An agenda built through deep collaboration with our community to ensure every session delivers substance over soundbites. You’ll hear from true subject matter leaders via candid case studies, collaborative roundtables, and varied panel discussions —providing clarity on what’s driving success across the customer engagement landscape
• Equip senior leaders with AI literacy through interactions with AI champions to truly understand the impact new tech has across the commercial lifecycle.
• Prove technology ROI and accelerate scale by aligning leadership and frontline teams through shared commercial data visibility to close the gap between those buying the tech and those using it.
Daniele Iacovelli, SVP, Global Head Roche Digital Technology Pharma Medicines, Roche
• Experience and change management: How reviewers went from sceptical to confident.
Impact: What it meant for the business, beyond the review queue.
• Lessons learned: What worked, what didn't, and what we'd do differently.
Oliver Cockayne, Digital & Commercial Product Manager UK & IE, Ferring UK and Ireland
William McCully, Co-Founder & Director, Aithena
• Deliver measurable cost savings and productivity gains by building a board-ready ROI narrative grounded in revenue figures and commercial outcomes that justifies scaling AI from experiment to enterprise.
• Pinpoint where AI investment pays off and where it stalls by benchmarking against defined commercial metrics, so you can decide faster what to prioritise and how to turn pilots into scaled results.
Diana Medeiros Placido, CDTO, ViiV Healthcare
Shreenivasa Rajanala, VP, Data, Analytics and AI, Global Commercialisation, Bayer
Chad Lacrosse, Vice President, Global Commercial BTS, Abbvie
• Accelerate commercial AI performance by closing the organisational adoption gap, turning field force sceptics into confident, productive users who deliver ROI from day one.
• Transform leadership from adoption obstacles into adoption engines by equipping department heads with the AI literacy and accountability structures that embed technology into daily workflows.
- Move beyond efficiency as the goal and use AI to redesign how decisions are made across your organisation
- Shift competitive advantage from access to technology to the human capabilities that create value: judgment, creativity and critical thinking
- Create more agile organisations by enabling smaller, earlier and better-informed decisions closer to the customer and the market
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Vinoth Manoharan, Head of Innovation, Syneos Health
Andreas Reinbolz, Managing Director, Communications, Syneos Health
- Power the launch execution with data architecture that connects marketing, sales, and customer-facing data within a single database
- Deploy highly accurate commercial AI by implementing customer interaction capture tools that convert real-time behavioural data into next-best-action decisions for your CX teams
Svetoslav Tsenov, General Manager, Bulgaria, Hungary, Romania, and Greece, Astellas
Saba Belay, Global Head of Data, Digital & AI, Pharma Commercial Operations, Roche
- Protect future commercial intelligence by establishing HCP data ownership and governance standards at CRM implementation, before delivery pressure forces shortcuts
- Develop your CRM to deliver one version of truth from day one with aligned teams around shared taxonomies and segmentation definitions pre-launch
- Transform your database from a passive activity log into an active commercial engine, delivering prioritised HCP recommendations and real-time opportunity signals at the point of engagement, from pre-launch through to peak sales
- Close the gap between commercial strategy and field reality with connected data and analytics to create interactions that shift prescribing behaviour and protect revenue at scale
Necati Sebe, Senior Director, Field Force and Digital Transformation, International Markets, GSK
Luca Magri, Head of Strategy, Excellence & Innovation, Bayer
Sree Bhagyadutt Dodda, Director, HCP Engagements, Novo Nordisk
Kruti Popat, Director, Customer Experience, Boehringer Ingelheim
- Improve AI answer accuracy by identifying the business context, rules, and data foundations that transform generic assistants into commercial intelligence agents
- Discover the highest-value semantic and process enrichments that enable AI to deliver more relevant, trusted, and actionable insights.
Heath Durrans, Director of Commercial Pharma, C&F
- Accelerate HCP engagement quality by deploying AI as the behind-the-scenes analyst, surfacing timely, accurate insights so field teams walk into every conversation fully prepared
- Embed a human-first engagement model that preserves rep authority and clinical trust, while using clean, harmonised data to power next-best-action at the individual HCP level
Ayesha Aziz-Akosa, Head of Global Marketing, Established Brands, AstellasÂ
- Unlock real-time insights into clinical decision-making by capturing behavioural data at the point of care to reveal why HCPs choose specific treatments before a decision is made
- Gain access to 86,000+ physicians and pharmacists' real-time decisions through AI co-pilot data to reveal cross-setting treatment patterns in seasonal diseases, uncovering market gaps invisible in traditional data sources.
- This session will show what becomes visible when bridging these two HCP populations, using seasonal diseases as an example, relevant to both pharma and consumer health, benchmarked against publicly available data.
Bespoke beats off-the-rack: Build channel-ready HCP profiles that fit every prescriber, not every segment
- Optimise omnichannel execution by unifying prescribing behaviour, engagement history, and real-time market signals into AI-powered HCP profiles that deliver personalised content from launch onwards
- Give field and marketing teams the analytics tools to act with confidence, connecting clean HCP intelligence to prescription impact across every channel
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Cyril Mandry, International Head of Oncology Customer Engagement & Omnichannel Experience, MSD
Sihame Bahri, Global Omnichannel Engagement Lead Nephrology and Iron Portfolios, CSL
William Fraser, Head of Marketing UK, Roche
- Build enterprise-wide data integration across key commercial systems using semantic layers, knowledge graphs, and MDM and eliminate silos rather than create new ones
- Accelerate compliant AI adoption through governance-by-design and federated architectures and enable enterprise control and agility at the same time
Riccardo Calliano, VP Finance, GenAI Commercial Investments, GSKÂ
• Transform infrastructure from tool-centric to purpose-centric by deploying LLM-ready semantic layers, workflow orchestration, and compliance validation frameworks that enable autonomous commercial decision-making.
• Close the top barriers to agentic deployment through embedded auditability and cross-functional oversight in your data platform from day one.
- Unlock scalable, compliant content generation by unifying clinical insights, customer data, and engagement analytics through AI-ready infrastructure that enables personalised HCP communications across every therapeutic area and channel
- Accelerate content production and deployment by implementing generative AI tools and martech platforms that transform fragmented medical and commercial data into targeted campaign assets, educational materials, and omnichannel touchpoints at speed
Vicky Ngo, AVP, International Lead, Digital Human Health, MSD
Nisha Paliwal, Vice President, Commercial BTS Data and AI, Abbvie
Claudio Cipriani, Head of Global Commercial Services, Organon
- Move beyond fragmented data infrastructure and make the real architectural decisions that transform your commercial data from a liability into a scalable AI asset
- Define the cross-functional ownership structures and quality standards that give your organisation the confidence to deploy AI across commercial workflows at speed
Mikhail Komarov, Commercial Data Engineering, Analytics and AI Lead, PfizerÂ
• Deploy the integration architecture and middleware that eliminates the gaps between siloed data sources, turning disconnected systems into a unified platform your AI can query, trust, and act on.
• Give your organisation the technical foundation to move from fragmented pilots to enterprise production — meet EMA and FDA standards without becoming a brake on commercial execution.
- Cut through the complexity of multi-agent architecture by understanding what infrastructure, protocols, and governance frameworks are needed to move agentic AI from isolated pilots into coordinated, enterprise-scale commercial operations
- Ensure your agents do only what they should by building the security guardrails, observability layers, and human-in-the-loop controls that make agentic AI trustworthy enough to embed into regulated commercial workflows
Sudeep Gupta, Global Head of Data, Kyowa Kirin
Bruno Mariano Rizzuti, Head of Infrastructure Data Engineering & Governance, Boehringer Ingelheim
Marion Legler, Head of Pharma Decision Science & AI, Bayer
- Reach more HCPs and drive greater commercial impact by translating your AI pilot results into the revenue influence, efficiency gains, and patient outcome narratives that compel leadership to fund enterprise-wide expansion
- Secure that investment by expanding your early adopter base, presenting cost-saving evidence, and equipping champions with the frameworks to accelerate stakeholder sign-off before the window closes
• Ensure sound infrastructure, clean data pipelines, and seamless workflow integration to eliminate the failure points that have typically stopped AI projects from ever reaching the field.
• Demonstrate ROI measurement frameworks and adoption tooling that give commercial and data leaders evidence to secure executive buy-in, accelerate cross-functional rollout, and sustain AI performance at scale.
- Interrogate the real numbers behind successful enterprise AI deployments and the specific investment decisions that freed commercial teams to spend more time where it matters: engaging HCPs and patients
- Replicate the commercial frameworks and leadership conditions that converted AI experimentation into measurable launch impact, and apply them across your own enterprise to accelerate market penetration
Margi Sheth, Head, AI Governance & Enablement, Novo Nordisk
Antonello Cocco, EMEA Head of Integrated Strategic Insights, Johnson & Johnson Innovative Medicine
Marina Borozna, Head of Data and AI Strategy, Ipsen
• Equip senior leaders with AI literacy through interactions with AI champions to truly understand the impact new tech has across the commercial lifecycle.
• Prove technology ROI and accelerate scale by aligning leadership and frontline teams through shared commercial data visibility to close the gap between those buying the tech and those using it.
Daniele Iacovelli, SVP, Global Head Roche Digital Technology Pharma Medicines, Roche
• Experience and change management: How reviewers went from sceptical to confident.
Impact: What it meant for the business, beyond the review queue.
• Lessons learned: What worked, what didn't, and what we'd do differently.
Â
Oliver Cockayne, Digital & Commercial Product Manager UK & IE, Ferring UK and Ireland
William McCully, Co-Founder & Director, Aithena
• Deliver measurable cost savings and productivity gains by building a board-ready ROI narrative grounded in revenue figures and commercial outcomes that justifies scaling AI from experiment to enterprise.
• Pinpoint where AI investment pays off and where it stalls by benchmarking against defined commercial metrics, so you can decide faster what to prioritise and how to turn pilots into scaled results.
Diana Medeiros Placido, CDTO, ViiV Healthcare
Shreenivasa Rajanala, VP, Data, Analytics and AI, Global Commercialisation, Bayer
Chad Lacrosse, Vice President, Global Commercial BTS, Abbvie
• Accelerate commercial AI performance by closing the organisational adoption gap, turning field force sceptics into confident, productive users who deliver ROI from day one.
• Transform leadership from adoption obstacles into adoption engines by equipping department heads with the AI literacy and accountability structures that embed technology into daily workflows.
- Move beyond efficiency as the goal and use AI to redesign how decisions are made across your organisation
- Shift competitive advantage from access to technology to the human capabilities that create value: judgment, creativity and critical thinking
- Create more agile organisations by enabling smaller, earlier and better-informed decisions closer to the customer and the market
Vinoth Manoharan, Head of Innovation, Syneos Health
Andreas Reinbolz, Managing Director, Communications, Syneos Health
- Power the launch execution with data architecture that connects marketing, sales, and customer-facing data within a single database
- Deploy highly accurate commercial AI by implementing customer interaction capture tools that convert real-time behavioural data into next-best-action decisions for your CX teams
Svetoslav Tsenov, General Manager, Bulgaria, Hungary, Romania, and Greece, Astellas
Saba Belay, Global Head of Data, Digital & AI, Pharma Commercial Operations, Roche
- Build enterprise-wide data integration across key commercial systems using semantic layers, knowledge graphs, and MDM and eliminate silos rather than create new ones
- Accelerate compliant AI adoption through governance-by-design and federated architectures and enable enterprise control and agility at the same time
Riccardo Calliano, VP Finance, GenAI Commercial Investments, GSKÂ
• Transform infrastructure from tool-centric to purpose-centric by deploying LLM-ready semantic layers, workflow orchestration, and compliance validation frameworks that enable autonomous commercial decision-making.
• Close the top barriers to agentic deployment through embedded auditability and cross-functional oversight in your data platform from day one.
- Unlock scalable, compliant content generation by unifying clinical insights, customer data, and engagement analytics through AI-ready infrastructure that enables personalised HCP communications across every therapeutic area and channel
- Accelerate content production and deployment by implementing generative AI tools and martech platforms that transform fragmented medical and commercial data into targeted campaign assets, educational materials, and omnichannel touchpoints at speed
Vicky Ngo, AVP, International Lead, Digital Human Health, MSD
Nisha Paliwal, Vice President, Commercial BTS Data and AI, Abbvie
Claudio Cipriani, Head of Global Commercial Services, Organon
- Protect future commercial intelligence by establishing HCP data ownership and governance standards at CRM implementation, before delivery pressure forces shortcuts
- Develop your CRM to deliver one version of truth from day one with aligned teams around shared taxonomies and segmentation definitions pre-launch
- Transform your database from a passive activity log into an active commercial engine, delivering prioritised HCP recommendations and real-time opportunity signals at the point of engagement, from pre-launch through to peak sales
- Close the gap between commercial strategy and field reality with connected data and analytics to create interactions that shift prescribing behaviour and protect revenue at scale
Necati Sebe, Senior Director, Field Force and Digital Transformation, International Markets, GSK
Luca Magri, Head of Strategy, Excellence & Innovation, Bayer
Sree Bhagyadutt Dodda, Director, HCP Engagements, Novo Nordisk
Kruti Popat, Director, Customer Experience, Boehringer Ingelheim
- Accelerate HCP engagement quality by deploying AI as the behind-the-scenes analyst, surfacing timely, accurate insights so field teams walk into every conversation fully prepared
- Embed a human-first engagement model that preserves rep authority and clinical trust, while using clean, harmonised data to power next-best-action at the individual HCP level
Ayesha Aziz-Akosa, Head of Global Marketing, Established Brands, AstellasÂ
- Unlock real-time insights into clinical decision-making by capturing behavioural data at the point of care to reveal why HCPs choose specific treatments before a decision is made
- Gain access to 86,000+ physicians and pharmacists' real-time decisions through AI co-pilot data to reveal cross-setting treatment patterns in seasonal diseases, uncovering market gaps invisible in traditional data sources.
- This session will show what becomes visible when bridging these two HCP populations, using seasonal diseases as an example, relevant to both pharma and consumer health, benchmarked against publicly available data.
Bespoke beats off-the-rack: Build channel-ready HCP profiles that fit every prescriber, not every segment
- Optimise omnichannel execution by unifying prescribing behaviour, engagement history, and real-time market signals into AI-powered HCP profiles that deliver personalised content from launch onwards
- Give field and marketing teams the analytics tools to act with confidence, connecting clean HCP intelligence to prescription impact across every channel
Cyril Mandry, International Head of Oncology Customer Engagement & Omnichannel Experience, MSD
Sihame Bahri, Global Omnichannel Engagement Lead Nephrology and Iron Portfolios, CSL
William Fraser, Head of Marketing UK, RocheÂ
- Move beyond fragmented data infrastructure and make the real architectural decisions that transform your commercial data from a liability into a scalable AI asset
- Define the cross-functional ownership structures and quality standards that give your organisation the confidence to deploy AI across commercial workflows at speed
Mikhail Komarov, Commercial Data Engineering, Analytics and AI Lead, PfizerÂ
• Deploy the integration architecture and middleware that eliminates the gaps between siloed data sources, turning disconnected systems into a unified platform your AI can query, trust, and act on.
• Give your organisation the technical foundation to move from fragmented pilots to enterprise production — meet EMA and FDA standards without becoming a brake on commercial execution.
- Cut through the complexity of multi-agent architecture by understanding what infrastructure, protocols, and governance frameworks are needed to move agentic AI from isolated pilots into coordinated, enterprise-scale commercial operations
- Ensure your agents do only what they should by building the security guardrails, observability layers, and human-in-the-loop controls that make agentic AI trustworthy enough to embed into regulated commercial workflows
Sudeep Gupta, Global Head of Data, Kyowa Kirin
Bruno Mariano Rizzuti, Head of Infrastructure Data Engineering & Governance, Boehringer Ingelheim
Marion Legler, Head of Pharma Decision Science & AI, Bayer
- Reach more HCPs and drive greater commercial impact by translating your AI pilot results into the revenue influence, efficiency gains, and patient outcome narratives that compel leadership to fund enterprise-wide expansion
- Secure that investment by expanding your early adopter base, presenting cost-saving evidence, and equipping champions with the frameworks to accelerate stakeholder sign-off before the window closes
• Ensure sound infrastructure, clean data pipelines, and seamless workflow integration to eliminate the failure points that have typically stopped AI projects from ever reaching the field.
• Demonstrate ROI measurement frameworks and adoption tooling that give commercial and data leaders evidence to secure executive buy-in, accelerate cross-functional rollout, and sustain AI performance at scale.
- Interrogate the real numbers behind successful enterprise AI deployments and the specific investment decisions that freed commercial teams to spend more time where it matters: engaging HCPs and patients
- Replicate the commercial frameworks and leadership conditions that converted AI experimentation into measurable launch impact, and apply them across your own enterprise to accelerate market penetration
Margi Sheth, Head, AI Governance & Enablement, Novo Nordisk
Antonello Cocco, EMEA Head of Integrated Strategic Insights, Johnson & Johnson Innovative Medicine
Marina Borozna, Head of Data and AI Strategy, Ipsen
- Improve AI answer accuracy by identifying the business context, rules, and data foundations that transform generic assistants into commercial intelligence agents
- Discover the highest-value semantic and process enrichments that enable AI to deliver more relevant, trusted, and actionable insights.
Heath Durrans, Director of Commercial Pharma, C&F
