AI isn’t just becoming a disruptive force in the oil/gas and energy industries. It is a disruptive force. And its role in the industrial sector will only continue to evolve in 2022 and beyond.
My company, AspenTech, recently commissioned an independent survey that highlights the extent to which AI embedded in fit-for-purpose industrial applications, or "industrial AI," has already begun to (re)shape operations at manufacturing sites like refineries, power plants and steam crackers. In that survey, 83% of industrial IT and operations decision makers remarked how industrial AI has already played a major or significant role in their organization’s digital transformation strategy, with 79% adding that they already have an industrial AI project deployed. The results of a survey from Deloitte show that 93% of manufacturing companies likewise believe AI is pivotal to driving growth and innovation in the industrial sector.
The problem isn’t convincing decision makers to integrate industrial AI into their technology stacks or overall business strategy. The real issue — and what will determine how influential industrial AI remains in the coming months and years — is how to deploy it in a way that maximizes its value and ROI.
Identifying The Roadblocks And The Solutions To Overcome Them
Industrial AI isn’t a switch that suddenly opens a spigot of improved production processes, reduced energy waste or more value-added business outcomes. And it’s tempting to want to bolt industrial AI onto your existing operations and believe that’s all it takes. But getting the most out of industrial AI and capitalizing on its potential to truly transform the oil/gas and energy industries means we need to identify the biggest structural challenges that are inhibiting its value — and what it will take to overcome those roadblocks.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/03/03/three-ways-to-overcome-industrial-ai-roadblocks/?sh=47362edc1466
My company, AspenTech, recently commissioned an independent survey that highlights the extent to which AI embedded in fit-for-purpose industrial applications, or "industrial AI," has already begun to (re)shape operations at manufacturing sites like refineries, power plants and steam crackers. In that survey, 83% of industrial IT and operations decision makers remarked how industrial AI has already played a major or significant role in their organization’s digital transformation strategy, with 79% adding that they already have an industrial AI project deployed. The results of a survey from Deloitte show that 93% of manufacturing companies likewise believe AI is pivotal to driving growth and innovation in the industrial sector.
The problem isn’t convincing decision makers to integrate industrial AI into their technology stacks or overall business strategy. The real issue — and what will determine how influential industrial AI remains in the coming months and years — is how to deploy it in a way that maximizes its value and ROI.
Identifying The Roadblocks And The Solutions To Overcome Them
Industrial AI isn’t a switch that suddenly opens a spigot of improved production processes, reduced energy waste or more value-added business outcomes. And it’s tempting to want to bolt industrial AI onto your existing operations and believe that’s all it takes. But getting the most out of industrial AI and capitalizing on its potential to truly transform the oil/gas and energy industries means we need to identify the biggest structural challenges that are inhibiting its value — and what it will take to overcome those roadblocks.
Continue reading: https://www.forbes.com/sites/forbestechcouncil/2022/03/03/three-ways-to-overcome-industrial-ai-roadblocks/?sh=47362edc1466
