Performance Development Group’s Post

When I joined SAS, I was motivated by the immense potential of SAS Viya to accelerate breakthroughs across the life sciences value chain. Today, AI and machine learning are revolutionizing how we solve complex business challenges, and it's clear that faster, more collaborative insights are critical for advancing drug development, clinical trials, and real-world evidence analysis.   Recent evaluations by The Futurum Group confirmed that SAS Viya delivers 4x greater productivity in managing the full AI/ML lifecycle—far outpacing competing platforms. This kind of productivity boost not only enables life sciences organizations to derive deeper insights faster but also helps optimize resource allocation and reduce costs across the board.   With the ability to scale insights globally and tailor our AI capabilities to diverse data types, SAS Viya is setting a new standard for innovation in the pharmaceutical and biotech industries. I’m proud to be part of a team that’s empowering data and AI teams to focus on breakthroughs, rather than being bogged down by complexity. #LifeSciences #AI #SASViya #Innovation #Pharma #HealthcareAI #DataAnalytics

🌟 Redefining AI in Biopharma: From Overpromise to Strategic Impact 🧬 The biopharma industry has long been tantalized by the promise of AI as a silver bullet for all its challenges. However, the reality often falls short of expectations, leaving us grappling with persistent issues such as data bottlenecks, fragmentation, and disparate data sources. It's time to shift our focus towards strategic impact and tangible outcomes. 🔍 Data Bottlenecks: By focusing on eliminating data bottlenecks, we pave the way for smoother operations and streamlined processes. Let's prioritize efficient data management practices that not only enhance productivity but also unlock the full potential of AI in biopharma. 🔗 Data Fragmentation: The fragmentation of data sources poses a significant hurdle in the quest for coherent insights. By integrating disparate data sources in a harmonious manner, we can create a unified data landscape that forms the foundation for evidence-based decision-making and innovation. 💡 Advanced Evidence Generation: The key to transcending the challenges of data fragmentation and bottlenecks lies in advanced evidence generation. By harnessing the power of AI to distill complex data into concise, actionable insights, we can demonstrate the true value of data-driven strategies across the biopharma value chain. 🔓 Let's break free from the allure of AI as a silver bullet and embrace a more nuanced approach that emphasizes strategic thinking and practical outcomes. By championing brevity through advanced evidence generation, we can transform the biopharma landscape and drive meaningful progress towards improved patient outcomes and scientific breakthroughs. Join me in reshaping the narrative around AI in biopharma and unlocking its true potential through deliberate, impactful strategies. #Biopharma #AI #AdvancedEvidenceGeneration #BiopharmaInnovation 🚀🧠✨

Unlocking Efficiency: Harnessing LLMs and Generative AI for Next-Gen Enterprise Data Management and Data Product Creation We are excited to announce that our latest research paper, "Transforming Enterprise Data Management (EDM) with Large Language Models and Generative AI," is now published on IEEE Xplore! 🚀 In this study, we showcase how integrating LLMs and Generative AI into EDM processes significantly reduces both time and costs while enhancing overall efficiency. 📊 Our benchmarks reveal major improvements in key stages such as: Data Profiling Standardization Source-to-Target Mapping Domain enabled Quality Checks Code Generation 💡 The case study, focusing on the pharmaceutical domain, demonstrates how AI-driven workflows can streamline data management, resulting in faster business reporting and improved strategic insights. This approach is a game-changer for organizations looking to optimize their data management and analytics processes! 📖 Read the full paper on IEEE Xplore: https://lnkd.in/dqvdQ_xZ This research was done under guidance of Sandeep Varma and experiments were led by Snigdha Biswas , Biswarup Ray , Pratyush Jha and Arshiya Sarmai #AI #LLMs #GenerativeAI #EnterpriseDataManagement #Pharma #DataScience #Efficiency #CostSaving #Innovation #IEEE #Research #SwissDataScienceConference

**AI Revolution in Pharma: Friend or Foe? ** From personalized medicine to pandemic prediction, GenAI is redefining the future of healthcare. But while data evangelists champion its potential, AI skeptics raise critical questions: ❓ Can Silicon Valley giants, with their algorithms, truly grasp the nuanced tapestry of medicine? Will their data-driven models falter against the messy realities of disease and the human body? ❓ Can the precision of AI coexist with the intuition and empathy of traditional research methods? Or will robots replace researchers, leaving patients feeling like data points instead of individuals? These concerns are valid, highlighting the complexities of integrating AI into a field rooted in human expertise. But the opportunities are undeniably alluring: ❗ Drowning in preclinical data, yet Phase 1 trials are slow: Can AI sift through the noise, identify promising candidates, and accelerate the path to life-saving drugs? ❗ Mountains of untapped biological data hold secrets to new therapies: How can we leverage AI to mine this hidden treasure trove, uncovering patterns that could revolutionize drug discovery? Dive into the article below for a deeper look. Then, let's join the conversation! Where do we stand on the AI frontier? How can we harness its power responsibly to navigate this technological wave towards a healthier future? I'm eager to hear your thoughts!

Big data analytics plays an immense role in the healthcare industry, but its complex and costly nature brings challenges to the workforce. To solve this, Samy Danesh, Cyrus Jia, and Frances Liu create Argon AI (YC W24), a platform that automates clinical intelligence processes through natural language in minutes. Learn more at www.diggerinsights.com. #ai #healthcare #datanalytics #tech #technology

The Journal of Business and Artificial Intelligence is now accepting submissions for our inaugural edition to be published in March 2024. The Journal's focus is on case studies detailing practical applications of artificial intelligence to solve real-world business problems. If you or your organization has used AI successfully (or unsuccessfully) to solve a business problem in manufacturing, medicine, logistics, technology, retail, agriculture, energy, consulting or any other sector, please submit a case study to share your knowledge with the world. https://jbai.ai

Submitting a case study to the JBAI is a great way to publicize the great work you or your organization are doing with AI to solve real-world business problems!

AI’s power lies in its ability to extract meaningful insights from vast data sets. And it's hard for the human mind to imagine the impact. A recent example I just learned about is LucaProt, the AI tool used in a recent study, which identified nearly 162,000 previously unknown RNA viruses from environmental samples, vastly expanding our understanding of viral diversity: "The vast majority of these viruses had been sequenced already and were on public databases, but they were so divergent that no one knew what they were.... They comprised what is often referred to as sequence 'dark matter'. Our AI method was able to organize and categorize all this disparate information, shedding light on the meaning of this dark matter for the first time." These insights highlight AI’s role in life sciences, as it can analyze data at scales never before possible. Of course, AI also can bring massive benefits to businesses by automating routine tasks, like in marketing or product development, freeing up time and resources so teams can focus on higher-level strategy and growth. Just the other day, I helped a client streamline editing an existing video including redoing the voice using AI, changing content in the video, and applying subtitles in another language. And this was done in three hours with a one-time cost of $70 for an up and coming AI video-editing software. Traditionally this would take two weeks or more and cost hundreds, if not thousands. It's critical to be on the leading edge of adopting AI solutions for business to stay ahead. Whether for biology or business, AI transforms data into actionable insights, driving innovation across sectors when used correctly. I'm curious to see where this all leads in the coming months and years. https://lnkd.in/gG7DBkjQ. Original publication: https://lnkd.in/gJtiXv3Q #AI #Innovation #Biotech #Automation #LLMS #SundayReading #FractionalCMO

With the advent of artificial intelligence, multiple AI tools have been designed. Every AI tool has it's own speciality and use. AnswerThis has its own distinctive features as an AI research assistant to facilitate the work of researchers in their own field. #AIResearchAssistant #LiteratureAI #WritingAI #AIinResearch #TechForWriters #AIWritingAssistant #LiteraryTech #AIinLiterature #WritingResearchAI #aiwritingtools

𝐖𝐡𝐚𝐭 𝐒𝐞𝐭𝐬 𝐀𝐧𝐬𝐰𝐞𝐫𝐓𝐡𝐢𝐬 𝐀𝐩𝐚𝐫𝐭 𝐅𝐫𝐨𝐦 𝐎𝐭𝐡𝐞𝐫 𝐓𝐨𝐨𝐥𝐬? AnswerThis is the first tool to read entire papers and generate advanced responses from the full picture. It's not just a vague summary built on abstracts, what AnswerThis provides is a genuinely comprehensive analysis. Worried about AI hallucinations? AnswerThis builds your answer using the research papers as the foundation, extracting excerpts and building connections between the sources to form a summarization. 𝐍𝐨 𝐡𝐚𝐥𝐥𝐮𝐜𝐢𝐧𝐚𝐭𝐢𝐨𝐧𝐬, 𝐨𝐧𝐥𝐲 𝐩𝐫𝐨𝐯𝐞𝐧 𝐚𝐧𝐝 𝐩𝐮𝐛𝐥𝐢𝐬𝐡𝐞𝐝 𝐟𝐚𝐜𝐭𝐬 On top of this, AnswerThis gives 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐜𝐢𝐭𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐟𝐢𝐧𝐝𝐬 𝐤𝐞𝐲 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐬 for you to read, breaking down all relevant information in the generated sources table that give you additional insights on both your question and the paper. Want more? With a single click AnswerThis can 𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞 𝐬𝐮𝐦𝐦𝐚𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐬 𝐨𝐧 𝐞𝐯𝐞𝐫𝐲 𝐬𝐨𝐮𝐫𝐜𝐞 𝐮𝐬𝐞𝐝 𝐭𝐨 𝐚𝐧𝐬𝐰𝐞𝐫 𝐲𝐨𝐮 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧, breaking down the papers and delivering in-depth insights. Check out this video to see how we're revolutionizing research! #aitools #research #innovation