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AI & Analytics Engine VS Managed MLflow

Compare AI & Analytics Engine VS Managed MLflow and see what are their differences

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AI & Analytics Engine logo AI & Analytics Engine

Accessible AI for everyone. AI-powered machine learning platform to clean, transform and model your data, and deploy and manage ML projects, simply, quickly and cost-effectively.

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.
  • AI & Analytics Engine Landing page
    Landing page //
    2020-09-23

The PI.EXCHANGE AI & Analytics Engine (the Engine) is a Data Science and Machine Learning (ML) platform that empowers everyone, even novice users, to affordably build high-performance ML applications in minutes or hours, not weeks or months.

The easy-to-use connected toolchain provides everything you will need to go from raw data to predictions and insights within a single pipeline. Manual and repetitive machine learning tasks are automated, and the Engine's intelligent features help guide the user end-to-end. So, whether you are building a small pilot project with no dedicated data science resources, or are deploying large-scale enterprise ML systems, you can equip your existing team with the right tool to build meaningful solutions, fast. The Engine gives users the flexibility to customize their ML pipeline from scratch for classification, regression, time-series, or clustering problems or to select an ML solution template to develop their ML application. While both ML development options are guided and require no-coding experience, the latter requires only articulation of business requirements and problem context via a few key steps - everything else is taken care of.

Notable AI solutions include: Customer Churn Prediction Leveraging your manufacturing data to build predictive maintenance strategies Predict online fraudulent transactions and reduce false positives and; Optimize logistics decision-making

  • Managed MLflow Landing page
    Landing page //
    2023-05-15

AI & Analytics Engine features and specs

  • Smart Data Preparation : We smartly recommend actions to perform on your dataset to amplify hidden signals within your raw data
  • Model Recommender and Performance Prediction: Save time and resources, get recommended the machine-learning algorithm best suited to your data with an automatic view of the models' performance prior to training.
  • Flexible Deployment: Whether you need the flexibility and agility of a cloud solution, robust on-premise security, and controls or a hybrid solution that integrates with your existing ecosystem of technologies. We support all major cloud providers and can deploy flexibly to your needs.
  • Model Life-cycle Management: The one-click deployment automatically turns on monitoring of your model. Data submittedto the model for prediction is automatically logged and checked continuously for drift.

Managed MLflow features and specs

No features have been listed yet.

AI & Analytics Engine videos

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Category Popularity

0-100% (relative to AI & Analytics Engine and Managed MLflow)

AI & Analytics Engine

Managed MLflow

Data Science And Machine Learning
21 21%
Data Science And Machine Learning
79% 79
AI
100 100%
AI
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100
Machine Learning
38 38%
Machine Learning
62% 62

User comments

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Social recommendations and mentions

Based on our record, AI & Analytics Engine seems to be more popular. It has been mentiond 1 time 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.

AI & Analytics Engine mentions (1)

  • NEW RELEASE - ML-Solution Templates - Customer Churn Prediction Template
    DISCLAIMER: Hello everyone, my name is Fyona & I work in Marketing at PI.EXCHANGE. I wanted to share an EXCITING news regarding our upcoming release that I think can be helpful to many! The AI & Analytics Engine will be offering a Machine Learning (ML)  Solution Templates, starting with our Customer Churn Prediction Template. Source: about 1 year ago

Managed MLflow mentions (0)

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

What are some alternatives?

When comparing AI & Analytics Engine and Managed MLflow, you can also consider the following products

Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Predera - A light-weight, composable, vertical machine learning operations engine for Healthcare, Retail, and CRMs, one-click scalable deployment, monitoring, governance, explainability

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

cnvrg CORE - Free ML Platform for everyone

Weights & Biases - Developer tools for deep learning research

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