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AI vs. automation: 6 ways to spot fake AI

AI artificial intelligence
Is that really artificial intelligence - or just automation, being described as AI? Let's explore the difference - and...

Edge computing: 4 common misconceptions, explained

CIO Edge computing myths
The term “edge computing” covers a lot of ground - leading to confusion about edge vs. cloud, edge vs...

Big data and AI: 7 common misunderstandings

How big data works with AI
Some false notions have emerged about how AI and big data work together, leading to potential confusion. IT leaders,...

How to tame Robotic Process Automation (RPA) anxiety

ai rpa fears
Robotic Process Automation should be a positive – a chance to reduce drudge work. But when some people hear...

Blockchain reality check 2020: Challenges and winning applications

blockchain trends 2020
As widespread blockchain experimentation continues, early winners are emerging among use cases in areas including finance and supply chain...

Minikube, Kubernetes' best friend: 6 facts to know

Minikube 6 things to know
If your team is building apps for containers and Kubernetes, get to know Minikube. This free open source tool...

Data science vs. machine learning: What's the difference?

data science
Machine learning is a branch of artificial intelligence (AI), while data science is the discipline of data cleansing, preparation,...

Migrating applications to containers and Kubernetes: 5 best practices

Kubernetes: best practices for migrating applications
Let’s examine key considerations for migrating existing applications to containers and Kubernetes, according to experts

8 reasons AI projects fail

AI artificial intelligence
Why do artificial intelligence projects fail? Let’s examine some recurring issues – and expert advice on how to avoid...

7 best practices: Building applications for containers and Kubernetes

Kubernetes
Let’s examine key considerations for building new applications specifically for containers and Kubernetes, according to cloud-native experts

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