AI And Interoperability: Solving The Industrial Efficiency And Workforce Challenge
- 5 days ago
- 2 min read
ByAlexander Clausbruch, Forbes Councils Member.
for Forbes Technology Council COUNCIL POST | Membership (fee-based)
Alexander Clausbruch, Radix North America CEO, enabling customers to progress from Vision to Value - leading to stronger operational results
As companies contend with ongoing supply shocks and disruptions, executives are examining how to invest strategically in systems that are scalable, resilient and employee-friendly. One viable answer is interoperability. That's the ability of different systems, applications or machines to connect, exchange and use each other’s data without vendor lock-in.
For decades, companies have wrestled with fragmented solutions, piecemeal integrations and isolated systems that trap data in silos. However, in a world defined by volatility and change, fragmentation of any kind is becoming a liability.
Take the oil and gas sector, for example. Giants like Exxon or Shell exemplify sprawling, complex operations. Because building fully contextualized data layers could take decades, open standards offer a more realistic path to scaling insights across such vast companies.
In more fragmented downstream operations, cross-compatibility is the enabler that turns complexity into opportunity. Without it, companies can remain trapped in rigid architectures, unable to adapt when markets shift or new regulations emerge.
And the challenges go beyond efficiency. A generational gap is bearing down on the industry. Experienced operators are retiring, and younger workers are reluctant to take on jobs in remote, challenging environments.
Fortunately, interoperability, combined with AI, is bridging that gap. By serving as a universal interface, AI can deliver knowledge, training and decision support across interoperable systems.
New hires no longer need to memorize decades of knowledge; they can ask AI basic questions, accelerating their development. Open standards make this possible by ensuring that the AI system has access to the right data, in the right context, at the right time.
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Founded in 2010, Radix is a privately held technology solutions and services company operating globally, empowering customers with consulting, engineering, operations technology, and digital solutions. Radix combines key capabilities and practices to enable our worldwide customers to thrive in their technology journey. With North American headquarters in Houston, TX, and headquarters in Rio de Janeiro, Brazil, including offices in São Paulo and Belo Horizonte, Radix provides technology-based, data-driven solutions to asset-intensive industries. Radix's robust capabilities extend to more than 30 countries worldwide. Learn more: www.radixeng.com
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