Expert perspectives on applied AI from New Gradient.
Written by engineers who build and deploy computer vision, large language models, and geospatial AI systems in production. Every article comes from real project work, not theory.
The economics of commoditised intelligence, and why specialisation might be the best defence we have.
Why the real shift in AI for finance isn't bigger models on price data — it's representing what assets actually are.
The full pipeline from foundation models to per-tree carbon measurement, built for a market where labelled data is scarce and auditability is everything.
How technologies pioneered by Amazon became accessible to mid-market retailers.
General AI will become infrastructure. The functions that define your business will require AI built for that purpose.
Language models feel like magic because language is a uniquely powerful modality. Geospatial data does not have that property.
Most businesses use LLMs for isolated tasks. The real value comes when you move them from tasks to processes to full deliverables.
Explore the essence of Data Science: From analysing historical data to leveraging Machine Learning and Deep Learning.
The real question about AI and the environment is not energy consumption. It is what kind of AI we deploy and what we point it at.