Eppendorf ’s Post

We are thrilled to announce a strategic collaboration between Eppendorf SE and DataHow AG aimed at transforming bioprocess development! This partnership will integrate DataHow's innovative AI-enabled analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring and analytics platform, BioNsight® cloud. Together, we are providing scientists with unparalleled insight and analytics capabilities, enhancing bioprocess development efficiency and collaboration. 🔬 Key Highlights: • Seamless Data Integration: Our solutions enable seamless data sharing and contextualization across multiple devices and locations, ensuring that scientists can make meaningful comparisons and generate valuable insights. • Advanced Predictive Modeling: DataHowLab democratizes access to advanced AI, enabling non-data science experts to perform complex analyses with guided workflows. • Enhanced R&D Efficiency: With faster process understanding, R&D can operate more efficiently by reducing experimental effort and accelerating project timelines, thus saving precious resources. This collaboration sets a new standard for data integration and collaboration in the bioprocessing field, advancing our understanding of complex biological processes and ensuring the success of your research projects. For more information, get in contact with us or visit https://lnkd.in/ek2efHyj #AI #datahowlab #Eppendorf

We are thrilled to announce a strategic collaboration between Eppendorf SE and DataHow AG aimed at transforming bioprocess development! This partnership will integrate DataHow's innovative AI-enabled analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring and analytics platform, BioNsight® cloud. Together, we are providing scientists with unparalleled insight and analytics capabilities, enhancing bioprocess development efficiency and collaboration. 🔬 Key Highlights: • Seamless Data Integration: Our solutions enable seamless data sharing and contextualization across multiple devices and locations, ensuring that scientists can make meaningful comparisons and generate valuable insights. • Advanced Predictive Modeling: DataHowLab democratizes access to advanced AI, enabling non-data science experts to perform complex analyses with guided workflows. • Enhanced R&D Efficiency: With faster process understanding, R&D can operate more efficiently by reducing experimental effort and accelerating project timelines, thus saving precious resources. This collaboration sets a new standard for data integration and collaboration in the bioprocessing field, advancing our understanding of complex biological processes and ensuring the success of your research projects. For more information, get in contact with us or visit https://lnkd.in/ek2efHyj #AI #datahowlab #Eppendorf

We are thrilled to announce a strategic collaboration between Eppendorf SE and DataHow AG aimed at transforming bioprocess development! This partnership will integrate DataHow's innovative AI-enabled analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring and analytics platform, BioNsight® cloud. Together, we are providing scientists with unparalleled insight and analytics capabilities, enhancing bioprocess development efficiency and collaboration. 🔬 Key Highlights: • Seamless Data Integration: Our solutions enable seamless data sharing and contextualization across multiple devices and locations, ensuring that scientists can make meaningful comparisons and generate valuable insights. • Advanced Predictive Modeling: DataHowLab democratizes access to advanced AI, enabling non-data science experts to perform complex analyses with guided workflows. • Enhanced R&D Efficiency: With faster process understanding, R&D can operate more efficiently by reducing experimental effort and accelerating project timelines, thus saving precious resources. This collaboration sets a new standard for data integration and collaboration in the bioprocessing field, advancing our understanding of complex biological processes and ensuring the success of your research projects. For more information, get in contact with us or visit https://lnkd.in/ek2efHyj #AI #datahowlab #Eppendorf

We are thrilled to announce a strategic collaboration between Eppendorf SE and DataHow AG aimed at transforming bioprocess development! This partnership will integrate DataHow's innovative AI-enabled analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring and analytics platform, BioNsight® cloud. Together, we are providing scientists with unparalleled insight and analytics capabilities, enhancing bioprocess development efficiency and collaboration. 🔬 Key Highlights: • Seamless Data Integration: Our solutions enable seamless data sharing and contextualization across multiple devices and locations, ensuring that scientists can make meaningful comparisons and generate valuable insights. • Advanced Predictive Modeling: DataHowLab democratizes access to advanced AI, enabling non-data science experts to perform complex analyses with guided workflows. • Enhanced R&D Efficiency: With faster process understanding, R&D can operate more efficiently by reducing experimental effort and accelerating project timelines, thus saving precious resources. This collaboration sets a new standard for data integration and collaboration in the bioprocessing field, advancing our understanding of complex biological processes and ensuring the success of your research projects. For more information, get in contact with us or visit https://lnkd.in/ek2efHyj #AI #datahowlab #Eppendorf

We are excited to announce a strategic collaboration between Eppendorf SE and DataHow AG aimed at transforming bioprocess development!  This partnership will integrate DataHow's innovative AI-enabled analytics solution, DataHowLab, with Eppendorf's cloud-based monitoring and analytics platform, BioNsight® cloud. Together, we are providing scientists with unparalleled insight and analytics capabilities, enhancing bioprocess development efficiency and collaboration. 🔬 Key Highlights:  - Seamless Data Integration: Our solutions enable seamless data sharing and contextualization across multiple devices and locations, ensuring that scientists can make meaningful comparisons and generate valuable insights.   - Advanced Predictive Modeling: DataHowLab democratizes access to advanced AI, enabling non-data science experts to perform complex analyses with guided workflows. - Enhanced R&D Efficiency: With faster process understanding, R&D can operate more efficiently by reducing experimental effort and accelerating project timelines, thus saving precious resources. This collaboration sets a new standard for data integration and collaboration in the bioprocessing field, advancing our understanding of complex biological processes and ensuring the success of your research projects. #Bioprocessing #DataAnalytics #AI #Collaboration #datahowlab #eppendorf For more information, get in contact with us or visit https://lnkd.in/e2WxFn74

📢 IT Partnerships Share-Out: Updates from Bayer & MIT CSAIL!   I’m thrilled to share key takeaways from the recent 'Tech Talk' at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) presented by my esteemed colleague, Dr. Steffen Vogler. Thank you to Christiana K. for hosting us!   During the session, Steffen highlighted the crucial intersection of AI and healthcare, emphasizing the need for a data-centric approach to machine learning. He introduced "Croissant" (https://lnkd.in/egd2r85F), a standardized metadata format that is developed as an open-source tool under the supervision of MLCommons and that has the potential to improve quality of data exchange in Healthcare.   Here are some key points from the talk: 1. Addressing Healthcare Challenges: With radiology facing increased demand and a shortage of healthcare professionals, leveraging data-driven AI solutions is essential. Steffen pointed out that improving data practices today can lead to better patient outcomes tomorrow. 2. The Power of Data-Centric Machine Learning: Rather than focusing solely on model architecture, we must prioritize the quality and structure of input data to create reliable AI systems. 3. Introducing Croissant: This innovative tool is designed to enhance ML-readiness of datasets, which facilitates clearer data exchanges among researchers and enhances discoverability. 4. Collaborative Efforts: To be fully effective, Croissant needs to be supported and embedded by an ecosystem of data providers, technology enablers, and innovators. The ecosystems can either be fully open or, if intended for patient data, secured and protected such as Bayer’s new AI Innovation Platform.   Our ongoing collaboration with MIT CSAIL underscores Bayer's commitment to advancing healthcare through innovative technology, and we are excited about the potential of projects like Croissant to transform the medical landscape.   Let’s continue to push the boundaries of what's possible in healthcare, utilizing AI responsibly and effectively!   #AI #Healthcare #TeamBayer #MITCSAIL #DataCentric #Innovation #Collaboration #BayerInRadiology #SeeThePossibleCreateTheFuture #LifeScience #HealthForAll #HungerForNone #Partnerships Bijoy Sagar, Dr. Matthias Vennemann, Mark Sparks, Markus Blank