Improving Risk Evaluation Through Advanced Analytics
The data we generate and copy annually doubles in size every two years, and IDC says it will reach 44 trillion gigabytes by 2020. That
The data we generate and copy annually doubles in size every two years, and IDC says it will reach 44 trillion gigabytes by 2020. That
Machine learning will only become more commonplace at enterprise level, but knowing the difference between black and white-box models is crucial to make the right
If organizations could only augment blockchain’s strengths—its immutability, security, and decentralization—while addressing its latency and scalability issues, it could become the vaunted enterprise tool it
Distinct sub-categories have branched off of the traditional data management industry over the last several years as well. These include tools for metadata and master
There is a golden rule for analytics and data science. Your results are only as good as the data that you work with. Essentially, it’s
This post presents some common scenarios where a seemingly good machine learning model may still be wrong, along with a discussion of how how to
For decades, technology has been the first lever of transformation for modern companies willing to improve their effectiveness, optimize processes or automate heavy and repetitive
With traditional TV viewing on the decline, we discuss several ways Big Data and Machine Learning can assist with online video, including redefining user recommendations,
Is it time to standardise big data technologies? The once siloed, inaccessible, and mostly underutilised data has now become crucial to enterprises for success. And
Walmart and Microsoft recently announced a five-year strategic partnership to further accelerate digital innovation in retail. This comes as a major announcement both for observers
The use of digital technology for storytelling is not limited to the medium itself. The creation of stories is also changing visibly through the use
Clustering is a Machine Learning technique that involves the grouping of data points. Given a set of data points, we can use a clustering algorithm to classify