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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos

Manufacturing in a new automotive landscape

Sponsored by Siemens

Manufacturing in a new automotive landscape

What does the future of automotive manufacturing hold?

In this Future Car podcast, Nand Kochhar, VP of Automotive and Transportation Industries at Siemens Digital Industries Software, shares some of the challenges that are emerging as the auto manufacturing landscape shifts and what that means for manufacturing processes and facilities at the OEM and tier 1-supplier level.

Listen below or on Siemens.com.

Additional Resources

Drive production excellence with intelligent manufacturing

The automotive industry is facing unprecedented challenges, with rapid change and intense pressure to meet the demands of climate change, regulations, and consumers. Download Now

Meet today’s automotive manufacturing challenges with digitalization

Learn how recent advances in computing power, speed, internet connectivity, and evolutionary technology have accelerated the automotive industry’s digital transformation to a new level. Watch Now

Virtual Manufacturing Development for the Automotive Industry

Companies in the automotive industry are pushing to develop the next generation of autonomous, electric, connected, and shared vehicles. View Now

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

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