Software Alternatives, Accelerators & Startups

Amazon SageMaker VS Paccurate

Compare Amazon SageMaker VS Paccurate and see what are their differences

Amazon SageMaker logo Amazon SageMaker

Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

Paccurate logo Paccurate

We make shipping more Paccurate.
  • Amazon SageMaker Landing page
    Landing page //
    2023-03-15
  • Paccurate Landing page
    Landing page //
    2022-03-11

Cartonization provider that reduces Supply Chain costs and waste. Paccurate is a real-time packing decision-maker, focused on minimizing every conceivable cost associated with packing—from labor to materials to obscure incentives in negotiated rate tables, it considers every angle to determine the most cost-efficient way of packing every order.

The Paccurate API is flexible and fast, and can be used tactically (and unobtrusively) throughout your order to cash or procure to pay process. You may even be using our algorithms without knowing it: Paccurate powers the cartonization functionality in many of the top enterprise packing and multi-carrier shipping software suites on the market.

Try the API free by visiting paccurate.io

Paccurate

$ Details
freemium $99.0 / Monthly (2,500 parcel requests/mo, 5 cents per thereafter)
Release Date
2009 November

Amazon SageMaker videos

Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker - AWS Online Tech Talks

More videos:

  • Review - An overview of Amazon SageMaker (November 2017)

Paccurate videos

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Category Popularity

0-100% (relative to Amazon SageMaker and Paccurate)
Data Science And Machine Learning
iPhone
0 0%
100% 100
AI
100 100%
0% 0
Health And Fitness
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon SageMaker and Paccurate

Amazon SageMaker Reviews

7 best Colab alternatives in 2023
Amazon SageMaker Studio is a fully integrated development environment (IDE) for machine learning. It allows users to write code, track experiments, visualize data, and perform debugging and monitoring all within a single, integrated visual interface, making the process of developing, testing, and deploying models much more manageable.
Source: deepnote.com

Paccurate Reviews

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Social recommendations and mentions

Based on our record, Amazon SageMaker seems to be more popular. It has been mentiond 36 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.

Amazon SageMaker mentions (36)

  • Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations
    Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 27 days ago
  • Sentiment Analysis with PubNub Functions and HuggingFace
    At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / about 2 months ago
  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
  • Technical Architecture for LLMOps
    Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: 12 months ago
  • Are AI fine-tuning tools worth learning and investing?
    And there have been several platforms that help fine-tune pretrained models, such as Google Cloud AutoML and Amazon Sagemaker. These tools are often fairly easy to use, but they come at a cost. They can be expensive, depending on the size of your dataset. Another option is Finetuner+, that also fine-tunes like AutoML and Sagemaker. The big advantage is that you don't need to transfer your data to other GPUs,... Source: about 1 year ago
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Paccurate mentions (0)

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

What are some alternatives?

When comparing Amazon SageMaker and Paccurate, you can also consider the following products

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Quuu - Quuu is a curated content suggestion platform that connects to your Buffer queue, allowing you to grow a relevant social media following across your entire social landscape.

IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.

Tapatalk - Tapatalk is an application to allow access to Internet forums on mobile devices

Pega Platform - The best-in-class, rapid no-code Pega Platform is unified for building BPM, CRM, case management, and real-time decisioning apps.

Vera - Vera enables businesses to easily secure and track any digital information across all platforms and devices.