How does AI works?

AI technology is a complex and extremely useful for businesses. HubSpot has incorporated AI right into its software to augment already existing workflows.

HubSpot’s AI can uncover team performance by monitoring sales calls and providing insight to the team. It can also optimize content or create transcripts of recordings and calls.

If AI is a complex but necessary technology, how does it work? To put it simply, AI works by combining large data sets with intuitive processing algorithms.

 AI can manipulate these algorithms by learning behaviour patterns within the data set. It’s important to understand that AI is not just one algorithm. Instead, it is an entire machine learning system that can solve problems and suggest outcomes.

• Let’s look at how AI works step-by-step.

Input

1. The first step of AI is input. In this step, an engineer must collect the data needed for AI to perform properly.
2. Data does not necessarily have to be a text input; it can also be images or speech. However, it’s important to ensure the algorithms can read inputted data.
3. It’s also necessary to clearly define the context of the data and the desired outcomes in this step.

Processing

1. The processing step is when AI takes the data and decides what to do with it. 
2. While processing, AI interprets the pre-programmed data and uses the behaviours it has learned to recognize the same or similar behaviour patterns in real-time data, depending upon the particular AI technology.

Data Outcomes

1. After the AI technology has processed the data, it predicts the outcomes. This step determines if the data and its given predictions are a failure or a success.

Adjustments

1. If the data set produces a failure, AI technology can learn from the mistake and repeat the process differently. The algorithms’ rules may need to be adjusted or changed to fit the data set.
2. Outcomes may also shift during the adjustment phase to reflect a more desired or appropriate outcome.

Assessments

1. Once AI has finished its assigned task, the last step is assessment. The assessment phase allows the technology to analyse the data and make inferences and predictions. It can also provide necessary, helpful feedback before running the algorithms again.
2. AI is extremely beneficial in business. However, choosing the right AI technology for your business needs is important.