The industrial gases industry is evolving rapidly, with enhanced efficiency and improved safety to the fore, as well as meeting sustainability goals.
Artificial Intelligence (AI) is emerging as crucial took, improving operations from asset tracking to predictive maintenance and smoothing supply chains. But how can companies across the industry best leverage AI while ensuring compliance and operational continuity?
In an exclusive gasworld webinar on 30 May [Friday], we will explore how intelligent automation is reshaping the industry. From streamlining asset management to reducing emissions and sharpening decision-making, the session will provide essential insights into the AI-driven future of industrial gases.
- How is AI transforming asset tracking, cylinder management, and logistics?
- What role do predictive analytics play in improving safety and reducing downtime?
- How can companies harness AI to drive both efficiency and sustainability?
Join gasworld, together with sponsors TrackAbout (Elizabeth Wallace, Vice-President of Product) and Datacor (Lou Zhang, Science Lead, Data Science) as we tackle these questions and more. Click here to register.
AI ‘can drive transformation’
AI is poised to drive the next wave of economic transformation, unlocking significant growth potential but also introducing serious risks, according to a new World Economic Forum survey.
Nearly half (46%) of chief economists expect AI to deliver a modest global real GDP boost of 0-5% points over the next decade, with a further 35% projecting more striking gains of 5-10% points.
Growth will come through task automation (68% flag this), accelerated innovation (62%) and worker augmentation (49%). Despite the potential, however, concerns persist: 47% expect net job losses over the next decade, compared with just 19% who expect gains.
Above all, respondents highlighted the misuse of AI for disinformation and societal destabilisation as the top risk to the economy and society (53%). Other risks include the rising concentration of market power (47%) and disruption of existing business models (44%).
To fully harness AI’s potential, the economists emphasised the need for bold action from governments and businesses.
For governments, top priorities include investing in AI infrastructure (89%), promoting adoption across key industries (86%), facilitating AI talent mobility (80%), and investing in upskilling and redeployment (75%).
For businesses, the focus is on adapting core processes to integrate AI (95%), reskilling employees (91%) and training leadership to steer AI-driven transformation (83%).
