Madhu Murthy Kunisetty, Veeva Assoc. Admin Certified

The Future of Indian Pharma: Unleashing the Power of Data Lakes, AI, and Analytics The Indian pharmaceutical industry is embracing the next wave of digital transformation through Data Lakes, Generative AI (GenAI), and Advanced Analytics. These technologies are revolutionizing everything from drug discovery to patient care, making data the most critical asset for decision-making and innovation. Data Lakes provide a unified repository for consolidating massive volumes of structured and unstructured data from R&D, clinical trials, and market research. By creating a single source of truth, they break down data silos and enable real-time insights, enhancing compliance and operational efficiency. Generative AI is the catalyst driving rapid drug discovery and personalized medicine. AI models are now capable of predicting compound interactions, developing targeted therapies, and even automating complex regulatory submissions, making innovation faster and more effective. Advanced Analytics powered by AI and Machine Learning is transforming how companies forecast trends, optimize supply chains, and ensure drug safety. The result is a more agile and data-driven industry that can proactively respond to changing healthcare needs. The future lies in a hybrid multi-cloud strategy, integrating on-premises and cloud systems to enable flexibility, data security, and cost efficiency. This approach will empower Indian pharma companies to harness the full potential of their data assets, drive innovation, and deliver better patient outcomes. The digital shift is here. Are you ready to embrace it? 💡 #Pharma #Healthcare #AI #DataLakes #GenAI #Analytics #DigitalTransformation #PharmaceuticalIndustry

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I have successfully completed the Generative AI for Business with MSFT Azure Open AI

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𝑪𝒍𝒊𝒏𝒊𝒄𝒂𝒍 𝑫𝒂𝒕𝒂 𝑻𝒂𝒌𝒆𝒔 𝒂 𝑳𝒆𝒂𝒑 𝑭𝒐𝒓𝒘𝒂𝒓𝒅 𝒊𝒏 𝑯𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆 𝒘𝒊𝒕𝒉 𝑪𝒉𝒂𝒕𝑮𝑷𝑻 🩺🚩 Exciting news from the forefront of healthcare innovation! ↳ A recent study dives into the transformative power of ChatGPT, a Large Language Model (LLM), in extracting vital data from clinical notes. 💡🏥 Imagine a world where AI not only understands complex medical language but also turns it into structured, actionable data. ↳ That’s exactly what this study explores with ChatGPT’s remarkable 89% accuracy in lung cancer pathology reports and a stellar performance in pediatric osteosarcoma cases. ◾◾◾ Key Highlights: 🩺📈 ChatGPT marks a new era in clinical data processing: ↳ Structured data extraction by ChatGPT can significantly support clinical decision-making and research, paving the way for clearer insights and better patient outcomes. 🛠️ 🤖Innovation at Work: ↳ The “prompt engineering” strategy is key to guiding ChatGPT, ensuring precise and reliable data output, showcasing the potential of AI-assisted processes in clinical settings. ⚠️🧐 Mindful of Limitations:  ↳ While we celebrate these advancements, we should also be mindful of the risks. “Hallucinations” or AI inaccuracies are a reminder of the need for continuous model training and prompt design improvements. 🔍🌐 Looking Ahead:  ↳ The future is bright, with plans to refine LLMs with domain-specific knowledge and develop real-time error detection for enhanced reliability in clinical applications. 📢💬 Join the journey of innovation! Share your thoughts, and let’s discuss how AI can reshape healthcare. 👉 Click the link in the Comments to access the full study and be part of the conversation! 🔗👥 #HealthcareInnovation #ClinicalAI #DataRevolution #ChatGPT #DigitalMedicine #AIinHealthcare #FutureofHealthcare Image powered by DALL-E 3

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"Thank you Entraine for organizing this insightful session! I was excited to share my thoughts on leveraging advanced technologies to drive efficiency and growth at Sai Life Sciences Ltd. #Innovation #TechTransformation"

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Downtime is not just a mandate for systems and applications, even for humans too.. Every fortnight, we used to see some or other way notifications popping up on downtime, most times it will be a scheduled one. But how much downtime we as humans are taking in general ? Festival holidays aren’t downtime really as it involves lot of planning and associated activities. So what really can be downtime ? It could be as simple as reading a favourite book, going for a short road trip, a vacation or even spending a day without using any digital gadgets (digital detox). Whatever form it is, this downtime is much needed for all, even for homemakers and students. The benefits it gives are immense, from stress-relief, mental clarity to increased efficiency and productivity. So, whats your downtime method ? I love to travel and explore new places on my own, and here is a picture from my recent exploration of Kolukku Malai range near Tamilnadu-Kerala border. #downtime #mentalwellbeing #productivity #efficiency #worklifebalance

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This whitepaper uncovers critical aspects to driving intelligent automation – from finding your why to establishing a center of excellence (COE) – while presenting compelling data to help you transition from emerging or transforming to maturing. https://bit.ly/3WeBZaN #pharmacovigilance #safetyPV

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Sponsors and CROs, how are you preparing for the FDA sIRB mandate? Don't miss our newly updated single IRB eBook, full of helpful insights and guidance for preparing your operations and your sites. Download now: 

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AI search is the future of finding information...but it may actually make us less informed. AI search is the future of finding information...but it may actually make us less informed. While AI-powered search promises convenience, it could limit our exposure to diverse viewpoints and critical thinking skills. The search landscape is evolving rapidly with AI-powered solutions like SearchGPT and Perplexity gaining ground. While Google still dominates with over 90% market share, these new entrants have the potential to disrupt how we find information online. As someone fascinated by emerging tech, I'm intrigued by how AI search could transform user behavior. Imagine getting concise, conversational responses instead of pages of links. Or using voice-activated AI for more natural interactions. Of course, accuracy and misinformation remain key challenges. And Google isn't standing still - they're actively integrating AI into search too. What's your take? Will AI search engines gain meaningful traction? Or is Google's ecosystem too entrenched to disrupt? I'm curious to hear your thoughts on how this might play out over the next few years. Check this article: https://lnkd.in/djF_BWvR ====================== Hit 'Connect' now - I may have opportunities for business and jobs in the future If you're interested in content like this, hit 'Observe' button now.

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Interesting how we can apply these thoughts within our enterprises. My favorite part: "The top of the funnel is focused on user acquisition, and the thinking around PLG (Product Led Growth) is centered on delivering value before you can monetize. This is a subtle principle, but it’s important."

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👀 There is no more fascinating time than the one we live in now with AI, and the most incredible part is how fast it is innovating. ⏩ Buffet of AI options: While many people and enterprises are still in fear or debating to jump in the AI franzi, others are trying to keep up with the tremendous pace of innovation and AI solutions. From figuring out what LLM to adopt or use, to selecting the faster or the bigger or the most specific. EVERYTHING is available (or at least looks like for those who are not very closely following the AI news) ✅ When some enterprises are moving to use RAG, well this news tell us that is old news. The RAG 2.0 is already at our fingertips and is promise to make the original obsolete. 👇 I would love to see your thoughts in the comment section. Will it be hype or the real deal? How fast will we be presented with RAG 3.0? #genai #ai #artifitialintelligence #LLMs #RAG #aitrends #Chatbot #generativeai #innovation #technews #technology #NLP #automation #machinelearning #ML https://lnkd.in/e2bTWV-n

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I thought AI would make work easier, but it's actually making 77% of employees less productive The recent Upwork Research Institute survey reveals a stark disconnect between executive expectations and employee realities when it comes to AI adoption in the workplace. While 96% of C-suite leaders believe AI tools improve productivity, 77% of workers report these tools actually decrease their efficiency and increase workload. This gap highlights a critical need for better AI implementation strategies. Simply introducing new tech without proper training or process redesign is a recipe for burnout and frustration. To truly leverage AI's potential, we need to fundamentally rethink how we organize work and develop talent. This means investing in comprehensive AI training programs (only 26% of companies currently do), creating clear AI strategies (just 13% have one), and carefully evaluating where AI can add genuine value rather than just additional complexity. For businesses looking to stay competitive, the message is clear: AI adoption requires thoughtful change management, not just new software licenses. The companies that thrive will be those that empower their workforce to work alongside AI, not struggle against it. #AIAdoption #WorkplaceProductivity #ChangeManagement #EmployeeTraining #AIStrategy #FutureOfWork #TalentDevelopment ====================== Hit 'Connect' now - I may have opportunities for business and jobs in the future If you're interested in content like this, hit 'Observe' button now.

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Having witnessed the unprecedented strain COVID-19 placed on healthcare workers, this article on AI adoption in healthcare resonates deeply: https://lnkd.in/gRqNACU3 The pandemic didn't just create a healthcare crisis – it amplified an existing burnout epidemic among our clinicians. I saw firsthand how endless documentation, longer hours, and the emotional toll of COVID pushed many to their limits. AI tools, particularly ambient clinical documentation and automation, could help address the administrative burden that COVID exacerbated. When doctors spend less time on paperwork and more time connecting with patients (or making it home for dinner with their families), we're not just improving efficiency – we're preserving the human element of healthcare that draws many to the profession in the first place. The real question isn't whether we should adopt AI, but how we can implement it thoughtfully to support our still-recovering healthcare workforce. The pandemic taught us that clinician wellbeing isn't optional – it's essential for sustainable healthcare delivery. What changes have you seen in clinician burnout since COVID? How is your organization supporting healthcare worker wellbeing? #HealthcareWorkers #ClinicalBurnout #COVID19Impact #HealthTech #AIinHealthcare #PhysicianWellbeing

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