Sundeep Gaba

Healthcare—a sector where innovation rapidly translates to real-world impact—is undergoing one of the most profound AI-driven transformations. The breakthroughs we help deliver are reshaping patient care, experiences, and outcomes, and underscore the deep purpose and sense of responsibility we bring to our work. I recently read through a report from the World Economic Forum and Boston Consulting Group (BCG) – “Earning Trust for AI in Health: A Collaborative Path Forward” – which outlines a cross-industry framework to build trust with AI and underlines a stark reality for us: without transparency and responsibility, we cannot capitalize on the promise of AI to improve healthcare. There are exciting breakthroughs in the industry happening every day. With the potential to improve and streamline patient care, implementing AI tools requires that the data and information that these tools provide is credible and reliable. At Pfizer we put responsible AI into action with our Responsible AI program, including a proprietary internal toolkit that allows colleagues to easily and consistently implement best practices for responsible AI in their work. Responsibility also played a crucial role in our recently launched Generative AI tool, #HealthAnswersbyPfizer, which utilizes trusted, independent third-party sources so that consumers can access relevant health and wellness information that is up to date. As we apply AI in the real world, these conversations around trust and ethics are paramount. It is our responsibility to not only lead the advancements that will improve the industry, but to also lead the movement in responsible, ethical AI that advances and protects us, not hinders or harms us. This will encourage the adoption of tools that can lead to healthier lives, lower costs, and a brighter future. To read more about the WEF/BCG report: https://bit.ly/406b0AS

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The Real Challenge of AI Isn’t Piloting — It’s Scaling 🚦🤖 Deploying AI in healthcare isn’t just difficult—it’s practically an extreme sport! 🏋️♂️💼 While nearly two-thirds of healthcare organizations are exploring AI, a staggering 77% cite immature AI tools as a barrier, 47% are hampered by financial concerns 💰, and 40% worry about regulatory uncertainty⚖️. Data quality and integration issues alone block 47% of healthcare leaders from scaling AI beyond fragmented pilots 🧩. For pharma and medical device companies, over 50% face challenges with system integration and data privacy🔒, and 59% admit to fragmented, function-specific AI rollouts that rarely deliver enterprise-wide value. The story is similar in pharma: broken data ecosystems, legacy systems, and a persistent talent gap leave many organizations stuck in “pilot purgatory,” struggling to industrialize AI and deliver measurable ROI 😬. Excited that my sister from another mother Dr. Ami Bhatt, MD, Chief Innovation Officer at the American College of Cardiology and Chair of the FDA Digital Health Advisory Committee, is here to prescribe solutions 🩺. Join her at 9:15 AM on July 30th at the Institute for AI Transformation Leaders in AI Summit Boston 2025 for our opening panel “Built to Scale: Powering AI for Operational Success.” 🚀 Link is here - https://lnkd.in/eRAe6j4b And here’s your doctor joke for a healthy laugh: Why did the doctor get mad? Because he ran out of patients! 😂😄 References: 1. Healthcare IT News: "Healthcare AI adoption up, but data and integration challenges persist" (2025-07-09) [https://lnkd.in/earxvkCC] 8. JAMIA: "Adoption of artificial intelligence in healthcare: survey of health care administrators" (2025-06-20) [https://lnkd.in/ebXkjwNX] 9. Whatfix: "How AI Is Reshaping Pharma: Use Cases, Challenges" (2025-05-20) [https://lnkd.in/e-64h_Qm] 12. McKinsey: "Scaling gen AI in the medtech industry" (2025-05-29) [https://lnkd.in/e3mXmnqf] 15. SCW.AI: "AI in Pharma: Use Cases, Success Stories, and Challenges in 2025" (2025-06-02) [https://lnkd.in/er6qMhuX] 16. Ducksters: "Jokes for kids: big list of clean doctor jokes" (2025-01-01) [https://lnkd.in/e9zK8rjJ]

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Sanofi doubles down on AI in manufacturing, aiming to deliver more medicines, faster >> 💊Sanofi is aiming to become the first biopharma company powered by AI at scale, with 30+ product launches expected in the next five years driving the need for faster, more agile manufacturing 💊 SimplY, Sanofi’s proprietary AI system, analyzes thousands of live data points from bioreactors and has boosted yields by 5–10%, translating directly into extra doses reaching patients 💊 Smart factories use AI to predict and prevent downtime, fine-tune processes in real time, and run virtual experiments before making physical changes 💊 Digital twins simulate entire production lines before they’re built, typically saving 2–3 months when bringing new capacity online 💊 Sensor technology inspired by McLaren Racing has increased equipment effectiveness by up to 25% on some lines 💊 Partnerships with McLaren and tech firms have helped cut changeover times, not tires but production lines by up to 40% 💊 Sanofi applies AI in three practical ways: supporting scientists in the lab, giving teams bite-sized insights to guide decisions, and automating routine tasks so people can focus on higher-value work 💬 I suspect most people see AI in pharma manufacturing as unglamorous, but it may actually be one of the highest-potential areas in the entire value chain 👇Link to article in comments #DigitalHealth #Pharma 

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Health data isn't just information — it's someone's personal story. Every day, patients share sensitive health details with providers, from test results to genetic profiles, trusting that this data will improve their care. At Roche, we play an important part in this journey, and that’s why we never forget the value and responsibility of handling people’s health data. Roche develops technologies and solutions that securely evaluate a patient's health status — delivering the precise insights that doctors and labs need to make informed decisions. This is why we follow the highest standards of data privacy, security, and ethics. Because when data is managed responsibly, it enables faster, more precise diagnoses and truly personalized care. Secure, ethical, and responsible data management is the foundation that allows digital health innovation to make a real difference in people’s lives. How can we make sure patients feel supported and confident throughout their diagnostic journey? #DigitalHealth #healthtech #healthcare #healthcaretransformation #healthcareinnovation #RocheDiagnostics

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