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Build a strong data foundation for AI-driven business growth

CIO

In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless.

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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. Tableau Tableau is a popular software platform used for data analysis to help organizations make better data-driven decisions.

UI/UX 203
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Are enterprises ready to adopt AI at scale?

CIO

AI’s ability to automate repetitive tasks leads to significant time savings on processes related to content creation, data analysis, and customer experience, freeing employees to work on more complex, creative issues. In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way.

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Video security analysis for privileged access management using generative AI and Amazon Bedrock

AWS Machine Learning - AI

These services use advanced machine learning (ML) algorithms and computer vision techniques to perform functions like object detection and tracking, activity recognition, and text and audio recognition. Solution workflow Our solution requires a two-stage workflow of video transcription and security analysis.

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Neo4j raises Neo$325M as graph-based data analysis takes hold in enterprise

TechCrunch

Designers will pixel push, frontend engineers will add clicks to make it more difficult to drop out of a soporific Zoom call, but few companies are ever willing to rip out their database storage engine. In the past, most business analysis was built on relational databases. With a graph model, that analysis is a cinch.

Analysis 252
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Real-time Data, Machine Learning, and Results: The Evidence Mounts

CIO

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.