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Conversational UI for Bank: Say Bye to Your Boring App

The Product Coalition

Banking on Conversation: The Future of User Experience with Conversational UI Image created by the author using Bluewillow AI How many times do we all log in to our banking app and struggle to find information? This is precisely where Conversational UI banking is revolutionizing the retail banking industry.

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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?

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How to deal with Big data for Artificial Intelligence?

Antwak Blog

How to deal with Big Data for Artificial Intelligence? In simple words, Artificial Intelligence (AI) is the proficiency level displayed by machines, in contrast with normal proficiency shown by human beings. Thus it is referred to as Machine or Artificial intelligence. How can AI help machines?

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Everything you need to know about Pulse AI for customer experience 

Alchemer Mobile

It’s no surprise business is responding to the rapidly evolving field of Generative Artificial Intelligence (GenAI). Alchemer Pulse uses Transformers (deep learning architecture) because it’s the best form of context-sensitive tech for CX. For example, words people use to describe customer service may differ between industries.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.

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How To Train a Transactional Chatbot Using Reinforcement Learning?

The Product Coalition

One powerful approach to training such chatbots is reinforcement learning  — a subfield of machine learning. In this article we talk about transactional chatbots, shedding light on their functionalities, the pivotal role of reinforcement learning in their training, and their application in various sectors.

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Keep track of innovations in digital banking

Roy Madden

The new Feedly Neobanks Leo Concept is a handy list of the top 350 digital banks. This new Machine Learning model will help you: Track new trends and innovations across fintech Spot new investment opportunities Discover potential partners to work with. A machine learning model that tracks 350 global neobanks.

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Data Science Fails: Building AI You Can Trust

The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.

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How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics.