By its very definition, artificial intelligence refers to computer systems that can learn, reason, and act…
Jo-Ellen Abou Nader and Steve Kearney
With fraud losses accounting for about 3% of the nation’s overall health care spending each year,…
Have you ever wondered what it would be like to reach in the haystack and actually…
Over the past decade, data has emerged as “the new oil” - a driving force behind…
New NIST recommendations offer voluntary activities related to cybersecurity that manufacturers should consider performing before their IoT devices are sold to customers.
A systematic AI approach used against fraud, waste, and abuse not only uncovers specific instances, but often provides additional insights.
In the news this week: new edge servers and an ingestion and analysis platform for streaming edge data, an updated platform for automating the deployment and upkeep of machine language models, and more.
AI is becoming a technological norm to advance and modernize existing digital infrastructure, now the real question is, “what’s standing in my way?”
Emotion recognition is being used for education, policing, and recruitment, yet the technology is considered by many experts to be unreliable and may lead to discrimination.
The governing regulations over the use of data and who has access to it will change the landscape of how we move about in the online world.
The AI Ladder, along with CRISP-DM, provides a strategic approach to creating CI applications on real time data.
Building continuous intelligence applications on cloud-native architectures using containers and Kubernetes makes it easier to deploy, maintain, and update those applications to meet changing business requirements.
Incorporating machine learning capabilities into BI solutions will bring sophisticated analytics to more people, groups, and business units.
Blockchain is likely to be one of the most influential technologies for fintech, a sector heavily regulated, so getting involved early seems like a smart move for governments to make.
The web is the greatest repository of knowledge humankind has ever created, and it’s about to unlock some previously unheard-of innovations for enterprises who are willing to see quality data amid the chaos.
When a machine or system breaks down, technicians often do not know the root cause, and may need to spend hours or days probing and investigating the issue.
InsightEdge, their in-memory computing platform, will now be available as a managed service on the Google Cloud Platform.
Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.
In the news this week: a fast in-memory real-time analytics processing platform is now available as a managed service on Google cloud, an orchestrator that optimizes the use of compute resources for AI, and more.
Deep learning is capable of incredible things, but if you are working with mostly structured data for straightforward purposes, Machine Learning can be a much more viable and affordable application, especially as a smaller organization with limited resources.
The combination of HCI and edge computing will give AI the tools to evolve to the next level, enabling smarter and faster decision making for organizations.
The companies will work together to integrate the Verizon’s Managed Connectivity LTE with Honeywell’s IoT sensors to create a smart energy grid.
Along with analytics, the company will also provide its Revolution Series Digesters to help Carnival reach its goal of reducing food waste and carbon footprints.
Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning.
AI hardware accelerators have massively parallel architectures that economically deliver the needed compute performance for Continuous Intelligence applications.