app_store_button

google_play_button

DK - Details page - Device banner - 894x1036

Nyd den ubegrænsede adgang til tusindvis af spændende e- og lydbøger - helt gratis

Lyt når som helst, hvor som helst 

Daniel Faggella

The AI in Business Podcast is for non-technical business leaders who need to find AI opportunities, align AI capabilities with strategy, and deliver ROI.

Each week, Emerj research staff and journalists interview top AI executives from Fortune 2000 firms and unicorn startups - uncovering trends, use-cases, and best practices for practical AI adoption.

Visit our advertising page to learn more about reaching our executive audience of Fortune 2000 AI adopters: https://emerj.com/advertise

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

Managing Third-Party Risk at Scale Without Drowning in Surveys - with Carey Smith

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!

Why Enterprise AI Fails Without a Context Engine - with Eran Yahav of Tabnine

AI adoption is forcing a shift from automating yesterday's processes to redesigning the enterprise for differentiation and growth. In this episode, Dan Diasio, Global AI Consulting Leader and Americas Consulting CTO at EY, joins Emerj's Matthew DeMello to unpack why leading organizations are reallocating AI gains toward workforce reinvention, new operating models, and competitive advantage rather than headcount reduction. The conversation distills how executives are reframing investment strategy, avoiding the visibility trap, and aligning mindset, skill set, and tool set to unlock enterprise‑level value. 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! Learn how brands work with Emerj and other Emerj Media options at go.emerj.com/partner

From AI Experiments to Enterprise Value Driving Real Business ROI - with Dan Diasio of EY

The contact center is shifting from a service channel to a primary point of fraud, where text‑based systems fail to catch the signals that surface only in live voice. In this episode, Mike Pappas, CEO & Co‑Founder at Modulate, joins Emerj's Nick Gertsch to examine how audio‑native, multi‑model analysis exposes social engineering and deepfake‑driven threats that traditional tools routinely miss. The discussion highlights how leaders can strengthen real‑time detection, limit downstream financial and regulatory impact, and evaluate voice‑AI systems based on accuracy, speed, and adaptability to evolving fraud tactics. This episode is sponsored by Modulate. Learn how brands work with Emerj and other Emerj Media options atgo.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!

Why Ensemble Architectures Win Against Real-Time Voice Risk - with Mike Pappas of Modulate

A growing number of enterprises are discovering that early agent wins don't translate into scale because agents can connect but cannot yet share context or improve as a coordinated system. In this episode, Papi Menon, Vice President of Product Management and Chief Product Officer at Outshift by Cisco, joins Emerj's Matthew DeMello to unpack why the missing cognitive layer in multi‑agent environments limits progress and what it will take for agents to operate as a collective rather than isolated tools. He highlights how leaders can make meaningful headway by choosing low‑risk, high‑impact starting points and building on open, interoperable foundations that support future evolution. This episode is sponsored by Outshift by Cisco. 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!

From Multi Agent Systems to Institutional Learning in the Enterprise - with Papi Menon of Outshift by Cisco

Financial institutions are finding that the primary bottleneck to AI adoption isn't the technology itself, but the inability to govern sensitive data with the precision required for enterprise-scale deployment. In this episode, Mark Crean, Regional Vice President of Sales from Securiti AI and James Dean, AI Specialist at Google Cloud, breaks down how fragmented data and access risks keep high-value use cases trapped in the pilot phase. They outline the shift toward disciplined data classification and the cross-team alignment necessary to transition AI into regulated, revenue-critical workflows. The conversation highlights why remediation and traceability have become the ultimate benchmarks for safety and ROI in the sector. This episode is sponsored by Securiti AI. 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!

Why Financial AI Can't Scale Without Unified Governance with James Dean of Google and Mark Crean of Securiti

A decade of stalled industrial AI efforts has given way to a new phase where agentic systems can finally handle complex, variable operational tasks without the brittle constraints of earlier automation. In this episode, Somya Kapoor, CEO at IFS Loops, joins Daniel Faggella Emerj CEO and Head of Research to examine how digital workers can be introduced as task‑specific assistants that learn from business instructions and progressively take on procurement, service, and back‑office responsibilities. She highlights the shift toward managing these agents alongside human teams, emphasizing focused adoption, measurable operational gains, and the need for built‑in oversight, auditability, and guardrails. This episode is sponsored by IFS. 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!

How Digital Workers Are Changing Industrial Performance - with Somya Kapoor of IFS Loops

Enterprise AI is outpacing the operating models built to support it, forcing leaders to reconcile rapid iteration with safety, governance, and real‑world scale. In this episode, David Glick, SVP of Enterprise Business Services at Walmart, examines how stopwatch‑speed prototyping, nano‑agent architectures, and evolving security processes are reshaping enterprise delivery. The discussion highlights shifts from monoliths to federated agents, faster iteration cycles, and the emerging need to build the machine that builds the machine. Executives shaping real AI outcomes are invited to contribute their lessons to a curated peer audience. Learn more at go.emerj.com/expert to be considered for a future 'AI in Business' episode.
 
 Align your brand with the executives defining the enterprise AI agenda—partner at go.emerj.com/partner

How Walmart Is Reengineering AI Delivery Speed - with David Glick of Walmart

The traditional focus on supply chain efficiency has created brittle networks that break under modern volatility and shifting global trade consensus. Optilogic provides an AI‑native platform for supply chain design, where autonomous agents build models, generate scenarios, and evaluate network tradeoffs. In this episode, Don Hicks, CEO at Optilogic, unpacks why enterprise leaders must run supply chain planning and design as parallel, symbiotic processes to move beyond current network constraints and build for long-term resilience. The discussion outlines a framework for using AI to automate routine tactical decisions while leveraging human-led what-if simulations to architect future-state competitive advantages. 
 This episode is sponsored by Optilogic. Learn how brands work with Emerj and other Emerj Media options at emerj.com/partner

Why Supply Chain Design Becomes the Differentiator as AI Automates Planning - with Don Hicks of Optilogic

The reliance on historical data and manual CRM entry has created a significant gap between internal strategy and the real-time signals driving today's complex medical technology market. In this episode, Mike Monovoukas, CEO and Co-founder, and Alex Wakefield, CRO at AcuityMD, examine how operationalizing AI through proactive market signals and field-based insights can drive revenue growth by increasing representative effectiveness. The discussion outlines frameworks for achieving 10x efficiency gains by integrating voice-driven workflows and predictive data to accelerate territory onboarding and eliminate administrative burdens.
 
 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!
 
 This episode is sponsored by AcuityMD.

From Multi Agent Systems to Institutional Learning in the Enterprise - with Papi Menon of Outshift by Cisco

Lyt når som helst, hvor som helst

Other podcasts you might like ...