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Editor's Pick (1 - 4 of 8)
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Digitalizing Engineering and Commerce

Gabriel Low, VP Business Transformation and M&A Projects (Asia) / CFO, Weidmuller PTE Ltd

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Gabriel Low, VP Business Transformation and M&A Projects (Asia) / CFO, Weidmuller PTE Ltd

Ask any accountant eight years ago about IoT, blockchain, big data analytics, machine learning, and AI. The first reaction would probably be a blank stare. Fast forward to 2019, and such terms have become everyday words. We are seeing the transformational effect of it, in everything we do. Such technologies will set to take a new leap with the convergence of endpoint sensors, cutting edge connectivity and real-time 5g networks. We either embrace it or risk losing the cost and efficiency advantage to others who are quick to harness its power.

Big data analytics

More and more companies are harnessing the power of big data to analyze trends, not just for statistical information but for transformational decision making. The ability to leverage data from many different sources and build correlations between such data enables companies to draw conclusions beyond that available from clunky single dimensional ERP systems. As an example, factories can collect data from different data points in the manufacturing process by tapping on the input and output of different machines. Correlating production and productivity data can identify bottlenecks or abnormal performance. I see conglomerates with many remote factories processing agricultural products collecting data from sensors on machines in unreachable parts of countries. The analyses and matching of such data across plants could pre-empt potential breakdowns, spot inefficiencies or abnormalities in different plants. Energy companies could reroute capacity more efficiently across its grids. Big data will set to take a new leap with the convergence of the technologies mentioned above.

AI and Machine Learning

AI is not new, and we will all recall the Kasparov match with Deep Blue. What’s changed is the rapidrate of change in recent years. We are now seeing the emergence of AI that is making decisions in away that it is almost indistinguishable from humans. In the legal profession, AI robots are writing custom agreements, collating case precedents and matching of lawyers to client needs. In Holland private court / arbitration judgments are delivered by AI.AI plays a major part in robotic process automation and machine learning by teaching itself from past actions.
In commerce, AI is learning from itself to improve the outcome when a similar occurrence occurs in the future. AI is known to also write analyses and annual reports that are superior to that of humans!

We could potentially see a new wave of shared services hubs sited in such knowledge hubs run not by humans, but robots

Shared services 3.0: The next shared services revolution will reverse the first

There has been a painful shift of repetitive jobs in high-cost countries to low labor cost countries with the onset of the shared services craze of 15 years ago. This labor arbitrage has left many casualties in high-cost countries and benefitted others. The price to pay was the off shoring of internal capabilities, national data, and money flows. The next wave is coming that will see the sunset of such human processing factories in other countries. This new wave will be the onset of robots, machine learning, and systems that will be able to process such repetitive tasks 24/7 automatically in place of human processes. Countries like Singapore and Malaysia are well placed to lead the development of such SSC 3.0 factories, with the know-how, creativity, and technological capabilities. We could potentially see a new wave of shared services hubs sited in such knowledge hubs run not by humans, but robots.

Regaining a nation’s competitive edge

Taking this a step further – compact labor constrained jurisdictions, such as Hong Kong and Singapore could potentially benefit from “a cross-platform – cross- company” national supply chain systems. Such a nationwide network system could potentially eliminate the repetition of data processing and delivery validation by vendor and customer companies by passing invoicing data across a common exchange system to each other, regardless of the ERP platform. Singapore successfully pioneered the tradenet system for customs clearing over 25 years ago and is well placed to bring such a nationwide network system to fruition. I have mentioned before, that SME’s within such an ecosystem could potentially regain its competitive edge, by eliminating expensive, hard to find labor for such processing, which large companies solve by off shoring.

The Blockchain is transforming trade

It should now be clear that the blockchain is not synonymous with e-currencies, but provides the backbone for things like e-currencies, smart contracts, and international trade documentation. The power of blockchain to transform international trade and commerce has made a lot of headway with much more to come. I see a point in the near future where each online person could have a “blockchain” ID. The benefits of the blockchain are to enable the electronic exchange of documents and data between validated “signed” users. Delivery of shipping documents across countries by hand could be eliminated. The issuance of insurance policies and claims need not be in hard copies anymore and replaced by smart contracts “witnessed in the blockchain”. Sensitive drawings could be delivered to 3D printing machines across the globe for quick delivery of products.

Joining the dots – Sensors and connectivity

We cannot forget that such transformative power is not all in the IT space but requires further hardware advancements of smart sensors, PLCs, smart industrial connectivity and communication devices to deliver the data from source to the cloud, bypassing the need for local control centers. This is the space that engineering companies like Weidmuller are leading in.

Are we ready for this change?

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Big Data

Machine Learning

IoT

3D Printing

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