MUNICH, June 22, 2017 /PRNewswire/ -- IBM (NYSE:
IBM) today announced sweeping advances to its data governance and
data science initiatives designed to help developers and analysts
tap into the power of cognitive computing. Through new solutions
and services, organizations will gain greater understanding and
control of their data, while facilitating their ability to prepare
for rising data regulations, like the European Union's General Data
Protection Regulation (GDPR).
As part of the moves, IBM announced new data governance
solutions and tools, data science and machine learning advances,
and the formation of the Open Data Governance Consortium for Apache
Atlas, dedicated to advancing the open framework for data
governance.
As more developers harness data science and machine learning,
they are able to create cognitive applications and services that
lead to greater data visibility and deeper insights to make
data-driven decisions. IDC predicts that by 2018, 75 percent of all
developers will embed cognitive in their applications1 –
but as data volumes explode, and data protection regulation mounts,
the ability to effectively manage and exploit that data
diminishes.
For instance, on May 25, 2018, the
European Union will put into effect GDPR, a continent-wide set of
requirements designed to protect its citizens' personal information
– any data "that can be used to directly or indirectly identify a
person," from a name to a post on social media. Organizations
within or outside of Europe, that
process or hold such personal data of EU citizens and fail to
comply with GDPR could potentially face extremely stiff financial
penalties that will range from four percent of the organization's
annual global revenue to 20 million
euros.
With such profound technical change so imminent, organizations
across Europe, and around the
world, are reviewing and considering an array of solutions and
processes that can help them better handle personal data and meet
the requirements.
IBM Spearheads the Launch of the Open Data Governance
Consortium for Apache Atlas
At the heart of preparing for regulation, such as GDPR, is data
governance, which provides diligent and comprehensive data
management practices for data integrity, security, usability, and
availability. To make this easier for organizations and drive
widespread adoption of data governance, IBM today is announcing the
Open Data Governance Consortium for Apache Atlas.
Atlas is the Apache Foundation's data governance framework for
Hadoop, one of the leading open source frameworks for distributed
data processing and storage. The project is currently in Apache's
"incubator" phase of development. One of the goals of the
consortium is to collaborate to quickly advance it to "Top Level
Project" status, at which point the technology will be available
for open development contributions, download and distribution – and
making robust governance capabilities open and free to the
public.
The Consortium comprises such international members as leading
Hadoop distribution provider, Hortonworks, and a dozen other
members.
The news of the Open Data Governance Consortium for Apache Atlas
follows strategic partnership IBM announced last week with
Hortonworks, maker of one of the leading distributions of Hadoop,
the Hadoop Data Platform (HDP).
IBM Unveils New Data Governance Solutions
Also, to further help clients meet their growing data protection
compliance demands, IBM today is announcing the following new
solutions for helping clients gain greater control of their
data:
- IBM Unified Governance Software Platform – a new software
platform comprising data management capabilities, including many
which may be mapped to the GDPR, such as cognitive metadata
harvest, lineage tracking, policy enforcement, data integration
services and persona-based reporting;
- Information Governance Catalog Download & Go – a fast, new
software download that lets clients download, install and run
specific governance tools directly to their systems, quickly and
easily. The software complements, the full, cloud-based version of
the catalog.
- StoredIQ – the popular data discovery software that helps users
identify the types of unstructured data residing across their
organizations, has been augmented with new analytics "cartridges,"
or software modules, that people can download at no cost to begin
recognizing sensitive, personal data, as well. Available for 15
European Union (EU) country-specific downloads, and their 11
languages, these cartridges are designed to help shorten the time
it takes to discover personal data and better prepare for rising
regulation, like GDPR.
Applying Data Science and Machine Learning to
Governance
Increasingly critical to data governance is the ability to
analyze and distill troves of data for insights and compliance. IBM
today expanded its data science and machine learning innovations
across Europe, to give more global
enterprises access to the tools needed to apply data intelligence
as they prepare for regulatory compliance. These include:
- The launch of the IBM Data Science Experience (DSX) in its
London data center. Now, data
scientists in the UK and across Europe are able to use the collaborative
environment to easily and quickly team on analytic models that
drive the creation of intelligent applications and generate data
insights. Bringing DSX to the UK, will help organizations begin
making more data-driven decisions, prepare for regional data
regulation requirements, and provide more robust system
performance.
- The launch of the Machine Learning Hub in Boblingen, Germany.
The Hub presents a unique opportunity for companies in the region
to collaborate with IBM on machine learning efforts with hands-on
workshops. While many companies offer educational resources on
emerging technologies, the Machine Learning Hub puts theory into
practice to identify solutions to data science challenges in
machine learning. To date, Machine Learning Hub teams have
workshopped a wide range of use cases, from patient diagnosis to
fraud detection to customer segmentation.
"The potential of data science and big data can only be realized
with a unified approach to governance," said Michael Willette, Executive Director and
Technical Fellow, Data and Analytics, at financial services
company, USAA. "IBM's strategy is a good approach to addressing
compliance concerns while allowing our users to find and discover
data for analysis and data driven decision-making."
"From the sheer volume and the continued distribution of data
across evermore complex network clusters, to the rising tide of
data regulations, such as GDPR, the need to organize, analyze and
govern that data grows more critical every day," said Rob Thomas, General Manager, IBM Analytics.
"With the governance moves we're making today, we're giving
organizations more ways to begin to not only understand what they
have, but leverage it to make better business decisions and prepare
for compliance."
About IBM
For more about IBM Analytics visit
www.ibm.com/analytics.
Contact
Mike Zimmerman
IBM Media Relations
mrzimmerman@us.ibm.com
(585) 698-9974
1IDC FutureScape: Worldwide IT Industry 2017
Predictions
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SOURCE IBM