Vancouver
About Data Data, Inc.
Data Data Inc. is a real estate property data solutions company located in Vancouver, WA. They compile and distribute statistical data primarily for title companies enabling them to monitor market activity and their share of it. DDI provides county, state, and regional reports for their client base and has expanded its coverage to 49 counties in Washington, Oregon, and Colorado since July 2007.
RTD Award: Phase I
Project Title: "Machine Learning to Improve a Document Pipeline"
Research Partner: Scott A. Wallace, Ph.D., assistant professor, School of Engineering and Computer Science, Washington State University Vancouver
Phase Began: 2009
Data Data, a property data solutions company founded in 2007, is collaborating with the School of Engineering and Computer Science at Washington State University Vancouver to evaluate the use of machine learning algorithms to improve document classification and information extraction from images of public records documents. Data Data expects that successful application of this technology will enable the company to scale its real estate market statistics services to the national level and, in the process, create 40 new technology jobs in Washington during the next five years.
"The collaboration between WSU Vancouver and Data Data has the potential to bring overseas jobs back to Washington," said State Sen. Craig Pridemore (D-Vancouver). "At this crucial time, it's great that Washington Technology Center is investing in projects to develop the state's economy, and I'm excited that this particular project is in our own backyard."
"We are very pleased to partner with WSU to pioneer this new technology to advance our document processing capabilities," said Roger Bakken, president of Data Data. "Successful completion of this project will strengthen the quality, accuracy, and timeliness of our products while bringing new jobs to Washington. A successful breakthrough would also allow us to broaden this new solution for document processing into a vast number of other industries and applications nationwide."
WSU Vancouver will receive $28,546 in Phase I research and technology development funding from Washington Technology Center and $5,845 from Data Data for the project titled "Machine Learning to Improve a Document Pipeline."
Processing information from a large volume of public record documents is commonly implemented using an outsourced labor pool -- typically overseas -- to manually classify document images and perform data entry. This labor-intensive process poses a major obstacle for startup companies looking to grow and compete in the document processing industry.
Data Data proposes to automate and increase the efficiency of document processing in order to reduce its need for outsourced labor. By partnering with assistant professor Scott A. Wallace, Ph.D., of Washington State University Vancouver, the company plans to integrate WSUV's expertise in artificial intelligence with Data Data's expertise with industry requirements to assess a variety of machine learning algorithms on various aspects of the document classification and information extraction problem.
"Data Data, Inc. is well positioned to benefit from Artificial Intelligence technology," assistant professor Scott Wallace said. "Our preliminary experiments have demonstrated very promising results for automating one of the more costly steps in their document processing pipeline and we expect that this is just the tip of the iceberg in terms of what is possible. In this project we'll be exploring a variety of ways to use AI to improve Data Data's document processing; each approach has the potential to realize benefits that translate into more business and new tech-centric jobs."
About Data Data, Inc.
Data Data Inc. is a real estate property data solutions company located in Vancouver, WA. They compile and distribute statistical data primarily for title companies enabling them to monitor market activity and their share of it. DDI provides county, state, and regional reports for their client base and has expanded its coverage to 49 counties in Washington, Oregon, and Colorado since July 2007.
RTD Award: Phase I
Project Title: "Machine Learning to Improve a Document Pipeline"
Research Partner: Scott A. Wallace, Ph.D., assistant professor, School of Engineering and Computer Science, Washington State University Vancouver
Phase Began: 2009
Data Data, a property data solutions company founded in 2007, is collaborating with the School of Engineering and Computer Science at Washington State University Vancouver to evaluate the use of machine learning algorithms to improve document classification and information extraction from images of public records documents. Data Data expects that successful application of this technology will enable the company to scale its real estate market statistics services to the national level and, in the process, create 40 new technology jobs in Washington during the next five years.
"The collaboration between WSU Vancouver and Data Data has the potential to bring overseas jobs back to Washington," said State Sen. Craig Pridemore (D-Vancouver). "At this crucial time, it's great that Washington Technology Center is investing in projects to develop the state's economy, and I'm excited that this particular project is in our own backyard."
"We are very pleased to partner with WSU to pioneer this new technology to advance our document processing capabilities," said Roger Bakken, president of Data Data. "Successful completion of this project will strengthen the quality, accuracy, and timeliness of our products while bringing new jobs to Washington. A successful breakthrough would also allow us to broaden this new solution for document processing into a vast number of other industries and applications nationwide."
WSU Vancouver will receive $28,546 in Phase I research and technology development funding from Washington Technology Center and $5,845 from Data Data for the project titled "Machine Learning to Improve a Document Pipeline."
Processing information from a large volume of public record documents is commonly implemented using an outsourced labor pool -- typically overseas -- to manually classify document images and perform data entry. This labor-intensive process poses a major obstacle for startup companies looking to grow and compete in the document processing industry.
Data Data proposes to automate and increase the efficiency of document processing in order to reduce its need for outsourced labor. By partnering with assistant professor Scott A. Wallace, Ph.D., of Washington State University Vancouver, the company plans to integrate WSUV's expertise in artificial intelligence with Data Data's expertise with industry requirements to assess a variety of machine learning algorithms on various aspects of the document classification and information extraction problem.
"Data Data, Inc. is well positioned to benefit from Artificial Intelligence technology," assistant professor Scott Wallace said. "Our preliminary experiments have demonstrated very promising results for automating one of the more costly steps in their document processing pipeline and we expect that this is just the tip of the iceberg in terms of what is possible. In this project we'll be exploring a variety of ways to use AI to improve Data Data's document processing; each approach has the potential to realize benefits that translate into more business and new tech-centric jobs."
Labels: Computer_Systems, District_49, Quote-Company, Quote-Legislator, Quote-Researcher, RTD_Grant_Program_A-K, Southwest, Vancouver, WSU
