AI enables a maximally personalized training delivery by providing precise instructions, performing exercise corrections and more for healthier lives.
In banking, AI is used to automate administrative processes on the basis of cleaned and validated data records. This reduces costs and manual labor while decreasing error rates at the same time.
AI has enormous potential to improve medical decision-making and save lives. Yet, with no margin for error, specialized labelers & human validation are needed to train accurate algorithms.
If you have handwritten datasets, blending OCR and human data labelling is the way to go to create maximally useful, custom datasets.
Automating the assembly line becomes increasingly more crucial to keep the competitive edge and drive cost-efficiency.
Without a doubt, AI is the future of repetitive processes. The larger the volumes, the more important becomes rigorous process efficiency.
The mobility industry generates tons of data at unprecedented speeds. Yet, AI prediction quality can only be as good as the data that it is being fed with.
AI is the next accelerator for academics across all fields. Be it linguistics, natural sciences or ecology, data processing at all volumes has always been the foundation of research.
Person identification, customer behavior and shopping cart analyses have become prevalent in all industries to optimize the shopping experience in retail.