Customer Relationship Management (CRM) systems have the ability to collect massive amounts of data to improve customer service and communication. However, CRMs were not built to be nimble. Times change, and technology indeed changes a lot of human experiences. Applying artificial intelligence (AI) to CRMs can make personalization more efficient and effective for both the customer and business. Though not every business is embracing new technologies like AI to get the most of their CRM programs. CRMs will continue to collect data for you, but without adapting to current times, there are a few things your CRM program might not be telling you.

  1. Siloed data is STILL an issue.
  2. More content is NOT better.
  3. Not everyone uses technology the same way.
  4. Listening, not talking, is the most important step in understanding data needs.

CRMs need to always pay attention to their customers to remain effective. Innovating technologies such as AI with CRMs can be even more powerful.

 

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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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Infor and eLearning provider OpenSesame Inc. have expanded their partnership (formed in 2015). With this renewal, customers of Infor LMS will gain access to the full OpenSeame elearning catalog of more than 20,000 courses, directly through the Infor LMS interface via web browser and mobile devices. Customers using the Infor Learning Management Content Creator can also create and deliver enterprise specific courses through a variety of industries. Training is becoming increasingly important for talent retention and the renewal of this agreement is important. Elliot Golden, product manager, Infor said of the ongoing partnership, “Between the Infor Customer Success team’s combined years of expertise implementing and executing corporate learning and OpenSesame’s curated eLearning course offering, our customers will get the service and results they expect from two closely-aligned strategic partners.”

 

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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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Watami Co., Ltd., a food services company operating over 1,000 restaurants and meal delivery outlets throughout Japan and neighboring Asian counties has selected Infor CloudSuite Food & Beverage as its global supply chain management platform. With this partnership, Watami plans to utilize group operations and drive the implementation of its vertical integration model for managing all processes from food production to logistics and sales. The company is shifting focus on enhancing its financial structure through Merchandising (MD) Reform and reconstruction of their supply chain management (SCM) platform. Infor CloudSuite Food & Beverage’s flexibility, customization and support is the perfect Enterprise Resource Planning (ERP) suite for this change. Additionally, the highly-reliable Amazon Web Services (AWS) platform through a subscription model will greatly reduce IT investment costs. Watami is currently in the process of migrating its existing systems to Infor Cloudsuite Food & Beverage, expecting full-scale operations in late 2019.

 

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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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Today’s technological innovations are helping health care providers to improve the medical field. In addition to quick and efficient service, there are some even permitting physicians to diagnose illnesses with 100-percent accuracy. Newer technologies include:

  • Innovative Imaging Technologies
  • Updated Software and Electronic Health Records (EHRS)
  • Improved Cancer Recovery Resources

Experts suggest that mankind is witnessing the next big evolution technology. Artificial intelligence (AI) especially makes many health care professionals’ work a bit easier when grappling with delivering efficient services while trying to make meaningful use of the latest EHR technologies.

 

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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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Not only is technology changing patient healthcare experience, it is also affecting real estate, according to a new report from Transwestern and IMEG. Because patients can receive medical attention at home more than ever, the usage of medical buildings are serving a different purpose.  Over time, experts predict that medical facilities will be developed at lower-cost sites connected to big data analytics — focusing on urgent care, wellness and telemedicine centers, electronic consults, remote monitoring and the like. Micro-hospitals, where small neighborhood hospitals offer care tailored to the specific needs of the community, will become more relevant. Medical office buildings, meanwhile, won’t disappear. Instead they will shift focus as the prime spot for education, preventive care, and outpatient procedures and surgeries.

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When trying to open IPDesigner, we ran into this error:

 

Opening the log reveals a java.lang.StackOverflowError:

 

This error was fixed by going to (C:\IPDesigner\ADTALEMPRD\workspace\.metadata\.plugins\org.eclipse.ui.workbench)
And removing workbench.xml. We opted to rename it to workbench_old.xml and when we restarted IPDesigner, it generated a new workbench.xml and started working correctly.