The C3.ai Digital Transformation Institute has awarded six UC Berkeley faculty funding to use AI to mitigate the threat of COVID-19. Bottom row, from left: Karen Chapple, Teresa Head-Gordon and Jennifer Listgarten. Six UC Berkeley-led projects have won funding from the recently launched C3.ai Digital Transformation Institute to harness the power of artificial intelligence (AI) to combat the spread of COVID-19 and other emerging diseases. These wide-ranging research projects will use AI and machine learning tools to understand and reduce the threat posed by the SARS-CoV-2 virus in a variety of ways, from tracking the transmission dynamics of the virus in Mexico to speeding the discovery of small molecules that could one day serve as pharmaceutical treatments for the disease. The C3.ai Digital Transformation Institute, a research consortium established in March by enterprise AI software company C3.ai and headquartered at Berkeley and the University of Illinois at Urbana-Champaign, aims to mobilize AI, machine learning and the Internet of Things to transform societal-scale systems.

URBANA, Ill. and BERKELEY, Calif., June 23, 2020 – C3.ai Digital Transformation Institute (C3.ai DTI awards for artificial intelligence (AI) techniques to mitigate the COVID-19 pandemic. C3.ai DTI, jointly managed by the University of Illinois at Urbana-Champaign and the University of California, Berkeley, and in partnership with Microsoft Corp., invited researchers in March to take on the challenge of abating COVID-19 and advancing AI-based science and technologies for mitigating future pandemics. After a rigorous peer review process, C3.ai DTI selected 26 research proposals that address COVID-19 across the disciplines of medicine, urban planning, public policy, and computer science, several of which focus on the study of the disease's impact on racial, economic, and healthcare disparities. A total of $5.4 million in cash will be awarded to the following research projects.

The C3.ai Digital Transformation Institute (C3.ai DTI) is a new research consortium established by C3.ai, Microsoft Corporation, the University of Illinois at Urbana-Champaign (UIUC), the University of California, Berkeley, Princeton University, the University of Chicago, the Massachusetts Institute of Technology, Carnegie Mellon University, and the National Center for Supercomputing Applications at UIUC. Jointly managed and hosted by UC Berkeley and UIUC, C3.ai DTI was created to establish the new Science of Digital Transformation of Societal Systems. C3.ai DTI's mission is to attract the world's leading scientists to join in a coordinated and innovative effort to advance the digital transformation of business, government, and society. Through partnerships with leading universities and strategic engagement with key industry partners, C3.ai DTI will catalyze advances in mathematical, statistical, and computing research, including Machine Learning (ML), Artificial Intelligence (AI), and the Internet of Things (IoT).

New research from Capgemini's Digital Transformation Institute shows that four out of five companies implementing AI have created new jobs as a result of AI technology Paris, September 7, 2017 – Capgemini, a global leader in consulting, technology and outsourcing services, has today announced the findings of "Turning AI into concrete value: the successful implementers' toolkit", a study of nearly 1,000 organizations with revenues of more than $500m that are implementing artificial intelligence (AI), either as a pilot or at scale[1]. The research both counters fears that AI will cause massive job losses in the short term, as 83% of firms surveyed say AI has generated new roles in their organizations, and highlights the growth opportunity presented by AI: three-quarters of firms have seen a 10% uplift in sales, directly tied to AI implementation. The report, which surveyed executives from nine countries and across seven sectors, found that four out of five companies (83%) have created new jobs as a result of AI technology. Specifically, organizations are producing jobs at a senior level, with two in three jobs being created at the grade of a manager or above. Furthermore, among organizations that have implemented AI at scale, more than 3 in 5 (63%) said that AI has not destroyed any jobs in their organization.

'Organizations are pivoting towards operational analytics as it can both increase the efficiency and performance of the back office as well as boost the customer experience in the front office.' comments Anne-Laure Thieullent, Head of Big Data in Europe, for Capgemini's Insights & Data global practice. 'However, despite the focus, there are factors limiting the success of these projects; specifically siloed datasets, fragile governance models, inability to harness third party data sources, and an absence of a strong mandate from leadership teams.' 'Going Big: Why Organizations Need to Focus on Operations Analytics' from Capgemini Consulting's Digital Transformation Institute mapped organizations based on the extent to which their analytics initiatives were integrated with core operations processes and their success rate with initiatives, identifying four stages of operational analytics maturity: Capgemini Consulting's Digital Transformation Institute applied the four stages of operational analytics maturity to build up a geographic picture of adoption and success rates around the world. US companies are not only the most advanced with their analytics initiatives but also the most successful; 50 percent have successfully realized the desired benefits from operational analytics compared to only 23 percent of Chinese respondents, despite China ranking highly for level of implementation. A strong contributing factor of the success of US companies is their focus on setting up effective data and governance processes. The prominence of US organizations tallies with a recent resurgence in US manufacturing and will drive US manufacturing competitiveness in the coming years.