Demand for new technologies like electrification, autonomous drive and connectivity have introduced new transformational challenges for the industry. At the same time, in an already extremely competitive environment with global players, efficiency in operations is imperative.
ISEA’s experts carry a long experience from working with OEM:s from commercial vehicles and cars on everything from product strategy, product development , industrialisation sales and aftermarket. Our cross-functional and cross-industry expertise provides a complete perspective on decisions to be made, and the lessons learned from executive positions provide valuable input to clients, especially during the execution of large operational initiatives.
Combining Data Privacy & Machine Learning
The development of computing capabilities during the last decades has enabled organizations to gather and process large amount of data using advanced machine learning techniques. At the same time, there has been an increased focus on data privacy creating new challenges for businesses which aims to deploy machine learning models.
The importance of data
As the number of connected devices is exploding, the amount of data is expected to grow exponentially in the coming years. Companies are fighting to collect and structure this data to be able to understand the world and predict the future. In many ways, data is driving future innovation with use cases such as fraud detection, autonomous driving, and cancer diagnostics.
Gain Efficiencies by Product Variant Strategies
When companies extend offerings through product variants, they will face increasing costs and related challenges as the portfolio grows in complexity. Concurrently, variants generate deep customer value and justify higher price points, where mitigation strategies will enable improved lead times and profits gains...
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