Key Findings- Manufacturers recognize that they need more collaboration and ecosystem engagement APIs that face employees, as well as customers and market stakeholders.
- Success of Internet of Things (IoT) projects is unpredictable due to absent or ill-defined - key performance indicators (KPIs), primarily in the planning phase and in continuous measure of value generation.
- Multimodal communications continue to evolve; internal and external interactions with chatbots and virtual agents will facilitate the exchange of information and data.
- 3D printing continues to advance in affordability, as well as capability, enabling a viable alternative for lower-volume production, specialized local products and special designs.
- The potential of blockchain technology is undervalued.
RecommendationsCIOs advancing digitalization in manufacturing industries should:
- Cultivate a culture of change and innovation by collaborating with internal and external partners and stakeholders, embracing missteps as bridges to future success.
- Identify key metrics that influence organizational goals. Begin by identifying key enablers and disruptions known to impact results; then identify ways to measure performance and impact.
- Develop data governance, privacy and security frameworks to embrace virtual agents by implementing adaptive data governance processes.
- Identify opportunities where 3D printing can satisfy or improve a superior customer experience (such as consumer-designed customization) or production efficiency (such as spare parts) by identifying gaps in your product offering and maintenance efficiency.
- Build up blockchain competencies and POCs by collaboration with partners (enterprises and IoT providers) and consortia to evaluate the blockchain potential for Industrie 4.0 application areas.
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Gartner: Predicts 2018: Industrie 4.0 and Advanced Manufacturing, Bettina Tratz-Ryan, Alexander Hoeppe, Pete Basiliere, 9 April 2018.