AI-intensive Sectors are Showing Productivity Surge, PwC says

AI (Artificial Intelligence) letters and robot hand miniature in this illustration taken, June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters and robot hand miniature in this illustration taken, June 23, 2023. (Reuters)
TT

AI-intensive Sectors are Showing Productivity Surge, PwC says

AI (Artificial Intelligence) letters and robot hand miniature in this illustration taken, June 23, 2023. (Reuters)
AI (Artificial Intelligence) letters and robot hand miniature in this illustration taken, June 23, 2023. (Reuters)

The types of business which are most likely to use artificial intelligence are seeing growth in workers' productivity that is almost five times faster than elsewhere, raising hopes for a boost to the broader economy, accountancy firm PwC said.

Productivity in professional and financial services and in information technology grew by 4.3% between 2018 and 2022 compared with gains of 0.9% across construction, manufacturing and retail, food and transport, PwC said.

The data suggested that the rise of artificial intelligence could help countries to break out of a rut of low productivity growth which would boost economic growth, wages and living standards, PwC said in a report published on Tuesday, Reuters reported.

Carol Stubbings, leader of PwC Global Markets and Tax & Legal Services, said highly productive sectors had faster growth in job ads for people with AI skills than without, suggesting AI played a role in these sectors' higher productivity.

The trend of productivity growth generated by the technology was likely to accelerate as companies increasingly deployed generative AI which can be used by non-AI specialists, she said.

"The challenge with AI, and particularly generative AI, is the speed of the change," Stubbings said.

Last week the head of the International Monetary Fund Kristalina Georgieva said AI was hitting the global labour market "like a tsunami" and was likely to have an impact on 60% of jobs in advanced economies in the next two years.

The PwC report tracked and analysed over half a billion job ads from 15 rich countries and used data from the Organization for Economic Co-operation and Development.

It said jobs that require AI skills - including AI-specialist and non-specialist roles - carried a average premium of 25% in the US and 14% in Britain.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
TT

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.