Cloud AI Platform Pipelines vs wise.io
Overview
Detailed Comparison
Wise.io builds machine intelligence products that make it easy for companies to derive actionable insight from their greatest corporate resource: their data. | It provides a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility, and delivers an enterprise-ready, easy to install, secure execution environment for your ML workflows. |
Use Wise.io for: Fraud detection, Intelligent sensors, Ad Targeting & Personalization, Genomics, Business Analytics, Finance, Healthcare, Sentiment Analysis;Dead simple machine learning.- Our intuitive, easy-to-use platform for machine learning enables anyone to build and deploy models with a few simple clicks.;A data science marketplace.- With the feature marketplace, we provide companies access to an expansive knowledge base.;State-of the art technology.- Our IP is 10-100x faster and more memory efficient than any other implementation we can find.;From experiment to production.- By breaking the barrier between sandbox learning and large-scale production environments, we decrease the lead time from inception to deployment.;Automated reports.- Every time you build a model, we generate an easy-to-read report detailing the insights gleaned from your data and the performance of your newly minted model.;Public or private cloud.- Our hosted platform makes it easy for businesses to deploy machine intelligence without having to build the infrastructure. For companies with security or latency concerns, we gladly offer an on-premise solution. | Push-button installation via the Google Cloud Console; Enterprise features for running ML workloads, including pipeline versioning, automatic metadata tracking of artifacts and executions, Cloud Logging, visualization tools, and more; Seamless integration with Google Cloud managed services like BigQuery, Dataflow, AI Platform Training and Serving, Cloud Functions, and many others ; Many prebuilt pipeline components (pipeline steps) for ML workflows, with easy construction of your own custom components |
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Followers 8 | Followers 6 |
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What are some alternatives to wise.io, Cloud AI Platform Pipelines?
NanoNets
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Inferrd
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GraphLab Create
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BigML
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Amazon SageMaker
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Azure Machine Learning
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Amazon Machine Learning
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Algorithms.io
Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
Replicate
It lets you run machine learning models with a few lines of code, without needing to understand how machine learning works.
Google AI Platform
Makes it easy for machine learning developers, data scientists, and data engineers to take their ML projects from ideation to production and deployment, quickly and cost-effectively.
