How a Data Analytics Company Developed a Platform to Cut Down Complex Data Challenges

How a Data Analytics Company Developed a Platform to Cut Down Complex Data Challenges


Background



When facing challenges ranging from fuzzy matching and analysis paralysis to siloed workflows, Explore Digits partnered with Tibco and AWS to deploy an end-to-end machine learning workflow to solve its complex data needs.


Register for our webinar to learn how the company significantly reduced its analytics time and extended data science practices across its organization.




Register to learn how to





  • Detect and reduce errors using data preparation steps that include complex joins and matching.


  • Use machine learning algorithms that can be built and tested in parallel on even the largest data sets. 


  • Enable sharing and searching of analytics assets within teams and between organizations.


  • Access Amazon EMR and Amazon RedShift to create innovative solutions using machine learning techniques from Amazon SageMaker.




Who should attend?


Data scientists / analysts, business decision makers, developers, marketing BI users


Speakers


Kris Skrinak – AI/Machine Learning Architect, AWS


Steven Hillion – Sr. Director, Data Scientist, TIBCO 


Ravi Hubbly – President, Explore Digits