Remove Cost-Benefit Remove Optimization Remove Unstructured Data
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Unlocking the full potential of enterprise AI

CIO Business Intelligence

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] AI in action The benefits of this approach are clear to see.

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). Why Hybrid and Multi-Cloud?

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An AI Data Platform for All Seasons

Rocket-Powered Data Science

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. With such dashboards, users can also customize settings, functionality, and KPIs to optimize their dashboards to suit their specific needs.

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AI and generative AI are revolutionizing manufacturing…here’s how

CIO Business Intelligence

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. AI can help with all of these challenges via manufacturing-specific use cases that benefit manufacturers, their employees, and their customers. Here’s how.

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Structural Evolutions in Data

O'Reilly on Data

.” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” The elephant was unstoppable. Until it wasn’t.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. Data virtualization is becoming more popular due to its huge benefits.