A breakthrough in 3D technology is helping to improve women’s breast health, specifically early signs of breast cancer. There is a new 3D mammogram technology that may find cancers earlier, with a lower percentage of false positives being detected, Hologic CEO Steve MacMillan said. Hologic, a medical technology company, provides machines in hospitals across the country with these advanced breast screening processes in order to detect cancer earlier. The reduction in false positives has led to fewer biopsies for women who don’t actually need them, saving them costs and worry.

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Legacy Enterprise Resource Planning (ERP) systems aren’t delivering what digital business models need today to scale and grow because of the constant customization in recent years. What they need is Cloud based ERP systems to handle the load so companies can respond quickly to immediate needs with smart decisions for new digital business models to succeed. By integrating Artificial Intelligence (AI) and machine learning into their platforms, Cloud ERP providers can fill the gap legacy ERP systems simply can’t. Cloud platforms provide more integration options and more flexibility to customize applications and better usability.

Here are 10 ways to improve Cloud ERP with AI and machine learning, and bridging the information gap with legacy ERP systems:

1. Cloud ERP platforms need to create and strengthen a self-learning knowledge system that orchestrates AI and machine learning from the shop floor to the top floor and across supplier networks.
2. Virtual agents have the potential to redefine many areas of manufacturing operations, from pick-by-voice systems to advanced diagnostics.
3. Design in the Internet of Things (IoT) support at the data structure level to realize quick wins as data collection pilots go live and scale.
4. AI and machine learning can provide insights into how Overall Equipment Effectiveness (OEE) can be improved that aren’t apparent today.
5. Designing machine learning algorithms into track-and-traceability to predict which lots from which suppliers are most likely to be of the highest or lowest quality.
6. Cloud ERP providers need to pay attention to how they can help close the configuration gap that exists between PLM, CAD, ERP and CRM systems by using AI and machine learning.
7. Improving demand forecasting accuracy and enabling better collaboration with suppliers based on insights from machine learning-based predictive models is attainable with higher quality data.
8. Reducing equipment breakdowns and increasing asset utilization by analyzing machine-level data to determine when a given part needs to be replaced.
9. Implementing self-learning algorithms that use production incident reports to predict production problems on assembly lines needs to happen in Cloud ERP platforms.
10. Improving product quality by having machine learning algorithms aggregate, analyze and continually learn from supplier inspection, quality control, Return Material Authorization (RMA) and product failure data.

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Technology, though not yet fully groundbreaking, has influenced your healthcare experience. Here are some areas which technology has impacted healthcare.

• Remote examinations: previous examinations involved face-to-face interaction. Patients can now speak to their physician over the internet, including video calls to show any visible symptoms to their doctor.
• 3D Printing: 3D printing is the real game changer, printing everything from synthetic skin to prosthetics.
• Smartphone monitoring: real-time monitoring of symptoms through the use of smartphones and wearables provide immediate results, which in some cases like monitoring heart rates might save a life.
• The ability for physicians to share data: Through the cloud and other means. All information can easily be accessed by those that require it, and this again reduces the amount of time physicians are “wasting” on admin tasks.

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Infor recently announced that the Dubai-based carpet backing systems company Mattex Group has selected Infor solutions for the firm’s digital transformation journey. Mattex will adopt Infor CloudSuite to simplify complex processes, workflows, and systems. The firm will also adopt Birst Business Intelligence Solutions to improve reporting and take advantage of a modern, rich, end-to-end business intelligence suite in the cloud. As part of a global implementation of Infor CloudSuite HCM that includes the Middle East and North America, Mattex wants to improve operational efficiency and optimize their talent management process from recruitment to retirement. These solution will run on Infor OS technology that include ION™ and the Infor Ming.le™ user experience to boost efficiency and drive user productivity. Mattex chose Infor over Microsoft and SAP for its SaaS project because they are confident that Infor’s purpose-built, cloud-based solutions will help Mattex scale its operations for future growth.

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