Data science, machine learning, and predictive analytics are the tools used by companies like Cambridge Analytica to gather information from social data and create predictive marketing campaigns.
Data Scientist, Expert Interview: Dr. Kenneth Sanford, US Lead Analytics Architect of the data science software company Dataiku, is available to talk about:
- How companies like Cambridge Analytica would have used harvested facebook data to target consumers with advertisements
- What methods companies use to create marketing campaigns using your data
- How machine learning, data science and predictive analytics actually works
- Or any topic to do with data science
Bio: Dr. Ken Sanford is the US lead Analytics Architect for Dataiku. He is a reformed academic economist who likes to empower customers to solve problems with data. In addition, Dr. Sanford teaches courses in Applied Forecasting, Stress testing and Big Data Tools for Economists at Boston College. He has a Ph.D. in Economics from the University of Kentucky in Lexington and his work on price optimization has been published in peer-reviewed journals.
Previous interviews:
- Associated Press: https://www.nytimes.com/aponline/2018/03/19/us/ap-us-facebook-cambridge-analytica.html
- https://www.cnbc.com/2017/06/25/amazon-whole-foods-will-use-data-to-make-ambient-ecommerce.html
- http://searchbusinessanalytics.techtarget.com/opinion/Predictive-analytics-tools-hinge-on-good-data-business-expertise
About Dataiku
Dataiku develops Dataiku Data Science Studio, the unique advanced analytics software solution that enables companies to build and deliver their own data products more efficiently. Thanks to a collaborative and team-based user interface for data scientists and beginner analysts, to a unified framework for both development and deployment of data projects, and to immediate access to all the features and tools required to design data products from scratch, users can easily apply machine learning and data science techniques to all types, sizes, and formats of raw data to build and deploy predictive data flows.
Hundreds of customers in industries ranging from e-commerce, to industrial factories, to finance, to insurance, to healthcare, and pharmaceuticals use DSS on a daily basis to collaboratively build predictive dataflows to detect fraud, reduce churn, optimize internal logistics, predict future maintenance issues, and more.
Dataiku raised a $28M Series-B round in September of 2017, led by Battery Ventures. Learn more at: www.dataiku.com
