Use Cases

It’s no secret that recent advancements in technology has propelled many industrial sectors into appropriating intelligent decision making and encouraging insights driven strategy development, thus making it far more profitable than it was when it had been averse to change. With recent universal stress on reduced environmental impact as well as fluctuating oil prices, it has become imperative, now more than ever, for the oil and gas sector to indulge itself heavily in creating avenues for utilization of technologies like Artificial Intelligence and Machine Learning.

In enterprise grade applications and specifically in product data management, the main focus of PLM vendors was about how to manage CAD files and optimizing check-in/check-out process , managing BoM , process control and measurement. This was mainly driven by the scientific discipline of “Knowledge management” (This term appeared in early 1990s) which was to use software to manage knowledge base , decision support systems and other joined efforts. But most PLM systems failed to deliver anything beyond data records which are yet to be discovered, analyzed and connected.

The Healthcare scenario is in need of an upgradation considering the fact that the whole medical process is time-consuming and costly. Healthcare organizations hold fragmented records of patients and in case of medical emergencies doctors are inclined to run a series of fresh tests and there is no way for a hospital to retrieve information from another hospital. Read more

Relational databases have been the power-horse of software applications since the 80s, and continue to be so to this day. They store highly structured data with predefined columns of certain data types and requires developers to maintain their data in a structured manner. In relational databases, references to other rows and tables are indicated by referring to their (primary) key attributes via foreign-key columns. Read more