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A look into the lifecycle of software-defined infrastructure with NTT DATA’s Technology Solutions

CIO Business Intelligence

While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models. Software is starting to run through everything from on-premises to remote services and enables automation, analytics, insights and cybersecurity.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. The Opportunity of 5G For telcos, the shift to 5G poses a set of related challenges and opportunities.

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A summary of Gartner’s recent DataOps-driven data engineering best practices article

DataKitchen

On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.

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12 considerations when choosing MES software

IBM Big Data Hub

Implementing such solutions could be the key to a new era of productivity for your organization, but implementing new and expansive IT software can be intimidating. Moreover, they play a crucial role in quality management and compliance by enforcing quality control procedures, monitoring metrics and capturing real-time data.

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How Encored Technologies built serverless event-driven data pipelines with AWS

AWS Big Data

In this post, we share how Encored runs data engineering pipelines for containerized ML applications on AWS and how they use AWS Lambda to achieve performance improvement, cost reduction, and operational efficiency. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

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AI Software Can Help Your Business Cultivate a Competitive Edge in 2021

Smart Data Collective

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. Software development with AI: focus on the brain of your company. Your business will never work and think on its own.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

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