Accenture (NYSE:ACN) has awarded 11 research grants to top
universities around the world to significantly broaden and deepen
the relationships between Accenture’s technology research and
development (R&D) groups and leading university
researchers.
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The grant program helps to support the ground-breaking efforts
of leading university research teams, which will be invited to work
in collaboration with researchers from the Accenture Technology
Labs on R&D projects that are of strategic importance to the
technology industry and Accenture’s enterprise clients.
“Universities are a critical source of technical and scientific
research that can deliver long-term business benefits for
organizations around the world,” said Prith Banerjee, managing
director of Global Technology R&D, Accenture. “We are thrilled
that this grant program, in conjunction with the Accenture Open
Innovation initiative, will enable Accenture Technology Labs
researchers to translate a university’s conceptual research – which
spans topics from cyber security to 3D printing and cognitive
computing – into ideas that can ultimately help solve real business
challenges for our enterprise clients.”
The grant program is part of the Accenture Open Innovation
initiative, in which Accenture functions as a bridgemaker between
Accenture’s Global 2000 clients and the technology innovation
ecosystem, which includes universities, top tier accelerators,
start-ups, venture capitalists and corporate R&D labs from
around the world. New technology research from Accenture Strategy
found that four out of five enterprise respondents reported
innovation was within their top three priorities and about one
quarter placed innovation as the number one priority for their
organization.
The 2015 Accenture Open Innovation university grant program
recipients and the R&D areas of focus include:
- Prof. David Bader, Georgia Institute
of Technology
This project is focused on accelerating
anomaly detection of advanced persistent threats, zero-day malware,
and other malicious cyber threats using graph analytics.
- Prof. Zhejing Bao, Zhejiang
University, China
This project will focus on the development of
a prediction technology that provides short-term customer energy
demand forecasting by utilizing real-time and historical sensor
data of electricity consumption and other information, such as
weather forecasting data and customer information.
- Prof. Michael Bernstein and Prof.
Melissa Valentine, Stanford University
Exploring tools and techniques needed to
create a “Hybrid Virtual Workforce,” this project will look at how
work traditionally carried out by static teams of enterprise
employees can instead be carried out by computationally-guided,
dynamically-assembled flash teams.
- Prof. Pushpak Bhattacharyya, Indian
Institute of Technology Bombay, India
Focused on developing a text to universal
language converter, this project aims to create more robust and
accurate natural language processing capabilities.
- Prof. Sutanu Chakraborti, Indian
Institute of Technology Madras, Chennai, India
This project will focus on the development of
decision-making algorithms to conceptualize and develop cognitive
learning systems. It will leverage a principled combination of
bottom-up, data-driven techniques, such as machine learning, and
top-down knowledge-based approaches classically used in planning
and reasoning.
- Prof. Abhijit Deshmukh, Purdue
University
Focused on developing new approaches to
understanding complex systems, this project will look at building
more efficient systems by using next generation manufacturing and
supply chains in a circular economy as a use case.
- Prof. F. Javier Heredia and Prof.
Joaquim Minguella, Universitat Politecnica de Catalunya,
BarcelonaTech
Studying the advantages of ultra-postponement
with 3D printing by using analytical tools and mathematical
optimization models and algorithms, this project will explore how
to transform supply chain management by allowing delayed and
tailored production in the location where demand occurs.
- Prof. Michal Kosinski, Stanford
University
This project aims to increase the
understanding of customer behavior and design more psychologically
matched customer interactions. It will explore approaches to
building predictive models of a customer’s psychological
profiles using machine learning in conjunction with shopping
records and external social network data.
- Dean Richard Lyons, University of
California, Berkeley, Haas School of Business
A new multi-disciplinary experiential
learning course for MBA students will focus on data strategy and
data science curriculum. The goal is to create the next generation
of business decision makers, develop and broaden data strategy
skills and refine and improve this developing field of
activity.
- Prof. Santonu Sarkar, Birla
Institute of Technology and Sciences, Pilani, India
The goal of this project is to ensure
dependability of software systems, making them reliable and
available based on a recovery-oriented approach. The proposed
approach is based on a near-real time assessment and remediation of
dependability bottlenecks of operational systems and design
strategies to build dependable software.
- Prof. Partha Pratim Talukdar, Indian
Institute of Science, Bangalore, India
This project aims to harvest knowledge from
large text datasets, using them to improve accuracy and coverage of
cognitive computing systems.
In addition to the monetary grant, the university researchers
will benefit from the perspectives that Accenture Technology Labs
researchers have to offer given their direct exposure to the
enterprise business contexts in which the research would ultimately
be applied. The program provides the opportunity for Accenture and
university researchers to combine their expertise, learn from each
other and achieve more than either could alone.
“With cyber security threats rapidly evolving and becoming
increasingly complex, we are pleased to have received this grant
from Accenture to help us advance the research we’re doing in the
critical area,” said Professor David Bader, Georgia Institute of
Technology. “Collaboration with Accenture will provide access to
data and expertise that will help us to build proper algorithms,
allowing our research to push further and faster than previously
possible.”
"I am delighted that we were amongst a select group of
universities around the world to be awarded with a research grant
from Accenture,” said Professor Pushpak Bhattacharyya, India
Institute of Technology, Bombay. “The combination of IIT Bombay's
world renowned Natural Language Processing group with Accenture’s
global consulting and technology services expertise will result in
a mutually enriching experience, enabling us to work together on
cutting edge cognitive computing problems."
“We’re pleased to be a recipient of an Accenture grant to help
further our research in the area of cognitive computing,” said
Professor Partha Pratim Talukdar, Indian Institute of Science,
Bangalore, India. “The opportunity to collaborate with Accenture
researchers will provide us with valuable inputs into how our
research can help address the real-world challenges of enterprise
organizations.”
For more information on Accenture Technology Labs, click
here.
For more about the Accenture Open Innovation program, visit
www.accenture.com/openinnovation
About Accenture
Accenture is a global management consulting, technology services
and outsourcing company, with more than 336,000 people serving
clients in more than 120 countries. Combining unparalleled
experience, comprehensive capabilities across all industries and
business functions, and extensive research on the world’s most
successful companies, Accenture collaborates with clients to help
them become high-performance businesses and governments. The
company generated net revenues of US$30.0 billion for the fiscal
year ended Aug. 31, 2014. Its home page
is www.accenture.com.
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