Machine Learning
Machine learning is Big Data being used at its most extreme level, processing vast and disparate data sets at a machine level to find patterns buried within, producing insights beyond human recognition.

The Rise of 5G: A Culture Shift in Data Analytics
Over the last several years, the global database market has made significant strides toward leveraging real-time information. As telcos and other industries prepare for the transition to 5G, it’s apparent that real-time data analytics are key for organizations looking to capitalize on the promise of 5G. Although the current

Machine Learning to Mineral Tracking: The 4 Best Data Startups From CUBE Tech Fair 2018
Great tech events often feature a stunt or two that attendees will be talking about long after the conference hall has closed its doors; on this front, CUBE Tech Fair 2018 certainly delivered. Attendees got to witness an audience member pilot a drone with his mind (thanks to Emotiv’s President

How Semantics Technology Is Taking the Risk Out of Hiring
Big data these days is a lot like the Wild West – an untamed, vast vista with untold resources ripe for the plucking. More of it keeps coming; this year, more data will be created than has ever existed before – much of it unstructured. By 2020, forty-four times more

Machine Learning for Connecting Organizations: A Conversation with Roger Gorman
In the 1990s, anthropologist Robin Dunbar hypothesized that the maximum number of people an individual can personally know and remember is 150 — Dunbar’s number. The specific figure is debated, but it is common sense that the human cognitive capacity to understand relationships at scale has a limit. The larger

Predictive Maintenance: Why It’s Important and How To Implement It
For those companies who have been collecting machine data for years, an incredible opportunity exists in making this data actionable. Utilizing actionable data can offer an invaluable competitive advantage by enabling companies to streamline operational processes, optimize demand forecasting and better understand their customers’ propensity to buy. In particular, predictive

Why You Need Python Machine Learning to Build a Recommendation System
Recommendation systems are ever-present in our lives today. The largest web giants – such as Google, Facebook and Amazon – use algorithms to help you find search results most relevant to you, based on your previous searches and similar data from other users. In fact, pretty much any platform that has

Machine Learning & Data Analysts: Seizing the Opportunity in 2018
Undoubtedly, 2017 has been yet another hype year for machine learning (ML) and artificial intelligence (AI). As ML and AI become increasingly ubiquitous in many industries, so does the proof that advanced analytics significantly improve day-to-day operations and drive more revenue for businesses. Yes, it’s true – enterprises worldwide have

Making Better Economic Forecasts with Machine Learning
GDP forecasting for the world’s major economies is no easy task, but new tools and ideas are always offering us ever more pragmatic insights. For that reason, I am very optimistic about the possibilities that machine learning opens up for us in macroeconomic forecasting. In my work, I try to

Data Science is Helping Zalando Learn Languages
As a research scientist at the German online retail giant Zalando, Dr. Alan Akbik is an expert in Natural Language Processing and Data Extraction. In his work for the company, which at any given moment is handling massive numbers of online transactions in multiple languages, Akbik helps unveil unique insights

Conversational commerce: from hype to reality
The standard user flows that currently dictate our interactions with computers are still quite limited, and are only a few years away from becoming unrecognizable. The process of changing this dynamic has already begun in the form of conversational interfaces. They will soon revolutionize how humans interact with machines. Just