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Description
Flyte is a robust platform designed for automating intricate, mission-critical data and machine learning workflows at scale. It simplifies the creation of concurrent, scalable, and maintainable workflows, making it an essential tool for data processing and machine learning applications. Companies like Lyft, Spotify, and Freenome have adopted Flyte for their production needs. At Lyft, Flyte has been a cornerstone for model training and data processes for more than four years, establishing itself as the go-to platform for various teams including pricing, locations, ETA, mapping, and autonomous vehicles. Notably, Flyte oversees more than 10,000 unique workflows at Lyft alone, culminating in over 1,000,000 executions each month, along with 20 million tasks and 40 million container instances. Its reliability has been proven in high-demand environments such as those at Lyft and Spotify, among others. As an entirely open-source initiative licensed under Apache 2.0 and backed by the Linux Foundation, it is governed by a committee representing multiple industries. Although YAML configurations can introduce complexity and potential errors in machine learning and data workflows, Flyte aims to alleviate these challenges effectively. This makes Flyte not only a powerful tool but also a user-friendly option for teams looking to streamline their data operations.
Description
Poetic is an advanced AI framework that assimilates knowledge similarly to other AI systems, yet it operates with the exactness characteristic of programming. Its purpose is to convert various inputs, including procedures, training resources, audio recordings, visual workflow representations, and historical case studies, into effective automation processes. Users have the ability to upload standard operating procedures, PDFs, training videos, and additional documentation related to processes, which Poetic then analyzes to generate an initial draft of an automated workflow. Following this, it enhances its outputs by integrating expert feedback, progressively refining its performance under the mentorship of the organization’s most skilled personnel until achieving a level suitable for production. For instance, when tasked with reviewing a dispute case, Poetic assesses card freeze and unfreeze events, articulates the outcome of the investigation, presents the evidence utilized, and incorporates suggestions to enhance its decision-making process. This includes broadening the review timeframe to identify more instances of first-party fraud, ultimately leading to improved accuracy and quality in decision-making. In this way, Poetic not only automates workflows but also evolves to meet the specific needs of the organization more effectively over time.
API Access
Has API
API Access
Has API
Integrations
AWS Batch
Amazon SageMaker
Apache Hive
Apache Parquet
Apache Spark
Dask
Dolt
DuckDB
Feast
Google Cloud BigQuery
Integrations
AWS Batch
Amazon SageMaker
Apache Hive
Apache Parquet
Apache Spark
Dask
Dolt
DuckDB
Feast
Google Cloud BigQuery
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Union.ai
Founded
2020
Country
United States
Website
flyte.org
Vendor Details
Company Name
Poetic
Founded
2023
Country
United States
Website
poetic.com/product
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization