The future of artificial intelligence

The growth in the artificial intelligence (AI) market is set to skyrocket, with estimates of it being worth nearly $2trillion by 2030. AI already underpins a lot of things that we do – facial recognition on smart phones, Alexa and Siri, recommendations in e-commerce platforms. And large language applications like ChatGPT and BART have made a lot of headlines this year. There are the downsides. It’s not a perfect technology. There are worries of it getting into the hands of ‘bad actors.’ And it will displace a lot of jobs in the coming years. But the opportunities we have to improve life with AI are significant.

The rise of Machine Learning and how to make it a success

Machine learning has been around for much longer than you’d think. Back in the 1950s, IBM’s Arthur Samuels used an early form of machine learning while working on a program that played chequers. And in the last 70 years, machine learning has progressed a lot. We’re not quite at the stage where AI could apply itself to as many diverse problems as the human brain, but a majority of experts think we’ll be there some time within the next 100 years. As thousands of organisations eye up machine learning in terms of how it can improve their businesses, what are the key factors to bear in mind for a successful ML implementation?

The progression of chatbots to chatbot 3.0

ChatGPT has taken up acres of media coverage since its launch last November and conjecture about the changes it will bring and the professions it will wipe out. You’d be forgiven for thinking ChatGPT was the first of its kind. But there was a long history of chatbots that came before it. We are at the start of a golden age of chatbots and generative AI but we also have a long way to go.

Coming soon

Monitoring railway assets with computer vision

A European railway network provider needed to transform its manual track inspection process to make it more efficient, cost effective and crucially, more accurate. Valcon, an expert in computer vision – a data driven software and machine learning solution – was brought in to develop an automated railway track inspection system. As well as driving down costs, the new system has improved the accuracy of inspections, improved safety and reduced the need for track closures.

Data in airports – harnessing data for security lines optimisation

Following a turbulent few years in the travel sector, an international airport was struggling with surging post pandemic travel flows, whilst managing with significantly reduced staff numbers. One key problem was the airport’s security process – major queues were developing and it was becoming a significant bottleneck in the airport’s daily functioning. The airport thought that data might be the solution to security woes. Valcon was hired to build a data blueprint of the security process, to help identify problematic areas and come up with solutions.

The answer to solving financial crime lies in data

Financial crime is the scourge of the global economy, costing over $2trillion annually. Financial criminals have traditionally been one step ahead of the banks, who have struggled with legacy systems, the complexity of the global financial system and adhering to regulatory pressures. The answer to fighting financial crime – and being compliant – lies in data. Data science, data engineering and effective data management have a vital role to play.

Pricing predictions through machine learning and predictive analytics for leading automotive repair organisation

Many organisations follow an unstructured approach to pricing, with humans making decisions based on poor data or worse, on opinion. Valcon has a pricing approach that creates hundreds of customer segments based on historical data and important pricing influencers, like the weather. 

Pricing advice is supplied to decision makers via a pricing app or engine. With this information, Valcon customers can dynamically price their products and services and can benefit from improved margins, quicker decisions and being able to balance short term customer wins vs long term customer retention.  

Manufacturers, fuel distributors and retailers have successfully implemented our approach.

Data Management helps our electricity grid

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Read on how Data Governance impacts this drinks factory

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Optimizing Data Governance at the airport

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Finding the right parts does not need to be a burden with a proper Master Data Management solution

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So many products, so many systems … how to organize your Master Data

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How to protect your Data

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How to protect your Data

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I need to improve on my sustainability agenda… data solutions in place?

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The importance of telling the right story with Data

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Ho data helps our patients

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Data platforms in every form come and go, are some of the there to stay?

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Always working on moving the right Data in the right direction

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How banks (should) use their Data

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Helping our government on complex dossiers with our Data Management and Data Science professionals

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We actively share our knowledge and learn from each other to become thought leaders

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We actively share our knowledge and learn from each other to become thought leaders

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Learn more on how Microsoft contributes to the world of Data

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Can the 4 green dots really help me?

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Together with our remote colleagues we offer scalable high quality Data teams

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We train our consultants and Customers to be the best in Data

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We welcome everyone, stimulate diversity and provide a safe and fun working environment

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We believe in a sustainable business

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We are honest, transparent and dare to be authentic

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We are humble about what we know and always as questions

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We co-create solutions with our clients

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We are bold in our belief that nothing is impossible

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We enjoy our work and promote a positive environment

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