The Industry Forward Podcast
By Siemens
Categories: Technology
Join industry experts to explore the key trends, transformative technologies and real-world innovations that are reshaping fields from aerospace, industrial machinery and semiconductors to pharmaceuticals and beyond. Each episode delivers an in-depth discussion on the dynamic challenges industries are facing and how digitalization driven by AI, software and the comprehensive digital twin is meeting those challenges today and redefining the global industry of tomorrow.
19 episodes indexed on PodSearch.
Recent episodes
- How AI-Native EDA Helps Overcome Complexity
Semiconductors are rapidly growing in complexity. This growth in complexity is outstripping the ability of current tools and engineering methods, straining teams as they attempt to keep pace with modern demands for cutting edge chips. The arrival of industrial AI, however, can help these teams by…
- How EDA Is Evolving for a New Era of Semiconductor Complexity
Semiconductor complexity is accelerating at a pace that traditional design methods struggle to handle. As transistor counts race toward one trillion per chip, the tools and workflows that engineers rely on must evolve to keep pace.In this episode of the Industry Forward Podcast, host Dale Tutt…
- Hidden industrial AI secrets from beer, bees and more
As industrial AI becomes a necessity, process industry experts will face many challenges implementing the digital transformations necessary to deploy the technology. Fortunately, experts in adjacent industries are already a few steps ahead on this journey. To succeed, manufacturing experts must…
- Get with the program: Industrial AI won’t suddenly vaporize
Industrial AI is here. The genie is out of the bottle. Those that adapt and embrace this new reality are setup to benefit from the technology’s force multiplication abilities. Those that cling to the way things were will be left in the dust. But AI is not a panacea, it pays to know what it can and…
- A devastating surprise industries see with AI integration
The artificial intelligence (AI) transition in the process industry is here. Soon, competitive advantages of AI will separate adopters from the pack. But to collect the data needed for AI, organizations must join operational technology (OT) and information technology (IT).In today’s episode of the…
- What it takes to power a humanoid robot
Batteries will play a critical role in the future of energy. Already, battery technology has dramatically improved over the past two decades and is one of the key technologies enabling the next generation of innovations—from humanoid robots to AI infrastructure, and electrified transportation.In…
- Powering humanoids: the promise and reality of solid-state batteries
The future of batteries for humanoid robots will depend on close collaboration across the entire battery ecosystem and greater use of AI-driven, data-centric manufacturing approaches. Solid-state batteries stand out as a key enabler for humanoids. Solid state batteries boast higher energy density…
- Powering the future of humanoid robotics
Humanoid robots must operate untethered and move freely in factories, making battery performance essential. To make humanoids practical for large-scale industrial deployment, the industry must improve battery runtime, charging speed, energy density and safety.In today’s episode of The Industry…
- Training your first humanoid with AI
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…
- Flexible automation powered by AI
Humanoid robots bring humanlike flexibility while not being limited by human anatomy. Additionally, humanoids combine human compatibility with scalable, software-driven intelligence to unlock flexible automation that fits existing environments while enabling new levels of efficiency.In today’s…
- Humanoids: automation that fits
Humanoid robots are emerging now because technology maturity, workforce needs and economics have all aligned. Combined with labor shortages and lowering costs of materials, advancements in AI, compute, batteries, sensing and digital engineering are pushing these robots into real production…
- The major shift toward humanoids
Humanoid robots are mobile, software-defined robots designed with a human-like body structure. Their key purpose is to operate in environments built for humans. They may be coming to a factory near you.In today’s episode of the Industry Forward podcast, Dale Tutt, Global Vice President of Industry…
- 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 industrial artificial intelligence (industrial AI), this truth has never been more salient.In today’s episode of the Industry…
- The value of process industry AI: shatter the one-size-fits-all myth
There is no industrial 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…
- The 5 best FAIR data secrets to empower process engineers
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…
- How data is the new oil
Data lakes, like oil reservoirs, are filled with vast industrial and economic potential. And much like how we dig for oil, we must wade through data reservoirs to find the hidden AI insights within. Thus, companies without a data strategy have no AI strategy! In today’s episode of the Industry…
- Ontologies: How to make sense of the data explosions in process industries
The new digitalization era of the process industry is burying organizations under a mountain of information. Data, like entropy, is always increasing, but there is no use collecting all these digital records if they drown in obscurity within an abandoned data lake. Industry leaders must learn how…
- What BFSI must do now to prepare for AI
The future of AI in the banking, insurance and financial industry (BFSI) will be driven not just by technology, but by trusted data, strong governance and pragmatic execution. Institutions that build solid data foundations and focus on achievable AI use cases are most likely to realize meaningful…
- The foundation of financial AI: data, governance and trust
Financial institutions have historically been early adopters of technologies such as analytics, machine learning, and AI. However, many organizations are burdened by large, complex legacy systems and strict regulatory requirements, which can slow modernization efforts. Before organizations can…
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