eldr.ai | blog


Communicating the benefits of AI to non-tech end users

After some interesting feedback from the girls and boys at www.ukbusinessforums.co.uk it's become apparent that communicating AI to the people who will benefit from it might not be as straightforward as first thought.

Predicting crime using AI - Minority Report comes true

Every time I tell people that eldr.ai can be used to predict crime, the immediate response is "minority report!" and rightly so there is some scepticism there, but AI can now genuinely be used to predict and prevent crime. Perhaps not as glammed up as Minority Report is and it certainly can't visualise the future, but it can definitely predict crime. Here I show how it does it.

How to easily create and integrate an AI chatbot on your website or systems

Chatbots are being increasingly used by companies and organisations externally on websites and internally to handle support calls. Here I show how you can easily create your own AI chatbot, specific to your operations, yet dynamic enough to respond to a wide variety of questions.

AI explainer videos to be released shortly

We're going to be releasing some explainer videos on the eldr.ai YouTube channel to describe the key functions of AI.

Natural Language Processing NLP on both sides of an Artificial Neural Network using Deep Learning

We've been experimenting with using eldr AI for NLP on the input side, output side, and both sides of an Artificial Neural Network (ANN) using various settings including Softmax and Cross Entropy. Here I talk about these fascinating results.

AI Recommendation Engine Integration

AI Recommendation Engines are powerful and common uses of AI. They are able to learn from all customer data and work out accurately what products particular customers may be interested in based on the behaviour and demographic of other customers. How a real AI Recommendation Engine/ Recommendation System (Recsys) works is different to how you might think - if you're used to traditional software techniques. It uses some sophisticated maths that are actually interesting, using three dimensional mappings as opposed to tonnes of database calls and bog standard code. Here I discuss how it all works.

How Customer Churn in AI works

Customer Churn is becoming one of the common uses of AI. Customer Churn is essentially Customer Retention Analysis - that is the ability to know how likely a customer is to remain with you during initial contact/browsing, following a purchase, and/or long term or permanently. Knowing or accurately predicting whether a customer will buy products or services off you at every stage (from their first visit to your store or website, or as they use your services) is absolutely key to modifying your behaviour, appeal and incentives to that particular customer in order to maximise sales and promote growth.

Should you be concerned about bias and discrimination in AI?

With AI use and discussion growing rapidly, ethics has been increasingly brought up as a genuine concern in some cases such as Human Resources (HR) - or any scenario where AI is taking over the decision process when selecting or judging human beings. One major talking point is bias and/or discrimination that might be present in AI systems e.g. when selecting a candidate for a new role does AI automatically disregard candidates with a certain education or background? Here I will discuss where this bias comes from and why it isn't AI that we should be concerned with.

AI can spot anomalies during auditing much faster than humans can

Anomaly detection using AI is a powerful and efficient way of spotting anything unusual in any process, data or system - it's easy to do using an Artificial Neural Network such as eldr.ai, it's fast and it's accurate.

AI in the NHS to improve patient journey and outcome

When a patient first presents at the NHS - generally either through a GP or Accident and Emergency, their correct journey through treatment and services is absolutely essential for a successful therapeutic outcome, as well as for the NHS to provide their services within time and budget. Generally the patient journey involves Diagnosis, Treatment, Recovery, Referrals, Second Opinion and Private Options, in various orders.

Using AI to improve Professional Sport

AI is being used in almost all industries. One industry or use that many people might not be aware of is in professional sport. Using AI in professional sport such as football including the Premier League and motor racing such Formula 1 can massively improve efficiency at all levels, ultimately promoting more wins.

AI and Smart Cities

Smart Cities use a variety of sensors such as cameras and movement/pressure monitors dotted around towns, cities and infrastructure in order to gather vast amounts of data about the entities operating in that space, e.g. People and Traffic. The goal is to improve efficiency.

ELDR can carry out full Natural Language Processing

We've put in NLP functionality meaning that eldr AI can now learn from full text, sentences, words etc, at the same time learning from values, categories and continuous data in the same Artificial Neural Network.

ELDR AI First round of funding starting 23rd April

Fennaio will be starting the first of round of funding for our main AI software ELDR www.eldr.ai on 23rd April, 2021.

eldr AI Decision Intelligence

With eldr AI, you can create and deploy Decision Intelligence in any business process within five minutes.

We did it - ELDR AI is released

ELDR AI is released today 12th March.

Ok, it is 2 months overdue, but that's only because of our never ending creativity and insatiable need for stress.

ELDR AI to be released on 19th March

ELDR AI our flagship Predictive Analytics, recommender and insights web based fully customisable integrable dynamic Artificial Neural Network software will be released on 19th March.

ELDR AI now visualises Insight

Even as the people who developed ELDR AI, we never really knew what was going on inside all the artificially created neurons. With ELDR Insights we can now see how powerful it is.

ELDR AI will be released with Flavours and Recipes

ELDR AI can learn anything. We built it that way - to tackle any learning task in any industry. We realised this is just in our heads, and people who use ELDR will need to know how it can be used by them. For this, we have created Flavours and Recipes.

Dynamic Embeddings, Batch Normalisation and Dropouts added to ELDR AI

We've been busy adding extra features to ELDR AI prior to release of v1.0 at the end of January. We have been able to successfully integrate dynamic Embeddings, Batch Normalisation and Dropouts in relevant layers throughout the AI Engine making it even more adaptable, robust and powerful.

ELDR AI is due for release in March 2021

We're on track to release ELDR AI by the end of March 2021.


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