Bridging Silos and Wayfinding New Arts of the Possible: A Guide to Transformation for Operations
Fujitsu / February 6, 2025
This century started with the dot com boom and the economic promise of globalization. Twenty-five years in, the business world is bracing itself to deal with the disruptive wave of the AI boom, economic uncertainties caused by geo-political tensions, and potential supply chain disruptions. Meanwhile, the urgency of social issues such as climate change and sustainability of the environment, continue to weigh in, with the younger generations keenly watching and judging corporate accountability for their actions.
Pioneering organizations understand the importance of technology and innovation to contribute to a more sustainable and equitable future, while at the same time enhancing their own efficiency and competitiveness to survive in this challenging environment. In fact, over the next three years, around 80% of organisations already aim to use AI for complex decision-making, including the enhancement of product and service functions, and management decision support, both previously difficult to achieve with AI.* Furthermore, business leaders believe that people will increasingly use AI to unlock their creativity and enhance their productivity, paving a future where people view AI as their trusted assistant.
However, technology initiatives of many organizations towards Digital Transformation (DX) and Sustainability Transformation (SX) are often hindered by implementation challenges. This blog aims to guide enterprises looking to adopt cutting-edge technologies such as AI, blockchain, and quantum computing for DX and SX, with practical advice on how to break down silos, overcome disruptions, and foster collaboration, in order to realize transformative operational change.
*Fujitsu in partnership with Oxford Economics survey data, 2024.
Breaking down silos and barriers to transformation
Overcoming internal and external disruptions
- Legacy systems: Outdated systems can hinder innovation and operational efficiency.
- Lack of data visibility: Limited access to real-time data could make it difficult to make informed decisions.
- Shareholder and board demands/pressure: The board’s focus on increasing revenues, decreasing costs, decreasing risks, and improving shareholder value, could at times come at odds with the cost-benefit ratio of new technology adoption, particularly in a short time period.
- Global supply chain volatility: Disruptions such as pandemics and geopolitical tensions can negatively impact supply chains; we don’t see these risks disappearing in 2025.
- Changing customer expectations: Customers today demand faster delivery times and greater transparency.
- Competition: All companies are constantly looking for ways to improve efficiency and reduce costs.
Greenfield vs Brownfield
Stop thinking about the box – Inspiring examples from successful organizations
- Low carbon energy traceability: Low carbon energy sources contribute towards sustainability. Organizations adopting low carbon energy need strong transparency to elicit trust from customers. Blockchain technology, by virtue of its immutable data storage and public verifiability of the distributed ledger, is ideal to ensure traceability and certification of low carbon energy, leading to strong transparency.
- Supply chain efficiency: Botanical Water Technologies and Tex Tracer are inspirational examples of organizations using technologies such as Blockchain and AI to create new ways to manage supply chains more sustainably with increased transparency and efficiency.
- Reducing insurance fraud: Blockchain can be used to create smart contracts, which can automate insurance claims and reduce fraud.
- Space debris cleaning: The UK Space Agency offers another inspiring example of innovative out-of-box thinking. Quantum-inspired computing using the Digital Annealer helps optimize the most efficient route for the satellites to minimize fuel consumption and time required to complete the multi-site debris cleaning operation.
- Sustainable Forestry – Skogforsk's use of remote-controlled autonomous forest machines improves operational efficiency and provides a safer working environment for machine operators.
- Optimising shop operations and energy use – Toridoll Holdings relies on more precise, AI-based Demand forecasting to accurately predict number of customers by shop and time of day. This not only improves operational efficiency, but also minimizes food waste and reduces energy use.
- Medicines to market faster: Automation has been instrumental in supporting Pfizer CentreOne in bringing medicines to market faster, enhancing their speed of innovation.
Proactive Innovation
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