AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.
Organizations have been kicking the tire on AI for the past several years, but 2025 saw an explosion of AI-powered offerings all along the software development life cycle.
Morning Overview on MSN
What people really use ChatGPT for isn’t what you think
ChatGPT arrived in the public imagination as a coding sidekick and homework machine, but the data now tells a more domestic ...
When AI-assisted coding is 20% slower and almost half of it introduces Top 10-level threats, it’s time to make sure we're not ...
The global cloud market has been growing exponentially since 2017, when its value was around $145 billion. By 2025, that ...
A generic, multi-tenant, and flexible configuration framework built natively for **Oracle Database **. It enables any SaaS solution (ERP, CRM, HR, Learning, Analytics, etc.) to manage configuration ...
The Nepal Development Update is produced twice a year to report on key economic developments that occurred during the year, placing them in a longer-term and global perspective. The Update is intended ...
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Dynamic networks are networks that vary over time; their vertices are often not binary and instead represent a probability for having a link between two nodes. Statistical approaches or computer ...
Abstract: This article is centered on the trajectory control of an inspection class remotely operated vehicle (ROV) based on a 5-thruster configuration generating four degrees of freedom (dof), three ...
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