Many organizations see the hybrid cloud and multi-cloud models as critical to their present business requirements, and to their future ones too. Organizations are paying more attention to the use of containers to help with simple and automated portability and scaling that can play an important role in accelerating cloud projects and deliverables; to cloud […]
The Data Analysts of the Future: What Will They be Doing?
The need for citizen data scientists — people who can use real-time, data-powered insights — will be on the rise with the widespread availability of data and AI-enabled, self-service analytics platforms. So, the best job of the century may be at risk. Smart machine learning algorithms can analyze and interpret data, and even produce content […]
Case Study: Nearmap Advances AI-driven Location Intelligence
If a picture is worth a thousand words, but still missing valuable location data, then why not use artificial intelligence (AI) and machine learning (ML) to fill in the gaps? Take the image of Perth, Australia, below: This graphic below shows vast data sets containing buildings, green spaces, roads to travel, and parking lots. Drill […]
Case Study: Semantic Web Ontologies and Geoscience Collaboration Helps the Planet
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 […]
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 […]
How Will Future Data Scientists Augment Machine Intelligence?
Our future will rely on advanced technologies like Data Science (DS) and machine learning (ML). These technologies not only enable people to convert machine language into comprehensible human language and improve images, but they also help us understand past incidents, shape the present outcomes, and accept the inevitability of future events. The future potentials lie […]
Data Management vs. Data Virtualization
Data Management, as a principle, requires that data is brought to a single place, governed actively, and available in real time. It also includes the trust needed for business users to perform day-to-day business functions and to do it better than the competition. Data needs are contextual and based on the role of the user. […]