Bayer, a life sciences company, is looking to better leverage the healthcare and agriculture opportunities presented by AI digitalisation within the region.
“Artificial intelligence (AI) is a source of both huge excitement and understandable apprehension – we must shape and use the technology in the way we want, to ensure trust amongst users” said Saskia Steinacker, global head of Digital Transformation at Bayer, at the AI Everything summit held in Dubai.
The two-day AI Everything summit, held under the patronage of His Highness Sheikh Mohammed Bin Rashid Al Maktoum, Vice President & Prime Minister of the UAE and Ruler of Dubai, is a result of the UAE’s mission to promote initiatives and collaborations within the field of AI. AI has had an unprecedented impact, potentially contributing $320 billion within the Middle East by 2030.
“At Bayer, we are leading digital transformation in the life sciences. There is a tremendous opportunity when it comes to AI in particular; we are constantly looking for novel ways to digitalise internal processes and collaborate more effectively. This is proving to be vital to become more agile and innovative within our industries,” said Ms Steinacker.
“Our objective is to have digitalisation play a more important role both in customer experience and within operations, so we can facilitate new digital business models”.
Within healthcare, AI presents the opportunity to identify diseases and illness at an earlier stage in order to provide earlier, personalised treatment. Moreover, new medications will be able to be brought to market earlier due to advanced analytics and use of clinical trial data. Bayer is looking to build their own AI assets leveraging their strong scientific and industrial base, state-of-the-art research labs, recognised leadership in robotics and innovative start-up solutions in the life sciences to shape the future of the business.
“As an example of our innovation within healthcare, we are currently working on an AI-driven solution to help radiologists detect the life-threatening lung disease CTEPH by automatically detecting disease patterns on CT scans” added Ms Steinacker.