ARMONK, N.Y., Nov. 2, 2017 /PRNewswire/ -- IBM (NYSE: IBM)
today announced new offerings to its Watson Data Platform,
including data cataloging and data refining, which is designed to
make it easier for developers and data scientists to analyze and
prepare enterprise data for AI applications, regardless of its
structure or where it resides. By improving data visibility and
helping to better enforce data security policies, users can now
connect and share data across public and private cloud
environments.
By 2018, nearly 75 percent of developers will build AI
functionality into their apps, according to IDC1.
However, they also face the obstacle of making sense of
increasingly complex data that lives in different places, and that
must be securely and continually ingested to power these apps.
Addressing these challenges, IBM has expanded the functionality
of its Watson Data Platform, an integrated set of tools, services
and data on the IBM Cloud designed to enable data scientists,
developers and business teams to gain intelligence from the data
most important to their roles, as well as easily access services
like machine learning, AI and analytics.
"We are always looking for new ways to gain a more holistic view
of our clients' campaign data, and design tailored approaches for
each ad and marketing tactic," said Michael
Kaushansky, Chief Data Officer at Havas, a global
advertising and marketing consultancy. "The Watson Data Platform is
helping us do just that by quickly connecting offline and online
marketing data. For example, we recently kicked off a test for one
of our automotive clients, aiming to connect customer data,
advertising information in existing systems, and online engagement
metrics to better target the right audiences at the right
time."
Specifically, this expansion includes:
- New Data Catalog and Data Refinery offerings, which bring
together datasets that live in different formats on the cloud, in
existing systems and in third party sources; as well as apply
machine learning to process and cleanse this data so it can be
ingested for AI applications;
- The ability to use metadata, pulled from Data Catalog and Data
Refinery, to tag and help enforce a client's data governance
policies. This gives teams a foundation to more easily identify
risks when sharing sensitive data.
- The general availability of Analytics Engine to separate the
storage of data from the information it holds, allowing it to be
analyzed and fed into apps at much greater speeds. As a result,
developers and data scientists can more easily share and build with
large datasets.
More details on the new offerings of the IBM Watson Data
Platform may be found here.
"The key to AI starts with a strong data foundation, which turns
the volume and velocity of incoming data from a challenge into an
asset," said Derek Schoettle,
General Manager, IBM Watson Data Platform. "For companies to
innovate and compete with AI, they need a way to grasp and organize
data coming in from every source, and to use this complete index of
data as the backbone of every decision and initiative."
To further help companies grasp control of all of their data no
matter where it resides, IBM is also announcing a series of new
features to its Unified Governance
Platform. These bring greater visibility and management of
clients' global data, including new capabilities that help clients
as they better prepare for impending data protection regulations
such as GDPR.
Built on open source technologies and fueled by IBM Cloud, the
Watson Data Platform brings together IBM's cloud infrastructure,
powerful data services and decades of experience helping clients
across industries solve their data challenges. Linked closely with
the most popular communities among data scientists and developers,
including Python and Spark, the Watson Data Platform continues to
evolve to build the most open and complete data operating system on
the cloud.
For more information on the Watson Data Platform, visit:
https://www.ibm.com/analytics/us/en/watson-data-platform/.
To try and explore the Watson Data Platform, visit the tutorial:
www.ibm.biz/wdptutorial.
For more about IBM Cloud, visit:
https://www.ibm.com/cloud-computing/.
- IDC FutureScape: Worldwide Analytics, Cognitive/AI, and Big
Data 2017 Predictions" DOC #US41866016 / NOV
2, 2016
Media Contact: Erin
Lehr
IBM Media Relations
edlehr@us.ibm.com
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SOURCE IBM