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Conversational UI for Bank: Say Bye to Your Boring App

The Product Coalition

The vision is simple: log in to the app, authenticate yourself, and pose questions naturally. They engage in free-flowing conversations, fueled by a Large Language Model that serves as a bridge between users and backend systems, ensuring a seamless user experience. Sounds familiar, right?

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AI in Business: A Complete Guide to the AI Revolution

The Product Coalition

Gain insights into the AI revolution and discover how to leverage artificial intelligence for a competitive edge in today’s fast-paced corporate landscape. One such technology that has rapidly transformed industries and revolutionized business operations is Artificial Intelligence (AI).

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Gainsight’s Impact Analyzer Levels Up CS With Machine Learning

Gainsight

Artificial intelligence (AI) seems to be everywhere these days. And most of that impact is being driven by machine learning, the most important and popular subfield within AI. Customer Success and Machine Learning: A Perfect Match. Performance : Performance refers to how prevalent a driver is.

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Can AI Create a Fairer World? By Kriti Sharma

Mind the Product

In this thought-provoking keynote from #mtpcon London, Google Scholar and UN Advisor Kriti Sharma discusses the impact of artificial intelligence on decision making and what we, as product people, should be doing to ensure this decision making is ethical and fair. Kriti references some examples including Alexa, Siri, and Cortana.

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Four Product Success Factors

Roman Pichler

Such a product is also referred to as a painkiller , as it addresses a problem or pain point. If, for example, developing the product requires the application of advanced machine learning algorithms, then you’d have to explore if appropriate machine-learning frameworks exist, or if it’s possible to develop the algorithms in house.

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AI in Advertising: Using AI to Predict Ad Performance

The Product Coalition

By leveraging historical data and machine learning algorithms, marketers can make accurate predictions about how new ad creatives are likely to perform, without having to go through the process of testing each variation. These are the feature sets AI (computer vision) can look at the Ad and come up with specific features to extract.

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Leveraging New Technologies: 3 Tips for Product People

Roman Pichler

This usually doesn’t require in-depth technical skills like being able to write code or understand how a specific machine learning framework is used. You talk to the development team, and the team members suggest that machine learning is likely to be the right solution.