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Webinar: Real-World AI/ML & Discovery Assessment

Webinar: Real-World AI/ML & Discovery Assessment

Transforming Lab Efficiency and Productivity

Thank you for joining our Lab Manager webinar as part of the Advances in Lab Software & AI Digital Summit. We hope you found the session insightful and valuable for your lab’s future. Adam Steinert and James Smagala discussed how AI and ML can be practically integrated into lab operations, offering real-world examples to overcome challenges and leverage these technologies effectively.

Here's what our Yahara experts covered:

  • Overcome FOMO: Grasp AI’s potential and ensure you’re not missing out on critical opportunities.
  • Understand the Differences: Learn to differentiate between AI and ML and understand their specific relevance to your lab.
  • See Through the Hype: Identify what AI/ML can realistically achieve, beyond the exaggerated claims.
  • Get Started Easily: Leverage out-of-the-box solutions that minimize the need for extensive customization.
  • Adapt Quickly: Utilize no-code or low-code applications designed for non-programmers.
  • Scale with Confidence: Explore strategies for scaling AI/ML capabilities effectively.

Webinar Recording

We encourage you to explore our handouts below, which offer actionable insights to help you implement Data & AI/ML best practices. Yahara Software has the resources to provide you with a solid foundation to start transforming your lab’s operations.

Ready to take the next step? We offer a no cost assessment that is designed to help you evaluate your lab’s current state and provide tailored recommendations for improvement. By partnering with Yahara Software, you’ll be equipped to unlock your lab’s full potential with cutting-edge technology and expert guidance.

Our assessment is the fastest and easiest way ensure your lab is fully prepared for the next phase of innovation.

Contact Us:

    •    Email: learn@yaharasoftware.com
    •    Phone: (608) 821-1750

Handouts:

Enable optimal scientific operations with effective data practices

Data science is science

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