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Using End-to-End Visibility to Scale and Streamline Automotive Production

Planview

The traditional paradigms of automotive manufacturing are evolving, driven by the imperative to integrate cutting-edge software solutions seamlessly with hardware production. As automotive companies navigate this transformative landscape , the need for end-to-end visibility in production processes becomes increasingly evident.

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Navigating Technical Debt in the Automotive Industry

Planview

Amidst the relentless waves of innovation and competition, OEMs, suppliers, and manufacturers in the automotive industry navigate a sea of challenges and opportunities. These challenges underscore the complexities inherent in managing and evolving the technological framework of automotive software.

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Trends & Technologies Shaping The Future Of The Automotive Industry

ITONICS

As outlined in our Where to Play 2021+ Report and the subsequent Masterclasses on our COFIM methodology, the end-to-end innovation process requires a thorough, intentional environmental scanning process.

Trends 69
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Balancing your innovation portfolio: Does the 70-20-10 rule still apply?

Idea to Value

The best research I have come across to answer this was done by Innovation Leader ‘s Benchmarking Innovation Impact 2018 report. Fascinatingly, the report goes into much more detail about the different innovation portfolio mixes in different industries, as shown in this table: Innovation portfolio mixes across various industries.

Project 284
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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. Most frequently this data is used to provide variants of a vehicle’s health report.

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The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. Most frequently this data is used to provide variants of a vehicle’s health report.

article thumbnail

The Automotive Industry’s Big Data Challenge (Part 1)

Corporate Innovation

In this two-part series, we will discuss the big data challenge facing the automotive industry. Information in EAC+MS implies big data and incumbents in the automotive ecosystem must become serious about big data. Most frequently this data is used to provide variants of a vehicle’s health report.