Enterprise software has reached an inflection point. For decades, organizations have built their digital infrastructure around SAAS platforms, adding artificial intelligence capabilities as an afterthought layering AI features onto existing systems rather than reimagining how work gets done. This approach, while familiar, increasingly constrains businesses seeking adaptability, personalization, and competitive advantage.
The idea of an AI-first enterprise is changing how businesses use technology. Instead of using strict software that makes people follow fixed rules, AI systems can adjust to what users really need. But shifting to this approach isn’t easy, companies need to deal with issues like data quality, regulations, employee training, and proving return on investment.
At CDO Vision Boston, industry leaders shared their experiences at a panel discussion with AI-first approaches both the opportunities they see and the real-world obstacles they're working through. The conversation was moderated by Himanshu Jain, AVP, AI & Data Science at CVS Health and the panel featured Jürgen Weichenbergerr Head of AI, Strategy & Innovation at Schneider Electric, Trang Nguyen VP of Data Science at Prudential, Dave Murray - Head of Enterprise AI and Data Management at Welch, Limor Gultchin VP of AI/ML at Berkshire Partners.
AI-first approaches offer four major benefits: enhanced customer experience through personalization, boosted employee productivity through automation and analytics, faster speed to value by turning ideas into action quickly, and greater flexibility and collaboration, empowering employees to innovate across the organization.
Customer-First
