Amazon SageMaker Reviews

Iterate Reviews

1. breakthrough-tom

   | Growth Marketing at Breakthrough | almost 3 years ago
   Quick way to Gather User Information

   I love working with Iterate because it eliminates the need for bulky 50 question user surveys, live in person focus groups (was lovely during covid when this couldn't happen at all), and sifting through Google Analytics data for 'trends' to answer questions.

   We use Iterate because we're constantly testing new features on our site, landing pages with media spend, and messaging tactics. Iterate provides a single script to drop into your source code and then you can create custom branded surveys that keep the user on your site. We've been able to increase conversion rates, launch new products/services and get event/registration hesitation feedback in days/weeks instead of trying to decipher was directional data tells us.

   🏁 Competitors: Survey Monkey, Qualtrics

   👍 Pros:    Easy to track data|Guest satisfaction survey|User friendly interface|Embeddable feedback widget

   👎 Cons:    Can't use survey buttons to create second step on website

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

Iterate mentions (1)

• User survey feedback api for flutter.

  For example, there is this product , but it does not support flutter. Source: about 3 years ago