Voyance Vison, Automated Data Extraction Automated Data Entry for Compliance: From Images to Excel Businesses are always dealing with individuals and their data for processes such as customer authentication. This is why identity data is very important. Customers' documents like IDs are often collected
Data Management A Complete Guide to Data Transformation Data is the new gold. As organizations ingest more data daily, there is a need to make the best out of it. This can only be possible through data transformation.
Data Warehouse All You Need To Know About A Data Warehouse Prior knowledge of a warehouse is that it is used for storage. A data warehouse is not any different. This piece would enlighten you on what a data warehouse is
Deep Learning Data Augmentation Techniques For Deep Learning When You Have A Limited Dataset Data augmentation for deep learning
Machine Learning An introduction to Machine Learning and its benefits Have you encountered challenges in understanding machine learning, its importance, types, and application in the real world? This article promises to aid your understanding of machine learning and its significance
Machine Learning Inserting Machine Learning Into Your Workflow: Uses and Problems "Machine learning is improving almost any function and process automation by enabling operational adaptation based on changing conditions" -Bruce Guptil Machine Learning has grown to be a popular term in
Voyance Vison, Automated Data Extraction Practical Applications of Automated Information Extraction for Industry Use -Try Voyance Vision for free In this article, you’ll find all the information you need on solving your business problems by automating data extraction from documents. This is for
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.
