When electricity was invented more than a hundred years ago, it revolutionized society; suddenly people had the exciting, yet challenging task of adapting to a new technology, and a new way of living. Industry was transformed, life was revamped and everything seemed newly possible. Today AI puts us in a very similar position. Just as it is very difficult to imagine households, communications, healthcare and practically every domain of our life without electricity nowadays, in recent years AI has advanced to a point where we can see change of a similar magnitude happening in the not-so-distant future. A change set to refashion industry yet again and mark a turning point in history.
Approximately 97% of SMEs are micro enterprises, meaning they have fewer than 10 employees, or are sole proprietors, and/or have an overall revenue of below €2m. Whilst they fall under the SME umbrella, their needs are anything but similar and banks are best advised to provide the service their unique set of circumstances require.
What is it about that email addressing us personally, or the forgivably misspelled name on the side of a cup at a coffee house that makes all the difference to us? It seems that we, the average consumer, are on a constant search for the personal touch, the antidote for the anonymous and a fulfilling way of reconnecting with others.
Easier perhaps for the coffee house than an international corporation?
How can we expect a global bank of colossal proportions – the usual suspects such as BBVA, Santander, Deutsche Bank or Citi - to offer personalized banking services and have a one-to-one conversation at customer level? Given that the branch is increasingly a thing of the past, surely it’s becoming more difficult, as opposed to easier, to give the end-user what they want?
Engaging the SME customer & Improving Cash Flow
The number one aim of small businesses is to become profitable, and quickly. By nature, a small enterprise will have seasonal ups and downs and a cash cycle dictated by factors beyond their control, so ensuring they have enough cash in hand is critical. Profitable companies might see their cash reserves affected if they are moving too fast, and stagnating companies might find an unexpected liquidity issue unsurmountable.
UBIQUIBOTS: IA PARA BANCOS (English Version)
Los bots (y los artículos sobre bots, ¡oops!) están en todas partes.
De hecho, muy pocos conceptos se han popularizado tan rápido, especialmente teniendo en cuenta que la idea de una interfaz de usuario conversacional ha estado con nosotros durante mucho tiempo en varios formatos y bajo diferentes denominaciones. Parece una jungla, pero todos los robots básicamente están haciendo lo mismo: agregar capacidades de conversación a preguntas frecuentes y búsquedas.
Puede leer una buena evolución de esta tendencia aquí y aquí. Personalmente, tuve el placer de trabajar para dos compañías que desarrollaron su propia asistente virtual (básicamente un chatbot con una cara bonita). Puede que recuerdes a Anna, la robo-asistente de IKEA, que es una de las bases de datos de chatbot mejor integradas, aunque ahora se ha desvanecido un poco sin que haya transformado significativamente nuestras vidas.
Entonces, ¿podría ser diferente ahora que los mundos de los bots y la banca se están uniendo?
It was a pleasure to take part in Finovate Spring this year in sunny San Jose, and have the opportunity to meet and catch up with all the new and existing players on the FinTech circuit. Two full days of demos, lunches and networking opportunities, to share ideas and stay abreast of the latest concepts and innovations.
Of all the presentations I attended, two sparked my interest the most: Unison and Alpharank.
The rise of financial technology, or FinTech, has been one of the most exciting developments of recent years. Firms such as Transferwise, Kantox, Monzo and iZettle have proved that tech startups are capable of offering individuals and SMEs quicker, cheaper and more convenient financial services than traditional banks.
New progress in the area of artificial intelligence and machine learning has created the opportunity for fintech to steal yet another march on banks. Creative application of machine learning has the potential to enable startups to also offer a fairer and more personal service than anything that has come before.
ON THE AI FUTURE OF FINANCIAL SERVICES
At Strands we're stacked full of FinTech experts of all stripes and colours, but did you know we have two in-house gurus on artificial intelligence and machine learning of our very own?
In the lead-up to the D-RAFT AI & Robotics Demo Day, we sat down with each of them to pick their brains about the future of AI and ML with a special banking twist. Thanks to the folks at Prowly for developing these incisive questions.
Before we get started with the interview, some introductions are in order...