Machine learning (ML) is an important tool for the goal of leveraging technologies around artificial intelligence. Because of its learning and decision-making abilities, machine learning is often referred to as AI, though, in reality, it is a subdivision of AI. Until the late 1970s, it was a part of AI’s evolution. Then, it branched off […]
The Future of Data Engineering
A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]
Cloud Computing Trends in 2022
The global business environment has recently changed in many ways, from the pandemic to international supply chains issues and so many others, how we work and shop will likely never be the same. As a consequence, acceptance and use of cloud computing technologies has accelerated significantly – with eCommerce and working remotely as two cultural […]
Machine Learning for Organizations: Where Is It Now?
Machine learning (ML), a branch of artificial intelligence (AI), was sometimes referred to as “cognitive computing” in the past, and certain academic circles still today. Machine learning applications have been used for decades to automate complex human tasks that require analytic thinking, but recently the technology has expanded to encompass more business functions. Advanced ML […]
Data Architect vs. Data Engineer
Data careers are becoming increasingly important and popular all across the globe, simply because “data” is the new currency of the data economy. The pandemic gave the needed push to accelerate the digital transformation of global businesses, and currently, the primary market differentiator is an enterprise’s data infrastructure readiness. This data infrastructure comprises systems, processes, […]
A Brief History of Neural Networks
In the last few decades, neural networks have evolved from an academic curiosity into a vast “deep learning” industry. Deep learning uses neural networks, a data structure design loosely inspired by the layout of biological neurons. These neural networks are constructed in layers, and the inputs from one layer are connected to the outputs of […]
Knowledge Graphs for Robust Data Governance
More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing […]
Artificial Intelligence, Machine Learning, and Data Protection
Artificial intelligence and machine learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of big data, and to secure and protect it. The challenge is how to maximize the use of big data, while simultaneously safeguarding […]
A Brief History of Data Science
The term “Data Science” was created in the early 1960s to describe a new profession that would support the understanding and interpretation of the large amounts of data which was being amassed at the time. (At the time, there was no way of predicting the truly massive amounts of data over the next fifty years.) […]
Case Study: Centrica Succeeds with Data Discovery at Scale
“When you’ve got a mass of data, how do you analyze that data and get to a point where you can get the gemstones, the diamonds out of it?” Mike Young, Chief Information Officer with Centrica, knows what it’s like to wade through a sea of petabytes and terabytes to find value. Centrica is an […]