What is Open Banking? Open banking refers to a financial system in which banks and other financial institutions securely share their customer data via standardized APIs (Application Programming Interfaces). This happens based on the customer's consent and enables third-party providers to access banking data and offer innovative financial services. This data may include transaction histories,
Introduction Our AI chatbot assistant uses advanced natural language processing (NLP) to deliver coherent and accurate answers. This guide describes the structured process from needs analysis to continuous optimization to ensure that the chatbot is tailored exactly to your needs. Step 1: Preparation and needs analysis 1.1 Customer advice Aim: Introduction to the possibilities and
Germany is sitting on a treasure trove of data, but hardly uses it. This is shown by a current survey by the digital association Bitkom, which examines the data economy in the country. Of the companies surveyed, only six percent stated that they were exploiting the full potential of their data. Over 42 percent of
Over the last decade, the rapid growth of digital banks and improving offerings from fintech companies have led to consumers demanding more from their financial institution (FI): a tailored customer experience that meets their evolving needs and preferences - beyond the local branch, at both traditional and new touchpoints. Today, customer experience can either strengthen
While video-generated personas with realistic facial expressions and AI-generated voice output such as Syntesia AI are already a remarkable one quality, generative video image creation directly from text is still in its early stages. Companies like Runway or Pika collect significant investments and continuously improve the quality of their systems to achieve increasingly convincing results.
Mit neuem Machine Learning Center von Acceleraid sind neuronale Netze erstmals in sieben Klicks konfigurierbar. Nutzer*innen ohne technische Kenntnisse können nun neuronale Netze und Machine Learning Algorithmen eigenständig im Marketing und Vertrieb anwenden.
Alles fließt, besonders im digitalen Geschäft. Der nächste Lieferant, der nächste Kontakt ist nur einen Fingertipp entfernt. Vertrauen ist ein kostbares aber auch volatiles Gut. Die Kunden zu gewinnen und eine nachhaltige Beziehungen zu ihnen aufzubauen, ist gerade in digitalen Zeiten für viele Unternehmen eine echte Herausforderung.
Wer eine feste Kundenbasis hat, befindet sich erst einmal in einer guten Position. Denn als Faustregel gilt: Neukunden zu akquirieren ist fünfmal so teuer, wie Bestandskunden zu halten. Um aus bestehenden Kunden aber auch Erträge zu generieren, stehen Banken vor der Aufgabe, ihre Kunden wertschöpfend zu aktivieren und nachhaltig zu binden.
Jeder Jeck ist anders und jeder hat unterschiedliche Bedürfnisse… so weit ist das nichts Neues. Personalisierung ermöglicht es Unternehmen, ihre Kunden individuell entsprechend deren Bedürfnisse anzusprechen.
Imagine going into a store and finding the exact products you are visiting the store for right on the first shelf. And not just once, but with every subsequent purchase – even if you go to the store with completely new needs, wishes and requirements. You will find what you are looking for at that moment.