Nordea’s MegaTrends report is an annual publication that uses various data sources to map out the hottest market trends, what they mean for our corporate customers – especially treasury and finance departments – and how you can make the most of new opportunities.
One of the most discussed and analysed pieces of European Union financial legislation will finally be transposed into national law on 13 January 2018. But will the world change with the arrival of PSD2? Or will the financial industry – banks, corporates and customers - have to wait even longer before the effects are felt?
After years without political contact between Norway and China, bilateral relations are back on track opening up for a resumption of free trade discussions and increased cooperation in many other fields. “Bilateral trade has always existed between China and Norway, but we do recognise that the relationship on a political level has normalised as of late, which will leverage to a higher degree the trade between the countries, primarily on goods and services” says Corrado Lillelund Forcellati, General Manager, Nordea Bank Singapore.
One of the trade areas that was hit hardest was the export of salmon. According to data from the Norwegian government and DNB Markets, Norway was the leading exporter of salmon to China in 2010, but exports had shrivelled so much that in 2015, even the Faroe Islands were exporting more salmon to China.
In May 2017, however, there were clear signs that Norway’s seafood exports were back on China’s radar. A recent delegation to China ratified a new seafood trade agreement, comprised of USD 1.45 billion worth of salmon exports to China by 2025, as reported by Quartz. The agreement was signed shortly after Norwegian Prime Minister Erna Solberg’s visit to e-commerce giant Alibaba in April 2017. The following month, Taobao and Juhuansuan, two of Alibaba’s ecommerce platforms, hosted promotional events for Norwegian salmon.
A spokesperson for the ministry told Quartz that as part of Prime Minister Solberg’s April visit, Norway and China agreed to conduct regular discussions on a range of topics, including human rights. According to this spokesperson, the “normalisation of relations” would “create major business opportunities for both countries,” with discussions on a free trade agreement to resume.
“Norway and China have agreed to establish a consultation mechanism at a political level between our foreign ministries, where we can discuss all matters of common interest, both bilateral and multilateral, including issues relating to the UN, human rights, and trade policy,” the spokesperson added.
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Benjamin Särkkä, Head of Nordea's IT Security Incident Response team, founder at hacker group Disobey and IT security consultant, delivers a fascinating talk on cyber security and what you should know.
EuroFinance 2017 round-up
At the end of 2017, Nordea announced that it would join the we.trade consortium as a founding partner. The consortium is, in conjunction with IBM, developing a platform based on distributed ledger technology (DLT) that aims at making domestic and cross-border commerce easier, safer and more efficient for companies. It is the first such blockchain-based trade finance platform, marking a milestone in the practical adoption of DLT in the financial industry.
A significant step forward in Blockchain/DLT adoption
Nordea joins Deutsche Bank, HSBC, KBC, Natixis, Rabobank, Societé Generale and UniCredit as a founder of we.trade, which will simplify trade finance processes for SMEs mainly. Larger companies have documentary credit (D/C) and tailor made guarantees as tools to reduce their risks, while these are not always appropriate for the SME segment. However, large companies that favour open account solutions may also find we.trade a good solution.
Ville Sointu, head of DLT & Blockchain at Nordea, explains the significance: “In the current broad landscape of blockchain technology based initiatives in trade finance we see we.trade as a standout in its focus and realistic execution strategy. We’re looking forward to providing a Nordic perspective to the future of trade finance.”
If you’ve briefly thumbed through any treasury or finance magazine of late or have cast a passing glance at agenda topics topping the major cash and treasury conferences over the last 12 months, it will have left you in no doubt: The robots are coming.
But what is it that they are coming to do exactly? Humiliate your feeble human mind, take your job and steal your spouse? Or are they rushing in to take away your dull, repetitive tasks and leave you with the time to focus on strategy and forward planning and shine in your organisation? And what will AI actually mean for areas such as cash management and trade finance?
“AI should be seen as an assistant for treasury that can monitor and execute a given set of tasks,” explains Christian Skøtt Maltesen, Head of Artificial Intelligence & Machine Learning at Nordea. “In short, treasurers can focus on the value-adding parts of the job and leave the repeatable and overly complex analyses to machines. Treasurers can focus on deciding policies, improvement opportunities and address the challenging issues where AI will bring additional insights.”
The field of Artificial Intelligence was established back in the 1950s but only now has it become a column-inch coloniser and crowd-puller at conference keynotes. And it’s not that AI algorithms are that new either – it’s just that explosive growth in online interaction has created a veritable embarrassment of analysable data, from which AIs can learn. This capability, built on sharp advances in computer performance, has also been fuelled by massive investment sums; in 2016 alone, USD 5bn was pumped into the industry.
The field of AI was essentially an academic discipline at its inception in the 1950s but has in recent years seen an accelerating development, fuelled by growing computer power, better understanding of how the human brain functions, and the flood of analysable Big Data from humankind's exploding connectivity online.
This has led to launches of numerous AI technologies, in use in our daily lives in applications such as video gaming, search engines, advertising and cars. All of these are highly tailored to specific tasks. No general AI with self-sustaining long-term goals and intent has been developed, nor is it likely to be in the near term, but the risk of a future AI becoming self-aware and hostile has been highlighted by experts.
AI – Now in the mainstream
Most of us have become used to seeing the term "artificial intelligence" mentioned in the media on a regular basis, and many of us have come across the concept in some dramatised Hollywood form. There are many examples of films and novels depicting supercomputers or robots becoming aware of their own existence and turning hostile to their human creators. And we often hear or read concerns about machines, software or robots replacing humans in the labour market. As an illustration, just consider that Benoît Hamon, the Socialist Party's candidate in the French presidential election in May 2017, made a campaign pledge to introduce a specific tax on robots. The idea was that anyone investing in a robot to do a human's job would have to share the profits from productivity gains through tax.
So what is artificial intelligence? And should we humans be afraid of becoming unemployed, or even becoming extinct? AI, or intelligence exhibited by machines, is a field of computer science typically defined as the study of intelligent agents: any device that perceives its environment and takes actions to maximise the chance of success of its objectives. More generally, we tend to use the term artificial intelligence when describing machines using cognitive functions associated with human minds, such as learning and problem solving. AI as an idea and as a concept has arguably existed since the Middle Ages, but the actual field of AI research is widely considered to have been born in 1956, when five prominent US researchers met for a workshop (essentially a six- to eight-week brainstorming session) at Dartmouth College.