Traditional AI Project Type can mostly fall into Analytics, Machine Learning and Deep Learning.

Analytics is fundamental to any AI project and can include Descriptive, Predictive, Diagnostic or Prescriptive Analytics.

Machine Learning which deals mostly with structured data can include Supervised Learning, Unsupervised Learning or Reinforcement Learning type of project.

Deep Learning which uses Neural Network with unstructured data can include Computer Vision or NLP based project.

Analytics is fundamental to any AI Project and depending upon whether business problem involves structured data where Machine Learning can be the option or if it is unstructured data where Deep Learning using Neural Network is best option.

SMART Street AI provides following Analytics consulting service via Visualization platform such as Tableau, Power BI and Google Data Studio.

Descriptive analytics which helps business to extract insights from data and get answer to What has happened?

Diagnostic analytics which helps the business in solving critical challenges by answering if something has happened, then why did it happen?, and the root cause behind that. 

Predictive analytics is all about forecasting. It helps businesses utilize the insights-driven from descriptive and diagnostic analytics to predict what will happen next? Also by leveraging statistical and machine learning models.

Prescriptive analytics advises business on all possible outcomes by answering what should be done? to address the business problem.

SMART Street AI provides following Machine Learning consulting service based on framework such as scikit-learn.

Supervised Learning is technique in which models are trained via labeled data and it is task driven. It handles prediction for business problems which are either Regression or Classification type of problem.

Unsupervised Learning is a technique in which unlabeled data is used to identify patterns and it is data driven. It uses Clustering and Association to solve business problems related to segmentation, grouping or relationship in given dataset.

Reinforcement Learning is a technique in which it works on feedback data and it is experience driven.

SMART Street AI provides following Deep Learning consulting service based on framework such as TensorFlow/Keras and PyTorch.

Artificial Neural Network mostly deals with Regression, Classification and Clustering problem with not much large size of data along with some form of CV and NLP related problem.

Convolutional Neural Network uses CV which is short form for Computer Vision and deals with Image Classification, Object Detection, Image Recognition and Anomaly Detection.

Recurrent Neural Network uses NLP which is short form for Natural Language Processing and deals with Text Classification, Language Translation, Speech Recognition and Chatbot.