ARMONK, N.Y., March 16, 2018 /PRNewswire/ -- As companies look
to embrace Artificial Intelligence (AI) to gain competitive
advantage and increase productivity, IBM (NYSE: IBM) today unveiled
a new data science and machine learning platform and an elite
consulting team to help them accelerate their AI
journeys.
Powered by a fast in-memory database that can ingest and analyze
massive amounts of data –one million events per second* – IBM's new
Cloud Private for Data is an integrated data science, data
engineering and app building platform. Designed to help companies
uncover previously unobtainable insights from their data, the
platform is also designed to enable users to build and exploit
event-driven applications capable of analyzing the torrents of data
from things like IoT sensors, online commerce, mobile devices, and
more.
"Whether they are aware of it or not, every company is on a
journey to AI as the ultimate driver of business transformation,"
said Rob Thomas, General Manager,
IBM Analytics. "But for them to get there, they need to put in
place an information architecture for collecting, managing and
analyzing their data. With today's announcements, we are planning
to bring the AI destination closer and give access to powerful
machine learning and data science technologies that can turn data
into game-changing insight."
Launching on the IBM Cloud Private platform, Cloud Private for
Data is an application layer deployed on the Kubernetes open-source
container software and can be deployed in minutes. Using
microservices, it forms a truly integrated environment for data
science and application development. In the future, the Cloud
Private for Data will run on all clouds, as well as be available in
industry-specific solutions, for financial services, healthcare,
manufacturing, and more.
Commenting on the news, Christian Rodatus, CEO of IBM business
partner Datameer, said that "two of the biggest challenges for Data
scientists is cleansing and shaping data, and operationalizing
their insights to deliver value to business. The direction IBM is
headed with IBM Cloud Private for Data is aligned with Datameer's
strategy and can enable companies to more quickly prepare data for
machine learning and AI projects and operationalize these across
their organizations."
The Cloud Private Data solution also includes key capabilities
from IBM's Data Science Experience, Information Analyzer,
Information Governance Catalogue, Data Stage, Db2 and Db2
Warehouse. The cohesive set of capabilities is designed to help
Cloud Private clients quickly discover insights from their core
business data, while keeping that data in a protected, controlled
environment. In other words, the new solution is designed to
provide a data infrastructure layer for AI behind the firewall.
IBM Launches Data Science Elite Team
Separately, IBM today announced the formation of the Data
Science Elite Team – a new no-charge consultancy dedicated to
solving clients' real-world data science problems and to assisting
them in their journey to AI.
According to a report from MIT Sloan, Reshaping Business with
Artificial Intelligence, an estimated 85% of 3,000 business leaders
surveyed believed artificial intelligence (AI) would enable
competitive advantage, however, only about 1-in-5 have done
anything about it. For many organizations, the task of
understanding, organizing and managing their data at the enterprise
level was too complex.
That's where the new Data Science Elite Team comes in. This
global team of data scientists, machine learning engineers, and
decision optimization engineers is dedicated to assisting clients
on-site to begin helping them better understand and control their
data, and to start making machine learning an integral part of
their business.
"Nedbank has a long tradition of using analytics on internal,
structured data," Patricia Maqetuka, Chief Data Officer, Nedbank
Ltd. "More data is available now than has ever been available
before and analytical tooling has undergone rapid evolution in
order to keep up. Nedbank has embarked on a journey to start
leveraging both internal and external data, creating new data
driven business models and new sources of revenue. Thanks to the
first IBM Analytics University Live we were exposed to the guidance
and counsel of IBM's Elite team. This team helped us to unlock new
paradigms about how we think about our analytics and change the way
we look at use cases to unlock business value."
Specifically, Data Science Elite Team client engagements center
around a use case and begin with a discovery workshop that helps
clients understand their data environment and break this use case
down into 3 to 4 discrete deliverables that can each be realized in
two to three weeks. Following the workshop, clients are provided
access to powerful data science strategies, technologies and
methodologies through data science sprints and validation. The
team, which comprises more than 30 people now, and is expected to
grow to 200 over the next few years, is currently aiding more than
50 clients.
* Based on internal testing, February,
2018, that produced over 3 million inserts/second across three
nodes.
Related
- IBM THINK Blog: The New Data Developers
- IBM THINK Blog: Helping Data Science Flourish – One Client at a Time
- IBM Cloud Private for Data
Contact
Mike Zimmerman
IBM Media Relations
mrzimmerman@us.ibm.com
(585) 698-9974
Jonathan Jessop Batty
Global Communications Manager
IBM Hybrid Cloud & Analytics
+44 7741 113871
jjbatty@ibm.com
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SOURCE IBM