Four Benefits of Optimising AI Models 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 […]

Why Businesses Should not Overlook the Importance of Machine Learning Model Speed
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AI Insights, 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 […]

The Need For Green AI
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AI Insights, Insights

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 […]

Artificial intelligence for Hedge Funds: How Can Machine Learning and Code Optimisation Generate Greater Alpha?
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AI Insights, Insights

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

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 […]

Three ways AI optimisation can revolutionise the financial sector
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AI Insights, Insights

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 […]

Rethinking AI’s Carbon Footprint
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AI Insights, Insights

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 […]

Customer Churn Prediction and Prevention Using AI
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AI Insights, Insights

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 […]

5 AI Mistakes and How to Avoid Them in Your Organisation
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AI Insights, Insights

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 […]

Four Factors to Consider When Building & Scaling AI
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AI Insights, Insights

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.   […]

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

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 […]

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

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 […]

How to empower data scientists
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AI Insights, Insights

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 […]

Why AutoML Is Not Enough for Scaling AI
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AI Insights, Insights

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 […]