In the era of digital transformation, the ability to extract meaningful insights from data is an essential competency for organizations wishing to maintain their relevance and competitiveness. In this context, the Gartner Data & Analytics Conference has emerged as a beacon, guiding technology leaders through the latest trends and innovations in the field.
Recently, I had the privilege of attending this flagship event where discussions revolved around the impact of Generative Artificial Intelligence (GenAI) on businesses and how organizations can prepare to leverage its full potential. Here, I share the key insights that emerged from this inspiring event.
GenAI: Unveiling Tremendous Potential
GenAI represents a revolution in the business landscape, promising to transform the way organizations operate and create value. During the conference, it became evident that GenAI’s potential is vast and multifaceted, with a multitude of use cases across various sectors. However, one of the crucial challenges for companies is determining where to invest their limited resources. The key to this lies in prioritizing projects based on two main dimensions: the potential financial return for the business and the technical feasibility of the solution, especially regarding the availability of quality data.
Data Governance: A Prerequisite for GenAI Success
A recurring theme was the importance of data governance in the era of GenAI. Research presented at the event highlighted deficiencies in companies in this regard:
- Only 46% report having accurate and reliable data.
- Only 39% report having secure and well-governed data.
- Only 34% report having skills to mitigate potential risks associated with AI.
With the democratization of information and the increasing complexity of analytical operations, it becomes imperative to ensure that information is up-to-date, qualified, and secure. GenAI imposes an even greater demand for effective data governance, highlighting the need for organizations to invest in robust strategies in this area.
Data Democratization: Towards a Data-Driven Culture
Another crucial point discussed was data democratization and the building of a data-driven culture. According to research presented at the conference, over the past nine years, companies that treated Artificial Intelligence as strategic surpassed their competitors 80% of the time.
To truly become data-driven, companies must ensure that the right people have the correct access at the right time. Additionally, self-service solutions for business areas have emerged as an effective strategy to empower users to extract valuable insights without relying solely on analytics experts.
Valuable Insights for the Future of Organizations
Reflecting on the discussions and presentations at the Gartner Data & Analytics Conference, it is clear that organizations embracing GenAI as an integral part of their strategy will have the opportunity to differentiate their businesses and drive growth. However, to achieve this potential, it is essential to invest not only in technology but also in people and processes, especially regarding data governance and organizational culture.
In this sense, the Gartner Data & Analytics Conference continues to be an invaluable source of insights and guidance for technology leaders worldwide. This year’s discussions highlighted the importance of GenAI, the need for data governance, and the fundamental role of a data-driven culture in the organizations of the future. As IT leaders, it is our duty not only to absorb these insights but also to translate them into concrete actions that drive the success of our organizations and our clients in the ever-evolving digital landscape.
