Tamr, Inc., a leading cloud-native data mastering solution, announced the findings of its research of over 500 data leaders on their enterprise data initiatives for 2023. Over 90% of participants said their organizations have data initiatives planned for 2023. Yet more than half said they still face challenges as they strive to realize business value from their company data.
The Enterprise AI Promise: Path to Value
March 19, 2018 by Leave a Comment
This interview survey from SAS explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on enterprise AI and their organizations’ levels of readiness were diverse. Download the report, courtesy of SAS, that explores how enterprise AI can make companies more profitable and efficient, as well as study results that shows enterprise readiness to accept and adopt AI.
The Next Generation of Managing Enterprise Data: Data Conductor
August 22, 2017 by Leave a Comment
With capabilities to act as what we call a “data conductor”, businesses are free to work with any data at anytime, anywhere to best serve business goals, unlocking the constraints of any data management environment. This sponsored post from Chris Ortega, Senior Director, Customer Success, at Podium Data, is the second in a three-part series focused on the need for increased data agility.
The Next Generation of Managing Enterprise Data: Intelligent Data Identification
August 8, 2017 by Leave a Comment
In order to thrive in today’s market, businesses must demand more from their data – more insights, more agility and more flexibility. Intelligent Data Identification capabilities go beyond the metadata repository to leverage 80+ profiling statistics for core data insights and delivering on key value-add business use cases.
A CEO’s Guide to Managing and Leveraging Enterprise Data Assets
June 14, 2017 by Leave a Comment
In this contributed article, two veteran big data experts have distilled managing and leveraging enterprise data assets down to a simple 8-item checklist on what executives should ask themselves to gain more advantage from their company’s data. Stephen Rubinow and Jeff Stamen explore why CEOs need to better understand the next evolution of enterprise data discovery and analytics.
