4 Challenges Real-Time Data Still Faces in 2018
Enterprise leveraging of real-time data will increase dramatically in 2018, but it still faces adoption challenges. What are these
Topic: Streaming analytics, event processing
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
Why Streaming Analytics is Critical to Real-Time and Transformation
Forrester Research has released a study that evaluates the top streaming analytics providers, like IBM, and shows how these firms can help generate critical …
Cognitive Computing: Assisting or Replacing Doctors?
While advances in cognitive computing in medicine are growing, some healthcare stakeholders worry about machines replacing doctors. Is this fear
Parallel Wireless and Robin Systems Working on Virtualized Analytics
The collaboration will allow global CSPs to manage their big data analytics under the same network function virtualization orchestration
Panasonic and Cognito iQ Team Up for Operational Performance Analytics
With the move, Cognito joins Panasonic Toughbook’s Independent Software Vendor program to provide better operational
Real-time Analytics Requires Modern IT Infrastructure
A new HfS Research/Accenture survey finds 80% of organizations can't make data-driven decisions due to a lack of skills and tech. Modernization is
Now, the Internet of Things Can be Made Self-Aware
MIT proposes taking IoT to its next natural cognitive level. This means adding some AI across the entire IoT network to make it
DataTorrent Now Tackles Streaming Data Management with RTS Upgrade
DataTorrent's RTS 3.10 brings real-time historical trend analysis and expanded streaming data support for machine
MongoDB Throws Down Transaction Gauntlet
Leading open source document database software provider MongoDB is moving to eliminate the need for a separate database to process
International Olympic Committee and GE Healthcare Launch Analytics Tool
Dashboards provide real-time analytics on injury types and illness outbreaks to help clinicians improve Olympic athletes' health, performance, and