Knowledge Box and Model Factories – the future of Irish high tech manufacturing

By Paul Acton, SAS Ireland

The proposed Knowledge Box scheme will be another feather in the cap of Ireland’s advanced tech players, many of which compete within their global networks to win lucrative manufacturing contracts. But a 6.25% tax rate on managing IP assets can only do so much to secure Ireland’s place as the home of next generation manufacturing. With the cost of advanced tech production line errors often reaching tens of millions of euro, local firms must also be able to offer the most cutting-edge safeguards against unexpected manufacturing flaws.

For many advanced technology manufacturers, this means having a number of sophisticated analytical models in place to monitor the production line and look for flaws. In advanced technology this can be anything from minuscule chemical deposits to indiscernible changes in environment variables such as light or heat. Alerts then enable technicians to act quickly to rectify the situation, ideally early enough in the production cycle to avoid huge waste or disruption.

But, while the analytical models are monitoring the production line, who is monitoring the models? How often are degraded models refreshed? How quickly can models be updated to include new variables? And, as the pace of innovation and new products gets faster, can the existing models detect issues that are not yet known or understood?

Unfortunately, the existing approach to deploying, developing and monitoring models is often outdated. Degraded models are not spotted immediately, and refreshed models – updated to include new variables – can take weeks or even months to develop and deploy. The risk here is that flaws or potentially disastrous issues are not spotted early, for example in week two of a production cycle, and only become apparent when an expensive batch of the defective end product is produced.

To avoid this risk, organisations need a productionised, automated ‘model factory’ approach that includes ongoing monitoring and enhancing of models. That way, degraded or out-of-date models can be quickly updated, rather than being left running for months. And, with the fast pace of innovation and new product development, they need to use sophisticated predictive analytics to not only quickly identify known flaws and their potential impact but also look through millions of lines of data for relationships that will uncover new and unexpected issues.

A best practice, predictive analytics model factory would reduce the amount of risk in the production line through:

  • Efficient development: eliminating redundant steps
  • Faster deployment: with automated workflows
  • Real-time scoring: with in-database processing and no need for batches of data
  • Active monitoring and management of models: to enable continuous improvement

Irish arms of global businesses are already in a fantastic place to win the contracts for next generation manufacturing. A great tax environment and a skilled talent pool are just two reasons. And, in a competitive global market, getting the most advanced safeguards for the production line is another way of weighting the decision in Ireland’s favour.

To find out more about the SAS Predictive Analytics Model Factory, download our White Paper Manage the Analytical Life Cycle for Continuous Innovation. Or follow SAS Ireland on Twitter or LinkedIn to get more news and insight on how a better approach to data can help your business.

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