ARMONK, N.Y., Dec. 19, 2019 /PRNewswire/ -- IBM (NYSE:
IBM) announced today momentum and growth for its vaunted Data
Science Elite Team, which has helped propel IBM to number one in
global AI market share by revenue as ranked by IDC.1 In
addition, the Elite Team has played a key role in helping close the
data science skills gap, through unique academic programs. To date,
the Data Science Elite Team has grown to almost 100 data scientists
around the world and has been deployed on more than 130 Artificial
Intelligence, Data Science and Machine Learning projects, advancing
the journey to AI for global customers from Royal Bank of
Scotland to Wunderman Thompson
Data.
"Companies come to us because they know they need an AI plan,
but they often don't know where to start," said Seth Dobrin, Phd, Vice President, IBM Data and
AI, and CDO IBM Cloud and Cognitive Software. Dobrin helped
architect and manage the Elite Team. "Today, the Elite Team has
become a key plank of IBM's AI strategy to help companies overcome
the pitfalls of AI through innovative technologies and our
dedicated Elite Team of data scientists."
IBM's Data Science Elite Team tackles the challenges facing many
organizations in the area of data science and AI – a skills
shortage. In its Linkedin Workforce Report, Aug. 2018, Linkedin stated there were 151,000
unfilled data scientist jobs in the U.S. Last week, in the firm's
new 2020 Emerging Jobs Report it ranked Artificial
Intelligence Specialist and Data Scientist, #1 and #3, top jobs for
2020, respectively, showing annual growth of 74% and 37%.
The Data Science Elite Team has helped IBM drive Artificial
Intelligence, Data Science and Machine Learning deeper into
enterprises, one client at a time. But the effort has become a
pillar of the company's AI story and philosophy, to help clients
overcome the challenges of AI adoption. IDC ranks IBM number one in
global AI market share by revenue, with companies leveraging the
Elite Team to apply Data Science and Machine Learning to rising
data challenges. In the past year alone, the Data Science Elite
Team has grown in size from 30 data scientists to almost 100 and
grown its roster of client engagements to more than 130.
"We were committed to moving toward a fully distributed
architecture for our Machine Learning but one of the biggest
challenges we faced was resources," said Adam Woods, CTO at Wunderman Thompson Data.
"Working with IBM and its Data Science Elite Team, our teams can
now free up time from their day-to-day responsibilities to learn
and build a proof of concept organically. Our data scientists
focused on the immediate business requirements and the IBM team
focused on the technology. This joint collaboration resulted in a
machine learning pipeline, via Watson, that fully utilized all of our data
signals to produce models that increase the performance over our
previous models by 200% or more. We are now working aggressively to
roll this out into our production."
In addition to assisting clients in their AI and digital
transformations, the Elite Team has been at the forefront of
learning and development projects. This fall, IBM Elite Team
members teamed with the Linux Group and University of Pennsylvania to create an open source
curriculum program that colleges can use to fast-track actual data
science curricula – free of charge.
IBM, the University of Pennsylvania,
and the Linux Foundation are building an innovative,
first-of-a-kind open source project to help enable universities
around the world to build Data Science programs faster. With IBM's
involvement and industry expertise, University
of Pennsylvania's long-standing academic leadership and the
Linux Foundation as a premier open source consortium, we are
creating a curriculum kit comprised of a set of open source
building blocks for teaching the core concepts of data science in
undergraduate and graduate programs. These building blocks are
based on Python and open source tools and frameworks, and include
slides, documentation, code, and data sets that could be adopted or
updated by users. This work is set to be available on Github in
early 2020.
About IBM
For more information please visit the Data
Science Elite Team.
Contact
Michael
Zimmerman
IBM Media Relations
mrzimmerman@us.ibm.com
1 IDC Worldwide Artificial Intelligence Market
Shares, 2018: Steady Growth – POCs Poised to Enter Full Blown
Production, doc #US45334719, July
2019. Revenue is comprised of revenue from AI Software
(AI Software platforms & AI Applications), AI Hardware
(Servers and Storage for AI), AI Services (Business and
IT services for AI).
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SOURCE IBM