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Review of Industrial IoT Solutions – Part I

Perficient

It would take way too long to do a comprehensive review of all available solutions, so in this first part, I’m just going to focus on AWS, Azure – as the leading cloud providers – as well as hybrid-cloud approaches using Kubernetes. Introduction. Edge computing and more generally the rise of Industry 4.0 Solution Overview.

IoT 69
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Introducing the GenAI models you haven’t heard of yet

CIO

Many, if not most, enterprises deploying generative AI are starting with OpenAI, typically via a private cloud on Microsoft Azure. The Azure deployment gives companies a private instance of the chatbot, meaning they don’t have to worry about corporate data leaking out into the AI’s training data set.

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Employee Spotlight: Mark Richman

Linux Academy

Mark Richman, AWS Training Architect. While Mark initially pursued a degree in architecture, he quickly realized staying up till 4 AM gluing balsa wood just couldn’t satiate his growing appetite for knowledge. “Taking courses is great, doing Hands-On Labs is even better. The early, nerdy years. The accidental career.

Linux 22
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Growing digital product development trends in 2023

Modus Create

Serverless architecture Search results for “serverless architecture” over the past 5 years (2/24/2023) Serverless architecture allows developers to create products without managing the underlying infrastructure. Micro frontends have immense benefits, but it’s not a technology you can use off the shelf.

Trends 98
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MLOps and DevOps: Why Data Makes It Different

O'Reilly Media - Ideas

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. The new category is often called MLOps. However, the concept is quite abstract.

DevOps 141
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Automated Claims Processing: Using RPA and Machine Learning to Manage Insurance Claims

Altexsoft

And when it comes to decision-making, it’s often more nuanced than an off-the-shelf system can handle — it needs the understanding of the context of each particular case. The insurance industry is notoriously bad at customer experience. Not in China though. Of course, not.

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

This case study is based off real, concrete war stories, and will detail how Confluent Cloud was a key enabler for their digital strategy, unfolding new ways to capitalize on their product and differentiate their business, by leveraging the power of Apache Kafka and the cloud at the same time. Cloud is one of the key drivers for innovation.

Cloud 89