The consumer goods giant is taking its advanced analytics approach and adding AI for greater value, but its data leader, ...
Real-time insights and self-service analytics have become critical for survival in a rapidly evolving data landscape.
Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...
Professionals worldwide gain standardized recognition for web development skills through assessment-based certification ...
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Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
What data helps investment managers spot opportunities in volatile markets? We explore how alternative and unstructured data, ...
Human Identities the Key to Unlocking Data Security with Agentic AI? Where data security is paramount, many organizations grapple with the potential vulnerabilities that Agentic AI might introduce if ...
The engagement establishes a multi-phase framework to support AI enabled capital efficient development of Teverelix, a next generation GnRH antagonist, as a first in class market product for acute ...
Abrar Ahmed Syed bridges AI research and healthcare by architecting scalable cloud platforms and innovative edge-intelligence ...
SAP's Impact Measurement and Valuation (IMV) framework translates complex ESG data into monetary values, helping energy firms ...
As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.
The HOLiFOOD consortium is reimagining food safety risk assessment for the benefit of all stakeholders in the food chain ...
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