Organizations starting an AI journey can still fall into the old “garbage in, garbage out” trap. AI governance is a necessity, not an option.
- By Wilson Pang
- November 20, 2020
Data management for today’s workplace, innovations in data sharing, using IoT to improve infrastructure.
- By Upside Staff
- November 17, 2020
Determining data’s origins and transformations as a way of understanding its business value, trustworthiness, quality, and applicability for specific use case.
- By Philip Russom
- November 16, 2020
Scaling up a data governance program, understanding governance and encryption, and governance strategy.
- By Upside Staff
- November 12, 2020
What role can integration-platform-as-a-service play in unifying enterprise data? Jan Arendtsz, founder and CEO of Celigo, advocates its adoption to automate information access.
- By James E. Powell
- November 9, 2020
Choosing between these two in-memory options depends on several factors, including speed and reliability requirements. This article helps you understand the functionality and limitations of these technologies and make the best choice for your environment.
- By Edward Huskin
- November 3, 2020
To take advantage of the scale and resilience of Kubernetes, Jim Walker, VP of product marketing at Cockroach Labs, says you have to rethink the database that underpins this powerful, distributed, and cloud-native platform.
- By James E. Powell
- October 30, 2020
Protecting consumer privacy is key to securely providing the huge data sets required for innovations in AI analytics.
- By Michael Zeller
- October 27, 2020