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The Enterprise AI Promise: Path to Value

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

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

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

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.