The availability of new digital technologies and their wave of deployments over the past five years are demonstrating benefits within manufacturing, healthcare and hydrocarbon sectors, to the extent that the slow-to-adopt water/wastewater […]
Top-level business analysis tools may be the software products that data “consumers” most often see. But underlying those applications are the database software and data integration, preparation and management tools that are […]
If you are looking to hear thought provoking speeches, best practice demos, meet C-suite and harness the best networking opportunities, mark your calendars. Yeah, we know that we are in the mid […]
Data scientists are in demand, their remuneration is matching this, but what about their future, can their roles be automated? Will technology tools remove the nerd from data scientist, and open the […]
I recently came across this job description for a data scientist (anonymized to protect the innocent): Responsibilities: Translate business requirements into machine learning product. Architect and Build machine learning software products for […]
The role of the data scientist could be explained in a number of ways considering who you ask and on which day. The “look” of the data scientist is another point of […]
As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks. As automation increases and business needs evolve, […]
