AI in Life Sciences: Should You Follow This Trend?

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  • čas přidán 8. 06. 2024
  • Welcome to episode 045 of Life Sciences 360.
    On this episode, Nagesh Nama and his team at XLM talk on why Gen.AI is essential in the software test world and share examples of its use in various industries, particularly in life sciences and manufacturing. They address the challenges faced by companies in adopting AI and provide solutions for integrating AI into existing systems.
    Harsh and his guests discuss how AI can improve productivity, enhance quality assurance processes, and enable proactive decision-making. The conversation emphasizes the importance of having an AI strategy and encourages SMBs to embrace AI to gain a competitive advantage.
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    Links:
    * Nagesh Nama LinkedIn ( / nageshnama )
    * xLM LinkedIn ( / xlm-llc )
    *xLM website (www.continuousvalidation.com/)
    *Harsh Thakkar LinkedIn ( / harshvthakkar )
    *Listen to this episode on the go!
    🍎Apple podcast: apple.co/3RXPoS1
    🟩 Spotify podcast: spoti.fi/3EbDZbr
    👍 Like this video if you enjoy diving deep into the latest healthcare trends.
    💬 Comment below any questions you have on Generative AI. Have you implemented this into your operations yet?
    🔔 Subscribe to our channel @lifesciences360 for more expert interviews about the rapidly evolving world of life sciences.
    📲 Follow us on social media to keep up with the latest news and discussions in the biotech and pharmaceutical sectors.
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    Show Notes:
    (0:00) Human vs. AI Diagnosis
    (4:40) Using AI to Automate Clinical Trial Management Systems
    (8:18) Challenges of AI adoption & Data Integrity
    (13:55) Affordable AI Validation Services for SMBs
    (17:55) New Companies Add AI Features, Chat GPT Stays Ahead
    (21:58) How To Increase Productivity & Improve Compliance
    (26:44) XLM's AI Powered Platform
    (30:45) AI in Pharma
    (34:57) Using AI for Supply Chain Management
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Komentáře • 2

  • @mitalijain6444
    @mitalijain6444 Před 12 dny +1

    Amazing insights....it just blew my mind how AI ML is getting incorporated at every step in a Pharma industry.