regulations. Another reasons why this is not effectively utilized is that fake available data are more than the real ones and these fake data’s, destroys the whole system.

All this is a thing of the past as Quadrant with the introduction of authentic data protocol seems to be making the acquisition of correct big data’s available to companies who would want to use AI in their companies for more effective results. Now how does AI help the fast-growing companies? With Quadrant making available these datas needed by companies, it thereby encourages more companies to utilize AI as AI ensures fast decision-making process in companies. This simply means that with AI, the decision-making process becomes faster than it was or used to be under humans. An example of a scenario of fast decision-making process through the use of AI can be seen in the oil company where their AI powered pricing model, changes gas price automatically according to demand thereby improving their margin by 5%. This action is not propelled by human but rather machine algorithms.

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