What is Intelligent Edge Computing?
Intelligent edge computing is the application of edge computing architectures to workloads involving data analysis, machine learning, or AI.
Digital Transformation: How AI Can Help CFOs
Successful digital transformation initiatives include powerful AI and machine learning techniques to process and analyze large volumes of data across the enterprise.
Real-time Analytics News for Week Ending May 29
In this week's real-time analytics news: A machine learning scholarship program train the next generation of ML leaders, a virtual ML-for-good hackathon, and more.
Why Business Intelligence is a Big Deal
Business intelligence continues to evolve as developers incorporate the latest technology into their platforms, such as real-time analytics, natural language processing, AI, and machine learning.
AI Models Will Be Wrong Sometimes – And That’s a Good Thing
Machine Learning models are probability engines. They will guess wrong sometimes, and that’s how you know they’re working correctly.
Using Kubernetes as the Core Underpinning of Your End-to-End AI/ML Projects
In today's dynamic marketplace, new applications that use data from multiple sources and deliver rapid insights constantly need to be created on very short notice. The challenge is how to have the flexibility to rapidly develop and deploy new applications to meet fast-changing business requirements. The only way to ensure success is to use a dynamic architecture that delivers access to data, processing power, and analytics (including artificial intelligence and machine learning models) on demand.
The Edge Gets Smarter: AI Now The Top Workload
Artificial intelligence and machine learning, once mainly seen on the supercomputers of the world, are now prime candidates for deployment at the edge.
Real-time Analytics News Roundup for Week Ending November 28
In the news this week: A bevy of partnerships to bring artificial intelligence (AI) and machine learning (ML) to medical applications, and more.
Emotion & Data Combine to Improve the Personalized Customer Experience
Machine learning is the only way to deliver personalized customer experiences at scale, which spark emotion because those are the experiences that resonate.
Cybersecurity and Digital Trust Companies Team for IoT Threats Detection
The IoT Threats Detection service will use machine learning and traffic analysis to learn legitimate behavior and detect anomalies.