Edge vs. Cloud: 5 Factors That Determine Where to do Analytics
A lot of tomorrow's analytics will be done locally at the "edge," or in a public or private cloud. Here's what will drive where your analysis will
Topic: Big Data
Big Data technologies and use cases for real-time analytics. Big Data technologies, market insights, and use cases for real-time analytics.
Amazon’s AWS Speeds Cloud with Per-Second-Billing
Amazon introduced per-second-billing for a few important services provided by its AWS division a few months ago. Since then, many companies offer the
What is the Role of Standards, Big Data and Analytics in Manufacturing?
Manufacturing has been traditionally complex, so how do you inject today's new technologies of big data, real-time analytics, and interoperability into
AI in the Enterprise: A Necessary Risk?
In 2018, expect the conversation around AI to shift to the enterprise, who will adopt AI as a means to enhance employee experience and remain agile.
3 Ways Real-Time and Streaming Analytics Could Evolve in 2018
Compared to old forms of data analysis, real-time and streaming analytics is newer and could make a significant impact throughout 2018 and
Are Data Lakes Hindering Digital Business Transformation?
Are the massive data lakes that have been built by enterprises over the last few years becoming a bigger stumbling block to transformation
Haven’t Mastered Digital Transformation? It’s OK, You’re in Good Company
Digital transformation isn't easy, but organizations are taking unique approaches to integrating new and innovative tech into their business
Not All Sensors and Devices are Smart Enough for Fog Computing
As fog computing pushes intelligence out to the edges, planners will need to assess the “smartness” of the devices and sensors that are on their
Spireon Taps Snowflake Computing for Data Warehouse on AWS
Vehicle intelligence firm Spireon is working with Snowflake to leverage Amazon Web Services' data warehouse
Gartner: Data Science Needs Are Coming for Your IT Budget
Research house Gartner says enterprise data executives should keep an eye on the booming data science market for new critical capabilities and use