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What is Dell AI-Ready Data Platform?

Our solution is specifically crafted to enable the seamless deployment of AI across various data types, thereby unlocking the full potential of your unstructured information and allowing you to access, prepare, train, optimize, and implement AI without any limitations. By integrating our advanced file and object storage solutions like PowerScale, ECS, and ObjectScale with our PowerEdge servers and a modern open data lakehouse architecture, we provide you with the necessary tools to effectively utilize AI for your unstructured data, regardless of whether it’s located on-premises, at the edge, or within a cloud setting, ensuring exceptional performance and infinite scalability. Furthermore, our dedicated team of experienced data scientists and industry experts is available to assist you in deploying AI applications that can bring substantial advantages to your organization. In addition to this, you can protect your systems from cyber threats with comprehensive software and hardware security measures, which include immediate threat detection capabilities. A singular data access point facilitates the training and refinement of your AI models, maximizing efficiency wherever your data may be—whether on-site, at the edge, or in the cloud. This holistic strategy not only boosts your AI capabilities but also strengthens your organization's ability to withstand emerging security threats. Ultimately, this ensures that your organization remains agile and competitive in a rapidly evolving technological landscape.

What is Core ML?

Core ML makes use of a machine learning algorithm tailored to a specific dataset to create a predictive model. This model facilitates predictions based on new incoming data, offering solutions for tasks that would be difficult or unfeasible to program by hand. For example, you could create a model that classifies images or detects specific objects within those images by analyzing their pixel data directly. After the model is developed, it is crucial to integrate it into your application and ensure it can be deployed on users' devices. Your application takes advantage of Core ML APIs and user data to enable predictions while also allowing for the model to be refined or retrained as needed. You can build and train your model using the Create ML application included with Xcode, which formats the models for Core ML, thus facilitating smooth integration into your app. Alternatively, other machine learning libraries can be utilized, and Core ML Tools can be employed to convert these models into the appropriate format for Core ML. Once the model is successfully deployed on a user's device, Core ML supports on-device retraining or fine-tuning, which improves its accuracy and overall performance. This capability not only enhances the model based on real-world feedback but also ensures that it remains relevant and effective in various applications over time. Continuous updates and adjustments can lead to significant advancements in the model's functionality.

Media

Media

Integrations Supported

AMD Radeon ProRender
Accenture AI Refinery
Adobe Acrobat
Apache Iceberg
Apple tvOS
Apple watchOS
Cloudera
Databricks Data Intelligence Platform
Dell EMC PowerScale
Delta Lake
Meta AI
Microsoft 365
NVIDIA DRIVE
RAD AI
Snowflake
Splunk Cloud Platform
Starburst Enterprise
Teradata VantageCloud
VMware Cloud
Xcode

Integrations Supported

AMD Radeon ProRender
Accenture AI Refinery
Adobe Acrobat
Apache Iceberg
Apple tvOS
Apple watchOS
Cloudera
Databricks Data Intelligence Platform
Dell EMC PowerScale
Delta Lake
Meta AI
Microsoft 365
NVIDIA DRIVE
RAD AI
Snowflake
Splunk Cloud Platform
Starburst Enterprise
Teradata VantageCloud
VMware Cloud
Xcode

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Dell

Date Founded

1984

Company Location

United States

Company Website

www.dell.com/en-us/dt/solutions/artificial-intelligence/storage-for-ai.htm

Company Facts

Organization Name

Apple

Company Location

United States

Company Website

developer.apple.com/documentation/coreml

Categories and Features

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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