Triton BIT Solutions’ Post

💡A major message refresh can be very time-consuming! From the first messaging workshop to having an LMR-approved vis-aid, it can take 6-12 months to implement a message refresh. If there is no new clinical data, the upside opportunity of the message refresh can seem not worthy of the time commitment. Messaging AI offers a faster, cheaper, and better approach to message refresh, staying competitive and gaining a competitive advantage. Learn from a real-world case study of how a $1 billion brand implemented a message refresh in just 12 weeks by leveraging AI. #Pharmaceutical #pharma #messagerefresh #AI

At Metrix, we're committed to leveraging the power of AI to drive innovation and efficiency in the pharmaceutical industry. We're thrilled to share that we've been recognized in Papercurve' s latest article, "𝐁𝐞𝐬𝐭 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞𝐬 𝐟𝐨𝐫 𝐘𝐨𝐮𝐫 𝐍𝐞𝐱𝐭 𝐀𝐈 𝐏𝐫𝐨𝐣𝐞𝐜𝐭", highlighting our approach to AI implementation. In the article, Papercurve outlines essential steps to successfully integrate AI into your business including: 🔹Defining SMART Objectives 🔹Starting with a Pilot Project 🔹Ensuring Quality Data 🔹Gaining Stakeholder Support One of the standout points is the emphasis on training and onboarding. As noted in the article, "Poor training and onboarding of stakeholders and end-users is one of the leading causes of sub-optimal implementation of AI." We couldn't agree more! Find the full article in the first comment of this post. #AI #Innovation #Pharmaceuticals #Metrix #Papercurve #LearningAndDevelolpment #HealthcareMarketing

🔹 Check our overview of the industrial environment with regard to the use of #AI in drug development, clinical research, and other areas of pharmaceutical R&D. In addition to benchmarking the performance of the major actors which define the space and relationships within the sector, this overview highlights trends and insights in the form of educational mind maps and infographics. 🔹 This overview analysis is designed to assist the reader understand what is going on in the market right now and perhaps provide a #glimpse of what is to come. 🔹 The report offers technical #insights into some of the most recent developments in AI application and research in addition to investment and business trends. #AI #drugdevelopment #research #onlinecourses #SymmetricTraining

SPOTLIGHTS (Part 1) Let's talk about hard data about AI. We all know the benefits of using. We all agree the power it comes with it and benefits it brings, but do we know the results? The Life Sciences industry is ready for results. Check this out! SPOTLIGHT (Part 2) coming next!! TransPerfect Life Sciences TransPerfect GlobalLink #AI #generativeAI #future #Transperfect #lifesciences #pharmaceuticals #pharma

According to Precedence Research, the global pharmaceutical AI market will reach over USD 11,813.56 million by 2032 📈 This surge underscores the transformative potential of AI models in reshaping business models, streamlining processes, and enhancing areas like drug research and clinical trial management. Yet, to harness the true power of AI, one crucial foundation is necessary: proper data preparation. 📩 Join us as Matvii Kovtun, our Senior Data Scientist, explains the stages of preparing pharmaceutical datasets for AI consumption to ensure reliable results. Read our latest article to learn practical insights: https://lnkd.in/dPuD9QZD #Avenga #AvengaInsights #AIinPharma #DataPreparation #PharmaceuticalInnovation

💡  𝐇𝐨𝐰 𝐢𝐬 𝐀𝐈 𝐬𝐡𝐚𝐩𝐢𝐧𝐠 𝐭𝐡𝐞 𝐡𝐮𝐦𝐚𝐧 𝐟𝐚𝐜𝐭𝐨𝐫 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐚𝐫𝐦𝐚 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲?   AI is playing an important role in the analysis of patterns and trends within ‘big health data’. From faster drug discovery processes to its use in molecular predictions. But don't forget the human factor, which is going to be more crucial the upcoming years. Read 👉 how AI is shaping the industry in our latest blog 📖 https://bit.ly/3TPgI82.   #brunelbulletin #lifesciences #pharma #pharmaceuticals #AI #artificialintelligence 

#AI is revolutionizing the pharmaceutical industry, making drug discovery and development more efficient, effective, and personalized. By incorporating diverse perspectives and experiences into AI development, organizations are creating tools that are more accurate, effective, and equitable for patients from all walks of life. During the AI safety summit, I heard a lot of people saying that diversifying your talent in AI is critical to helping AI be as unbiased as possible. Will diverse talent be a priority for you in 2024? #diversity #pharmaceuticals #data

Just back from Reuters Pharma24 in Barcelona (#REPharma24) and reflecting on key insights on generative AI in pharma. Highlighted in my blog below 👇 The conversation is clear: to leverage AI effectively, it’s about more than technology. Prioritise people, capabilities and processes for successful adoption: ⭐️ AI should integrate seamlessly into daily workflows, not just be a standalone tool ⭐️ Organisational alignment is crucial for AI adoption, breaking down siloes and addressing language and process differences between functions ⭐️ Leaders are urged to invest in building capabilities and fostering behaviours that accelerate AI adoption ⭐️ Focus on automating processes that will drive the highest value to patients, HCPs, and the business The opportunity is a truly transformative one for the industry. Focusing on effective deployment and enablement through organisations is critical to success. #AIinPharma #DigitalTransformation #HealthcareInnovation

The fact that AI generally struggles to find useful models when the amount of available data is small and sparse, as is the case in drug discovery, underscores the importance of Verseon’s innovative Extreme AutoML. https://lnkd.in/gUDrbFVC #AI, #drugdiscovery, #machinelearning, #pharmaceuticals, #X-ELM, #Verseon