Today, there is a need to transition from simply analyzing streaming data to developing insights that understand events in
Topic: Streaming analytics, event processing
Examines issues related to streaming analytics and event processing technologies, including analytic tools and tactics, business insights, and use cases.
Healthcare is highly personal and oftentimes extremely emotional, and the bar for healthcare organizations providing voice applications is very
Having the knowledge, insight, and skill to make intelligent decisions on the kind of data included within ASR models is crucial to their performance and …
Getting the data is sometimes the hardest part of continuous intelligence.
A cloud-native architecture provides a way for businesses to build new CI applications that incorporate modern
Enabling communities to know about lightning strikes coming in the next 10 to 30 minutes may give them time to avoid fatalities or
Businesses must move to a data and analytics architecture approach that incorporates diverse data and delivers analytics everywhere.
The decision to build Splunk DSP and acquire Streamlio is being driven by the increased need to respond to events in real
Utilities need incisive, fast, data-driven methods for dealing with natural disasters like wildfires – both before and after disaster strikes.
While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.