Big Data engineering, when approached strategically, becomes a core enabler of robust data privacy and security.

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. It can categorize the ...

Here is the first example of machine learning boosting the process. Using some of the algorithms mentioned ... how it relates to other data, its flow and to support collaboration and enable good data ...

Data hub may also be a phrase in the running for the 2019 buzzword of the year race. So what's driving this data hub buzz? AI and machine learning ... real-time processing, on-demand ...

There are a number of ways to normalize and standardize data for machine learning, including min-max normalization, mean normalization, standardization, and scaling to unit length. This process is ...

Analytics platforms compete across data processing, visualization, dashboarding, and machine learning capabilities, and all the vendors want to wow customers with their latest capabilities.

If the data is too sparse, it can increase the complexity of the machine learning model. This means that the model will take up more storage space and take longer to process. Beyond this, there are ...

and machine learning have deepened understanding of process operations and product quality in this important arena. Organizations on the leading edge of bioprocess data analytics have already seen ...