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Wendy Gonzalez
The Curious Case of Data Annotation and AI
By its very definition, artificial intelligence refers to computer systems that can learn, reason, and act…
Jo-Ellen Abou Nader and Steve Kearney
AI: Finding the Fraud Needle in the Big Data Haystack
With fraud losses accounting for about 3% of the nation’s overall health care spending each year,…
Zachariah Eslami
Overcoming the Barriers to Successfully Scaling AI
Have you ever wondered what it would be like to reach in the haystack and actually…
Elizabeth Wallace
How Privacy Trends Will Shape the Next Decade of IoT
Over the past decade, data has emerged as “the new oil” - a driving force behind…
NIST Publishes Draft Security Recommendations For IoT Manufacturers
New NIST recommendations offer voluntary activities related to cybersecurity that manufacturers should consider performing before their IoT devices are sold to customers.
The Curious Case of Data Annotation and AI
Data annotation takes time. And for in-house teams, labeling data can be the proverbial bottleneck, limiting a company's ability to quickly train and validate machine learning models.
AI: Finding the Fraud Needle in the Big Data Haystack
A systematic AI approach used against fraud, waste, and abuse not only uncovers specific instances, but often provides additional insights.
Robotic Process Automation Implementation Choices
When implementing RPA, the biggest challenges involve development and infrastructural issues.
Real-time Analytics News Roundup for Week Ending February 21
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.
Overcoming the Barriers to Successfully Scaling AI
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 AI Researchers Question Accuracy, Call For Regulation
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.
How Privacy Trends Will Shape the Next Decade of IoT
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.
Millennial Workforce Drives Workplace Evolution
Combining intelligent video systems with AI to analyze and react in real-time lets companies automate and optimize workflows to increase business efficiency.
Operationalize AI in Real Time with Streaming Analytics
The AI Ladder, along with CRISP-DM, provides a strategic approach to creating CI applications on real time data.
How Kubernetes and Containers Enable Highly Scalable CI Applications
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.
BI Providers Integrate Machine Learning into Business Processes
Incorporating machine learning capabilities into BI solutions will bring sophisticated analytics to more people, groups, and business units.
Australian Government Publishes Roadmap for Blockchain
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.
Web Data Enters the Enterprise Mainstream (Special Report)
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.
Deep Machine Analytics: Achieving High-Visibility with Real-Time Data (Special Report)
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.
GigaSpaces Cloud Managed Service Now Available on Google Cloud Platform
InsightEdge, their in-memory computing platform, will now be available as a managed service on the Google Cloud Platform.
Deep Learning AI Accurately Identifies Sleep Disorders
Previously, the way to identify these disorders would be through manual scoring, which is time-consuming and can lead to inaccuracies.
vScaler Announces Architecture For AI Development
With AI becoming more prevalent, it’s clear that a platform that can manage the complete AI development and production life cycle will become more critical.
Real-time Analytics News Roundup for Week Ending February 15
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.
Machine Learning vs. Deep Learning. Which Does Your Business Need?
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.
Bring AI to the Next Level with HCI and Edge Computing
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.
Verizon and Honeywell Join Forces for LTE-Powered Smart Meters
The companies will work together to integrate the Verizon’s Managed Connectivity LTE with Honeywell’s IoT sensors to create a smart energy grid.
BioHiTech Global Sets Sail with Carnival Corp to Provide Analytics Platform
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.
Swiss Researchers Create Machine Learning Thermostat
Smart thermostats have been around for a while, but researchers at Swiss federal laboratory Empa have gone one step further, adding machine learning.
Hardware Acceleration Drives Continuous Intelligence
AI hardware accelerators have massively parallel architectures that economically deliver the needed compute performance for Continuous Intelligence applications.