At the 2017 World Economic Forum meeting, tech industry leaders openly discussed some of the ethical and societal challenges facing the current surge in big data-driven AI.
- By Barry Devlin
- February 17, 2017
With the increasing demand for data science professionals, what skills are necessary to succeed in our new digital world?
- By Devavrat Shah
- February 14, 2017
Infrastructure speed has reached a plateau. Today's enterprises should be seeking out predictive, automated solutions to improve their enterprise infrastructure.
- By Rod Bagg
- February 9, 2017
How data analytics might improve city life, drug manufacturers should use social media data, and the difference between AI and machine learning.
- By Lindsay Stares
- January 26, 2017
So-called smart machines will be used in nearly one-third of large enterprises by 2021. That's tantamount to mainstream adoption.
Despite the attraction of consumer-facing AI, IBM's focus on practical business applications may yet win the race for widespread AI adoption.
- By Barry Devlin
- January 18, 2017
Microsoft's Power BI cloud platform got an analytics refresh to close out the year. In addition, Power BI now supports DirectQuery for both Spark and Azure Analysis Services.
- By Steve Swoyer
- January 17, 2017
Adoption of analytics across the enterprise is occurring at breakneck speed, and there is no sign of slowing down. In 2017, we'll witness a critical point as organizations seek analytics that extract greater value from all available data.
- By Venkat Viswanathan
- January 17, 2017