In a groundbreaking insight shared with VentureBeat, the Boston Consulting Group (BCG) emphasizes a critical yet often ignored aspect of scaling artificial intelligence (AI) in enterprises: the untapped potential of existing data. As companies transition from experimental AI projects to scalable solutions, BCG urges business leaders to refocus on the data they've been overlooking.
Many organizations are eager to productize AI agents and applications, but BCG warns that without a strong foundation of relevant data, these efforts may fall short. The consultancy highlights that internal datasets—often unstructured or siloed—can hold the key to unlocking significant value if properly harnessed.
According to BCG, the journey to effective AI deployment starts with identifying and integrating this hidden data. This involves not just collecting new information but reevaluating existing resources that have been dismissed as irrelevant or too complex to process.
The shift from experimentation to execution also demands a cultural change within organizations. BCG stresses the importance of fostering a data-driven mindset across teams to ensure that AI initiatives align with business goals and deliver measurable ROI.
Furthermore, BCG advises companies to invest in technologies and partnerships that can help clean, structure, and analyze overlooked data. This step is crucial for building scalable AI systems that can adapt to evolving business needs and competitive landscapes.
As enterprises race to stay ahead in the AI era, BCG's message is clear: start with the data you already have but haven't fully utilized. By doing so, businesses can unlock transformative value and position themselves as leaders in the rapidly advancing world of enterprise AI.
Maria Lourdes
