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SAP PLM VS Apple Core ML

Compare SAP PLM VS Apple Core ML and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

SAP PLM logo SAP PLM

SAP Product Lifecycle Management (SAP PLM) application provides you with a 360-degree-support for all product-related processes - from the first product idea, through manufacturing to product service.

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • SAP PLM Landing page
    Landing page //
    2022-07-29
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

SAP PLM videos

+ Add

Essentials of SAP PLM 7 01 Engineering BOM and Product Structure Synchronization Video Preview 26AP

More videos:

  • Review - Fundamentals of SAP PLM 7 02 Video Preview 2012 01 24
  • Review - What you need to know before imple SAP PLM 7 0x Video Preview 2013 04 12

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to SAP PLM and Apple Core ML)

SAP PLM

Apple Core ML

Office & Productivity
100 100%
Office & Productivity
0% 0
Developer Tools
0 0%
Developer Tools
100% 100
Project Management
100 100%
Project Management
0% 0
AI
0 0%
AI
100% 100

User comments

Share your experience with using SAP PLM and Apple Core ML. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apple Core ML seems to be more popular. It has been mentiond 7 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

SAP PLM mentions (0)

We have not tracked any mentions of SAP PLM yet. Tracking of SAP PLM recommendations started around Mar 2021.

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
View more

What are some alternatives?

When comparing SAP PLM and Apple Core ML, you can also consider the following products

PTC Windchill - Windchill offers breakthrough Product Lifecycle Management (PLM) capabilities, unleashing more data to more stakeholders throughout your organization through a single source of truth for product data and processes.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Enovia - ENOVIA offers product lifecycle management (PLM) solutions fostering innovation and operational excellence across industries.

TensorFlow Lite - Low-latency inference of on-device ML models

Propel - Propel is a customer-centric PLM software built on Salesforce App Cloud platform.

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

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