It's not the technology, it's the people
The adoption of artificial intelligence (AI) solutions in companies is marked not only by technological advances, but mainly by how organizations integrate strategy, technology, and people. This approach to Technology and People Strategy is crucial to overcoming common barriers and maximizing the competitive benefits of AI. In this article, we explore how technology and talent management strategies are critical to implementing AI solutions that truly transform business.
Technology and People Strategy
1Implementing AI isn't simply about adopting the latest technology. Gartner highlights that many companies struggle to move their AI models from the pilot phase to production. A recent study found that only 54% of AI models make it to production due to difficulties in proving their value. The key to overcoming this barrier is a well-defined technology strategy that clearly aligns AI projects with business goals.
2It is important for companies to not only invest in advanced technology, but also to develop a robust and scalable infrastructure. This includes proper data management and the implementation of domain-specific models that can be smaller and less compute-intensive. According to Gartner, it is expected that by 2027, more than 50% of AI models used by companies will be specific to a business sector or function. This approach not only reduces the risks associated with generic models, but also facilitates faster and more effective adoption of AI.
The importance of talent management
However, technology alone does not drive digital transformation. The lack of specialized talent is one of the main barriers to AI adoption. Despite common belief, Gartner has found that 72% of organizations claim to be able to find or already have the AI talent they need. Nonetheless, effective talent management remains critical to ensure that AI projects are not only developed, but also successfully implemented.
It is vital that organizations invest in the ongoing training and development of their staff. Specific training programs in AI, as well as the creation of an organizational culture that fosters innovation and learning, are essential. In addition, collaboration across multidisciplinary teams can offer valuable insights that improve the development and deployment of AI solutions.
Integrating strategy, technology and people
For AI solutions to boost business competitiveness, a harmonious integration of the strategy, technology and people . This implies a holistic vision where each component works in synergy.
- Strategy : Clearly define how AI aligns with the company's strategic goals. This includes identifying key areas where AI can add value and establishing clear metrics to measure impact.
- Technology : Adopt technologies that are not only advanced, but also suitable for the specific needs of the business. This can include the implementation of domain-specific AI models and a flexible and scalable technology infrastructure.
- People : Invest in talent and foster a culture of innovation. Continuous training and interdisciplinary collaboration are crucial to maximizing the potential of AI.
3A McKinsey report highlights that AI can increase productivity and innovation, freeing up employees to perform higher value-added tasks and allowing companies to reach new markets. Nonetheless, to achieve these benefits, it is essential for companies to proactively manage the transition and implementation costs of AI systems.
It's not all about technology
The successful adoption of artificial intelligence in companies does not depend solely on the technology, but on how organizations integrate this technology into their overall strategy and how they manage their talent. Companies that achieve this integration are better positioned to overcome barriers and gain significant competitive advantages. At the end of the day, it's not technology that's driving digital transformation; It's the people and their ability to implement and manage these technologies effectively.
Organizations that understand these dynamics and act on them will be at the forefront of digital transformation, using AI not only to improve their operations, but also to innovate and lead in their respective markets.
- https://venturebeat.com/ai/new-gartner-survey-only-half-of-ai-models-make-it-into-production/ ↩︎
- https://www.gartner.com/en/articles/3-bold-and-actionable-predictions-for-the-future-of-genai ↩︎
- https://www.mckinsey.com/featured-insights/artificial-intelligence/the-promise-and-challenge-of-the-age-of-artificial-intelligence ↩︎