Practicing Data Science

Click to learn more about author Rosaria Silipo. There are many declinations of Data Science projects: with or without labeled data; stopping at data wrangling or involving Machine Learning algorithms; predicting classes or predicting numbers; with unevenly distributed classes, with binary classes, or even with no examples at all of one of the classes; with […]

Analytics vs. Data Discovery

Newer and faster data channels are enveloping the digital business landscape, so business operators and users are becoming more demanding about what they want from their data. Now, the traditional Business Intelligence (BI) platforms are no longer sufficient to address all types of business queries; users are increasingly looking toward the Data Discovery capabilities of […]

Getting Back to the Basics: What is Machine Learning?

Click to learn more about author Seth Deland. Machine Learning seems to be the engineering industry’s latest buzzword – a technology with astonishing potential, yet one that many businesses struggle to understand, let alone embrace.  Just last year, fewer than one-third (23%) of businesses had adopted any level of Machine Learning automation, and only 5% reported […]

The Impact of Data Quality in the Machine Learning Era

A significant issue in Enterprise Data Management today is Data Quality, because business data requires thorough cleansing and preparation to be used as input to any Analytics or Business Intelligence system. In an era of automated and Self-Service Business Analytics, Data Quality has assumed even more importance as average business users do not often have […]

Machine Learning vs. Deep Learning

The debate on Machine Learning vs. Deep Learning has gained considerable steam in the past few years. The fundamental strength of both these technologies lies in their ability to learn from available data. Though both of these offshoot AI technologies triumph in “learning algorithms,” the manner in which Machine Learning (ML) algorithms learn is very […]

Data Scientists and Machine Learning Algorithms for the Data-Driven World

Artificial Intelligence (AI) and Machine Learning are projected to become mainstream technologies in the coming years, and are clearly already having a significant impact across many industries. How exactly is this happening? How are Data Scientists using their skills to develop better Machine Learning algorithms? Where are these innovative technologies going in the future? With […]

Your Processes are Broken: Here’s How to Fix Them with Data

Click to learn more about author Alex Rinke. In his landmark 1996 HBR essay entitled “What is Strategy?” Michael Porter famously stated: “Operational effectiveness competition shifts the productivity frontier outward, effectively raising the bar for everyone.” This adage has never carried more weight than right now, in the digital age. Global players like Amazon have perfected […]

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