Zoho Desk is the award-winning, context-aware help desk software along with multichannel capabilities. Zoho Desk packs advanced multi-stakeholder process management, embeddable self-service, a powerful AI assistant, and brings together all the tools and context your teams need to deliver great customer service.
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What I like the most is that it really is very intuitive and easy to use. It helps to control the tracking of every ticket in a easy way. Also one can import its customers without any problem. It has many other tools that can be useful regardless the item which company is using on day to day basis. It can start a live chat with the user and can go straight creating a ticket from this internment. Ticket tracking and escalation matrix enables company to track and manages customer complaints on time.
Previous to using Zoho, we were managing all our CS in our email inbox. Items were getting lost or forgotten about and it was driving me crazy. Zoho has an excellent suite of products and this one is no exception! Easy to use (the basics at least). And, it's very inexpensive.
Previous to using Zoho, we were managing all our CS in our email inbox. We used Zoho Desk when starting out when we needed a way to manage customer support outside of email. Zoho Desk is a basic customer support software - great that there is a free version for starting out.
Based on our record, Apache Airflow seems to be a lot more popular than Zoho Desk. While we know about 68 links to Apache Airflow, we've tracked only 1 mention of Zoho Desk. 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.
Desk β Customer Support management with 3 agents and private knowledge base, email tickets. Integrates with Assist for 1 remote technician & 5 unattended computers. - Source: dev.to / almost 3 years ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 5 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 / 16 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
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