A challenge for large businesses working with data is how to manage and unify it. Many companies, seeking to better utilize their data, collect massive amounts of data regarding their customers’ online activity, preferences, and demographics. This can lead to the development of vast data lakes. Without a screening process, a data lake will enable […]
Database Management Updates and Latest Solutions
The word “database” may be one of the most misunderstood words in business computing. Several years ago, database meant a collection of data (or a base of data). As structured databases became popular, data became more and more organized. Structured databases were followed by the DBMS (database management system), which controls the data and how […]
The Next Level of Data Governance, Machine Learning, and Data Science
The term, machine learning dates back to a 1959 article by Arthur Samuel, in which he posited: “Programming computers to learn from experience should eventually eliminate the need for much of this detailed programming effort.” The hope was that data alone could be used to develop models, rather than relying on fixed rules or theory. […]
Big Data Ecosystem Updates: Machine Learning, Deep Learning, and the Edge
One of the recent stories within the Big Data ecosystem is that Cisco is joining the AI Hardware frame with a new deep learning server powered by eight GPUs. Cisco is promising support within its AI push for Kubeflow, “which is an open source tool that makes TensorFlow compatible with the Kubernetes container orchestration engine,” […]
The Third Generation of Graph Databases
The graph database, very simply, is a database that recognizes the “relationships” between data to be as important as the data itself. A graph database is designed to hold data while not limiting it to a pre-established model. The data in such a database shows how each individual entity is connected with or related to […]
Cloud Computing Challenges: Navigating the Multi-Cloud Landscape
Public clouds have become popular as a solution for many data-driven projects around Big Data, Business Intelligence and Analytics, as well as specialized projects, such as Machine Learning and AI. Cloud providers normally offer significant scalability and advantageous, user-friendly tools. Migration to the cloud is considered to be cost-effective, making it an excellent choice for […]
Big Data Integration 101: The What, Why, and How
Big Data Integration is an important and essential step in any Big Data project. There are, however, several issues to take into consideration. Generally speaking, Big Data Integration combines data originating from a variety of different sources and software formats, and then provides users with a translated and unified view of the accumulated data. Managing […]
Streamlining the Production of Artificial Intelligence
People often think the algorithms used for Machine Learning (ML) are the most important factors for developing a successful ML system. However, shrewd Artificial Intelligence (AI) and Machine Learning systems in production (managing the data at all stages, with multiple models) have much more impact on the success of the model than the specific learning […]
QVCAD Presents First AI System for Cancer Screening
QView Medical recently announced the presentation of QVCAD, the premier AI CAD system for concurrent readings of Automated Breast Ultrasound (ABUS) exams. It will be covered in the research being presented at the 104th Annual Radiological Society of North America (RSNA) meeting, on November 25th-30th, 2018 (at South Hall #3572). In the study, researchers evaluated […]
Philips Showcases Innovative Big Data Solutions
Recently, Royal Philips, a leader in health technology, announced planned innovations in radiology at the 2018 Radiological Society of North America Annual Meeting (RSNA). At this meeting, Philips is promoting its new portfolio of novel and innovative imaging systems, intelligent software, and associated services. Their solutions connect technology and people, and are designed to deal […]