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White paper: Graph visualization and AI

Cambridge Intelligence

The State of AI in 2023 – McKinsey) A fraud visualization app to spot fake Amazon reviews written by AI Our white paper, Graph visualization and artificial intelligence , looks at how successful businesses work with the latest graph visualization and AI technologies.

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Meet the Final Winners of the U.S. PETs Prize Challenge

DrivenData Labs

Privacy-enhancing technologies (PETs) have the potential to unlock more trustworthy innovation in data analysis and machine learning. Federated learning is one such technology that enables organizations to analyze sensitive data while providing improved privacy protections. Sitao Min is pursuing his Ph.D.

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Enterprise fraud management, AI and data visualization

Cambridge Intelligence

While it has always been a data-intensive process, enterprise fraud management today is more complex and more important than ever. This blog post explores the evolving role of enterprise fraud management, examines the impact of AI and showcases the importance of visual data analysis. What is enterprise fraud management?

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5G use cases that are transforming the world

IBM Journey to AI blog

As mobile technology has expanded over the years, the amount of data users generate every day has increased exponentially. Currently, other transformational technologies like artificial intelligence (AI), the Internet of Things (IoT ) and machine learning (ML) require much faster speeds to function than 3G and 4G networks offer.

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Leveraging Generative AI in Genomics with IBM’s watsonx Platform

IBM Data Science in Practice

Genetic Data Analysis : Advanced AI techniques, such as deep learning, are used to analyze complex genetic data, providing deeper insights into genetic variations and their implications. These insights can lead to the identification of novel genetic markers associated with diseases.

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AI and data visualization: Powering the intelligence cycle

Cambridge Intelligence

Artificial intelligence is changing the way organizations think about data analysis. AI and data visualization can do a lot of the heavy lifting for analysts and investigators working with connected data – helping them detect, understand and even predict risks and threats.

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Graph visualization use cases

Cambridge Intelligence

It’s far easier to explore than raw data, or a static visualization. The power of graph visualization: one of these formats is so much easier to understand Graph visualization has become a must-have data analysis tool in a growing number of domains. Let’s take a look at the most popular data visualization use cases.