Industrial AI jeopardy: the truth about inaction

How to fully leverage digitalization in automotive today

For software-defined vehicles in the streets to AI in manufacturing, the automotive industry is set to undergo significant transformation in the next few years. Yet there are plenty of opportunities for automotive companies to get an early start on that transformation now. The data to drive change already exists across the product lifecycle, but only with digitalization can companies collect and leverage it in an impactful way. 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. Together, they discuss the accessibility of data for automotive companies today and how they can use digital tools such as the comprehensive Digital Twin can increase availability and use it to redefine automotive processes. In this episode, you will learn: * How many companies can access data and use it for prescriptive analytics * How the comprehensive Digital Twin uses data for deeper analyses * The importance of context and connecting across the product lifecycle Connect with Royston: * LinkedIn [https://www.linkedin.com/in/royston-jones-58379b12/?skipRedirect=true] Connect with Ryan: * LinkedIn [https://www.linkedin.com/in/ryangrangermartin/] Connect with Kate: * LinkedIn [https://www.linkedin.com/in/kate-eby-7819825/]

Energy sectors' digitalization is a must in an AI world

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. In this podcast you will learn: * 01:46 – How the volatility of the Oil and Gas sector affects modernization * 05:45 – Why the Energy sector’s digitalization lags other industries * 09:41 – How a good data strategy unlocks the future of the Oil and Gas industry Connect with John Nixon on LinkedIn [https://www.linkedin.com/in/johnnixon/] Connect with Thiago Ribeiro on LinkedIn [https://www.linkedin.com/in/thiago-felippe-ribeiro/]

Inside humanoid robotics: software and semiconductors

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 Dale Tutt, Global Vice President of Industry Strategy at Siemens Digital Industries Software, is joined by Michael Munsey, Vice President of Semiconductor Industry at Siemens Digital Industries Software. Together they explore why humanoid robots are rapidly emerging now and highlights the critical role of software-defined products and semiconductors in enabling them. This episode will cover: * The technologies helping humanoids gain momentum * The importance of semiconductors and compute platforms to the humanoid * Challenges in design * The role of AI in systems engineering

Data, the Digital Twin and AI in the future of automotive

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. In this episode, you will learn: * Why the comprehensive digital twin is critical for bringing new vehicles to market * How data and the digital twin provide the foundation for AI * Ways AI can make software across platforms more intelligent * The increasing use of data received in real-time Connect with Royston: * LinkedIn [https://www.linkedin.com/in/royston-jones-58379b12/?skipRedirect=true] Connect with Ryan: * LinkedIn [https://www.linkedin.com/in/ryangrangermartin/] Connect with Kate: * LinkedIn [https://www.linkedin.com/in/kate-eby-7819825/]

Industrial AI jeopardy: the truth about inaction

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. In this podcast you will learn: * 01:04 – The dangers of inaction with AI * 02:41 – How automating the mundane encourages buy-in * 08:11 – What happens when “this is how we've always done things” mentalities meet the reality of “we don’t know what we don’t know.” Connect with John Nixon - Global Vice President of Process Industries at Siemens Digital Industry Software [https://www.linkedin.com/in/johnnixon/] Connect with William Hahn, Director of Solutions Consulting at Siemens Digital Industry Software [https://www.linkedin.com/in/william-hahn-iii/]