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Optimizing a Centralized Approach for the Modern Distributed Data Estate

CIO Business Intelligence

billion connected Internet of Things (IoT) devices by 2025, generating almost 80 billion zettabytes of data at the edge. This next manifestation of centralized data strategy emanates from past experiences with trying to coalesce the enterprise around a large-scale monolithic data lake. over last year.

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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

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How CIOs reinterpret their role through AI

CIO Business Intelligence

In his business continuity project, Deligia’s team of about 20 internal resources and the outsourced IT team is responsible for merging technical data, such as digital service operation logs, and business and sales data into a data lake. I think confronting technology vendors is part of the CIO’s job,” Deligia says.

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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

Of roughly 2,500 CIOs surveyed recently by Gartner, 9% say they have already deployed gen AI applications, and a staggering 55% say they will deploy large language models (LLMs) in production by the end of 2025. in concert with Microsoft’s AI-optimized Azure platform. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 141
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How Can Manufacturing Data Help Your Organization?

Sisense

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

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Top Graph Use Cases and Enterprise Applications (with Real World Examples)

Ontotext

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs.

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How the Public Sector Can Maximize the Value of Dark Data

Cloudera

One estimate states that “ on average, people will produce 463 exabytes of data per day by 2025.” Some examples include employee records, internal and external communications, photo, video, and audio files, IoT sensor data, and streamed data. Now consider that the federal government has approximately 2.8

IoT 81