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IBM and AWS Create a Path to Modernization Via Industry-Specific Solutions

CIO

As part of their partnership, IBM and Amazon Web Services (AWS) are pursuing a variety of industry-specific blueprints and solutions designed to help customers modernize apps for a hybrid IT environment, which includes AWS Cloud. Yet one way to simplify transformation and accelerate the process is using an industry-specific approach.

AWS 287
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

We don’t want to just go off to the next shiny object,” she says. “We We’ve established an AI working group with representatives across technology, architecture, data, security, legal, risk, and audit consisting of both technical practitioners and business users to develop AI-use best practices and a governance framework,” says Nafde.

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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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Highly Configurable vs Highly Customizable Contact Centers

Perficient

There are three types of solutions, Commercial off-the-shelf (COTS) Highly configurable Highly customizable Most customers want and need a solution that meets their exact requirements. Customization typically requires specialized development skills and an understanding of the software’s architecture.

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Cloud-Side Development For All with Stackery’s Free Tier

Stackery

It’s no longer necessary to spin up a cluster of servers to stand up Kafka if you need a message streaming service, because it’s much faster and arguably cheaper (in terms of people, overhead and maintenance) to simply pull a streaming service like Kinesis or a managed Kafka service off the shelf of the Amazon Web Services menu.

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Explore data with ease: Use SQL and Text-to-SQL in Amazon SageMaker Studio JupyterLab notebooks

AWS Machine Learning - AI

Amazon SageMaker Studio provides a fully managed solution for data scientists to interactively build, train, and deploy machine learning (ML) models. In the process of working on their ML tasks, data scientists typically start their workflow by discovering relevant data sources and connecting to them.

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Hitachi Vantara’s API Strategy for The Smart Data Center

Hu's Place - HitachiVantara

Hitachi’s developers are reimagining core systems as microservices, building APIs using modern RESTful architectures, and taking advantage of robust, off-the-shelf API management platforms. In this post I will take a deeper dive into one of the key enablers for Digital Transformation, the REST API.