Zendesk Reviews

1. stu14

   16 days ago
   Clunky & awful customer service

   Would give them 0/5 if I could!

   🏁 Competitors: HubSpot, Freshdesk

   👎 Cons:    Customer support|Ux/ui|Limited features

Amazon SageMaker Reviews

Zendesk mentions (7)

• The Ultimate Guide to Building Internal Tools in 2024

  Popular solutions ****include Zendesk and Help Scout. - Source: dev.to / 8 months ago

• is this scam

  That's not a reddit a url. zendesk.com is the url, whatever the hell that is. Source: over 1 year ago

• [HELP] Can't log in to upload SSL due to expired SSL

  Had my new SSL delivered at around the same time as my old one expired and now I can't log in due to it having expired. Is there an alternative URL I can get to, to log in? I've tried zendesk.com and hoped for a backend route through there but no cigar. Source: almost 2 years ago

• Special trick to get support for battery replacement ?

  Seven hours later and I have still not received a new email from "BOOXHelp help@boox.com via zendesk.com" (or other boox/onyx email). The last human-generated email I got from there was two days ago (Wed, Aug 31, 3:15 PM). Source: almost 2 years ago

• Here's how I'd figure out the go-to-market for a Customer Support SaaS

  My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years ago

Amazon SageMaker mentions (37)

• Quantum Convolutional Neural Networks

  Amazon SageMaker is a fully managed service for data science and machine learning (ML) workflows You can use Amazon SageMaker to simplify the process of building, training, and deploying ML models. - Source: dev.to / about 1 month ago

• Observations on MLOps–A Fragmented Mosaic of Mismatched Expectations

  Damn straight. Oh, wait, some vendors have claimed to build an end-to-end solution. But, meh, that’s marketing talk. Take, for example, a well-known platform like Amazon Sagemaker, which describes itself as “a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning (ML) for any use case.” It’s a great platform. My startup has even partnered with them.... - Source: dev.to / 2 months ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 3 months ago

• Beginning the Journey into ML, AI and GenAI on AWS

  Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 5 months ago

• Technical Architecture for LLMOps

  Amazon and Azure already have much of what you're talking about in AWS SageMaker and Azure MLOps. Source: about 1 year ago