Key data and analytics trends in 2026 include decision intelligence, real-time analytics, semantic layers, platform ...

Independent Category Assessment of 13mm Front-Pocket Form Factor, 22-Card Capacity, 13.56MHz Frequency Protection, and ...

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 ...

Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.

The consumer goods giant is taking its advanced analytics approach and adding AI for greater value, but its data leader, ...

SAP's Impact Measurement and Valuation (IMV) framework translates complex ESG data into monetary values, helping energy firms ...

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 ...

Explore generative AI in financial services: how it works, top use cases, customer experience gains, key risks, and ...

Starting January 1, 2026, Californians can submit requests for data brokers to erase their sensitive information through the Delete Request and Opt-out Platform (DROP). The new ...

Abstract: Emotion recognition based on EEG signals has been a challenging task. The acquisition of EEG signals is complex, time-consuming, and has a high overhead. Artificial Intelligence Generated ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Abstract: Data sets have grown exponentially in size, rapidly exceeding the scale at which traditional exploratory data analysis (EDA) tools can be used effectively to analyze real-world graphs. This ...