Jim Harris explains the relevance of DevOps, DataOps and ModelOps for data analytics practitioners.
Everyone is talking about artificial intelligence (AI) and how it affects our lives -- there are even AI toothbrushes! But how do businesses use AI to help them compete in the market? According to Gartner research, only half of all AI projects are deployed and 90% take more than three [...]
A business glossary improves data quality – one of the top five ways it makes analytics better.
The post Top 5 ways business glossaries make analytics better appeared first on The Data Roundtable.
Getting value from analytics is becoming top of mind for businesses. Organizations have invested millions of dollars in data, people and technology and are looking for a return on their investment. That requires operationalizing analytics so that it can be used for strategic decision making -- often referred to as [...]
Resources to help you conquer the 'last mile' of analytics was published on SAS Voices by Sarah Gates
The final phase in analytical model deployment is the perfect unsolved mystery. Why are 50% of analytics models never deployed? And why does it take three months or more to complete 90% of deployed models? What happened or didn’t happen to allow analytical insights to reach their potential? It’s a [...]
Mystery solved: The case for operationalizing analytics was published on SAS Voices by Lindsey Coombs