AI Industry Updates, February 2025: Optimising Business Operations

Published 17 February 2025

Author

Adam Speight

2 min read

Recent advances in artificial intelligence (AI) aim to address industry-specific business challenges. By enhancing image analysis capabilities for medicine, streamlining research processes for consultants and accelerating product development cycles for electric vehicles (EVs), these new applications demonstrate how AI development is swerving to focus on targeted problems with potentially widespread benefits.

Expert Resources Through AI: The UK government’s £11m ($13.6m) Edith breast cancer detection trial shows how AI can help address the challenges facing healthcare workers while ensuring patients receive the highest-quality care. In assisting with the process of reviewing mammograms, the AI system helps medical professionals deliver timely breast cancer screenings without compromising on the careful attention each patient deserves. This approach demonstrates how AI can enhance – not replace – the expertise of healthcare professionals, especially in areas where staffing shortages could affect patient outcomes.
Research at Machine Speed: American AI firm OpenAI’s Deep Research agent functions as an advanced research assistant, helping users analyse and synthesise information from diverse sources, like scientific papers and market reports. The system can explore new research directions and adjust its focus based on the information. While human oversight remains essential to verify accuracy, this tool shows promise for streamlining research tasks across market analysis, competitive intelligence and strategic planning.
Accelerating Hardware Innovation: UK-based solar energy brand Sphere Energy is assisting car manufacturers with their EV and battery development through its AI system Batty. It simulates years of battery performance under diverse real-world conditions, from motorway driving to mountain routes, with different charging speeds and various weather conditions. By integrating manufacturers’ existing battery data into the AI model, Batty enables companies to understand how their batteries will perform in the long term without extensive physical testing. This significantly reduces traditional development timelines and testing costs while providing manufacturers with deeper insights into battery-vehicle optimisation.