Interviewer:
It’s nice that we can see under the bonnet of thalox today.
Thalox:
We see a lot of confusion when it comes to machine learning and artificial intelligence. Having said that, we see a clear mandate to shed some light on it and clear up some general concepts of machine learning.
Interviewer:
To understand the topic a little better, you first must understand the term machine learning better. What is it actually?
Thalox:
At a high level, you can describe it with the use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyze and draw inferences from patterns in data. Especially the statistical dimension is important to understand. A machine learning model needs to work with data that has a positive correlation to a certain event.
Interviewer:
What does this mean in the context of thalox?
Thalox:
We want to give our users the likelihood of their customers interacting with their brand through email marketing initiatives and in this context answer the question of who will very likely click a call-to-action (CTA) within an email. By giving insights into this we help marketers to increase one of their main KPIs the so-called click-through rate.
Interviewer:
Can you give us some insights into how thalox provides an answer to this question?
Thalox:
Giving insights into this kind of question you need to follow these steps:
Interviewer:
This doesn’t sound very complicated. What are your customers’ main questions about this way of processing and what is your answer to it?
Thalox:
We are often confronted with the question of why certain data is not included in our model. Topics like “We think for our business the data about e.g. job title is very important and why is this not taken into consideration in the machine learning model” are regular concerns.
Our answer: It is all about statistics and a positive correlation to a certain event.
To make it simple: Does wearing flip-flops have an impact on or influence on the weather being sunny and nice?
The answer is a clear no. Wearing flip-flops might be a result of but not a criterion for good weather.
In a nutshell, identifying the right attributes that have a positive impact on the event of interacting with a brand is key and not always easy to understand. Understanding and accepting this is key to being successful when using machine learning techniques. It is about understanding the result of vs. influence on a certain event.
Furthermore, in most cases, there is not enough data across the whole data set available for a certain attribute which makes it irrelevant for machine learning.
Our answer: We provide data insights about the fill rate of a certain attribute to give insights into identifying areas to improve data quality and fill rate of the same.
By providing this kind of information we give marketers the tool at hand to systematically increase the accuracy and availability of their contact data.
Interviewer:
What makes thalox different from other solutions out there?
Thalox:
Our main mission is to democratize machine learning techniques and make them easily available for marketers.
Our customers don’t need a team of data engineers and machine learning specialists to leverage the power of the same.
Our algorithm automatically detects the right data and generates a custom machine-learning model based on the customer-specific data and refines it over time.
Provide insights into our customers’ data to identify areas to improve their data quality. And last but not least continuous learning and improvement of the algorithm to consider the latest data and automatically adapt the model whenever necessary.
Interviewer:
That sounds exciting!
Thalox:
It is, and with every customer, we learn and get better.
Interviewer:
One final question to close the loop again. That means the more campaigns a client does, the better it is?
Thalox:
No, absolutely not. The marketer must create targeted campaigns based on the segments identified by thalox in order to improve the quality of the data and to develop the engagement of the contact base with the brand. Running targeted communication also prevents the database from being burnt because contacts are unsubscribing if they are getting spammed.