6 Essential AI Terms Used by Artificial Intelligence Consulting Companies


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@scalrScalr.ai

Machine Learning and Data Science Consulting firm focused on increasing revenue for businesses

If you’re looking to use artificial intelligence consulting services, you will need to understand these 6 AI terms to get the most out of your consultations. 

1. Data Wrangling 

Data wrangling is the process of taking raw data and converting it into a different form or schema for use in machine learning or AI. This will be one of the early steps you do with any artificial intelligence consultant to take data you’ve collected and use it to form any models needed for your software solutions.

Many of the processes used are things like data importing, data structuring, cleaning bad data, and processes data to create more useful fields.

While this may feel like a novel part of your journey to implement ai software for your business, it is probably the most important and your input will be needed to guide the new consultant through your data. 

2. Data Imputation For AI Models

Like we discussed above, most datasets contain some fields that are missing values, and create a sparse feel. While the quick solution to this is to just drop the field or feature completely from the dataset, normally this is a horrible solution, as any data a consultant can get to start with is important.

In this case, most artificial intelligence consulting companies will use data manipulation techniques to add data to the missing values that make the most sense, given the rest of the data.

The most common technique is mean imputation, where you take the mean of the existing data in the field and fill in the blanks with this. You should see lots of data science consultants use this as it’s a great way to fill in blanks while not affecting the current schema of data. 

3. Data Partitioning

In many models using AI or machine learning, data is processed into groups to train and test models. Many artificial intelligence consulting companies will ask you to provide a certain amount of data, whether that be file size or rows, to make sure they have enough data to split into these groups.

Sometimes they will work with you to collect data in the future to use as a testing set instead, allowing them to add to an already established database. Here at Scalr.ai, we try to mix both in, especially if future data is easily obtainable through streams that are easy to handle. 

Many artificial intelligence consulting services use machine learning or data science models and algorithms that use features (also known to you maybe as fields) and final known targets to find a relationship between the two. You will probably see your ai consultant use at least one of these in your ai software solution.

An example of this would be a model that takes in these fields of a house: square footage, # of floors, and doors. With the target variable being the value of the house that is already known. You would use one of these models to predict the value of future houses.

As you can probably guess, this is the process of using that same input data from above, but reaching some conclusion without the use of a target variable.

Usually, this is done because the target variable is unknown, or general information about the data is unknown and we want to start to build some target variables.

Most artificial intelligence consulting companies will use these algorithms to find outliers in data such as data points that might be a red flag in a security system because they are out of a range. 

6. Evaluation Metrics For Models

At the end of the day, you hired someone to build models and algorithms that work and get you results. Evaluation metrics will allow your AI consultant to see real progress in the work they have done, and make decisions about how to adjust to fix any issues.

Most of the time you’ll hear terms like accuracy, AUC, and precision to evaluate these models. This is a good place to learn a little more about how the models in your software will be evaluated.  

Interested in hiring artificial intelligence consulting services? Check Out Scar.ai!

We are a machine learning and ai consulting firm focused completely on building business tools to increase profitability for clients.

We specialize in natural language and computer vision systems that allow us to build software solutions for all kinds of industries, anything from online retailers to medical apps to building supply companies.

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