Data Science and AI

AI is fundamentally reshaping the way businesses operate and creating new opportunities across industries and markets. Organisations that hesitate to embrace these advances risk falling behind the curve, jeopardising their relevance in an increasingly digital world.

As your trusted digital business partner, we’re here to help you stay ahead of the curve. With our extensive team of data scientists, we use a blend of statistics, mathematics, software engineering, and industry expertise to develop responsible AI-powered solutions that deliver tangible value to your organisation. Whether refining existing models or creating new ones from scratch, our focus remains on extracting actionable insights from diverse datasets.

  • Value-driven Approach
    We collaborate with you to identify high-impact use cases and assess ROI throughout the experimentation and production phases.

  • Responsible, Industrialised AI
    Our multidisciplinary teams guide you through the entire AI lifecycle, ensuring ethical and responsible deployment from inception to industrialisation.

  • Industry Expertise
    Benefit from the insights of our multidisciplinary teams, who possess deep industry knowledge and customise AI solutions to meet your specific business needs.

NextGen Advanced AI Search

In an era of information overload, traditional search methods fall short. Our Advanced AI Search empowers users to ask questions in natural language and receive precise, context-rich answers. Read more about transforming your data retrieval.

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Whitepapers

AI and cybersecurity
In today’s digital age, traditional cybersecurity measures are no longer sufficient. Cyber threats are evolving rapidly, and adopting innovative solutions is essential to protect your business. Discover how AI is revolutionizing cybersecurity and giving you a strategic edge. 
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Responsible artificial intelligence

As organisations race to seize AI’s benefits, prioritising responsibility is key. Embracing responsible AI practices is not just about staying ahead but building a sustainable competitive advantage. 

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Our blog articles 

AI beyond the hype: what the Microsoft AI Tour Brussels taught us about moving beyond proof of concept to full-scale deployment

Interacting with Large Language Models

The power of semantics: how reliable data transforms AI

Our success stories

Empowering Mechanics with Mixed Reality Solutions

Preparing Nursing Students with VR Training for Real-World Challenges

LCM’s new website becomes a data-centric business asset

 

A world shaped by predictive analytics: A day in the life in 2025

Sep 18, 2016, 00:00 AM
Title* : A world shaped by predictive analytics: A day in the life in 2025

It is ten years since the introduction of the first iPhone, a device that transformed how we communicate, play, shop, bank, travel and organise our lives. Four out of five UK adults now have a smartphone and collectively we look at our phones more than one billion times a day.

The smartphone is a gateway technology to the future: it put the world at our fingertips, introduced us to AI-powered virtual assistants and encouraged us to share data in return for more connected, convenient experiences. Our comfort with the smartphone has prepared the modern consumer for the next wave of transformation and disruption which, when it breaks, will once again change how we live, work and play.

This time the disruptor will not be a single highly desirable consumer device but a convergence of technologies that will be woven into the fabric of daily life to create an ambience of intelligent computing that is with us 24/7.

We commissioned this research to understand the implications of a world where smart machines speak to one another to minimise risk, disruption and inconvenience. The results show a high degree of confidence that today’s emergent applications of artificial intelligence and the Internet of Things will, in less than a decade, be commonplace, radically changing our world forever.

Our findings also sound a health warning: delivering the highly personalised, friction-free experiences craved by the connected consumer will require access to consumer and network data, advanced algorithms and data scientists – and that access will tighten as these technologies go mainstream and consumers become savvier about who they choose to do business with. First mover advantage is likely to prove critical as consumers rapidly switch to those organisations that can deliver a world centred around their convenience and well-being. It doesn’t need an advanced algorithm to predict that successful organisations will be those planning for this future now.

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