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Power analytics as a service capabilities using Amazon Redshift

AWS Big Data

This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The AaaS model accelerates data-driven decision-making through advanced analytics, enabling organizations to swiftly adapt to changing market trends and make informed strategic choices. Amazon Redshift delivers up to 4.9

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4 paths to sustainable AI

CIO Business Intelligence

The size of the data sets is limited by business concerns. Use renewable energy Hosting AI operations at a data center that uses renewable power is a straightforward path to reduce carbon emissions, but it’s not without tradeoffs. Data analytics lead Diego Cáceres urges caution about when to use AI.

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96 Percent of Businesses Can’t Be Wrong: How Hybrid Cloud Came to Dominate the Data Sector

Cloudera

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. In reality, cloud data warehouses have evolved to provide the same control maturity as on-prem warehouses.

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Generative AI is a make-or-break moment for CIOs

CIO Business Intelligence

Doing so requires developing use cases based on a deep understanding of the unit economics of gen AI, the resources needed to capture those benefits, and the feasibility of executing the work given existing capabilities. Because of the cost and complexity, this will be the least-common archetype.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Sumit started his talk by laying out the problems in today’s data landscapes. One of the major challenges, he pointed out, was costly and inefficient data integration projects. Most organisations are missing this ability to connect all the data together. He shared their approach to knowledge graph building and architecture.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 2: Cloud Adoption

BizAcuity

Benefits of Cloud Adoption. Quick recap from the previous blog- The cloud is better than on-premises solutions for the following reasons: Cost cutting: Renting and sharing resources instead of building on your own. IaaS provides a platform for compute, data storage and networking capabilities. Starting with cloud adoption.