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White paper: Graph visualization and AI

Cambridge Intelligence

Artificial intelligence promises a positive shift in practice for businesses across domains from cybersecurity, intelligence and anti-fraud to supply chain and pharma. They can use them together to uncover insights in their complex connected data, and make fast, business-critical decisions.

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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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Leveraging Generative AI in Genomics with IBM’s watsonx Platform

IBM Data Science in Practice

Introduction In the field of genomics, artificial intelligence (AI) is becoming a true game-changer. Generative AI, a subset of artificial intelligence that focuses on generating new data from existing datasets, holds immense potential in genomics. Co-authored by Rakshith Dasenahalli Lingaraju and Richard Williams.

AI 100
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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.

ML 120
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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. at Rutgers University.

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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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Link analysis: 6 trends shaping the future

Cambridge Intelligence

So does that negate the need for link analysis? Visual representations give analysts the situational awareness and actionable insights they need to keep their cloud network safe. Not at all.