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Explore Cetus Protocol, central to Sui DeFi, with innovations like intent-based trading, automated vaults, and multichain ...
With technology/AI taking over administrative and repetitive tasks, human roles will shift towards more strategic, creative, ...
Next Generation Command and Control (NGC2) is the Army’s new approach to develop a data-centric architecture for the commander to make more, faster, and better decisions, and ultimately reduce ...
The way we treat our apps and data has changed in cloud-centric architecture. With more user-design models becoming available, engineers no longer function as the only developers in our organization.
Central to this study is a proposed technical architecture, illustrating how AI, ML, and DLT can be integrated within healthcare workflows. This includes using blockchain for secure, verifiable ...
The exponential growth of data exerts great pressure on hardware design for database systems. Memory-centric computing (MCC) architecture, which enable compute capabilities near or inside memory ...
UOB, possibly Singapore’s first local bank to use artificial intelligence (AI) and big data analytics to allocate capital in its corporate banking division, is looking to expand its portfolio ...
To share knowledge about data related subjects on patient data and drug product data, GVW works with Health Parliament as well as through the OHDSI India Chapter to organize activities with global ...
As the Internet of Things (IoT) paradigm gains popularity, the next few years will likely witness 'servitization' of domain sensing functionalities. We envision a cloud-based eco-system in which high ...
A robust data strategy is paramount for harnessing generative AI (GenAI), which is poised to significantly elevate global GDP by $7 trillion and enhance productivity within the next decade. In my ...
Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.
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