Infor Announces Partnership with Syntellis Performance Solutions

Infor recently announced a new partnership with Syntellis™ Performance Solutions, the leading provider of enterprise performance management (EPM) software, data and intelligence solutions. Per the press release, this partnership will provide Infor’s healthcare customers access to Syntellis’ Axiom Healthcare Suite of intelligent planning and performance solutions, giving users robust EPM tools and the market’s largest, most timely data-driven insights designed to improve cost of care and operational outcomes for their organizations. North American healthcare providers can better leverage their clinical and operational data’s value, improve patient outcomes, and monitor and enhance financial performance. Additionally, Infor and Syntellis will collaborate on future integrations to further help hospitals and health systems streamline data transfer and analysis for greater efficiency and optimized financial, clinical, and operational performance. The synergy between Infor’s Healthcare Operations Platform and Syntellis’ Axiom healthcare cloud solutions will empower healthcare organizations to make more informed, data-driven decisions.

 

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LBI Error – ReportSDKEnterpriseLogonException

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Problem: We are not able to view any of the reports in LBI on production.

The error is

ReportSDKEnterpriseLogonException: Unable to log on: Could not connect to server. I have verified IBM and CRAS are running.

Users are getting the following error when opening a LBI Report:

 

You should check the system.out log for errors:

000001dd SystemOut O ERROR – RequestHandlerServlet caught ERSException: Exception starting RAS session: com.crystaldecisions.sdk.occa.report.lib.ReportSDKEnterpriseLogonException: Unable to log on: Could not connect to server USLAWLBI01.care.org. Please check that the server name is correct, and that the server is running.
—- Error code:-2147217397 [CRSDK00000000] Error code name:enterpriseLogonFailed

 

Based on the error from the log, go to CRAS Properties, in Central Configuration Manager and verify  the RAS server name.

If you found out that it was set to localhost, it needs to be changed.

 

Stop RAS, change the server name from localhost to USLAWLBI01.

– Went to Parameters Tab > Server > changed Report directory to * and Add temp directory

Start CRAS

Verify that you can now run the reports

Confluence Health Leans on Infor AI to Better Care for its Communities

Confluence Health, an integrated healthcare delivery system in north-central Washington, recently announced their successful implementation of critical artificial intelligence solutions from Infor to accelerate business innovation and improve care for the communities it serves. The healthcare system has been able to execute key supply management processes faster, and improve staff experiences and productivity. Per the press release, AI-driven software automation has enabled Confluence Health to conduct key supply management processes at least 90% faster, and reduce time to execute from hours to minutes and minutes to seconds. Specifically, Infor’s Coleman Digital Assistant has improved employee satisfaction by alleviating the pain and anxiety the staff experiences when trying to locate supplies in a timely manner. Additionally, implementing Infor’s cloud-based healthcare solutions, built on Amazon Web Services® (AWS), has helped Confluence Health quickly adopt new processes, establish a new system of record, and implement new reporting capabilities that can adapt to future demands and growth.

 

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Run a network trace on a Lawson issue WITHOUT fiddler

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Lawson issue not showing in the logs? This is how you would run a network trace WITHOUT fiddler.

 

Using Google Chrome.

  1. Open Chrome, open a new tab and press CTRL-SHIFT-I.
  2. On the Network tab, ensure the circle in top-left corner is red. CTRL-E toggles tracing on/off.
  3. Duplicate the issue.
  4. Right-click on any of the http sessions, and select “Save as HAR with content”.
  5. Save the file to your desktop, and upload the file to the support incident.
  6. Send file to your Lawson support consultant.

Chrome Example screenshot below:

Using Microsoft Edge Chromium

  1. Open Edge and Press “F12” to open IE Developer Tools.
  2. On the Network tab, ensure there is a red circle in the top-left corner. If you see the green “play” button, click it to start recording.
  3. Duplicate the Issue.
  4. Click on the “Export HAR” icon to save traffic to a .har file.
  5. Send file to your Lawson support consultant.

 

Edge Example Screenshot:

This is sometimes daunting for users to perform on their own so a trained Lawson professional is ideal to assist via a remote meeting like Zoom or Teams.

Organizations often have trouble staffing Lawson professionals (or they’re spread thin) and alternatively go with teams of Lawson consultants who offer managed services at a fixed rate. This can help larger organizations who have daily user issues and need a team of trained Lawson professionals to assist.

Amazon launches AWS Private 5G

The ever growing giant that is Amazon recently launched a new service in their AWS (Amazon Web Services) division – AWS Private 5G. According to senior writer Paul Sawers at TechCrunch, “AWS has launched a new service designed to help companies deploy their own private 5G networks — eventually, at least.” This means that despite it’s name, AWS Private 5G currently only supports 4G LTE today, with the intentions to support 5G in the future. Sawers notes in terms of costs, it will be similar to their current structure. AWS charges $10 per hour for each radio unit it installs, with each radio supporting speeds of 150 Mbps across up to 100 SIMs (i.e. individual devices). AWS will bill for all data that transfers outwards to the internet, charged at Amazon’s usual EC2 (Elastic Compute Cloud) rates.

There is no doubt that 5G is the future of connectivity and it will only get better from there. But public 5G, which is what most consumers use with their compatible devices, have limited coverage and the bandwidth may be shared by million of users. With a private 5G, which AWS is offering, Sawers explains that it “uses Citizen Broadband Radio Service (CBRS), a shared 3.5 GHz wireless spectrum that the Federal Communications Commission (FCC) authorized in early 2020 for use in commercial environments, as it had previously been reserved for the Department of Defense (DoD). So this update essentially opened CBRS to myriad use-cases, including businesses looking to build new 5G services, or extend existing 4G/LTE services.” This is the key component, he says, of the new AWS private 5G service — it’s fully-integrated into the SAS administration process, with AWS managing everything on behalf of the customer, including taking on responsibility for interference issues among other troubleshooting tidbits relating to spectrum access. It may be some time, however, before the actual 5G service will be offered by AWS, but the platform launch hopes to serve as a promise for the future deployment of the service.

 

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Lely Optimizes Cloud Environment with Infor

Infor recently announced that Lely has deployed its Infor CloudSuite Equipment enterprise resource planning (ERP) solution to enhance growth and innovation in its production of milking robotics. The Dutch family-owned company since 1948 designs and manufactures automated systems for dairy farmers around the world to enable them to excel in sustainable milk production to feed the world. Per the press release, Infor’s cloud-based ERP, powered by Amazon Web Services (AWS), will help Lely increase flexibility to support innovation in milking robotics. Knowing that the agricultural world is changing, automation and robotics allow agricultural entrepreneurs to perform simple analyses such as monitoring their livestock and increase productivity. The Infor CloudSuite application supports the necessary flexibility for Lely to stay relevant in this industry. Further, in the next phase of the implementation, Infor’s cloud-based application will be deployed in the other countries where Lely is active in 2022 and 2023. The focus is to improve the supply chain and financial processes.

 

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Compiling an entire product line in Lawson Interface Desktop and speeding up the process

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Often when you install a patch into Lawson, you want to ensure all forms run the next day without issues. This is especially important with larger patches that affect dozens of Lawson forms and or when a new db dictionary is created.

 

This is easily done through the cobcmp command.

 

When you run the cobcmp command, it will run through a list of all Lawson forms.

 

Once this is done, you can check its process by using this command: qstatus | head -5

This command will show you the amount of forms left to compile.

 

If you want to speed up this process, you can increase the amount of compile jobs running.

In LID this is done with this command: qcontrol -jlocal,4

 

This increases your job count to 4 (default is 2)

If your server only has 2 cores, it is recommended to keep it at the default 2.

 

I’d only increase the compile job count to one less than the maximum amount of cores your server has so you don’t overload other processes.

 

Once done compiling, it is recommended to change the job count back to 2, or: qcontrol -jlocal,2

 

Infor is moving away from their traditional CTP method of apply patches (as of 2022) and moving towards the new DSP standard. It is still recommended to recompile programs when they act up or after patches.

We recommend organizations look into hiring a Lawson consultant team who offer managed services at a fixed monthly rate. These Lawson teams have a wider range of expertise and knowledge and are ideal for larger organizations but also are great for smaller ones that don’t need a dedicated Lawson employee on-site.

Q&L Industrial Services to Support Logistics Processes with Infor

Infor recently announced of Q&L Industrial Services, a third-party logistics (3PL) provider headquartered in Slovakia, decision to migrating to the Infor WMS warehouse management cloud solution to improve performance of stock operations. The company expects the new system to provide additional benefits in speed and accuracy for its customers. Per the press release, the Infor cloud solution will provide a complete, functional system with faster implementation and time to value. Plans for the initial go-live of Infor WMS for Q&L is scheduled mid-summer. Additionally,  the next big warehouse deployment will follow in the autumn. Further, Infor WMS will cover all processes from receiving and put-away to picking, loading, and shipping. The company also is going to integrate Infor WMS with its AGV (automated guided vehicles) systems.

 

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Lawson Mingle Sign-On Error

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Problem: A user in your organization is getting this error when selecting a Lawson chiclet through Okta or a Mingle URL but their Lawson and Mingle security is setup correctly along with their identity information. See below for the fix.

 

Example of the error below:

  1. Verify the user is setup correctly in Lawson with the correct identities and Mingle security roles required.
  2. Make sure your organizations Windows team filled in the correct Active Directory email address for the user.
  3. Have the user clear their browser cache and attempt to access the Mingle via URL or Lawson chiclet app (if using Okta etc.)

That’s it! This is a common issue when ticketing system workflows (like Service Now) are processed out of order and the user’s Lawson account gets created before the Windows team fully sets up their AD account.

Implementing AI? You’d Better Think About Security First

Though it’s been around for decades, artificial intelligence (AI) has made itself known in today’s digital space. From marketing programs to laboratories, AI has made an impact in every industry. Whiles this technology could help your business run smoother, there is so much to learn and prepare for before even thinking of implementation. Machine learning (ML), the most common form of AI, is the process of training a machine to make future predictions based on historical data. What makes AI and ML so unique is the adaptability and learning. However, Machine learning doesn’t learn like a human. Stephanie Domas, Forbes Technology council member and Chief Security Technology Strategist at Intel, differentiates machine learning and human learning like this: We’re taught to identify holistically and with supporting context: A stop sign is red, hexagonal and has white letters on it. In contrast, AI is simply given large sets of labeled training data and told to figure out on its own how to differentiate; we don’t tell it how to learn. For the stop sign, the AI learned that black and white in certain areas meant different signs. The black and white perturbations on the stop sign lined up with patterns of black and white blocks on a “Speed Limit 45” sign. Thus, the AI learns that this is a speed limit sign. This technological advancement learns in a more complex process. There is so much to consider with the data input and analysis when it comes to machine learning and artificial intelligence. Domas shares an article in Forbes that emphasizes the security risks and know-hows when implementing an AI. She notes the importance of understanding the potential cybersecurity risks of AI so you can responsibly approach the adoption of AI.

  • Keep humans in the loop. “AI should augment human intelligence, not replace it. Human judgment is needed to ensure proper training, detect anomalies and make course corrections if something is wrong with the model.”
  • Understand the risks. “What happens if the AI is wrong—is it a funny story, or could people potentially be harmed? The risks involved with implementing AI ultimately depend on what the AI is meant to do and what kinds of data and systems it has access to.”
  • Plan for model testing and maintenance. “Just like other forms of software, AI algorithms need to be updated and patched. Algorithms should be continually tested and updated whenever new threats are detected or the model is not performing as expected.”
  • Ask the right questions. “If you are buying an off-the-shelf AI, make sure you keep cybersecurity in mind and ask the right questions when purchasing. How was the model trained? What is it meant to do? How was it tested? What is the company’s plan for ongoing testing and maintenance?”

There is a learning curve for both you and your AI. So before you use AI to solve your business problems, Domas reminds us to be deliberate, be intentional and be responsible.

 

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