Insights

Business Challenge Stress testing is commonly used by banks to evaluate their financial resilience under difficult economic conditions and crisis scenarios. Stress tests allow banks to ensure that there is sufficient capital to insulate themselves against economic challenges. Governments and regulatory bodies across the globe have imposed strict regulations in terms of stress testing to […]

Artificial intelligence (AI) is becoming an increasingly important tool for businesses across industries, and the retail banking sector is no exception. From improving customer services to fraud detection, AI has a wide range of use cases in this industry. As the competition in the industry continues to intensify, it is crucial for executives to understand […]

Business challenge Retail banking encompasses several crucial analytics tasks, among which credit risk assessment takes top priority. Credit scores underly a range of retail banking activities; loan approvals and individual interest rate calculations are two key applications. Wrong lending decisions can set off ripple effects in a bank, and may even impact the larger financial […]

Business challenge  Accurate prediction of market movements is crucial for success in financial trading. Quantitative factors such as historical prices, economic indicators, and company performance metrics are extremely useful in analysing and predicting market movements. However, incorporating qualitative information into the decision-making process is essential for a more comprehensive understanding of the market. A critical […]

Artificial intelligence (AI) has transformed the finance industry in recent years. One area where AI has made a significant impact is quantitative trading, where algorithms are used to analyse large amounts of financial data and make trades based on patterns and trends. While statistical methods have been used for many years in finance to analyse […]

Hugging Face is widely known across the AI industry for its capabilities in natural language processing (NLP). Hugging Face has a large, open-source library containing pre-trained models including large language models (LLMs). LLMs such as BERT, RoBERTa, and GPT are particularly known for their cutting-edge natural language processing capabilities. evoML has now integrated Hugging Face […]

  Business Challenges A key necessity in financial decision-making is the ability to predict how prices of assets and securities change over time. In financial trading, volatility refers to the extent to which the prices of a given financial asset rise or fall compared to the mean price. Volatility is an important measure of the […]

ChatGPT has sparked various conversations across the AI industry on the emerging role and capabilities of generative AI. There are many questions being raised: How accurate are the results produced by generative AI? Will these tools replace humans? What are the ethical implications of using AI to generate content? Since generative AI is still in […]

All Aboard the Hype Train! Artificial intelligence (AI) has been all the rage in the tech world, with companies claiming to have the best AI-powered solutions. But let’s be real, most are just riding the AI hype train. So what makes TurinTech’s evoML different? I’m sure many are aware that some companies add blockchain and […]

The 2022 Qatar World Cup is here! As the most widely watched sporting event in the world, there is a lot riding on the outcome. But can we predict who will win? At first, this seems to be a very hard prediction to make. There are 32 teams in the competition and a total of […]

In a series of articles focusing on code optimisation, we discussed how optimising the performance of AI applications and machine learning models can bring about various benefits to businesses. Optimised model code reduces inefficiencies, boosts model speed, and facilitates teams to take models from conceptualisation to production in weeks, not months. These factors are inevitably […]

Automated machine learning (autoML) has significantly impacted AI work practices across industries — simplifying, streamlining, and accelerating data science processes. A typical high-performing autoML tool offers functionalities in data preprocessing, feature engineering, model development, and model evaluation, which can be executed with minimal human intervention. AutoML gives companies the opportunity to integrate AI solutions into […]