• Hear a biopharma CEO's perspective on the scientific, strategic, and collaborative ingredients required to transform pipelines and deliver the next generation of therapies that redefine patient outcomesÂ
• Explore why US leadership in biomedical innovation matters and discover the integrated approach across discovery, development, and delivery that ensures breakthrough breakthroughs reach patients faster and create sustainable competitive advantageÂ
• Redefine marketing's role from activity executor to barrier owner by leveraging AI to eliminate routine work, strengthen customer outcomes and drive competitive advantageÂ
• Reduce the distance to patients by eliminating barriers, reducing fragmentation and creating the experiences that move customers closer to better outcomesÂ
• Move beyond campaign-driven touchpoints to recognize and respond to the physician's exact moment of need using integrated data to turn insight into immediate actionÂ
• Align cross-functional teams around HCP-centric priorities to close the gap on critical missed moments and advance competitive market shareÂ
• Let authentic patient intelligence drive your toughest strategic decisions and uncover the unmet needs competitors miss and designing experiences that build loyalty and competitive advantageÂ
• Embed patient outcomes as an organizational accountability principle so patient-centricity shapes how you innovate, launch, and win – not what you claim in mission statementsÂ
• Establish one shared enterprise context across cross-functional teams eliminating siloed interpretations of customer data, priorities, and strategy that create cascading unintended consequencesÂ
• Align teams around one unified customer intelligence and execution sequence so decisions cascade forward into coordinated action, not backward into competing priorities and delayed impactÂ
• Shift the conversation beyond weight management toward metabolic health by bringing together commercial and medical leadership perspectives on a more holistic approach to careÂ
• Connect science, patient journey, and clinical outcomes to enable earlier intervention and better long-term health outcomes for patientsÂ
• Expand your addressable market beyond your label by using patient insights to reveal undiagnosed populations and clinical gaps that represent significant untapped growthÂ
• Translate real-world disease burden into competitive advantage by operationalizing the capability to reach eligible patients - turning strategic vision into measurable market expansionÂ
Beyond intuition:Â Build experiences that convert behavior through AI precision and psychological insightÂ
• Move beyond training and awareness to achieve genuine adoption by embedding behavioural science as a foundational discipline in every stage of CX designÂ
• Create lasting behaviour change by treating behavioural science as a core CX discipline that drives real adoption of new tools and ways of workingÂ
• Deliver consumer-grade HCP experiences at scale by integrating AI-powered personalisation platforms that transform every touchpoint into a meaningful, connected moment — moving HCPs seamlessly from first awareness to genuine, lasting adoptionÂ
• Strengthen sales force impact across omnichannel by deploying next-generation engagement tools that translate real-time HCP signals into dynamic, data-driven interactions deepening relationships and elevating the customer journey at every stageÂ
Elevate HCP engagement to customer standards: transform sales force impact by deploying next-generation engagement capabilities
• Transform HCP loyalty and satisfaction by adopting consumer-grade experience standards that deliver the seamless, personalized service healthcare professionals now expectÂ
• Evolve sales force effectiveness through modern engagement models that leverage data-driven personalization and omnichannel excellence to deepen customer relationships
Beyond the prescriber: Map the complex stakeholder ecosystem to navigate the new commercial realityÂ
• Master complex stakeholder ecosystems: reframe site conversations from product details to institutional partnership and equip teams to engage diverse stakeholders around shared patient‑outcome objectivesÂ
• Secure confident market positioning by identifying and engaging the complete ecosystem—HCPs, executives, advocacy groups, and payers—before product launchÂ
Relationship continuity in volatile markets: Protect and grow accounts through ownership shifts and structural change
• Strengthen commercial momentum across PE-backed, hospital-employed, and independent practices by building stakeholder maps that adapt to leadership transitions before they disrupt revenueÂ
• Accelerate account recovery after ownership changes through pre-built engagement playbooks that position pharma as a trusted partner to incoming decision-makers from day oneÂ
Stakeholder mapping and identification redefined: Win the consolidated account when the physician is no longer the only voice that matters
• Accelerate account growth by matching the right stakeholder to the right ownership structure by categorizing healthcare entities into key ownership structures and identifying the distinct motivations and decision-making dynamics within each.Â
• Strengthen impact by deploying fit-for-purpose representatives to each ownership structure – from field reps for independent practices to account managers for private equity-owned and hospital systems who can align pharmaceutical value to evidence, cost containment, and financial health outcomes.Â
From bottleneck to breakthrough: The AI-powered MLR infrastructure that puts compliant, differentiated content in market faster
• Accelerate time-to-market for brand-specific, clinically nuanced content by deploying AI review platforms that embed regulatory guardrails directly into the content creation workflow – before a single asset reaches the MLR queueÂ
• Deliver physician-relevant commercial outputs at scale by integrating molecule-specific data infrastructure with AI content engines that replace generic off-the-shelf outputs with differentiated, compliant brand narratives across every channel
• Scale personalized engagement and establish competitive advantage by developing governed AI capabilities that deliver differentiation through intelligent, data-driven customer experiencesÂ
• Accelerate customer engagement by transforming traditional, always-on campaigns into responsive, intelligence-driven omnichannel experiences that react dynamically to customer signalsÂ
Build connected AI fluency across marketing and commercial excellence to drive impactful commercial performanceÂ
• Equip your marketing, AI, and commercial excellence teams with the strategic fluency needed to move from AI experimentation to enterprise-wide impactÂ
• Transform how your organization deploys AI – not as a point solution, but as a connected capability that drives commercial performance across every marketing functionÂ
• Accelerate quality outcomes and regulatory confidence by unifying manufacturing, quality, supply chain, and regulatory data within a single harmonized architecture.
• Build an AI-ready foundation through interoperable data frameworks that improve operational efficiency, strengthen audit readiness, and enable faster decision-making.
• Unlock commercial team performance and accelerate engagement outcomes by building AI-ready data ecosystems designed for reuse, interoperability, and regulatory standards
• Accelerate enterprise AI maturity by unifying fragmented data and ensuring data is reusable, auditable, and production-grade
• Accelerate AI accuracy and decision confidence by integrating operational data with regulatory, scientific, and clinical content to eliminate fragmented insights.
• Build a governed, enterprise-wide intelligence layer that makes trusted, AI-ready data accessible across manufacturing, quality, supply chain, and commercial functions.
• Strengthen enterprise AI performance by replacing one-off pilots with standardized commercial processes and autonomous workflow frameworks operate, scale, and survive regulatory compliance pressure
• Forge the cross-functional alignment between business, data, and technology teams and convert organizational silos into a shared AI execution infrastructure
• Build orchestration infrastructure that pharma's most ambitious pilot projects have been missing and convert isolated proof-of-concept investment into scalable, audit-ready enterprise workflows
• Drive AI value realization at scale by building the cross-functional operating model that aligns business, data, and technology leaders around shared platforms and adoption strategies
• Create repeatable launch playbooks across data, digital, AI, and technology to support growing portfolios without rebuilding capabilities for every brand launch
• Balance growth ambitions with operating margin pressures by identifying where automation, shared services, and AI can reduce commercial costs
• Deliver both immediate impact and long-term transformation flexibility through an AI investment roadmap that combines trusted enterprise platforms with emerging innovation models
• Integrate your platform and innovation teams, align governance to enable innovation speed, and establish a portfolio office that moves resources based on value
• Drive pilot-to-production conversion by embedding copilots, AI assistants, and agentic workflows into the daily processes of commercial, medical, and regulatory teams
• Equip data and tech leaders with the operating models, talent strategies, and adoption metrics needed to scale AI confidently across functions while maintaining regulatory compliance, human accountability
• Drive pilot-to-production conversion by embedding AI literacy and governance frameworks directly into the workflows of commercial, medical, and data teams
• Accelerate enterprise-wide AI adoption by establishing unambiguous ownership, operating model accountability, and convert cultural resistance into measurable behavioral change across the organization
• Transform data teams from report-delivery bottlenecks into strategic enablers by automating access to insights and freeing capacity for high-value analysis and innovation.
• Enhance commercial and medical decision-making by unifying customer data, prescribing, and patient outcomes data into a self-service platform with real-time access to consumer insights.
• Accelerate time-to-insight across commercial, clinical, and RWE datasets by consolidating fragmented data sources into a unified lake architecture designed for pharma's regulatory complexity
• Strengthen AI deployment outcomes by building data quality, lineage, and ownership frameworks into the platform architecture before the first model goes live
• Accelerate field force productivity by unifying CRM, prescribing, and patient outcomes data into a single real-time source of HCP intelligence.
• Empower commercial and MSL teams with self-service analytics and comprehensive HCP insights to identify opportunities faster and drive measurable growth.
• Secure a strong formulary position and a wider active prescriber base at launch by deploying field-based teams to map unmet need and disease burden ahead of pricing and formulary decisionsÂ
• Protect launch success from fast-follow competitors by stress-testing indication and sequencing decisions through structured competitive scenario planning before market entryÂ
• Identify eligible patient populations in real time by leveraging AI-driven dynamic segmentation models that are continuously refreshedÂ
• Cut campaign build time from months to weeks through adopting always-on, omnichannel campaign engines integrated directly into core CRM and data infrastructureÂ
• Accelerate activation from payer approval to prescriber engagement by integrating commercial-access field deployment Â
• Maximize launch performance, accelerate adoption and deliver a coordinated customer experience by aligning commercial, market access, and medical teams around shared account prioritiesÂ
• Strengthen therapy adoption and treatment persistence by redesigning quick start and patient onboarding programmes as precision digital journeys eliminating the access barriers that convert prescription intent into abandonmentÂ
• Accelerate formulary conversion and reduce prescription abandonment by deploying seamless, compliance-ready digital access infrastructure that closes the gap between HCP intent and patient initiation in real timeÂ
• Power personalised patient support at enterprise scale by integrating patient data platforms, AI-driven engagement tools, and workflow automation into a unified, architecture that converts fragmented program activity into a fundable, cross-functional engagement capabilityÂ
• Strengthen treatment persistence and reduce adherence risk by deploying predictive analytics and journey orchestration that identify at-risk patients earlier, optimise intervention timing, and generate the outcome-linked evidence that Access, Medical, and Compliance teams can co-own and co-defendÂ
• Deliver personalised patient education and next-best-action engagement at scale by deploying AI-powered persona mapping, journey analysis, and predictive engagement models that connect patient insight to treatment persistence outcomesÂ
• Equip Patient Services, Medical, and Access teams with a shared AI implementation framework that generates audit-ready community insights, structures patient preference data, and closes the gap between AI ambition and compliant, production-ready deploymentÂ
• Strengthen pricing resilience by balancing launch objectives with long-term access, reimbursement, and lifecycle value considerations from early development onwardÂ
• Prepare portfolios for a new pricing environment by applying lessons from early IRA implementation to strengthen strategic decision-making from development through commercializationÂ
• Reduce payer and regulatory friction by using AI-driven intelligence and submission gap-analysis tools to strengthen evidence packages, value narratives, and coverage strategies before launchÂ
• Move from reacting to policy change to shaping commercial response by applying predictive analytics to forecast shifts in payer behavior, reimbursement dynamics, and access barriers, allowing teams to protect uptake and market shareÂ
• Maximize revenue by building portfolio optionality into pricing, contracting, and launch sequencing, using continuous scenario planning to stay ahead of policy shifts and protect revenue across multiple possible policy outcomesÂ
• Accelerate commercialization decisions by establishing clear cross-functional ownership, governance structures, and escalation pathways across Commercial, Market Access and Pricing, enabling faster action on market signals and emerging opportunitiesÂ
• Sustain growth beyond peak sales by identifying where mature brands can unlock new demand, deepen patient penetration, and reinforce their competitive positionÂ
• Turn cross-functional alignment into commercial advantage by uniting commercial, medical, and market access teams behind a shared lifecycle value strategy that expands patient reach and reinforces demand at every stageÂ
• Revitalize a mature product’s trajectory by identifying where market expansion, new indications, or strategic repositioning can unlock new growth opportunities Â
• Transform commercialization and evidence-generation strategies to support long-term value creation in an increasingly complex healthcare environmentÂ
• Evolve the value narrative from launch through maturity, ensuring evidence and access strategies continue to demonstrate relevance and value to patients, providers, and payersÂ
• Achieve a smoother transition into loss of exclusivity by examining how to build the "bridge before the cliff" years before patent expiry, adapting value strategies to protect long-term portfolio performanceÂ
Write for algorithms, not just audiences: restructure your scientific content for LLM discoverabilityÂ
• Protect the accuracy of your science at the point of AI retrieval by structuring manuscripts, abstracts, and posters so LLMs surface the right data at the right clinical momentÂ
• Stay ahead of misinformation risk by aligning publications, medical communications, and digital teams around a single content governance framework built for the AI eraÂ
Put your science in the answer: The content infrastructure that makes LLMs surface your data at the clinical moment
• Transform scientific content into LLM-ready assets at scale by deploying AI-optimized structuring tools that align manuscripts, abstracts, and posters to the retrieval logic of Open Evidence, ChatGPT, and EHR-embedded AI channelsÂ
• Strengthen data accuracy and misinformation protection by integrating publications, medical communications, and digital teams into a single AI-era content governance platform built for real-time clinical decision environmentsÂ
Win the 5-second race for HCP attention: position your brand inside the AI tools HCPs already trustÂ
• Secure visibility at critical clinical decision points by optimizing scientific content for LLM and AI channels that physicians consult during patient careÂ
• Strengthen data dissemination impact by unifying publications, digital, and medical communications under an AI-first discoverability frameworkÂ
• Secure faster formulary access and stronger payer alignment by translating complex clinical and economic evidence into differentiated value messaging tailored to payers, health systems, and key provider stakeholdersÂ
• Build more influential stakeholder engagement strategies by identifying decision-maker priorities and delivering relevant value narratives at the right moments throughout the access journeyÂ
• Reach the right payer, health-system or patient audience with the right message by deploying AI-driven segmentation and data-mapping models purpose-built for non-HCP stakeholdersÂ
• Maintain a consistent core value story across hundreds of accounts by using AI-assisted content customisation tools that adapt a single evidence narrative for different stakeholder segments at speed and scaleÂ
• Map evolving payer and provider influence networks by identifying the stakeholders, decision-making pathways, and integrated health system dynamics shaping access and reimbursement decisionsÂ
• Sharpen negotiation and engagement strategies by tailoring stakeholder outreach, evidence communications, and value demonstrations to the needs of integrated payer-provider organizationsÂ
• Secure faster and more favorable payer and formulary decisions by repositioning evidence generation as a proactive competitive differentiator rather than a regulatory formalityÂ
• Close persistent gaps in clinical guideline and payer policy influence by building integrated evidence ecosystems that combine real-world evidence, patient-reported outcomes and payer-specific data across the full product lifecycleÂ
• Strengthen the competitiveness of regulatory and payer strategies by applying AI-powered intelligence and gap-analysis tools to identify evidence needs, uncover potential weaknesses, and inform evidence generation plans before key decisions are madeÂ
• Accelerate the journey from raw data to actionable evidence by adopting AI-supported synthesis platforms that pull together RWE, patient-reported outcomes and payer data into a single, submission-ready narrativeÂ
• Strengthen reimbursement cases and long-term product positioning by embedding evidence generation earlier in development, using RWE to address comparator gaps, optimize trial design, and answer future payer evidence requirementsÂ
• Build integrated lifecycle evidence strategies that combine clinical, real-world, and patient-generated data, leveraging AI-enabled analytics to generate scalable insights that support regulatory, payer, and healthcare decision-makingÂ
• Strengthen payer access outcomes by embedding patient-reported evidence into HEOR submissions through structured, co-creative engagement with advocacy partnersÂ
• Elevate evidence quality by transitioning from transactional advocacy interactions to sustained scientific collaboration, producing audit-ready PRO data that stands up to HTA scrutinyÂ
• Elevate patient adherence and programme credibility by mapping precision-tailored messaging to each stage of the treatment cycleÂ
• Build the AI-optimised, full scope patient support architecture that connects treatment touchpoints, sustains adherence, and generates the compliance-ready data asset that payer submissions and regulatory submissions increasingly demandÂ
