In this report, five data industry thought leaders explore DataOps—the automated, process-oriented methodology for delivering clean, reliable data across your organization.
Tamr’s Real World Evidence Integration Solution tackles the data challenge with a powerful data harmonization process, driven by human-guided machine learning, that streamlines real world evidence integration for large volumes of disparate data to deliver transformational outcomes.
Download this white paper to learn how Tamr uses machine learning to help organizations build a data-driven approach to taxonomy design.
Watch this on-demand webinar to learn about key challenges and benefits of DataOps, as well as best practices for implementing DataOps.
Toyota is one of the world’s largest automotive manufacturers. In 2013, the company launched Consumer One, a European-wide initiative to boost business in the region by putting the customer even closer to the center of Toyota’s activities. The idea was…
Tamr’s CDISC Conversion Solution tackles data challenges with a powerful data harmonization process, driven by human-guided machine learning that can replace traditional in-house tools prone to delays and errors.
When it comes to data quality and availability, there is a gap between expectations and reality. Download this ebook to learn how Agile Data Mastering can solve common data challenges.
Download this complimentary copy of Gartner’s 2019 Market Guide for Data Preparation Tools to learn about key market trends and industry vendors.
What exactly is machine learning? And, more importantly, what are its applications for common challenges that enterprises encounter with Big Data?
What is data stewardship and what are the areas where machine learning can help data stewards? Download our guide to machine learning to find out.
In this chapter from the book Making Databases Work: The Pragmatic Wisdom of Michael Stonebraker, Ihab Ilyas discusses the academic project that eventually become Tamr.