In the geoscience community, collaboration is critical. Different disciplines — engineering geologists, geochemists, hydrologists — need to share their findings with each other to address big questions about the earth. Take climate change. What factors contribute to it? What impact will it have? Oceanographers who study the dynamics of oceans do their work individually […]
Can Your Organization Avoid AI Failures?
Artificial intelligence (AI) initiatives come as businesses enthusiasm for the technology grows, and AI initiatives go as the excitement fades in the face of false starts and little proof of value. It doesn’t have to be that way. Early AI adopters are actually ramping up their AI investments and launching more projects — and getting […]
A Brief History of Master Data
Master data is generally described as essential business data about people, places, and things. Master Data Management or MDM describes a system for managing the data, which is different than the actual data. Master data is not typically transactional data, but in some situations transactional data can be treated as master data. For instance, if […]
Artificial Intelligence and Enterprise Knowledge Graphs: Better Together
At the heart of things, an enterprise knowledge graph supports decision and process augmentation based on linked data. These models of knowledge domains are created by subject matter experts with the help of machine learning algorithms. They live as virtual data layers on top of existing databases or data sets to link both structured and […]
So You Want to be a Machine Learning Engineer?
Ideally, a machine learning engineer would have both the skills of a software engineer and the experience of a data scientist and data engineer. However, data scientists and software engineers usually come from very different backgrounds, and data scientists should not be expected to be great programmers, nor should software engineers be expected to provide […]
Data Governance and Data Quality Use Cases
Given the high volume of erroneous data floating across the enterprise, it is increasingly difficult for industry operators to make business decisions or plan any course of action based on such poor-quality data. Moreover, what’s the point of applying advanced analytics or BI technologies on data that is flawed? A whitepaper titled Getting Ahead of […]
The Internet of Things: Architecture, Edge Computing, Use Cases, and the Future
The Internet of Things (IoT) is not, by itself, a technology. The IoT is the “concept” of connecting electrical devices to the internet. This includes smartphones, washing machines, coffee makers, lamps, and wearable devices. The IoT also applies to the components of machines, such as jet engines or the drills of oil rigs, and is […]
Data Governance and Data Science: What is the Intersection?
With the rising concern surrounding the manipulation of data and misuse of statistical methods in Data Science, it is becoming imperative that strong Data Governance policies and practices are put in place to curb any degeneration of data and the scientific methods used to arrive at data-driven conclusions. Data Governance (DG) is expected to play […]
Graph Databases in the Spotlight
Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist between Kevin Bacon and Audrey Hepburn. Ontologies are a key underpinning, providing a data model to describe things in a database. Metadata and […]
Case Study: CEMEX Works to Become a Data-Driven Company
Digital transformation is alive and well at CEMEX, a global leader in building materials. It started its journey two years ago, evolving from a traditional brick-and-mortar business model to a digital one where customer-centricity is the dominant factor over product-centricity. Now it needs to become an even more data-driven company, where its data powers digital […]