• Trend Detection Podcast

  • 著者： Siemens
  • ポッドキャスト

Trend Detection Podcast

著者： Siemens
無料で聴く

  • サマリー

  • Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
    Siemens AG
    続きを読む 一部表示

あらすじ・解説

Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform, powered by Siemens, which enables predictive maintenance at scale across all of your assets, across all of your plants.Listen to gain insights from our bi-weekly live events and interviews with industry experts about all things predictive maintenance, IoT and digital transformation.Please subscribe via your selected podcast provider to be notified about future episodes.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
Siemens AG
続きを読む 一部表示
エピソード
  • Bridging Data and Predictive Maintenance Deployments - with Dr Rebecca French

    Bridging Data and Predictive Maintenance Deployments - with Dr Rebecca French
    2024/11/27
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.In this episode, you will learn:Role Evolution and Expertise: Rebecca French, Senseye's Technical Delivery Lead, discusses her journey from data science to technical delivery, emphasizing the importance of bridging customer feedback with product development.Predictive Maintenance at Scale: The episode explores how Senseye's predictive maintenance platform scales across diverse assets, avoiding asset-specific models, which makes it adaptable and efficient for large-scale deployments.Importance of Communication and User Involvement: Rebecca highlights the need for clear communication between Senseye’s teams and the end users, ensuring that predictive maintenance insights are accessible and actionable.Gen AI's Impact on Predictive Maintenance: The integration of generative AI, like Maintenance Co-Pilot, enriches the predictive maintenance process by offering deeper, contextual insights that support maintenance teams' decision-making.Success Stories and Cultural Shifts: A focus is placed on how companies like BlueScope Steel have embedded predictive maintenance into their organizational culture, leading to role creation for champions within the organization, underscoring predictive maintenance's transformative impact on businesses.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
    続きを読む 一部表示
    45 分
  • The truth about predictive maintenance - with Nat Ford

    The truth about predictive maintenance - with Nat Ford
    2024/11/21
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.Episode Summary:Predictive Maintenance Evolution: Understanding the progression from condition monitoring to predictive maintenance, emphasizing the benefits of reducing unplanned downtime and improving maintenance efficiency.Conversational Predictive Maintenance: Introduction of conversational predictive maintenance powered by AI, which makes interacting with maintenance data more user-friendly through chat functions and copilots.Data Utilization: Discussion on how even small amounts of data can effectively inform maintenance decisions, challenging the misconception that large datasets are necessary for predictive maintenance.AI's Role in Maintenance: Exploration of generative AI's role in making maintenance tasks more accessible and scalable, allowing users to ask natural language questions about machine conditions and get informed, contextual responses.Human and Machine Collaboration: Insights into how the integration of AI is transforming predictive maintenance into a more interactive process, supporting users in real-time decision-making and troubleshooting.Ongoing Innovation: Speculation on the future of predictive maintenance, particularly how AI-driven insights will continue to evolve and improve maintenance strategies.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
    続きを読む 一部表示
    33 分
  • Digital Transformation and AI in Mining - a discussion with Joseph Starwood from Microsoft

    Digital Transformation and AI in Mining - a discussion with Joseph Starwood from Microsoft
    2024/11/19
    Welcome to the Trend Detection podcast, brought to you by Senseye Predictive Maintenance – the platform which enables predictive maintenance at scale across all of your assets, across all of your plants.Episode Summary:Exploring AI's Role in Mining: Learn how AI and digital transformation are reshaping the mining industry, from improving operational efficiency to offering predictive insights.Fostering a Data-Driven Workforce: We’ll discuss the importance of a people-centric approach, where a data-driven culture enhances safety, productivity, and decision-making.Simple Wins in Digitization: Expect insights on how mining companies can easily start their digital journey by automating manual processes for faster, safer operations.Addressing Workforce Gaps with AI: Hear how AI and automation can fill critical skill gaps as the mining workforce ages, making the industry safer and less dependent on physical labor.Building Strategic Partnerships: We’ll talk about the value of collaborating with tech providers to build a secure, open ecosystem that accelerates digital transformation in mining.You can find out more about how Senseye Predictive Maintenance can reduce unplanned downtime and contribute towards improved sustainability within your manufacturing plants, by visiting: www.siemens.com/senseye-predictive-maintenance
    続きを読む 一部表示
    42 分

Trend Detection Podcastに寄せられたリスナーの声

カスタマーレビュー：以下のタブを選択することで、他のサイトのレビューをご覧になれます。

Audible.co.jp

Amazon.co.jp
レビューはまだありません。