AI/ML & DATA

Traditional AI/ML
for Data Analytics

Unlock hidden opportunities and connections in the data you already have
Away from the flash of Generative AI, the workhorse of AI and Machine Learning is still the flat-out analysis of data to get meaningful results. That includes using machine learning techniques to analyze data and predict outcomes, from customer behavior to financial trends. It also provides actionable insights so you can make informed decisions and stay ahead of the competition. Traditional Machine Learning and Data Analytics—that is, both “classical” techniques such as regression and the “deep learning” techniques of neural networks—are still the foundation of most ML projects.

Recommender Systems

You can use AI to predict your customers’ preferences and suggest products, services, and information to them, all based on their past behaviors. Recommender systems give your users a better experience and increase sales for you by showing content that customers are more likely to find interesting and relevant.

Sentiment Analysis

You need to understand customer feelings about your products and services so you can make better business decisions and improve your interactions with customers. We can help you use AI to analyze text to determine the sentiment behind it, categorizing opinions in reviews, social media, emails, and anywhere customers leave their remarks.

Image / Object Recognition

You need to understand customer feelings about your products and services so you can make better business decisions and improve your interactions with customers. We can help you use AI to analyze text to determine the sentiment behind it, categorizing opinions in reviews, social media, emails, and anywhere customers leave their remarks.

Machine Learning

Financial Analysis
Predictive Analytics

Deep Learning

Image Recognition
Natural Language Processing

Generative AI

Text → Text
Text → Image
Text → Video

AI

Expert Systems