Nekton is a service that will help you automate your workflows using generative AI. You can describe your workflow or a business process in plain text steps, and then those steps will be automated by Nekton and executed in the cloud. Automate the routine processes for yourself and your team without needing to code or maintain infrastructure. You can create step-by-step guides, mix together manual and automated tasks in a single workflow, and share the workflow with your teammates.
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Nekton.ai's answer:
Just use plain English to describe your workflow steps. If the step can be automated, Nekton AI will write automation code for you and run it in the cloud. It's easy to get started, and you don't need to learn any complicated tools.
Nekton.ai's answer:
Nekton integrates with thousands of services and can automate different business and personal workflows.
Based on our record, Apache Airflow seems to be a lot more popular than Nekton.ai. While we know about 68 links to Apache Airflow, we've tracked only 1 mention of Nekton.ai. 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.
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 3 days ago
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 14 days ago
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / about 1 month ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 8 months ago
No idea. There's this I guess. https://michigan-post.com/redditors-from-r-wallstreetbets-call-attention-to-possibility-that-an-sec-investigation-of-openai-ceo-sam-altman-and-microsoft-ceo-satya-nadella-may-soon-be-filed/ The only other take I'm aware of is that a startup called nekton.ai claims to be using this situation as a test of whether AI (ironically, Bing Chat) is any good for legal research & analysis.... Source: 7 months ago
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