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Episode 4: Data-Driven Digital Transformation with Google’s Danny Lange

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Contenido proporcionado por ZeroNorth. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente ZeroNorth o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Maritime Shipping continues to struggle with its data-driven digital transformation, perhaps due to the fact the global trade industry has many different regional capabilities, needs, mindsets, and conflicting incentives. These complexities may be why the shipping industry has been slow to adopt technology and reap the benefits of machine learning and AI.

In this episode, ZeroNorth’s Lora Jakobsen sits down with Danny Lange, VP of BI and AI at Google to discuss the potential of AI in shipping, the data flywheel effect, and how high-quality data collection could make all the difference for the future of the maritime trade industry.

Danny has an impressive resume – he's worked at Microsoft, Uber, Amazon, Unity, and General Motors, leading some of the most exciting data-driven innovations in AI and machine learning over the last thirty years. Danny has been at the forefront of groundbreaking initiatives around speech recognition, large-scale machine learning, and recently, the enablement of generative AI.

In this conversation, we tap into Danny's unique foresight into the world of technology. He’s worked at a lot of digital-first companies and recognizes that shipping and the trade industry are siloed and traditional in many of their practices. Data science is used in modern maritime shipping, but machine learning requires a huge amount of data to train its models. We discuss how we can gather and standardize more data so that the industry can progress on its journey to zero emissions.

There’s no denying we are facing a climate crisis, and all industries must do their part of Decarbonisation to reach zero emissions. Maritime trade is critical to today’s society but is also responsible for roughly 3% of all greenhouse gas emissions. A future where global trade reaches zero carbon emissions is possible, but how do we get there?

In this podcast, we're sitting down with thought leaders to explore the inner workings of global trade and maritime shipping, their massive impact on our society, and the obstacles they face while navigating their way to zero carbon emissions.

___________

Navigating Zero is presented by Lora Jakobsen, Chief Purpose Activist at ZeroNorth. ZeroNorth is a service platform helping the global shipping industry achieve optimal performance and reduce its carbon emissions, by blending advanced data-driven technology with human expertise. It was founded to lead the sustainable transition of global trade.

About Danny Lange: LinkedIn Profile

About ZeroNorth: Website

About Lora Jakobsen: LinkedIn Profile
Subscribe to the Navigating Zero Newsletter

  continue reading

12 episodios

Artwork
iconCompartir
 
Manage episode 394064495 series 3524960
Contenido proporcionado por ZeroNorth. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente ZeroNorth o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

Maritime Shipping continues to struggle with its data-driven digital transformation, perhaps due to the fact the global trade industry has many different regional capabilities, needs, mindsets, and conflicting incentives. These complexities may be why the shipping industry has been slow to adopt technology and reap the benefits of machine learning and AI.

In this episode, ZeroNorth’s Lora Jakobsen sits down with Danny Lange, VP of BI and AI at Google to discuss the potential of AI in shipping, the data flywheel effect, and how high-quality data collection could make all the difference for the future of the maritime trade industry.

Danny has an impressive resume – he's worked at Microsoft, Uber, Amazon, Unity, and General Motors, leading some of the most exciting data-driven innovations in AI and machine learning over the last thirty years. Danny has been at the forefront of groundbreaking initiatives around speech recognition, large-scale machine learning, and recently, the enablement of generative AI.

In this conversation, we tap into Danny's unique foresight into the world of technology. He’s worked at a lot of digital-first companies and recognizes that shipping and the trade industry are siloed and traditional in many of their practices. Data science is used in modern maritime shipping, but machine learning requires a huge amount of data to train its models. We discuss how we can gather and standardize more data so that the industry can progress on its journey to zero emissions.

There’s no denying we are facing a climate crisis, and all industries must do their part of Decarbonisation to reach zero emissions. Maritime trade is critical to today’s society but is also responsible for roughly 3% of all greenhouse gas emissions. A future where global trade reaches zero carbon emissions is possible, but how do we get there?

In this podcast, we're sitting down with thought leaders to explore the inner workings of global trade and maritime shipping, their massive impact on our society, and the obstacles they face while navigating their way to zero carbon emissions.

___________

Navigating Zero is presented by Lora Jakobsen, Chief Purpose Activist at ZeroNorth. ZeroNorth is a service platform helping the global shipping industry achieve optimal performance and reduce its carbon emissions, by blending advanced data-driven technology with human expertise. It was founded to lead the sustainable transition of global trade.

About Danny Lange: LinkedIn Profile

About ZeroNorth: Website

About Lora Jakobsen: LinkedIn Profile
Subscribe to the Navigating Zero Newsletter

  continue reading

12 episodios

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