Data Intelligence

Adobe Research is developing the next generation of data intelligence technologies. Our scientists are exploring how we can leverage big data to automate decision-making for intervention strategies and to ultimately understanding the causal structure within our world. Our technologies help enterprises better understand and strengthen large-scale digital marketing systems. 

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Koyel Mukherjee

Research Scientist II

Shunan Guo

Research Scientist

Ritwik Sinha

Senior Data Scientist

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Efficient Insights Discovery through Conditional Generative Model based Query Approximation

Porwal, V., Mitra, S., Du, F., Anderson, J., Sheoran, N., Rao, A., Mai, T., Kowshik, G., Nair, S., Arora, S., Mahapatra, S. (Jun. 12, 2022)

International Conference on Management of Data (SIGMOD)

Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions

Porwal, V., Srivastava, P., Sinha, G. (Mar. 28, 2022)

International Conference on Artificial Intelligence and Statistics (AISTATS)

Conditional Generative Model based Predicate-Aware Query Approximation

Sheoran, N., Mitra, S., Porwal, V., Ghetia, S., Varshney, J., Mai, T., Rao, A., Maddukuri, V. (Feb. 22, 2022)

AAAI Conference on Artificial Intelligence

Making Data More Accessible

Presented by researcher Sana Malik, Project Data Unbound aims to bring Experience Cloud data to the user and make that data more accessible to Adobe customers beyond our standard interfaces. This technology also automatically generates captions to explain each data visualization, which could help make this experimental work compatible with smart assistants and screen readers.

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Join us!

We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!