Voyance

Voyance Vison, Automated Data Extraction

How to extract text from images with OCR technology.

Text extraction from images is a process of converting characters in an image into editable text, which can then be saved as a Word document or PDF.

Voyance Vison, Automated Data Extraction

What is data extraction? Four Reasons for Extracting Data.

Data extraction is the process of pulling out data from various sources (unstructured or poorly structured) in order to process it further or store it.

Voyance Vison, Automated Data Extraction

How to Train a Simple Recognition and Extraction Model with Voyance Vision.

Voyance Vision is an exciting technology that allows users to automatically detect objects (regions of interest) in images and extract text from those regions.

Infrastructure as a Service

Voyance Vision; an Automated Data Extraction Platform.

Voyance Vision is a part of Voyance Cloud that allows businesses to create and train models or use existing models created by our Data Engineers to extract texts from documents such as invoices, receipts, passports, drivers licenses, or other forms of documents.

Infrastructure as a Service

A- Z of Automated Underwriting in Insurance.

Automated underwriting is underwriting sponsored by technology. It is a faster, easier and more accurate way of carrying out underwriting procedures. With the aid of software programs, underwriters can evaluate risks faster and save costs associated with manual underwriting.

Infrastructure as a Service

What is Infrastructure-as-a-Service (Iaas)?

IaaS are platforms that provide computing, storage and networking resources on a pay-as-you-go basis for businesses.

Data Science

How to Perform K-Fold Cross Validation (A Step-by-step Guide)

A Step-by-Step Guide to K-Fold Validation -Determine the value of k, -Split your dataset into k different groups of equal sizes. -Select the first group -Set the chosen group to be the validation dataset .....

Data Science

6 Ways to Deal With Imbalanced Classes In a Training Data Set.

How to Handle Class Imbalance for training models. 1. Collect More Data 2. Change How You Measure Performance 3. Generate Data 4. Use Penalized Models

Getting Started

8 Things to look for when choosing a Data Management Platform.

It is important to understand that your goals are the most important factor in choosing a platform. What do you want to achieve? Do you want to be able to collect and organise your data – currently in different silos – into one central platform, so you can learn more about your audience?

Marketing

How to Get Loyal Customers that become Brand Ambassadors- AI For Customer Experience.

By 2025, an estimated 95% of customer interactions will be supported by AI Technology. In this post, I will be showing you how to use AI to improve and personalise your customer’s experience and eventually get them to become loyal to your brand.

Marketing

Using Data Analysis Tools to Achieve Effective, Data-driven Marketing

Data-driven marketing is using data to better understand your customers. Exploiting data to discern their motivations, their pain points, behaviour, and preferences.

Getting Started

Understanding the Role of Data Integration In Businesses.

Data integration is the process of combining data types and formats from different sources into a single, unified location. The goal is to enable business owners to make effective, actionable business decisions.

Events

How SaaS Businesses Can Increase Revenue With Customer Churn Analysis.

With machine learning models, you can create customer retention marketing campaigns that will further reduce customer churn risk by targeting customers with more potential to stay and increase loyalty. This will help your business assign resources where they will yield the most profit.

Getting Started

Six Best Practices Every Data Scientist Must Know.

Best Practices for Data Science Use the Right Tools Be Data-driven Establish a CoE Avoid Unclear Semantics Practice Model Validation Be Security Conscious

Getting Started

A Beginner's Introduction To Data Science

Businesses are increasing revenue, detecting customer churn before it happens and using forecasting tools to coordinate an efficient supply chain. All with the help of data science.