{"id":1256,"date":"2025-09-29T13:16:00","date_gmt":"2025-09-29T13:16:00","guid":{"rendered":"https:\/\/pharma-talks.com\/?post_type=episode&#038;p=1256"},"modified":"2026-09-04T13:29:46","modified_gmt":"2026-09-04T13:29:46","slug":"ai-in-pharma-marketing-top-cases","status":"publish","type":"episode","link":"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-marketing-top-cases\/","title":{"rendered":"AI Literacy First: Why Tools Without Training Backfire\u00a0"},"content":{"rendered":"\n<div style=\"height:200px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n<style id=\"pharmatalks-content-section-style\">.pt-content-section{background:var(--pt-content-section-bg,transparent);color:var(--pt-content-section-text,var(--color-text));padding:var(--pt-content-section-padding-top,32px) var(--pt-content-section-padding-x,0) var(--pt-content-section-padding-bottom,32px)}.pt-content-section 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class=\"pt-episode-player__duration\">&#8211;:&#8211;<\/span><\/div><\/div><\/div><\/div><div class=\"pt-episode-player__links\"><a class=\"pt-episode-player__link\" href=\"#subscribe\" rel=\"noopener noreferrer\">Subscribe<\/a><\/div><audio class=\"pt-episode-player__audio\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/09\/Pharma-Talks_-AI-in-Pharma-Marketing-Top-Use-Cases-That-Deliver.mp3\"><\/audio><\/div><\/div><\/section>\n<\/div><\/section>\n\n\n\n<section class=\"wp-block-pharmatalks-content-section pt-content-section\" style=\"color:#082480;--pt-content-section-padding-top:32px;--pt-content-section-padding-bottom:32px;--pt-content-section-mobile-padding-x:20px;--pt-content-section-container-max-width:1200px;--pt-content-section-container-padding-top:20px;--pt-content-section-container-padding-bottom:20px;--pt-content-section-container-padding-x:20px\"><div class=\"container\" style=\"border-radius:20px;overflow:hidden;background-color:#ffffff\">\n<p class=\"wp-block-paragraph\">Handing AI tools to people who don&#8217;t know how to use them can lower performance rather than raise it. That finding reframes what an AI budget should actually buy.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In this episode of Pharma Talks, Nataliya Andreychuk spoke with Thomas Mrosk, Founder and Managing Director at ctcHealth, and Manuel Mitola, Partner and Head of AI Consulting at ctcHealth, about AI literacy and what it takes to get value beyond the obvious tools.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Two Ways Companies Use AI<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Thomas splits it simply: to boost productivity, or to enhance intelligence.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">His preference is starting small. Organizations are increasingly investing in the infrastructure to access large language models, often through platforms like Microsoft, which opens the door to agents that absorb routine tasks and reduce manual load. That&#8217;s where he sees the strongest near-term potential.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Manuel&#8217;s framing is the agentic approach \u2014 AI deployed for clearly defined purposes. &#8220;This essentially means creating small, specialized AI teams to handle specific tasks. In an industry like pharma \u2014 where precision and specialization matter \u2014 this approach is especially powerful.&#8221; His read on adoption is that tools like Copilot and custom GPTs are getting noticeably better reception than they were a few months earlier.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">On the intelligence side, both point to the same strengths: analyzing large volumes of data, surfacing perspectives that weren&#8217;t visible, and taking on work people find tedious.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Where They Push Back<\/strong>&nbsp;<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Asked whether agentic AI might end up handling most of the work \u2014 social listening, cross-channel interaction analysis \u2014 Thomas was cautious. He doesn&#8217;t subscribe to the version where AI handles nearly everything, and his reason is domain expertise.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Rather than replacing humans, AI currently serves to augment their work. We&#8217;re guiding AI agents, not just handing over control. This has significant implications for workforce planning and the kinds of capabilities organizations need to build.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What Makes an Agent Useful<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Manuel&#8217;s observation is that LLM output is sounding more natural, and that the value shows up in productivity and customer experience. What he finds most promising is access: &#8220;the possibility for people without technical or development backgrounds to use their domain and industry knowledge to build solutions powered by AI.&#8221; No-code platforms for building agents put capability where the subject knowledge already is.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Thomas takes it toward the human side of adoption:&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Humanization becomes even more visible as we start interacting more regularly with AI agents. The way we handle training and change management is about to shift dramatically. These agents aren&#8217;t just useful because they&#8217;re smart. They create a safe, always available, and increasingly personalized environment for users. This opens up unprecedented support for the workforce.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">His marketing ambition is hyper-personalization \u2014 right customer, right content, real time \u2014 which he expects to become standard within about two years.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">He&#8217;s also clear about what that creates. Content production scaling by 10x or 100x makes MLR the binding constraint, which means the same tooling has to work on the compliance side. &#8220;In this context, AI won&#8217;t just accelerate marketing \u2014 it will help manage compliance too.&#8221;&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya&#8217;s qualifier: with technology moving week to week, strategic clarity is what prevents the overwhelm. A company that picks one target \u2014 accelerating clinical trial documentation, say \u2014 can see results in months rather than years. And content creation is no longer separable from MLR, since tools already handle claims, references, and compliance checks inside one workflow.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>If the Budget Doubled<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya&#8217;s question: if your marketing budget doubled tomorrow but could only be spent on AI, where would it go?&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Manuel&#8217;s answer went to literacy first, and his reasoning is the sharpest thing in the conversation.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">There&#8217;s research suggesting that if people use AI without knowing how to use it properly, their performance can actually decline. One of the biggest mistakes organizations can make is giving AI tools to employees who aren&#8217;t prepared to use them. Instead of boosting efficiency, this can have the opposite effect.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">So the money goes to training and education, because the return comes from the combination of people and tools rather than from either alone.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Thomas would go further on the amount \u2014 triple or quadruple rather than double \u2014 while landing in the same place on sequencing. Millions spent without alignment and training won&#8217;t produce results.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">He adds change management as the piece that gets underestimated. There&#8217;s a generational dimension: some employees are more comfortable with new tools than others, and the ones who need more time need support rather than pressure.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Closing Thought<\/strong>&nbsp;<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The pattern across both answers is that AI investment is really two investments, and the order matters. Capability without literacy produces worse outcomes than no capability at all \u2014 which is a counterintuitive enough finding that it should change how these programs get funded.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nataliya&#8217;s closing framing: &#8220;High-performing businesses are focused on one thing: improving outcomes and giving humanity a better chance to thrive.&#8221;&nbsp;<\/p>\n<\/div><\/section>\n\n\n<section class=\"pt-related-episodes\" style=\"--pt-related-bg:#264cb8;color:#082480;--pt-related-title-color:#eff2ef;--pt-related-padding-top:50px;--pt-related-padding-bottom:60px;--pt-related-padding-x:0px\">\n            <div class=\"container\">\n                        <div class=\"pt-related-episodes__header\">\n                <h2 class=\"pt-related-episodes__title\">Our Latest Pharma Talk Episodes<\/h2>\n            <\/div>\n                <div class=\"pt-related-episodes__grid\">\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-agentic-ai-in-pharma\/\">\n                                                    <img width=\"371\" height=\"209\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-agentic-takes-action-1240x675-rounded-2-371x209.png\" class=\"attachment-pharmatalks-related-card size-pharmatalks-related-card\" alt=\"\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, (max-width: 640px) 100vw, (max-width: 1024px) 50vw, 371px\" srcset=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-agentic-takes-action-1240x675-rounded-2-371x209.png 371w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-agentic-takes-action-1240x675-rounded-2-1200x675.png 1200w\" \/>                                            <\/a>\n                    <div class=\"pt-episode-card__body\">\n                        <p class=\"pt-episode-card__meta\">August 25, 2026<span class=\"pt-episode-card__duration\">9 min read<\/span><\/p>\n                        <h4 class=\"pt-episode-card__title\">\n                            <a href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-agentic-ai-in-pharma\/\">Agentic AI Doesn&#8217;t Answer Questions \u2014 It Takes Action\u00a0<\/a>\n                        <\/h4>\n                        <div class=\"pt-episode-card__detail\"><p class=\"pt-episode-card__guest-label\">Guest<\/p><p class=\"pt-episode-card__guest-name\">Michal Dojlidko<\/p><div class=\"pt-episode-card__guest-meta\"><p class=\"pt-episode-card__guest-meta-position\">Product and Engineering Director<\/p><p class=\"pt-episode-card__guest-meta-company\">GSK<\/p><\/div><div class=\"pt-episode-card__actions\"><a class=\"pt-episode-card__listen\" href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-agentic-ai-in-pharma\/\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" 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11.3258 16.3021 10.8499 15.8747 10.6029L15.3744 11.4687L14.874 12.3345C14.9677 12.3886 14.9787 12.4133 14.9586 12.3878C14.9315 12.3532 14.8696 12.2512 14.8694 12.0965C14.8692 11.9454 14.928 11.8534 14.9423 11.8342C14.952 11.821 14.9295 11.8552 14.8288 11.9208L15.3744 12.7588ZM15.3744 11.4687L15.9673 10.6634L10.7966 6.85597L10.2037 7.66122L9.61072 8.46646L14.7814 12.2739L15.3744 11.4687ZM10.2037 7.66122L10.7388 6.81644C10.286 6.52965 9.64347 6.36117 9.03218 6.6466C8.36565 6.95781 8.10714 7.62689 8.11987 8.25032L9.11966 8.22991L10.1194 8.2095C10.1185 8.16275 10.1285 8.19137 10.0938 8.25775C10.0552 8.33159 9.98183 8.41046 9.87832 8.45879C9.67864 8.55202 9.5853 8.45326 9.66854 8.50599L10.2037 7.66122ZM9.11966 8.22991L8.11966 8.23281L8.14134 15.7119L9.14134 15.709L10.1413 15.7061L10.1197 8.22701L9.11966 8.22991ZM9.14134 15.709L8.14311 15.7684C8.17339 16.2771 8.35111 16.9731 9.00854 17.3242C9.65564 17.6698 10.3249 17.4421 10.7493 17.2072L10.2651 16.3323L9.78087 15.4573C9.69245 15.5063 9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-medical-affairs-leadership\/\">\n                                                    <img width=\"371\" height=\"209\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1-371x209.png\" class=\"attachment-pharmatalks-related-card size-pharmatalks-related-card\" alt=\"\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, (max-width: 640px) 100vw, (max-width: 1024px) 50vw, 371px\" srcset=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1-371x209.png 371w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1-300x169.png 300w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1-1024x576.png 1024w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1-768x432.png 768w, https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/08\/pharma-talks-real-reason-1200x675-1.png 1200w\" \/>                                            <\/a>\n                    <div class=\"pt-episode-card__body\">\n                        <p class=\"pt-episode-card__meta\">August 20, 2026<span class=\"pt-episode-card__duration\">6 min read<\/span><\/p>\n                        <h4 class=\"pt-episode-card__title\">\n                            <a href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-medical-affairs-leadership\/\">The Real Reason Medical and Commercial Teams Stay Stuck in Silos\u00a0<\/a>\n                        <\/h4>\n                        <div class=\"pt-episode-card__detail\"><p class=\"pt-episode-card__guest-label\">Guest<\/p><p class=\"pt-episode-card__guest-name\">Laragh De Bhulbh<\/p><div class=\"pt-episode-card__guest-meta\"><p class=\"pt-episode-card__guest-meta-position\">Pharma Brand Strategist<\/p><p class=\"pt-episode-card__guest-meta-company\">WOLF MEDICAL<\/p><\/div><div class=\"pt-episode-card__actions\"><a class=\"pt-episode-card__listen\" href=\"https:\/\/pharma-talks.com\/episodes\/podcasts-medical-affairs-leadership\/\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"pt-episode-card__play-icon\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.3744 12.7588L14.8288 11.9208L14.8148 11.9298L14.8012 11.9394L15.3744 12.7588ZM15.3744 11.4687L14.7814 12.2739L14.826 12.3068L14.874 12.3345L15.3744 11.4687ZM10.2037 7.66122L10.7966 6.85597L10.7684 6.8352L10.7388 6.81644L10.2037 7.66122ZM9.11966 8.22991L10.1197 8.22701L10.1196 8.21826L10.1194 8.2095L9.11966 8.22991ZM9.14134 15.709L8.14134 15.7119L8.14142 15.7402L8.14311 15.7684L9.14134 15.709ZM10.2651 16.3323L10.7493 17.2072L10.7952 17.1818L10.8382 17.1517L10.2651 16.3323ZM12 21V20C7.58172 20 4 16.4183 4 12H3H2C2 17.5228 6.47715 22 12 22V21ZM21 12H20C20 16.4183 16.4183 20 12 20V21V22C17.5228 22 22 17.5228 22 12H21ZM12 3V4C16.4183 4 20 7.58172 20 12H21H22C22 6.47715 17.5228 2 12 2V3ZM12 3V2C6.47715 2 2 6.47715 2 12H3H4C4 7.58172 7.58172 4 12 4V3ZM15.3744 12.7588L15.9199 13.5969C16.3323 13.3285 16.8704 12.8393 16.8694 12.0938C16.8683 11.3258 16.3021 10.8499 15.8747 10.6029L15.3744 11.4687L14.874 12.3345C14.9677 12.3886 14.9787 12.4133 14.9586 12.3878C14.9315 12.3532 14.8696 12.2512 14.8694 12.0965C14.8692 11.9454 14.928 11.8534 14.9423 11.8342C14.952 11.821 14.9295 11.8552 14.8288 11.9208L15.3744 12.7588ZM15.3744 11.4687L15.9673 10.6634L10.7966 6.85597L10.2037 7.66122L9.61072 8.46646L14.7814 12.2739L15.3744 11.4687ZM10.2037 7.66122L10.7388 6.81644C10.286 6.52965 9.64347 6.36117 9.03218 6.6466C8.36565 6.95781 8.10714 7.62689 8.11987 8.25032L9.11966 8.22991L10.1194 8.2095C10.1185 8.16275 10.1285 8.19137 10.0938 8.25775C10.0552 8.33159 9.98183 8.41046 9.87832 8.45879C9.67864 8.55202 9.5853 8.45326 9.66854 8.50599L10.2037 7.66122ZM9.11966 8.22991L8.11966 8.23281L8.14134 15.7119L9.14134 15.709L10.1413 15.7061L10.1197 8.22701L9.11966 8.22991ZM9.14134 15.709L8.14311 15.7684C8.17339 16.2771 8.35111 16.9731 9.00854 17.3242C9.65564 17.6698 10.3249 17.4421 10.7493 17.2072L10.2651 16.3323L9.78087 15.4573C9.69245 15.5063 9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                                        <article class=\"pt-episode-card\">\n                    <a class=\"pt-episode-card__image\" href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\">\n                                                    <img width=\"371\" height=\"209\" src=\"https:\/\/pharma-talks.com\/wp-content\/uploads\/2026\/05\/Pharma-Talks-AI-and-Asia-What-Pharma-Marketers-Need-to-Hear-Right-Now-2-371x209.png\" class=\"attachment-pharmatalks-related-card size-pharmatalks-related-card\" alt=\"\" loading=\"lazy\" decoding=\"async\" sizes=\"auto, (max-width: 640px) 100vw, (max-width: 1024px) 50vw, 371px\" 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class=\"pt-episode-card__body\">\n                        <p class=\"pt-episode-card__meta\">May 29, 2026<span class=\"pt-episode-card__duration\">12 min read<\/span><\/p>\n                        <h4 class=\"pt-episode-card__title\">\n                            <a href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\">Why Western Campaign Logic Breaks in Asian Markets\u00a0<\/a>\n                        <\/h4>\n                        <div class=\"pt-episode-card__detail\"><p class=\"pt-episode-card__guest-label\">Guest<\/p><p class=\"pt-episode-card__guest-name\">Gwenael Meneux, Bruno Senouci<\/p><div class=\"pt-episode-card__guest-meta\"><p class=\"pt-episode-card__guest-meta-position\">CO-CEO, CO-CEO<\/p><p class=\"pt-episode-card__guest-meta-company\">drcom<\/p><\/div><div class=\"pt-episode-card__actions\"><a class=\"pt-episode-card__listen\" href=\"https:\/\/pharma-talks.com\/episodes\/ai-in-pharma-communication\/\"><svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"pt-episode-card__play-icon\" width=\"24\" height=\"24\" viewBox=\"0 0 24 24\" fill=\"none\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M15.3744 12.7588L14.8288 11.9208L14.8148 11.9298L14.8012 11.9394L15.3744 12.7588ZM15.3744 11.4687L14.7814 12.2739L14.826 12.3068L14.874 12.3345L15.3744 11.4687ZM10.2037 7.66122L10.7966 6.85597L10.7684 6.8352L10.7388 6.81644L10.2037 7.66122ZM9.11966 8.22991L10.1197 8.22701L10.1196 8.21826L10.1194 8.2095L9.11966 8.22991ZM9.14134 15.709L8.14134 15.7119L8.14142 15.7402L8.14311 15.7684L9.14134 15.709ZM10.2651 16.3323L10.7493 17.2072L10.7952 17.1818L10.8382 17.1517L10.2651 16.3323ZM12 21V20C7.58172 20 4 16.4183 4 12H3H2C2 17.5228 6.47715 22 12 22V21ZM21 12H20C20 16.4183 16.4183 20 12 20V21V22C17.5228 22 22 17.5228 22 12H21ZM12 3V4C16.4183 4 20 7.58172 20 12H21H22C22 6.47715 17.5228 2 12 2V3ZM12 3V2C6.47715 2 2 6.47715 2 12H3H4C4 7.58172 7.58172 4 12 4V3ZM15.3744 12.7588L15.9199 13.5969C16.3323 13.3285 16.8704 12.8393 16.8694 12.0938C16.8683 11.3258 16.3021 10.8499 15.8747 10.6029L15.3744 11.4687L14.874 12.3345C14.9677 12.3886 14.9787 12.4133 14.9586 12.3878C14.9315 12.3532 14.8696 12.2512 14.8694 12.0965C14.8692 11.9454 14.928 11.8534 14.9423 11.8342C14.952 11.821 14.9295 11.8552 14.8288 11.9208L15.3744 12.7588ZM15.3744 11.4687L15.9673 10.6634L10.7966 6.85597L10.2037 7.66122L9.61072 8.46646L14.7814 12.2739L15.3744 11.4687ZM10.2037 7.66122L10.7388 6.81644C10.286 6.52965 9.64347 6.36117 9.03218 6.6466C8.36565 6.95781 8.10714 7.62689 8.11987 8.25032L9.11966 8.22991L10.1194 8.2095C10.1185 8.16275 10.1285 8.19137 10.0938 8.25775C10.0552 8.33159 9.98183 8.41046 9.87832 8.45879C9.67864 8.55202 9.5853 8.45326 9.66854 8.50599L10.2037 7.66122ZM9.11966 8.22991L8.11966 8.23281L8.14134 15.7119L9.14134 15.709L10.1413 15.7061L10.1197 8.22701L9.11966 8.22991ZM9.14134 15.709L8.14311 15.7684C8.17339 16.2771 8.35111 16.9731 9.00854 17.3242C9.65564 17.6698 10.3249 17.4421 10.7493 17.2072L10.2651 16.3323L9.78087 15.4573C9.69245 15.5063 9.66333 15.5057 9.68777 15.5024C9.72022 15.4979 9.82562 15.4933 9.95074 15.5601C10.0775 15.6278 10.1348 15.7209 10.1513 15.7559C10.1634 15.7818 10.146 15.758 10.1396 15.6496L9.14134 15.709ZM10.2651 16.3323L10.8382 17.1517L15.9475 13.5783L15.3744 12.7588L14.8012 11.9394L9.69195 15.5128L10.2651 16.3323Z\" fill=\"#EFF2EF\"\/><\/svg><span class=\"pt-episode-card__listen-text\">Listen Now!<\/span><\/a><\/div><\/div>                    <\/div>\n                <\/article>\n                    <\/div>\n            <\/div>\n    <\/section>\n\n\n<style id=\"pharmatalks-content-split-style\">.pt-split__container.container{max-width:var(--pt-split-container-width,var(--container-width))}@media (width >= 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She is also a LinkedIn voice in the industry, a member of the Forbes Agency Council, and a frequent speaker at industry events. 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