Big data analytics can make sense of the data by uncovering trends and patterns. Machine learning can accelerate this process with the help of decision-making algorithms.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Data Analysis: Applying statistical and machine learning techniques to analyze data. Data Visualization : Creating visual representations to communicate insights effectively. Data scientists play a ...

The growth of AI and machine learning (ML) will present opportunities to automate tasks like cleaning large datasets, data pipeline management, provisioning, model training and basic analysis.

However, CPU intensive activities such as big data mining, machine learning, artificial intelligence and software analytics is still being held back from reaching its true potential. Even with ...