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Edge Computing: a powerful enabler for industrial frontline workers

CIO

For industrial sector organizations, frontline workers play a crucial role in achieving productivity, efficiency, and safety targets. Traditional, centralized computing architectures cannot deliver the speed and reliability required for critical frontline tasks. Enhanced safety: Safety is a critical concern in the industrial sector.

Industry 237
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5 tips for excelling at self-service analytics

CIO

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. But there are right and wrong ways to deploy and use self-service analytics.

Analytics 336
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What is Private Cloud Architecture: Complete Overview

OTS Solutions

Private cloud architecture is an increasingly popular approach to cloud computing that offers organizations greater control, security, and customization over their cloud infrastructure. What is Private Cloud Architecture? Why is Private Cloud Architecture important for Businesses?

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What is a data engineer? An analytics role in high demand

CIO

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. Database-centric: In larger organizations, where managing the flow of data is a full-time job, data engineers focus on analytics databases. What is a data engineer? Data engineer job description.

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Product Transformation: Adapting Your Solutions for Cloud Models

Speaker: Ahmad Jubran, Cloud Product Innovation Consultant

Many do this by simply replicating their current architectures in the cloud. Those previous architectures, which were optimized for transactional systems, aren't well-suited for the new age of AI. In this webinar, you will learn how to: Take advantage of serverless application architecture. And much more!

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Big Data Realtime Data Pipeline Architecture

Dzone - DevOps

Companies across various industries rely on big data analytics to gain valuable insights and make informed business decisions. To efficiently process and analyze this vast amount of data, organizations need a robust and scalable architecture.

Big Data 101
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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. TAI Solutions provides IT services and solutions to major players in the financial services industry, particularly in the banking and insurance sectors.