Peter Philipp stories

Graph databases are revolutionising supply chain resilience by providing deeper insights and enabling more effective responses to disruptions, experts say.

Organisations are continuing to face challenges in progressing generative AI use cases to production, with fewer than one in every five reaching that milestone.

Experts warn that rising digitalisation fuels fraud, with AI aiding cybercriminals, prompting calls for robust security and real-time threat response.

The persistent ability of criminals to exploit legitimate structures to launder money has banks and others on the hunt for new tools and techniques to counter the threat.

Generative AI's power is amplified by knowledge graphs, making tools like ChatGPT and Google's Gemini smarter, reducing errors, and combating biases, thus revolutionising industries.

Global graph database firm, Neo4j, forms a multi-year partnership with Amazon Web Services to streamline development and amplify business solutions.

The successful entrants were selected based on their exemplary use of graph technology to address the most significant enterprise challenges.

Neo4j 5 is now generally available, giving customers access to the next-generation of its cloud-ready graph database.

CIOs are turning to digital twin technology and knowledge graphs to optimize supply chains and gain insights into complex dependencies.

Graph data platforms provide telcos with performance boosts and agility benefits over relational databases, enabling new levels of performance and insight.