In today's world, the constant influx of data from various sources makes it nearly impossible for data to be completely error-free. Just about anyone can generate and share data, the danger of putting out “bad” data is on the increase, making it essential to check, and double-check work data, especially when its origin is questionable. Furthermore, organizations are spending on deriving insights without any consensus on definition of data quality and no systematic way to sustain high quality data which results in high operational cost and challenges with integration, metadata, curation, governance and master data management issues. Data Scientists are spending 80% of their effort on data engineering and data preparation challenges versus focusing on model optimization and algorithms.
As part of this session, we shall discuss and see a demo of DQLabs.ai about how we can leverage artificial intelligence and machine learning to combine processes, technologies to improve, monitor data quality and prepare “ready-to-use” data.
- Tuesday — August 18, 2020
5:00PM - 6:00PM
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.