evoML success stories: Optimising bank stress testing with advanced AI
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AI Insights, 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 […]

Top 5 AI Use Cases for Retail Banking
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AI Insights, Insights

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 […]

evoML success stories: Improve accuracy of credit scores with AI
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AI Insights, Insights

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 […]

evoML success stories: Using market sentiment analysis to generate more accurate and efficient trading decisions
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AI Insights, Insights

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 […]

Top 5 AI Use Cases for Quantitative Trading
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AI Insights, Insights

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 on evoML: build custom generative AI models – top use cases for Financial Services
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AI Insights, Insights

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 […]

evoML success stories: Improve Implied Volatility Prediction in Financial Markets with Machine Learning
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AI Insights, Insights

  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 […]

Generative AI for Code: what you need to know in 2023
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AI Insights, Insights

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 […]

When AI is Supercharged
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AI Insights, Insights

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 […]

Minimising the Cost of AI with evoML during an Economic Downturn
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AI Insights, Insights, Optimisation Lab

Costs of AI/ML: How Expensive Is it to Develop and Maintain AI Solutions? In the past few months, we have been closely monitoring emerging economic trends and the government’s fiscal and monetary policy decisions to better understand their impact on the AI space. Recently released Autumn Statement 2022 and the Economic and fiscal outlook – […]

Four Benefits of Optimising Code for Memory Efficiency
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AI Insights, Insights

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 […]

How to Achieve Optimal Performance: Code Optimisation in the AI ecosystem
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Insights, Optimisation Lab

Boosting performance is a priority in the AI space. Businesses will not hesitate to make large investments to achieve even a marginal improvement (e.g. increased accuracy, speed) in AI systems. A range of factors impact the performance of AI; high-quality data, infrastructure, code, and the right talent are all crucial elements of a thriving AI […]

Six Benefits of Owning Your Machine Learning Code
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AI Insights, Insights

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 […]

Brytlyt Partners with TurinTech to Build and Deploy AI Code with Speed and Scale
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Insights, TurinTech News

London, UK; 12th October 2022: Brytlyt, the accessible deep learning platform, has selected TurinTech, the code optimisation company, as its partner to unify data science and business intelligence and streamline the model development process for customers. As the world’s first all-in-one browser-led platform that enables GPU in-database AI with deep learning capabilities, Brytlyt helps organisations to turn data into actionable […]

Explainable Artificial Intelligence (XAI): Overcoming the Challenges with evoML
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Insights, Optimisation Lab

“Investor Sues After an AI’s Automated Trades Cost Him $20 Million.” The headline that shook the financial sector in 2017. A trading activity between Tyndaris Investments (a company that launched a robot hedge fund) and a Hong Kong real estate investor led to an outburst of controversy and legislation. Worrying questions started to rise: What […]