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
Understand the potential of machine learning, how delivery logistics is improving with analytics, and how leaders in the IoT space differ from those falling behind.
- By Lindsay Stares
- January 12, 2017
Three examples highlight the power of machine-learning predictive analytics.
- By Sameer Nori
- January 11, 2017
It’s 2017, and there are many exciting developments anticipated in the data world. Make sure you’re ready to prepare for new technology trends.
- By Lindsay Stares
- January 10, 2017