Description: As AI continues to dominate headlines, many professionals are racing to build skills in machine learning and generative models. But what do business leaders and the C-suite really value when hiring data professionals? This webinar uncovers the critical role Business Analytics plays in strategic decision-making, and why companies are prioritizing data professionals who can bridge the gap between technology and business outcomes.

Join us for an interactive session that compares Analytics and AI roles, demystifies market trends, and explores how a Business Analytics Master’s program can prepare you for high-impact roles in today’s data-driven organizations.

Topics Covered:

AI vs Analytics: Role Differences & Overlaps
Who builds models vs who drives decisions?
What the C-Suite Wants: Insights from Industry
Real business problems need real interpreters, not just coders
Generative AI & Predictive Analytics: A Practical View
How analytics professionals use AI tools, not just build them
Career Pathways in Analytics vs AI
Salaries, roles, skills, and certifications in demand

Key Takeaways:
Understand the core differences between AI specialists and analytics professionals
Learn what skills are in demand across consulting, retail, finance, and tech sectors
Discover how analytics delivers ROI faster than experimental AI in business contexts
Get insights on career growth paths from analytics to leadership roles
Explore how the Business Analytics Master’s program gives you a competitive edge

Who Should Attend:

Working professionals in IT, business, consulting, finance, or operations
Early-career professionals evaluating Master’s programs in data fields
HR and L&D heads looking to upskill teams in business analytics
Anyone confused between pursuing AI, Data Science, or Analytics