AI & Data Science

AI & Data Science

What is AI & Data Science?

AI and Data Science are interdisciplinary fields that use scientific methods, algorithms, machine learning and systems thinking to either extract knowledge and insights from structured and unstructured data, or to predict instances of data. AI and Data Science involves a combination of statistics, mathematics, computer science, and domain knowledge. Data scientists collect, clean, analyze, and interpret large volumes of data to uncover patterns, trends, and correlations that can be used to inform decision-making and solve complex problems. A key technique in Data Science and AI is machine learning which is used in predictive analytics.

At BrainboxBI, we specialise in crafting innovative solutions tailored to solve specific problems. Our projects span a diverse range of industries and applications from exploratory data analysis to AI model deployment. We are committed to delivering end-to-end solutions that drive actionable insights and transformative outcomes.

AI use cases we have worked on

Natural Language Processing (NLP)

NLP is used for various tasks, including Named Entity Recognition, text classification, sentiment analysis, and document summarization

Churn forecasting

Reducing customer churn by just 0.5% can save a company millions over the long run due to the compounding effect. We help you identify customers at the risk of churn

Customer Lifetime Value & Costs of Acquisition

Any SaaS business needs to be able to quantify customer value to evaluate business profitability. We help you evaluate these KPIs

Timeseries forecasting

We use auto-regression combined with external data factors to predict temporal data. We have studied website traffic to detect anomalies and unusual patterns

Healthcare Data Science

AI can be a powerful tool to improve patient diagnoses, monitoring and outcomes. We carried out projects that devised innovative quantitative measures of patients' health

AI Training

We participated in the training of bachelor and PhD student graduates to help them transition from academia into high-calibre data scientists capable of tackling commercial projects

Computer Vision

We have developed unique computer vision techniques to extract information from handwritten documents as well as optical character recognition for intelligent automation

Statistical analyses

Our expertise in statistical analyses spans a wide range of applications, including A/B testing, impact of interventions research, and robust experimental design

Optimisation problems

From revenue management to resource allocation - we have developed sophisticated algorithms meticulously crafted to enhance efficiency and streamline processes

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