This document discusses the need for thought leadership and innovative thinking over a sole focus on technology and data. It argues that meta-ideas, rather than just metadata, are driving innovations today. Interdisciplinary thought across industries and non-traditional hires are needed to develop new perspectives and break from traditional views. As data grows exponentially, new approaches are required that combine different data techniques rather than relying on single technologies. Advanced data modeling is needed to capture human concepts and link data to real-world contexts and objectives.
2. • Innovation and entrepreneurship often go
hand in hand
• Do we really understand these concepts?
• Being innovative and entrepreneurial involve
advancing new ideas in Data Science
• This talk will examine some shifting
fundamentals in software development and
the need for new perspectives on Data
Science