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What is data architecture? A framework to manage data

CIO

Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. AI and machine learning models.

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10 most in-demand enterprise IT skills

CIO

Python Python is a programming language used in several fields, including data analysis, web development, software programming, scientific computing, and for building AI and machine learning models. Its widespread use in the enterprise makes it a steady entry on any in-demand skill list.

UI/UX 203
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Gartner projects major IT spending increases for 2025

CIO

TRECIG, a cybersecurity and IT consulting firm, will spend more on IT in 2025 as it invests more in advanced technologies such as artificial intelligence, machine learning, and cloud computing, says Roy Rucker Sr., We’re consistently evaluating our technology needs to ensure our platforms are efficient, secure, and scalable,” he says.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. Conclusion In this post, we’ve introduced a scalable and efficient solution for automating batch inference jobs in Amazon Bedrock. This automatically deletes the deployed stack.

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Streaming Machine Learning with Tiered Storage and Without a Data Lake

Confluent

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […].

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Unlocking the full potential of enterprise AI

CIO

These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful.

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AI meets file data storage: How genAI may solve its own data growth crisis

CIO

Intelligent tiering Tiering has long been a strategy CIOs have employed to gain some control over storage costs. Hybrid cloud solutions allow less frequently accessed data to be stored cost-effectively while critical data remains on high-performance storage for immediate access. Now, things run much smoother.

Storage 104