Webinar on demand

Anomaly Detection in Performance Energy Grids

hosted by TrendMiner

Duration: 49 minutes (36 minutes presentation + 13 minutes Q&A)

     Click this icon in player to easily navigate through the video chapters

Explore the ever-changing landscape of sustainability issues and learn how advanced analytics may spur innovation. Watch TrendMiner in action how it transforms energy management and anomaly detection in critical infrastructures by offering real-time information.

Find out how to use predictive analytics for sustainable practices and operational efficiency from professionals in the field. The webinar speaks about innovative technologies, practical use cases, and interactive discussions designed to empower your business and enhance sustainability.

About the Speakers

Sabine Pietruch

Sabine Pietruch is a Data Analytics Engineer at TrendMiner. She has a chemical engineering degree. As part of the Customer Success team in the DACH region, she supports TrendMiner users on their analytics journey and strives to close the gap between process engineers and data scientists.

With a degree in biochemical and chemical engineering and starting a new career as a Customer Success Manager for TrendMiner, Daniel Münchrath brings the two worlds of industry and data analytics together. Since joining TrendMiner in 2017, he has been supporting the DACH-division to grow and succeed in its efforts.

Video Chapters Overview 

Dive into the realm of advanced analytics as we explore the impactful intersection of data science and sustainability. In this webinar you may find out how to use predictive analytics for sustainable practices and operational efficiency, leveraging data for a sustainable future.

  Watch this chapter

Uncover the pervasive challenges industries face in adopting sustainable practices. This chapter delves into the barriers that hinder progress and discusses the broader implications for businesses striving for sustainability. Learn about the critical role of data science in overcoming these hurdles.

  Watch this chapter

This chapter addresses the topic of energy sustainability, exploring innovative strategies to enhance energy efficiency and reduce environmental impact. Discover how industries can leverage technology to transform their energy usage and contribute to a more sustainable world.

  Watch this chapter

Get an exclusive look at TrendMiner, an advanced analytics tool designed to revolutionize process industries. This segment showcases how TrendMiner enhances operational efficiency and supports sustainability goals through intuitive, data-driven insights.

  Watch this chapter

This chapter illustrates how real-time data monitoring and predictive analytics can prevent costly downtimes and ensure reliability in critical infrastructure. You may see the practical application of TrendMiner with a focus on anomaly detection in energy grids.

  Watch this chapter

Reflect on the insights and learnings from our session as we wrap up the webinar. This chapter emphasizes the key takeaways and reinforces the importance of integrating advanced analytics into sustainability strategies.

  Watch this chapter

This Q&A session offers a chance to deepen understanding and drive home the practical benefits of the discussed technologies.

  Watch this chapter

     Click in player to easily navigate through the video

Video Chapters Overview 

Dive into the realm of advanced analytics as we explore the impactful intersection of data science and sustainability. In this webinar you may find out how to use predictive analytics for sustainable practices and operational efficiency, leveraging data for a sustainable future.

  Watch this chapter

Uncover the pervasive challenges industries face in adopting sustainable practices. This chapter delves into the barriers that hinder progress and discusses the broader implications for businesses striving for sustainability. Learn about the critical role of data science in overcoming these hurdles.

  Watch this chapter

This chapter addresses the topic of energy sustainability, exploring innovative strategies to enhance energy efficiency and reduce environmental impact. Discover how industries can leverage technology to transform their energy usage and contribute to a more sustainable world.

  Watch this chapter

Get an exclusive look at TrendMiner, an advanced analytics tool designed to revolutionize process industries. This segment showcases how TrendMiner enhances operational efficiency and supports sustainability goals through intuitive, data-driven insights.

  Watch this chapter

This chapter illustrates how real-time data monitoring and predictive analytics can prevent costly downtimes and ensure reliability in critical infrastructure. You may see the practical application of TrendMiner with a focus on anomaly detection in energy grids.

  Watch this chapter

Reflect on the insights and learnings from our session as we wrap up the webinar. This chapter emphasizes the key takeaways and reinforces the importance of integrating advanced analytics into sustainability strategies.

  Watch this chapter

This Q&A session offers a chance to deepen understanding and drive home the practical benefits of the discussed technologies.

  Watch this chapter

Discover the transformative power of data science in our exclusive webinar! Explore the ever-changing landscape of sustainability issues and learn how advanced analytics may spur innovation. Watch TrendMiner in action how it transforms energy management and anomaly detection in critical infrastructures by offering real-time information.

Find out how to use predictive analytics for sustainable practices and operational efficiency from professionals in the field. The webinarspeaks about innovative technologies, practical use cases, and interactive discussions designed to empower your business and enhance sustainability.

About the Speakers

Sabine Pietruch

Sabine Pietruch is a Data Analytics Engineer at TrendMiner. She has a chemical engineering degree. As part of the Customer Success team in the DACH region, she supports TrendMiner users on their analytics journey and strives to close the gap between process engineers and data scientists.

With a degree in biochemical and chemical engineering and starting a new career as a Customer Success Manager for TrendMiner, Daniel Münchrath brings the two worlds of industry and data analytics together. Since joining TrendMiner in 2017, he has been supporting the DACH-division to grow and succeed in its efforts.