Live Feed of Corporate Changes

Reddit live feed of critical changes that occur on company websites over the world https://www.reddit.com/r/CorporateNews/

Twitter live feed of critical changes that occur on company websites over the world https://twitter.com/aiHitPulse

What is RL3

RL3 (a regex on steroids) is a natural language and unstructured data processing engine with many areas of application including conversational interfaces, interactive agents, semi-structured and unstructured data processing, named entity extraction, web mining, parsing and categorization. For more details refer to RL3 Wiki.

RL3 Standard Library (NLP) is now open-source

The RL3 Standard Library is a collection of modules accessible to an RL3 program to simplify the programming process and remove the need to rewrite commonly used RL3 patterns and predicates.

Our goal is to create a community-driven library of general NLP, unstructured and semi-structured text patterns that can empower personal, research and educational projects.

We welcome any feedback and contributions. Join RL3 Standard Library project on GitHub: https://github.com/jokruger/rl3stdlib

How to Make a Chatbot in Python Using RL3

A guide on building your own simple chatterbot with RL3 and Python. No specialized chatbot platforms or chatbot engines are used.

Read more: How to Make a Chatbot in Python Using RL3

How To Extract Emails From Text File

In the real-world a regular expression may be not the best tool to extract emails due to different anti-scraping techniques used. The following article describes solution for efficient email addresses extraction: How To Extract Email Addresses From Text 

SMART Systems, Digital Products & Fintech World

Most financial software was designed and developed prior to the mass selling of financial products on the Internet. So many struggle to meet the needs of an automated, STP, AI driven world. Banks and insurance companies are moving their products and services on-line or via an app. They are automating many, previously manual processes. Transforming a product from off-line to digital is not easy. Trying to adapt them is time consuming and expensive, plus the results are usually sub-optimal. Most banks/finance organizations were restricted by their platform and some struggling to offer and automate digital products. Growth and profitability were constrained. Time to market, adapt and innovate were too long. Using traditional, pre digital product platforms or trying to adapt them was not working efficiently.

Zoral Platform was designed to overcome these issues. It is a SMART system, one of the most powerful financial platforms in global use today. With Zoral Platform you can manage the entire customer relationship from the moment a lead is referred to your site.

Read more about Zoral Platform and SMART systems.

Boost your Customer Conversion Rate with Behavioral Data

The more you know about your customer, from the first point of contact onwards, the better you can respond. Companies who use behavioral data efficiently are more profitable. They react more quickly and appropriately to customer and market demands.

Behavioral data is derived from human, device or system behavior, as opposed to structured, application data. Typically, during a 1 minute, on-line session, between 5,000 - 12,000 items of behavioral data/features can be collected.

Behavioral data allows you to build a 360° picture of your clients. It can be used for far more than just simple scoring, (e.g. credit scores etc.). Typically, predictive behavior data is combined with “conventional” data such as, application data, credit bureau data. This can significantly boost the accuracy and range of predictive results.

Read more about collecting and using behavioral data in your digital product