Category: AI Insights

In a previous article, How to achieve optimal performance: code optimisation in the AI ecosystem, we looked at the value of code optimisation in the AI ecosystem and the ways in which machine learning model code can be optimised. Code optimisation is critical in improving the performance of machine learning models and AI solutions. Prediction […]

Do you agree we are approaching the tipping point in the history of our planet? Sounds dramatic, doesn’t it? And unfortunately, it is as serious as it sounds. Over the years there have been many warnings about the imminent dangers looming over our cherished planet but not many tangible actions have been taken to tackle […]

The applications of AI in the financial sector are multi-faceted. In this article, we explore some key use cases of AI for hedge funds. We also look at potential challenges in implementing AI-based solutions, and how hedge funds can circumvent these challenges. In an analysis done in 2020, consulting and research firm Cerulli claims that […]

AI is rapidly evolving across all industries, especially when it comes to meeting consumer needs and tackling tough business challenges. In the health industry, it’s particularly important to evolve AI accuracy without sacrificing transparency and trust.  This difficult trade-off can be tackled more easily with AI optimisation, the cutting edge AI technology that enables organisations […]

Financial services are turning to AI to help analyse data, identify market trends, and prioritise tasks. It can also identify fraud, refine customer experience, and boost cybersecurity.  Financial institutions generate high volumes of information and AI plays a pivotal role in handling this data efficiently. For example, Accenture data shows AI can increase banks’ revenue […]

One important (but seldom discussed) aspect of AI is its carbon footprint. Many are surprised to learn that the average carbon footprint of AI can be equivalent to five times the emissions created by the average car over its lifetime.  At a time when many businesses are committing to net-zero carbon emission and consumers are […]

Customers are at the heart of any business. Growth of a company depends heavily on the company’s ability to acquire new customers as well as its ability to retain existing customers. According to Bain & Company article Retaining customers is the real challenge, a 5% increase in customer retention can increase company profits by as […]

There are countless benefits of incorporating AI into your business, including company efficiency, customisation and innovation. However, we understand that adopting AI may be challenging at first if you have never done it before. You need to collect the right data, find the right AI tools for your organisation, and train team members to be […]

Increasingly more organisations are adopting AI solutions to refine decision-making processes. From understanding consumer sentiment to preventing financial fraud, the applications of AI are multi-faceted. However, building robust AI solutions can be costly, financially and otherwise. At TurinTech, we believe developing and scaling AI is all about optimising four crucial elements in your AI ecosystem.   […]

With digitalisation accelerating, more and more companies are adopting AI to maximise their company value. In recent years, businesses have realised that they need to actively scale AI efficiently or risk being left behind. In the era of all things digital innovative technologies like AI optimisation, is empowering organisations to capitalise on opportunities better and […]

TurinTech Co-Founder and CEO Dr. Leslie Kanthan recently joined the Legislate Podcast  to discuss all things AI with podcast host Charles Brecque. Leslie dove into how TurinTech’s evoML platform is making machine learning models more sustainable, future plans of the company, and how AI technology can help make the legal processes more efficient.  Continue reading […]

Artificial intelligence and machine learning have long been acknowledged by business leaders as a means to leverage business growth, from valuable customer insights to operational efficiency.  Yet it can be difficult to scale, and, despite cutting-edge research, data scientists are still struggling to fully utilise AI and ML. With this in mind, we have put […]

1. Introduction: The practice of building AI is rapidly becoming automated. Automated Machine Learning (AutoML) is the process of automating the time consuming, iterative tasks of machine learning model development. However, AutoML on its own cannot bring AI to life in the real business world. In this article, we will give an overview of AutoML’s […]

Artificial Intelligence (AI) is an iterative optimisation process to achieve multiple objectives. In a real business world with resources constraints, there are many trade-offs to tackle before deploying AI in business processes. These include accuracy, model complexity, explainability, running speed, cost, etc. Let’s simplify Optimal AI as the formula below:F is the optimal AI model; […]