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 […]
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 […]
Designing an Efficient Hybrid Cloud Solution
Adopting a hybrid cloud philosophy can provide businesses with the opportunity to gain a competitive advantage. A hybrid cloud is the concept of working with both an on-premise private cloud and various public clouds. While cost reduction is a primary goal, businesses also benefit from gaining a flexible IT infrastructure and significant scalability. The tools […]
Artificial Intelligence, Machine Learning, and Deep Learning Explained
The first reference to artificial intelligence was in a paper written by Alan Turing in 1950, entitled Computing Machinery and Intelligence, where he asked the question, “Can machines think?” Turing’s article, as well as a 1977 paper entitled History of Artificial Intelligence by P. McCorduck are recommended reading for those wanting a greater understanding of […]
Enterprise Data Unification and Knowledge Graphs: Making Complexity Simple
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 […]
The Data Fabric: An Innovative Data Management Solution
Business leaders are facing market pressure to extract value from their data pipelines within the constraints of limited budgets, time, and skills. Data is so diverse and massive it poses constant management challenges to business operators. Moreover, as it steps out of firewalls, business data now raises fresh security concerns for all businesses. In such […]
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,” […]
So You Want to be a Cloud Engineer?
It has been predicted that “cloud engineer” will be among the top ten in-demand IT jobs in 2020. There is currently a great need for cloud engineers, primarily because a significant number of organizations are moving their business processes to the cloud. As more organizations shift to cloud data storage, the demand for cloud engineers […]