Though Industry 4.0 is gathering momentum globally, however the pace of industry adoption remains unsteady across industries. Lack of a systematic road-map and clear understanding on digital maturity of an enterprise are the biggest challenges in adoption of Industry 4.0. The industry is still seeking a well-defined agenda on what is Industry 4.0 and the probable gap in industry transformation. NASSCOM Research recently conducted a webinar with eminent panellists discussing on the key aspects of adopting emerging technologies to harness the full potential of a transition. The Indian start-ups emerging at the industrial front is also a driving factor redrafting the Industry 4.0 blueprint, hence these start-ups showcased their innovative solutions in the area of Computer Vision Systems, Inter of Things & Sensors (IoT)and 3D Printing.
The Key Takeaways from the Panel:
- Demystifying Industry 4.0 – Defining perspectives; evolution of machines to intelligent machines playing a pivotal role in the industrial space
- Creating a frugal ecosystem to start utilising emerging technologies and Industry 4.0 compliant.
- Transformation of business through IoT/Connected devices aligned to product-as-service
- A gradual process of identifying strategies in adoption of technologies; Understanding the digital maturity; Focus on pilot projects and charting the scope of the business; Define capabilities and talent; Data strategy. A well-defined draft on how to transform into a digital enterprise
- Manufacturing lead-time is a significant aspect which has emerged with time
- Data Accuracy – Though tons of data is emerging from an end-to-end value chain, real-time data availability is still less and data privacy remains a challenge
- The predictive insights in building a relevant business case for the end customers poses a concern
The Key Takeaways from the Start-ups:
- The start-ups in the industrial space are speeding up the adoption process and helping in scaling the business
- Digitisation is opening new revenue streams, enhancing business models
- Potential use cases and deployments addressing complexities through indigenous carbon fiber 3D printer
- Computer vision systems through multi-spectral cameras and image sensing systems to do anomaly detection
- Use cases focusing on specialised supply chains, manifestation of cold chain
The Q&A session from the audience highlighted the concerns on adoption issues to Industry 4.0, PoC, deployment of Industry 4.0 by OEMs, role of Artificial Intelligence (AI) and Machine Learning (ML).
Here is the link to the webinar: https://register.gotowebinar.com/recording/6376875374518665985