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Control Global14m
The role of AI in industrial data management
Advances in cloud computing, digital twins and AI enable better data utilization, operational efficiency and decision-making.
diginomica7h
Hackett Group and Celonis partner to bridge the gap between process intelligence and AI transformation
Hackett Group and Celonis announce a strategic partnership combining process intelligence, enterprise benchmarking data from ...
How SLMs and knowledge graphs supercharge AI
To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...
How Skywork.ai deep research revolution is redefining enterprise AI with visual intelligence
Contributor Content Over the course of the last several years, Artificial Intelligence (AI) has gone from peculiarity to a pillar of modern industry. When generative AI tools were first unveiled to ...
Devdiscourse4d
From labs to real-world impact: Quantum artificial intelligence edges closer to reality
While quantum computing provides new capabilities to AI, the relationship is reciprocal. The study explains how AI helps ...
Thinking Differently about the Neural Intelligence: The Work of Swaminathan Sethuraman in Bridging Adaptive AI and Neural Network Innovation
Swaminathan Sethuraman, a data engineer, bridges AI theory and practice with research on continuous learning and neural ...
Observe raises $156M to accelerate enterprise shift to AI-native observability
The artificial intelligence-native observability company Observe Inc. said today it has raised $156 million in a Series C ...
Seeking Alpha1mon
Investing In The Intelligence Economy: Semantic Graph Engines
The Semantic Graph Engine is the new systemic model driving the emergent Intelligence Economy. This has been percolating for about 20 years in various forms, including the "Semantic Web".