1216 episodios
Intelligent Operations at Enterprise Scale - with Dhrubojyoti Das Deb of JPMorganChase
09/10/2026 | 26 minAlert volume inside IT operations has outpaced manual triage, leaving real incidents buried in noise. In this episode, Dhrubojyoti Das Deb, SVP of Global IT at JPMorgan Chase & Co., explores how AI-driven correlation and intelligent grouping can turn thousands of alerts into a handful of actionable incidents. The conversation covers where accountability sits when AI assists in triage, how teams build trust in automation incrementally, and where leaders should start when moving from reactive firefighting to intelligent operations.
This episode is sponsored by BigPanda.
Learn how to build high-converting landing pages and use self-qualification systems to identify and prioritize high-intent leads. Download our free B2B AI Lead Generation Guide at emerj.com/aig1What Shared Intelligence Really Fixes in Enterprise AI - with John McMullan of Observe.ai
08/10/2026 | 27 minEnterprise CX teams have poured budget into AI, yet many still can't show measurable returns — frontline staff double-check the tools, and each new bot becomes another disconnected silo.
In this episode, John McMullan, Head of Product Marketing and Strategy at Observe.AI, joins host Yolandi de Weerdt to examine why AI adopted without operational discipline falls short, and how a shared interaction intelligence layer can carry context across AI agents, core systems, and human handoffs.
McMullan outlines the practical shifts: putting frontline experts, analysts, and engineers on the build team, starting with one small workflow and learning from early failures, testing agents against simulations of real conversations, and getting data clean and connected before scaling.
This episode is sponsored by Observe.AI.
To learn how to spot real AI trends in any sector, download our free report, "3 Ways to Discover AI Trends in Any Sector," at emerj.com/ait1Inside the Shift Toward Smarter Automated CX - with Paul Cuglietta of Simplyhealth
07/10/2026 | 21 minA single misstep in a new customer service channel can undo months of trust-building work.
In this episode, Paul Cuglietta, Customer Services Director at Simplyhealth, explores how disciplined testing, governance, and stakeholder sign-off shape agentic AI rollouts inside a regulated, high-trust environment.
The conversation covers matching automation to the way customers speak across channels, building a long-term AI vision tied to company purpose, and getting buy-in through comparable case studies.
This episode is sponsored by NiCE Cognigy.
Learn how to structure landing pages for higher conversion, and how to use self-qualification systems to prioritize high-intent leads, download our free PDF report, "B2B AI Lead Generation Guide," at emerj.com/aig1- An AI agent can function as designed yet produce results an organization cannot verify or safely use. In this episode, Melissa Ramey, Director, AI Transformation – Data Insights and User Experience at Salesforce, joins Emerj's Yolandi de Weerdt to examine who owns agent behavior after deployment and why correcting individual outputs does not fix the underlying workflow. She explains how source evidence, shared definitions, and clear decision boundaries help teams govern agents before expanding their autonomy.
To go deeper on AI strategy, including evidence-based AI ROI and building long-term capabilities, download Emerj's free PDF report, "3 Keys to Thriving in the Coming Era of Automation," at emerj.com/cok1 Turning Biological Complexity into R&D Advantage with Virtual Cells - with Giorgio Gaglia of Sanofi & Daniel Veres of Turbine
05/10/2026 | 31 minDrug discovery teams are running short of new ideas to test, and AI models that simulate how cells respond to drugs only pay off once leaders know when those predictions can be trusted with experiments, timelines, and budget.
In this episode, Daniel Veres, Co-Founder and Chief Scientific Officer at Turbine, and Giorgio Gaglia, Head of Systems and Disease Biology at Sanofi, examine with host Yolandi de Weerdt how testing models on data they have never seen shows which R&D decisions their predictions can reliably inform.
The discussion offers R&D leaders a practical way to judge when a model's predictions are ready to inform which experiments to run, where in the pipeline to start, and how much risk to accept.
This episode is sponsored by Turbine.
Learn how these conversations drive pipeline for other AI brands — download our media kit at emerj.com/AD1
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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.
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