Kimberly Nevala is a strategic advisor at SAS. She provides counsel on the strategic value and real-world realities of emerging advanced analytics and information trends to companies worldwide, and is currently focused on demystifying the business potential and practical implications of AI and machine learning.
In this Q&A with MIT/SMR Connections, Iain Brown, SAS’s head of data science for the United Kingdom and Ireland, discusses some key risks, ethical issues, and platform questions that organizations should consider before adopting AI and takes a quick look at current and emerging AI trends. Q: In your view,
In this Q&A with MIT/SMR Connections, Iain Brown, SAS’s head of data science for the United Kingdom and Ireland, discusses technical readiness for AI, customer adoption trends, IT’s changing role, and mission-critical considerations for technology and talent. Q: What does it mean, from both a technology and a cultural standpoint,
In this Q&A with MIT/SMR Connections, Gavin Day, Senior Vice President of Technology at SAS, shares real-life examples of artificial intelligence (AI) at work, discusses picking the right problems to solve with AI, dispels a common misconception about AI, and defines AI success. Q: Could you describe some especially interesting
