/ By David Linthicum / 0 Comments

During the pandemic, I started learning how to rebuild and repair bicycles since there was a cycle shortage and buying new was limited and costly. With gyms closed, I began to fix bikes for friends and family to get them back on the road as well. 

Bike components are a good model for the concept of value. You can pay $50 to $1,000 for a bike wheel (if full carbon). The question is, what is the best value of that component based on your needs? How do you find the true best value?

Value is one of those words that means many things. However, in the terms of cloud computing architecture we can define it like this:

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/ By Joydip Kanjilal / 0 Comments

Serverless computing has gained popularity in the last few years primarily because it supports both ease of development and high scalability. Serverless functions are stateless, event-driven, and highly scalable, and they don’t have any dependencies on the underlying infrastructure. AWS Lambda is the leading example of a serverless computing platform.

In this article, we’ll talk about how we can use .NET Core to build and deploy serverless functions on AWS Lambda. To work with the code examples provided in this article, you should have Visual Studio 2019 installed in your system. If you don’t already have a copy, you can download Visual Studio 2019 here. In addition, you will need the AWS Toolkit for Visual Studio 2019, which you can download here.

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/ By Martin Heller / 0 Comments

Dataiku Data Science Studio (DSS) is a platform that tries to span the needs of data scientists, data engineers, business analysts, and AI consumers. It mostly succeeds. In addition, Dataiku DSS tries to span the machine learning process from end to end, i.e. from data preparation through MLOps and application support. Again, it mostly succeeds.

The Dataiku DSS user interface is a combination of graphical elements, notebooks, and code, as we’ll see later on in the review. As a user, you often have a choice of how you’d like to proceed, and you’re usually not locked into your initial choice, given that graphical choices can generate editable notebooks and scripts.

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/ By Isaac Sacolick / 0 Comments

It often makes business sense to code microservices, customized applications, innovative customer experiences, enterprise workflows, and proprietary databases. But there are also times when the business and technology teams should consider low-code and no-code platforms to accelerate development, provide out-of-the-box technical best practices, simplify devops, and support ongoing enhancements.

Low-code platforms come in several categories. Some focus on tools for rapidly developing web and mobile user interfaces and workflows. Many data visualization, data integration, and data prep tools are low code, and emerging low-code platforms support machine learning, Internet of Things (IoT), and IT automations.

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/ By Isaac Sacolick / 0 Comments

It often makes business sense to code microservices, customized applications, innovative customer experiences, enterprise workflows, and proprietary databases. But there are also times when the business and technology teams should consider low-code and no-code platforms to accelerate development, provide out-of-the-box technical best practices, simplify devops, and support ongoing enhancements.

Low-code platforms come in several categories. Some focus on tools for rapidly developing web and mobile user interfaces and workflows. Many data visualization, data integration, and data prep tools are low code, and emerging low-code platforms support machine learning, Internet of Things (IoT), and IT automations.

To read this article in full, please click here

/ By David Linthicum / 0 Comments

The cloud is typically a destination for systems needing to be modernized to take advantage of technologies such as AI, predictive analytics, or a hundred other cloud services. It’s typically cheaper, it can be allocated and changed in minutes, and the enterprises technology elites are spending most R&D dollars on the public cloud these days. Thus, your existing platforms are no longer getting the love.

Moving to the cloud is not a bad idea. However, the trouble comes when enterprises believe that digital enablement will somehow fix existing problems, such as a data mess, application issues, inadequate security, or frequent outages due to a lack of operational disciplines and tools.

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/ By David Linthicum / 0 Comments

The cloud is typically a destination for systems needing to be modernized to take advantage of technologies such as AI, predictive analytics, or a hundred other cloud services. It’s typically cheaper, it can be allocated and changed in minutes, and the enterprises technology elites are spending most R&D dollars on the public cloud these days. Thus, your existing platforms are no longer getting the love.

Moving to the cloud is not a bad idea. However, the trouble comes when enterprises believe that digital enablement will somehow fix existing problems, such as a data mess, application issues, inadequate security, or frequent outages due to a lack of operational disciplines and tools.

To read this article in full, please click here

/ By David Linthicum / 0 Comments

The cloud is typically a destination for systems needing to be modernized to take advantage of technologies such as AI, predictive analytics, or a hundred other cloud services. It’s typically cheaper, it can be allocated and changed in minutes, and the enterprises technology elites are spending most R&D dollars on the public cloud these days. Thus, your existing platforms are no longer getting the love.

Moving to the cloud is not a bad idea. However, the trouble comes when enterprises believe that digital enablement will somehow fix existing problems, such as a data mess, application issues, inadequate security, or frequent outages due to a lack of operational disciplines and tools.

To read this article in full, please click here

/ By Bernd Ruecker / 0 Comments

In 2015, Deutsche Telekom started to apply robotic process automation (RPA), one of many tools in the whole process automation space. Over time the company developed an army of more than 2,500 RPA “bots” in a huge success story. But they also had to learn that even if RPA has “process automation” in its name, it does not really automate processes, but tasks.

This is a common misunderstanding that is rooted in the complexity of the process automation landscape, where tool categories are multidimensional and difficult to capture. In this article I will answer the question I get asked almost every day (what is process automation?) and provide an overview of the process automation space.

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/ By Bernd Ruecker / 0 Comments

In 2015, Deutsche Telekom started to apply robotic process automation (RPA), one of many tools in the whole process automation space. Over time the company developed an army of more than 2,500 RPA “bots” in a huge success story. But they also had to learn that even if RPA has “process automation” in its name, it does not really automate processes, but tasks.

This is a common misunderstanding that is rooted in the complexity of the process automation landscape, where tool categories are multidimensional and difficult to capture. In this article I will answer the question I get asked almost every day (what is process automation?) and provide an overview of the process automation space.

To read this article in full, please click here