As AI models become increasingly refined, organisations are starting to notice the diverse range of solutions they can provide across not just data science teams but all departments of a company. Despite this, scaling AI solutions across a company is an extremely expensive and complex venture that most firms would struggle to see a return on investment from. In a market where AI has so much to offer but with such large costs, Peltarion is striving to bridge the gap enterprises face when realising AI solutions in terms of resources and knowledge. AI News joined Peltarion CEO Luka Crnkovic-Friis and operational AI expert Johan Hartikainen to discuss how the company's cloud-based software platform is helping to solve this catch-22 situation affecting the industry. AI News: In another interview you described Peltarion as doing for AI what WordPress did for HTML coding, would you still consider this an accurate analogy?

Despite its perceived transformational potential, deep learning remains a machine learning'holy grail' for the majority of AI specialists. That's the conclusion of research from Peltarion, based on the responses of 350 AI decision-makers from the UK and the Nordics with direct responsibility for "shepherding AI" at companies with more than 1000 employees. The resulting report sought to explore the understanding of deep learning versus other types of machine learning practices, and the barriers holding businesses back from taking it from an ideal to reality. What the findings seemed to show is that while businesses are appointing individuals to oversee AI, and there is indeed confidence in the technology's potential, there is still a clear knowledge gap in the workings of the tech-- even among the so-called specialists who make the decisions to invest and develop it. According to the report, 99 percent of respondents thought that deep learning would transform their industry-- 32 percent said it would "totally" transform it. At the same time, just 60 percent were confident about what deep learning is and how it works, and just 1 percent had deployed it extensively.

A never-ending debate over artificial intelligence is whether this exciting, deeply-complicated software can really boost a company's bottom line. One way to find out: build a quick-and-easy neural network and plug it into your legacy system. In Sweden, engineers who once built the "fruit-accounting" mechanics to support hundreds of millions of Candy Crush users, have joined a startup that's claims it's cracked the problem. Senior engineers from a raft of other Swedish tech unicorns - Spotify, Klarna and Truecaller - have joined too, says their CEO, Luka Crnkovic-Friis. When it comes to attracting talent in the Nordics, "no one comes close," he says.