Artificial intelligence, among other data analytics trends, is set to undergo transformative changes primarily affecting businesses that effectively harness its power to become leaders in their industries.
This is according to a data analyst, Damilare Tiamiyu, who has six years of experience in driving global business transformations through analytics.
In a statement, Tiamiyu identified five major trends that will define data analytics in 2025 and beyond, including hyper-automation, the convergence of AI and analytics, ethical AI and practices data leaders, cutting-edge analytics and a data-centric culture.
“Hyperautomation, the convergence of AI and analytics, ethical AI and responsible data practices, cutting-edge analytics and a data-centric culture will be the defining trends in data analysis,” Tiamiyu said.
He highlighted the growing role of technologies such as AI and machine learning in enabling businesses to process massive data sets with greater speed and accuracy.
Tiamiyu also highlighted the need for ethical AI and responsible use of data to drive sustainable innovation and maintain public trust.
“By 2025, data literacy programs will become the norm, and companies that invest in training their employees to understand and interpret data will reap the benefits of a more empowered workforce,” he said. he noted.
Tiamiyu added that cultivating a data-centric culture would be essential for businesses that want to stay competitive.
This means prioritizing data literacy among employees and integrating analytics into decision-making processes.
As businesses navigate an evolving analytics landscape, Tiamiyu’s forecast highlights the importance of staying ahead of these trends to ensure growth and industry leadership.
