3 Inconvenient Truths about AI and ML
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable realities.
Will the Consumerization of AI Set Unrealistic Expectations?
Corporate AI offerings must be as robust and feature rich as the consumer AI services workers use at home. Otherwise, users will not embrace them.
Practical Applications for AI and ML in Embedded Systems
Embedded development is often driven by the need to deploy highly optimized and efficient systems.
Top 10 RTInsights Articles of 2019
Here is a quick overview of the major real-time analytics developments and innovations that got our readers’ attention over the last year.
Real-time Analytics News Roundup for Week Ending December 21
In the news this week: chip vendors make acquisitions and introduce new AI products, an analytic database provider releases an enhanced solution, and more.
Pegasystems Enables Business Users to Apply AI in Real Time
Next-Best-Action Designer for AI presents business users with a set of wizards they can use to automate processes infused with AI all on their own.
IBM On Board for Mayflower Autonomous Ship Project
The company’s systems, AI, cloud and edge technologies play key roles in the world’s first ever autonomous transatlantic voyage.
What Can You Do with Continuous Intelligence?
By integrating continuous intelligence systems into business processes using real time and historical data, organizations can respond in near real time.
Linux Foundation to Advance Reactive Programming Using RSocket
RSocket enables long-lived streams of data to be sent across different transport connections. It is especially useful in environments where network connections drop, switch, and reconnect frequently.
HPE Applies DevOps to AI Models
A new HPE initiative aims to accelerate AI model building by reducing data scientist dependencies on internal IT teams.