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Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Many companies are just beginning to address the interplay between their suite of AI, big data, and cloud technologies. I’ll also highlight some interesting uses cases and applications of data, analytics, and machine learning. AI and machine learning in the enterprise. Deep Learning. Data Platforms.

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The DataOps Vendor Landscape, 2021

DataKitchen

We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . DataKitchen — a DataOps Platform that supports the deployment of all data analytics code and configuration.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Data Platforms. Deep Learning.

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Leveraging AI to discover and classify your data in a complex and dynamic landscape

Laminar Security

One trend is the increasing use of deep learning algorithms for these processes. Deep learning, a subset of machine learning, involves training neural networks on large amounts of data and then using these networks to make predictions or decisions.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Then virtualize your data to allow business users to conduct aggregated searches and analyses using the business intelligence or data analytics tools of their choice. . Set up unified data governance rules and processes. Data analytics powered by AI has created a wealth of business opportunity.

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Transforming Telco with Trusted AI Everywhere

Cloudera

The AI technologies of today—including not just large language models (LLMs) but also deep learning, reinforcement learning, and natural-language processing (NLP) tools—will equip telcos with powerful new automation and analytics capabilities.

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Take advantage of AI and use it to make your business better

IBM Big Data Hub

A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it. Therefore, a well-built AI for business program must also have a good data governance framework. Doing so allows your organization the ability to scale with trust and transparency.

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