Multi-language Data Wrangling and Acquisition Conversational Agents

Anton Antonov is an applied mathematician, data scientist and researcher, who currently holds the Sr Research Scientist position at Accendo Data, a company he co-founded in 2012. He previously held roles at multiple companies, including Clearsense, Senzari, RaceTrac Petroleum, Panasonic America, Wolfram Alpha and Wolfram Research where he implemented the initial version of the chemical equation balancer. Anton holds a PhD in applied mathematics from the Danmarks Tekniske Universitet and a Master in Computer science from Rusenski University.

In this month's talk, Anton will be showcasing his work on Multi-language Data Wrangling and Acquisition Conversational Agents. Current data acquisition and wrangling methods require user knowledge in multiple packages and languages. These agents address this knowledge gap by simplifying the process of building data acquisition and data wrangling pipelines using natural language, enabling data scientists to quickly get a feel for their data in a fast and language agnostic manner. The talk comes with a number of references, including Anton's own repositories and other talks he gave on the subject.

References
Repositories
[AAr1] AntonAntonov,DSL::English::DataAcquisitionWorkflowsRaku package, (2021), GitHub/antononcube.
[AAr2] AntonAntonov,DSL::English::DataQueryWorkflowsRaku package, (2021), GitHub/antononcube.

Video recordings
[AAv1] AntonAntonov,“Multi-language Data Wrangling Conversational Agent” (2020), Wolfram Technology Conference 2020.
[AAv2] AntonAntonov,"Multi language Data Wrangling Translation - talk advertisement", (2020), YouTube.com.
[AAv3] AntonAntonov,"How to simplify ML workflows specifications", (2020), YouTube.com.