The AI in Business Podcast

The gap between customer expectations and operational delivery is widening as traditional reactive service models struggle with volume volatility and workforce attrition. In this episode, Philipp Heltewig, Chief AI Officer at NiCE, unpacks how enterprises can transition to a proactive, AI-first customer experience by rethinking core service processes for the age of automation. The discussion outlines the shift from measuring simple deflection to prioritizing resolution quality, alongside the technical requirements for structuring APIs and knowledge bases to support high-performance AI agents. This episode is sponsored by NiCE. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprise legal departments are currently navigating a breakdown in AI adoption caused by scattered data, inconsistent global regulations, and a lack of clear governance for grading automated workflows. In this episode, Christo Siebrits, Senior Associate and General Counsel at AbbVie, outlines how a validated internal large language model environment combined with a forced-ranking strategy for use cases can mitigate risk while focusing technical resources on high-value initiatives. The discussion focuses on practical frameworks for cross-functional training, aligning with the EU AI Act, and integrating legal oversight into early-stage technical development to ensure scalable and compliant innovation.


Want to share your AI adoption story with executive peers? Click go.emerj.com/expert.for more information and to be a potential future guest on the 'AI in Business' podcast!

Supply chains are being pushed to move faster while geopolitical volatility makes traditional planning cycles increasingly fragile for global enterprises. In this episode, Edmund Zagorin, Founding Chief Strategy Officer at Arkestro, and Mike Shin, Chief Supply Chain Officer at Trinity Rail Industries, join Daniel Faggella, Emerj CEO and Head of Research, to examine how proactive, data‑driven procurement models help organizations balance cost, capacity, and continuity under these conditions. They highlight how offer‑driven sourcing, automated contract intelligence, and supplier‑alternative discovery shorten decision cycles, surface hidden risks, and strengthen collaboration across procurement and supply chain teams. This episode is sponsored by Arkestro. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner.  Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!

The collapse of traditional, static survey models at scale creates a systemic visibility gap that transforms multi-tier supply chain dependencies into boardroom-level risks. In this Aravo-sponsored episode, Carey Smith, former CIO and Chief Technology Innovation Officer of Blue Cross Blue Shield of Minnesota and President and CIO of XcelerateHealth, outlines how enterprises must transition to continuous, AI-enabled monitoring to achieve deterministic explainability in risk scoring. The discussion focuses on shifting from simple risk detection to operational resilience by automating remediation playbooks and segmenting vendor scrutiny based on business materiality
Want to share your AI adoption story with executive peers? Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

Enterprises are facing an 80% failure rate for AI agents in complex tasks because these systems lack the deep understanding required to navigate established legacy environments and existing internal systems. In this episode, Eran Yahav, CTO and co-founder at Tabnine, outlines how an enterprise context engine acts as a persistent memory and mapping layer that onboards AI systems into specific business logic, security perimeters, and organizational dependencies. The conversation highlights how this infrastructure can double agent success rates and reduce token costs by 80% while allowing technical leaders to establish swim lanes that ensure agents operate reliably within complex software architectures. This episode is sponsored by Tabnine. Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner.  Want to share your AI adoption story with executive peers? Click go.emerj.com/expert for more information and to be a potential future guest on the 'AI in Business' podcast!