Part 2/12:
The pace of technological change is accelerating exponentially. Topics like the recent surge in AI tools—hundreds emerging daily—highlight a dynamic environment that challenges traditional boundaries. AI's success hinges on robust data engineering; without well-structured, accessible data pipelines, AI development stalls. In this interconnected ecosystem, several key themes emerge that are shaping the future of data engineering.
What Does It Mean to Be Value-Driven?
A core discussion revolved around whether organizations should pursue data-driven or value-driven approaches. While many businesses have adopted data-driven cultures—making decisions based on extensive analytics—the question remains: does focusing solely on data compromise actual business value?