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Better Data And Workforce Adoption Are Key To Maximizing AI
As AI has reached new mainstream heights in 2024, the technology’s true potential can only be unlocked by focusing on two crucial areas: data quality and workforce adoption.
To reap the full benefits of digital transformation, companies must take steps to accurately measure and clean data at its origination point – including data collection and transfer mechanisms, processing, storage and analytics. This ensures consistency across the organization, allowing for effective evaluation and scalability. For instance, if pumps in South America are described one way, they must be described the same way in Europe. Standardizing data collection, labeling and structuring enables companies to develop scalable modules to manage equipment globally. When a problem is fixed at a single plant or a solution is optimized in one locality, these learnings can be applied and scaled globally.
While buying or building technology may seem like the most straightforward step, the real challenge lies in unlocking its value and ensuring company-wide adoption. To achieve this, it is vital to implement change management strategies that prioritize technology integration. Moreover, successful global technology implementation requires capabilities that address cultural differences as well as operational and logistical challenges, including diverse languages and time zones.
To facilitate the take-up of technology, it’s essential to focus on training employees across all levels – from understanding basic mathematical models to creating business cases. By implementing comprehensive training programs, companies can build and utilize their own use cases, ensuring long-term adoption and value generation.
In 2025 and beyond, AI has the potential to transform companies into dynamic, globally agile organizations. With strong foundations in place and a highly experienced team on the ground, AI’s transformative power will be unleashed.
Source: www.forbes.com
