Cutting Edge Artificial Intelligence
Each year companies are investing more and more in AI technology. In the short period between 2015 and 2019, the number of enterprises using AI grew by an eye-watering 270%! This trend shows no sign of stopping, and it's predicted that by 2030, AI could be a 15 trillion dollar industry.
A study of executives found that enhancing features, functions, and performance of products was the primary goal of AI in business. However, the use cases of AI in industry are wide-ranging. You get everything from spam filters, smart email, process automation, surveillance to advanced conversational AI, chatbots, smart personal assistants, and more.
As AI continues to gain popularity, its use cases are expanding and evolving into new areas. But use cases aren't the only thing that's evolving. AI itself continues to grow more advanced every year. However, there's a problem. Approximately 60% of businesses cite a "shortage of data science talent" as the primary barrier to realizing their AI potential. That's where AI Superior comes in.
What Does It Include?
Our team of experts is continually sharpening their skills in the latest AI technology. We seek out cutting-edge AI technology and master it to bring more value to the businesses we work with. Here are just some of these examples of advanced AI we have been working with recently.
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Deep Learning
The human brain consists of an advanced network of cells called neurons. Deep Learning, a cutting-edge subfield in machine learning, aims to model algorithms similarly to how the brain does.
DL is excellent at adding value through supervised learning from labeled data - something that businesses have a lot of. To put it simply, deep learning can handle more data, create bigger models, and handle more computation. This leads to better algorithms and advanced new insights. Deep learning models are highly flexible and scalable, which means they can continue to advance far beyond their original creation. Studies from McKinsey forecast that several industries might be affected by Deep Learning. -
Reinforcement Learning
Reinforcement Learning is the process of training machine learning models to make the correct decision through punishment and reward. To train the model, the AI usually gets rewards or penalties for each action it performs. Through reinforcement, it becomes better at achieving the desired outcome.
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Generative Adversarial Networks (GANs)
GANs have been described as the "most interesting idea in the last ten years in Machine Learning." GANs can generate new content by learning patterns in the training data. The machine learning algorithm is usually unsupervised and will have two core components. Firstly, it will train to generate new content. Secondly, a discriminator model will try to classify whether that content is real or fake. If you can fool the model, you can have a high degree of confidence in the content.
- Core Machine Learning
- Finance
- Industry
- Technology
How Artificial Intelligence can help with credit Scoring | Credit Scoring AI
The quality of the underwriting process is critical for the successful business of lending. Complete automation of the process with a machine learning model that takes a decision significantly improved the loan portfolio quality and increased the speed of decision-making. We developed a model to predict events of borrower default. The model demonstrated superior to human performance and improved the health of the loan portfolio. It also enabled a loan borrower’s positive experience due to quick decisions on their loan application.
- Core Machine Learning
- Industry
- Insurance
- Technology
How Artificial Intelligence can help with Risk Management
For a niche insurance company operating in a medical/health domain, we developed a prediction machine learning-based model to estimate the risk of an economical loss. The machine learning model is based on neural networks and built by consuming historical medical data over five consecutive years. The developed model significantly outperformed statistical approaches. With this model, the customer was able to optimize its pricing policies which resulted in significant savings.
- Core Machine Learning
- Industry
- Internet
- Technology
How Artificial Intelligence can help with Skill Analytics | AI and Automated Interview Process
We developed automated candidate scoring and candidate-to-company matching systems that allowed our customer (an online recruiting company) to automate the process of assessing technical skills thoroughly. Due to the success of the solution, scoring experts were able to save 800 man-hours per month. Additionally, they enjoyed advanced functionality to their platform.
- Core Machine Learning
- Finance
- Industry
- Technology
How Artificial Intelligence can help Social Media Analytics | AI in Social Media Data Analysis
For a banking organization, we developed an interactive tool that performs social media data analysis to facilitate marketing activities by understanding audience interests, social group affiliation, demographics, etc. The solution enabled the bank to provide discounts and offers to increase loyalty and decrease churn.
- Core Machine Learning
- Industry
- Real Estate
- Technology
How Artificial Intelligence can help Real Estate Property Price Estimation | AI in Real Estate Market Movement Predictions
We developed a tool based on a machine learning model to automate real estate object estimation and find attractive offers on the market. The tool can also monitor the real estate market to identify ongoing trends. The component allowed the customer to obtain real estate market insights that are hidden from other stakeholders. Due to the tool’s success, the customer achieved a distinct competitive advantage and has already undertaken approximately 20 million euros worth of real estate in-vestments based on the insights obtained through the solution.
- Core Machine Learning
- CV
- Government
- Industry
- Technology
How Artificial Intelligence can help with Traffic Analysis | AI in Road Traffic Safety Management System
We developed a road traffic analysis system for a system integrator executing a governmental project. The developed system can process video streams from traffic cameras and perform analysis of road scenes: detect objects and estimate their properties (trajectory, speed, etc.), identify traffic jams and violations, recognize car models and their license plates, and more. The system provides a safer environment for the city and the ability to monitor roads without human intervention.
- Core Machine Learning
- Media
- Technology
How Artificial Intelligence can support Content Recommendation | AI in Recommendation Content
To help a media company increase the lifetime value of their customers, we developed analytics to provide item recommendations from a diverse set of customer sources. This promoted improved customer engagement and retention as well as boosting loyalty.
- Core Machine Learning
- Industry
- Internet
- Technology
How Artificial Intelligence can help with Customer Churn | AI in Consumer Churn
Understanding the reasons and preventing customer churn is a critical component for sustainability of customer-oriented business. For one of the online gaming platforms AI Superior created a machine learning model that learns player behaviour over the course of the game and predicts the probability of churn for a particular time horizon. This solution helped a customer to predict the player’s churn event and employ the most relevant retention strategy. As the results of this project our customer was able to decrease churn to 11,3%.
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