AI has been gaining popularity in recent years, particularly as it’s been improving in leaps and bounds for a whole range of tasks: from predicting the risk of child abuse in a given family to beating world champion Go players.
However, one critical problem with using it for decision making in business is that the machine learning models can't explain the predictions they make: a customer might, reasonably, want to know why their cred it card or home loan application was denied.
To eliminate extreme poverty, many leading global organisations have made financial inclusion a top priority. Business leaders and policymakers have dedicated themselves to improving the quality of life for the world’s poorest, and they believe economic and social progress starts with an inclusive financial system that meets the needs for all income levels.
2018 has been a fantastic year for Swedish startups. In the past 8 months alone, Stockholm has given birth to 3 new unicorns, and has been home to some of the world's biggest tech exits, including the $29B IPO of home-grown Spotify in April.
For several years, we at Instantor have helped consumer finance organisations make the most profitable decisions through our digitalised financing processes. We understand that your main challenges are in day-to-day operations: limited loan acceptance, fraud, bad loans, and default, and consequently, a reduced profit. In this article, we will dive into calculating risk to demonstrate how Instantor is helping clients reduce credit losses by a quarter.
"Today, technology is an integral part of our lives. Billions keep their smartphones glued to their sides, 24 hours a day. But, as technology becomes smarter, we will start to move beyond screens. A new paradigm will emerge, which will see our relationship with technology change forever."
Few industries are transforming as rapidly as the financial industry, with financial institutions striving to gain a competitive edge on their peers. Traditional analog methods are being left behind as industry leaders implement technology to improve speed, efficiency as well as to meet customer needs in an altogether more comprehensive manner. In this fast-paced and unique environment, how can you navigate the market successfully?
Nowadays both Artificial Intelligence (AI) and Machine Learning (ML) are used interchangeably. Even though AI and ML are intrinsically related, to fully leverage the benefits for your business it is crucial to understand what they are. In this article we will give you the low-down of AI and ML: