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Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications

AWS Machine Learning

A number of AWS independent software vendor (ISV) partners have already built integrations for users of their software as a service (SaaS) platforms to utilize SageMaker and its various features, including training, deployment, and the model registry.

SaaS 75
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How Vericast optimized feature engineering using Amazon SageMaker Processing

AWS Machine Learning

One aspect of this data preparation is feature engineering. Feature engineering refers to the process where relevant variables are identified, selected, and manipulated to transform the raw data into more useful and usable forms for use with the ML algorithm used to train a model and perform inference against it.

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What is SaaS and Why do CX Teams Go Crazy for It?

Babelforce

In this post: What is SaaS? What sets SaaS apart? How does SaaS add value to CX? CX strategies that SaaS makes possible. What is SaaS? SaaS stands for Software as a Service. Software as a service (SaaS). SaaS is the most commonly used model. What sets SaaS apart? Virtualisation ? ? ?

SaaS 52
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3 steps to customer survey automation

delighted

Great examples of automated distribution include survey integrations and Application Programming Interface (API) connections. And, setting up APIs can link two applications to one another for data sharing/interacting purposes, making manual uploads a thing of the past. Create custom APIs for more complex use cases. Not to worry!

Surveys 97
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How VistaPrint delivers personalized product recommendations with Amazon Personalize

AWS Machine Learning

These challenges led to the decision to create a new cloud-native system that can scale with increased demand and consists of serverless and software as a service (SaaS) components that externalize much of the domain-specific functionality to allow for easier operations and faster time-to-market for changes.

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Understanding the Aircall Tech Stack: Programming Languages, Frameworks, Tools & More

aircall

In every interview, engineers ask: “What’s your Tech Stack, and what tools do you use?”. The Aircall engineering team is nearly 200 people, organized in agile teams owning different business domains like Telephony, User Management, Dashboard, Integrations, and so on, with more than 30 teams in total. SaaS Tools. Harvestr.io

SaaS 62
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InformedIQ automates verifications for Origence’s auto lending using machine learning

AWS Machine Learning

To classify and extract information needed to validate information in accordance with a set of configurable funding rules, Informed uses a series of proprietary rules and heuristics, text-based neural networks, and image-based deep neural networks, including Amazon Textract OCR via the DetectDocumentText API and other statistical models.

APIs 72