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Accenture Awards 11 Research Grants to Leading Universities to Promote Greater R&D Collaboration, Accelerate Pace of Innovation | ||
India; San Jose, California, United States 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.
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.
For more information on Accenture Technology Labs, click here.
For more about the Accenture Open Innovation program, visit www.accenture.com/openinnovation 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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