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Artificial Intelligence for eCommerce: A Closer Look

Smart Data Collective

Artificial intelligence (AI) refers to machines that simulate human intelligence. AI helps create a seamless user experience. For example, it can recommend products based on users’ buying patterns. A chatbot refers to a computer program that simulates a conversation with users. What is AI?

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4 Industries Benefiting from Data-Driven Mobile App Development

Smart Data Collective

Having a well-developed mobile user experience is critical to any business’s success, so which industries are proving most adept at using apps to their advantage? (2). References. Healthcare.

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5 Best Practices for Extracting, Analyzing, and Visualizing Data

Smart Data Collective

A self-correcting user experience powered by AI and machine learning data analysis has tremendous advantages. Increase dwell time and facilitate better data understanding by directing attention with conditional formatting, reference lines, trends, or forecasts.

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Empowering Sales to Provide the Best Customer Experience: Frucor Suntory’s SAP Innovation Journey

Timo Elliott

Inefficient sales meetings, inconsistent user approaches, and fractured CRM data impacted both customer and user experiences. Enhanced User Experience: The native iOS application of MySH, built using SAP BTP SDK for iOS, provided a fast and intuitive user experience for the sales team.

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Machine Learning is Invaluable for Mobile App Testing Automation

Smart Data Collective

Automated mobile app testing refers to the evaluation process that mobile app developers should run through for each application that they develop to ensure the mobile apps perform correctly before publishing. They are able to accomplish this process with the use of advanced machine learning algorithms. What Is Automated Mobile App Testing?

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Leading Trends of Fintech Development Services in 2022

Smart Data Collective

The term decentralized finance refers to a movement that aims to create an open and accessible ecosystem of financial services that is accessible to every user and can operate without the influence of government agencies. Improvement of user experience. Decentralized finance. Risk assessment. Cyber security.

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BA Techniques?—?Prioritization

Analysts Corner

Here’s a comparison breakdown of the two: Backlog prioritization: Refers to the process of prioritizing the items in the backlog, which is a list of tasks, bugs, and features that need to be addressed. The techniques used for backlog prioritization may include MoSCoW, Kano, Impact-Effort matrix, Cost-Benefit analysis, and User story mapping.