For decades the energy industry has been plagued by volatility due to the ever-fluctuating price of oil. The result, the Oil and Gas sector clings to stability—even if that consistency means operating 50-year-old analog equipment. But as newer, greener players enter the market, these decades old technologies are no longer competitive.

The energy industry is entering an inflection point of digitalization, data centers and artificial intelligence. For Oil and Gas to keep up, it must first implement new data strategies focused on digital maturity.

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The success of humanoid robots depends on treating them as software-defined systems that are designed to learn, adapt and improve continuously through powerful compute platforms and intelligent software architectures.

In today’s episode of The Industry Forward Podcast, host

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The rise of software-defined vehicles in the automotive industry has opened new ways to access and leverage data gathered by said vehicles. Not only can that data improve the accuracy of a vehicle’s digital twin, but it can also make the digital twin smarter when used to bolster artificial intelligence (AI). The result is a more comprehensive Digital Twin, as well as other applications that enable better data coherence across platforms.

In this episode of The Industry Forward Podcast, Royston Jones, Global Head of Automotive and Transportation for Siemens Digital Industries Software, and Ryan Martin, Senior Research Director at ABI Research explore how vehicle data can lay the ground work for the comprehensive Digital Twin and AI across the automotive industry.

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Many companies become complacent when they are leading the market. But history proves the only lesson from inaction is extinction. Thanks to the benefits, and risks, of artificial intelligence (AI), this truth has never been more salient.

In today’s episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software (Siemens) and William (Bill) Hahn, Director of Solutions Consulting at Siemens discuss why organizations must adopt AI technologies. They then dig into how to convince skeptics before it is too late.

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Humanoid robots are quickly transitioning from experimental pilots to scalable industrial solutions; and at the heart of this change is AI and simulation.

In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, is joined with Rahul Garg, Vice President of Industrial Machinery Software Strategy to discuss how on how humanoid robots are trained, deployed and scaled, highlighting the critical roles of AI and the Digital Twin.

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Vehicles are not the only thing in the automotive industry being altered by digital technology and software. Many of the processes that make such vehicles, in design, production and beyond, are themselves being transformed with the integration of digital technologies and tools. Such tools, such as the comprehensive Digital Twin, can enable automotive companies and their engineers to shift left, or make key product decisions as early as the design phase.

In this episode of The Industry Forward Podcast, Royston Jones, Global Head of Automotive and Transportation for Siemens Digital Industries Software, and Ryan Martin, Senior Research Director at ABI Research discuss the ways digitalization enables the automotive industry to shift left, and other ways digital technology and the Digital Twin impact the industry across the product lifecycle.

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In process industries there is no AI for all. Just as the value of employees increase with specialization; AI tools become more valuable through improved expertise in particular areas. So, this begs the question, what roles can AI play in process industries?

In today’s episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software (Siemens) asks this question to William (Bill) Hahn, Director of Solutions Consulting at Siemens. The conversation that ensues shows why AI tools must be tuned to specific users and functions.

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Cars today are incredibly different compared to cars just a few decades ago. Whereas cars were historically mechanically centric products, they are now integrating increasing amounts of electronics and software, to the point that “software-defined vehicles” are becoming the norm. What does this major technological shift mean for the future of the automotive industry?

In this episode of The Industry Forward Podcast, Royston Jones, Global Head of Automotive and Transportation for Siemens Digital Industries Software, is joined by Ryan Martin, Senior Research Director at ABI Research to explore the key drivers behind the shift toward software-defined vehicles and the ways it is changing how the industry operates across companies, supply chains and beyond.

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Humanoid robots bring humanlike flexibility while not being limited

In today’s episode of The Industry Forward Podcast, host Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, is joined with Rahul Garg, Vice President of Industrial Machinery Software Strategy to discuss how humanoids use physical AI to adapt to new environments all while augmenting the capabilities of human workers.  

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Process industry data is only useful if it is findable, accessible, interoperable and reusable. This concept, often truncated to FAIR data, represents how information can feed digital twins, simulations and AI systems that herald the next industrial revolution.

In today’s episode of the Industry Forward podcast, host John Nixon, Global Vice President of Process Industries at Siemens Digital Industry Software (Siemens) will speak with William (Bill) Hahn, Director of Solutions Consulting at Siemens. In this discussion, they highlight five key takeaways about FAIR data for engineers modernizing industrial applications.

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