Today, all consumers can obtain any
piece of data at any point in time. This
experience represents a significant
cultural shift: the beginning of the
democratization of data.
However, the data landscape is increasing
in complexity, with diverse data types
from myriad sources residing in a mix of
environments: on-premises, in the cloud or
both. How can you avoid data chaos?
Published By: HP Inc.
Published Date: Jul 17, 2017
As a consumer, it’s more than likely that you own at least one item made by Jabil. Headquartered in the U.S., Jabil is one of the world’s most technically advanced manufacturing solutions providers, working with most major consumer brands across more than 100 facilities in 28 countries. Keeping its customers competitive requires Jabil to stay on the cutting edge of engineering, prototyping, and manufacturing.
Producing parts on a 3D printer that meet or exceed traditional manufacturing’s cost, quality, and speed gives Jabil’s customers a new edge in the ultra-competitive consumer products market—a benefit that’s especially important to Dulchinos.
Data science platforms are engines for creating machine-learning solutions. Innovation in this market focuses on cloud, Apache Spark, automation, collaboration and artificial-intelligence capabilities. We evaluate 16 vendors to help you make the best choice for your organization.
This Magic Quadrant evaluates vendors of data science platforms. These are products that organizations use to build machine-learning solutions themselves, as opposed to outsourcing their creation or buying ready-made solutions.