Peltarion helps customers create real-world AI applications at scale and at speed. It dramatically cuts the cost and complexity associated with technologies like deep learning by reducing the need for specialist skills and infrastructure through its cloud-based Operational AI Platform.
“At present, organisations are just scratching the surface of what AI can do,” comments Luka Crnkovic-Friis, CEO and co-founder of Peltarion. “Peltarion and Futurice are aligned in their vision that technology is a powerful tool for change and will work together to make AI widely available for all.”
Futurice’s focus on innovation includes digital product design and build, and encouraging its customers to embrace emerging technologies, agile software development and lean organisational change.
“AI is not only a powerful tool for change, but also for creating value. To reap the benefits, companies need to both play to their strengths and learn a bunch of new tricks,” says Vice President Claes Kaarni from Futurice. “It's important to keep in mind that user-centricity still carries the day. Fundamentally, we are out to demystify AI and machine learning, and Peltarion is a great partner for it.”
With a shared presence in the UK and the Nordics, Futurice’s partnership with Peltarion is based on deep technological understanding, engineering talent and a complementary client base that’s focused on innovation. As a consulting partner, Futurice will work closely with Peltarion to make deep learning more accessible for a wide range of companies and organisations.
“Deep learning is the future and has the potential to transform all types of organisations, industries and use cases. Together, we want to unleash the potential of AI, which goes well beyond chatbots – it’s a game-changer across many markets,” says Crnkovic-Friis.
Real-world industry applications include diagnostics and treatment in healthcare, image classification in retail and eCommerce, process automation and predictive maintenance in manufacturing, forecast modelling in weather predictions, demand forecasting in logistics and supply chain, personalisation in music and media ‘you might like this’ suggestions, self-driving cars and forecasting in finance.