AI Insights

Artificial intelligence for hedge funds: How can machine learning and code optimisation generate greater alpha?

The applications of AI in the financial sector are multi-faceted. In this article, we explore…



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AI in Healthcare: How can AI optimisation help shape the future of healthcare?

AI is rapidly evolving across all industries, especially when it comes to meeting consumer needs…



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Three ways AI optimisation can revolutionise the financial sector

Financial services are turning to AI to help analyse data, identify market trends, and prioritise…



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Rethinking AI’s Carbon Footprint

One important (but seldom discussed) aspect of AI is its carbon footprint. Many are surprised…



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Customer Churn Prediction and Prevention Using AI

Customers are at the heart of any business. Growth of a company depends heavily on…



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5 AI Mistakes and How to Avoid Them in Your Organisation

There are countless benefits of incorporating AI into your business, including company efficiency, customisation and…



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Four Factors to Consider When Building & Scaling AI

Increasingly more organisations are adopting AI solutions to refine decision-making processes. From understanding consumer sentiment…



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From AI-ready to AI-efficient: TurinTech joins the DataXpresso podcast

With digitalisation accelerating, more and more companies are adopting AI to maximise their company value….



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Legislate meets TurinTech: How AI is improving sustainability and making a difference in the Legal sector

TurinTech Co-Founder and CEO Dr. Leslie Kanthan recently joined the Legislate Podcast  to discuss all…



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How to empower data scientists

Artificial intelligence and machine learning have long been acknowledged by business leaders as a means…



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Why AutoML Is Not Enough for Scaling AI

1. Introduction: The practice of building AI is rapidly becoming automated. Automated Machine Learning (AutoML)…



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Optimising AI with Multiple Objectives

Artificial Intelligence (AI) is an iterative optimisation process to achieve multiple objectives. In a real…



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Machine Learning vs Statistical Modelling: which one is right for your business problem?​

  In our last blog, we briefly introduced statistical modelling (SM), which is used by organisations…



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