How the Right Data Labeling Partner Can Prevent Business Losses
As the volumes of data used in businesses grows, getting data suitably annotated and tagged to train machine learning models is an enormous challenge.
AI Will Be The Most Powerful Tool for Real-Time Analytics
AI and machine learning are dependent on high-value data, which means IT departments need to have the proper visibility into what is happening on their …
The Rise of the Global Data Prep Market
Data scientists spend nearly 40% of their time doing data prep and just 11% of their time finding the insights businesses hope
Why Data Science Needs DataOps
DataOps helps reduce the time data scientists spend preparing data for use in applications. Such tasks consume roughly 80% of their time
Test Data Management: A Guide to The What, Why, and How
Despite TDM being one of the many challenges that threaten software companies, there’s hope in the form of AI-assisted
Overcoming the Barriers to Successfully Scaling AI
AI is becoming a technological norm to advance and modernize existing digital infrastructure, now the real question is, “what’s standing in my
Maximizing Data Productivity in a Fast-Moving World
Business leaders must look at new approaches for continuously increasing data productivity to achieve the success of a data-driven
Real-time Analytics News Roundup for Week Ending December 14
In the news this week: enhancements to a mainstay DBMS, a merger between two enterprise AI companies, the next generation of a virtual beauty recommendation …
Blockchain for Science: Revolutionary Opportunities and Potential Problems
Although blockchain technology is still evolving, it can already offer many advantages to the scientific
What Do You Need to Stream?
Getting the data is sometimes the hardest part of continuous intelligence.