Cloud adoption has made systems faster and more scalable — but as a recent article by Archana Choudhary – VP at Deutsche Bank and a recognized PM expert in strategy execution- on CIO.com points out, it hasn’t eliminated one of the biggest risks in modern IT: the ability to recover when something goes seriously wrong. Choudhary argues that many organizations mistake cloud migration for resilience. Dashboards may look healthy and security tools may be in place, but that can create a false sense of safety if there’s no real plan for recovering from a full-scale cyberattack. The key shift in mindset is moving from prevention to recovery. Since no system is fully immune to attacks — especially ransomware — the more important question becomes: how quickly can a business recover, and how safely?
The article highlights how modern attacks often target identities and backup systems, not just networks. Misconfigurations, overly broad access, and compromised credentials can allow attackers to move through cloud environments and even corrupt backups before a ransomware event is triggered. That’s why recovery itself becomes a business-critical KPI. Metrics like RTO (recovery time objective) and RPO (recovery point objective) are often treated as technical details, but in reality they define how much downtime and data loss a business can tolerate. A modern cyber recovery strategy, the article argues, needs isolated recovery environments, immutable backups, clean data validation, automated recovery workflows, and regular testing. The bottom line is simple: cloud gives you availability, but not guaranteed resilience. Without a tested cyber recovery plan, even a well-architected cloud environment can still fail when it matters most.
https://www.nogalis.com/wp-content/uploads/2024/04/data-cyber-security.jpg398600Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-21 12:12:332026-05-20 12:28:06Your cloud strategy is incomplete without a cyber recovery plan
A recent article in Forbes argues that companies are overspending on enterprise resource planning (ERP) systems for a surprisingly simple reason: they’re focused on software pricing instead of long-term value. In this article, author Manish Goyal (Co-Founder of Dynamics Square) explains that ERP overspending rarely comes from the license itself. The bigger issue is how organizations buy, customize, and manage ERP systems over time. Many businesses still estimate for peak usage, over-purchase licenses, and lock into rigid contracts — only to discover later that large portions of the system go underused. The article notes that cloud ERP hasn’t eliminated waste; it has simply changed how waste appears. Instead of large upfront costs, companies now face recurring subscription expenses that can quietly grow year after year without active oversight. Another major cost driver is over-customization. While tailored workflows may seem beneficial initially, heavy customization often increases maintenance complexity, upgrade difficulty, and long-term ownership costs. Rather than focusing solely on negotiating discounts, the article recommends a more value-based approach to ERP. That includes tying licensing to actual business outcomes, adopting modules gradually, reviewing system usage regularly, and building flexibility into contracts. Goyal’s core takeaway is that ERP cost problems are usually caused by misaligned decisions, not expensive software. Organizations that continuously optimize usage and align ERP investments with business goals are far more likely to control costs and improve ROI.
Infor has once again earned a top spot in the warehouse technology space, being named a Leader in the 2026 Gartner® Magic Quadrant™ for Warehouse Management Systems — marking the eighth consecutive year the company has received the recognition. The announcement highlights Infor’s continued push to modernize warehouse operations through cloud-based technology, AI, and automation. Its Warehouse Management System (WMS) platform is designed to help businesses manage increasingly complex fulfillment demands through tools for labor management, inventory tracking, task coordination, and even 3D warehouse visualization — all within a single platform. What stands out most in this year’s announcement is Infor’s growing focus on practical AI applications inside the warehouse. Rather than positioning AI as a future concept, the company is emphasizing measurable operational gains happening today. One example is its Pick Path Optimization capability, which uses AI and machine learning to guide warehouse workers along more efficient picking routes. According to Infor, customers using the feature have seen up to 25% less travel distance and 15% faster picking times — improvements that can significantly impact labor efficiency and fulfillment speed. Vishal Minocha said the recognition reflects Infor’s focus on delivering real operational outcomes rather than innovation for innovation’s sake. The company also continues to expand its use of generative AI, agentic AI, and advanced analytics across supply chain operations. The broader takeaway: warehouse technology is evolving quickly, and companies are increasingly looking for AI tools that produce tangible, day-one value instead of long-term experimentation.
https://www.nogalis.com/wp-content/uploads/2020/03/warehouse-management-storage-logistics.jpg399600Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-18 12:32:192026-05-18 12:32:19Infor named a Leader in 2026 Gartner® Magic Quadrant™ for Warehouse Management Systems
We are having an issue with ADFS SSO login with Lawson and I need someone to pull the updated metadata.
ADFS auto creates a new ‘secondary’ decrypt and signing cert 20 days prior to expiration so on 8/31-ish It then promotes the secondary to primary 5 days later so that would have been today.
Update the ADFS Token-Signing Certificate
When the ADFS Token-Signing certificate is updated on the ADFS server, it will have to be imported to Lawson and Infor OS.
Someone with admin rights on the ADFS instance will need to export the certificate and provide you with the “.cer” file before these tasks can be completed.
Update the Certificate in Lawson
Log onto the Lawson Server
Start a ssoconfig -c session
Export Services
Select Manage Lawson services
Select Export Services and Identity Info
Choose yes, for all services, None for identities and give it a file name
Check the file for the Service ID name and make a note of it
In this case, LSF_ADFS is the service name.
Go to “Manage WS Federation Settings” > “Manage Certificates”
Select “Delete WS Federation Certificate”
Select “Create certificate for “WS Federation”
Select “Delete IdP certificate”
Enter the service name of your ADFS service
Select “Import IdP Certificate”
Enter the service name of your ADFS service
Provide the full path where you have the token-signing certificate saved
Verify External Portal work (goes through ADFS)
Update the Certificate in Infor OS
Log into the Infor OS server as the LAWSON user
go to STSAdminUI
Click on idP Connections
click on Edit
Scroll down and you will see that the signing cert has changed
Go back to the top and click on the world
Enter the URL that Admin provided and click on OK
Click on save
Now test your connections
https://www.nogalis.com/wp-content/uploads/2026/05/How-to-Update-the-ADFS-Token-Signing-Certificate.jpg470470Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-15 08:21:142026-05-08 11:33:50How to Update the ADFS Token-Signing Certificate
Infor is betting that the future of enterprise AI isn’t just about smarter tools — it’s about delivering measurable business outcomes. In a recent Press Release, Infor unveiled expanded capabilities across its Velocity Suite and introduced an enhanced version of its Agentic Orchestrator, both aimed at helping companies move beyond AI pilots and into real-world scale. The timing makes sense. According to Infor’s new Enterprise AI Adoption Impact Index, nearly half of organizations are still stuck in the early stages of AI deployment, despite 80% of business leaders saying they feel capable of managing AI implementations. The biggest blockers? Data security and compliance concerns, lack of internal AI talent, and uncertainty around ROI.
Infor’s answer is a more industry-specific approach to AI. CEO Kevin Samuelson emphasized that AI agents need deep operational context to be effective — a healthcare purchasing agent shouldn’t behave the same way as one built for manufacturing. The updated Velocity Suite now includes industry-focused AI agents, prebuilt automation libraries, curated AI use-case packs, and managed services support after deployment. Infor also highlighted a new warehouse optimization tool that reportedly reduced travel distance by up to 25% for some customers.
Meanwhile, the enhanced Agentic Orchestrator is designed to coordinate complex AI workflows across systems while maintaining transparency and human oversight. New capabilities focus on orchestration, interoperability, and observability — key concerns for enterprises trying to trust AI with mission-critical operations. The broader message from Infor is clear: businesses don’t just want AI experimentation anymore. They want secure, explainable, industry-ready AI that can deliver value quickly and predictably.
https://www.nogalis.com/wp-content/uploads/2019/08/AI-inventory-erp-integration.jpg299500Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-14 08:24:452026-05-18 12:33:52Enterprise AI Adoption Impact Index Finds More than Half of Businesses Struggle to Scale AI. New Infor Solutions Aim to Close the Gap
Endpoint security is more important than ever as cyber threats continue to evolve, making proactive protection essential for businesses of all sizes. In an article by N-able, published on CSO Online, the author outlines practical strategies organizations can take to strengthen security, reduce vulnerabilities, and avoid common missteps in endpoint protection. The article emphasizes that strong endpoint security begins with visibility. Businesses can’t protect devices they don’t know exist, so maintaining a complete inventory of laptops, mobile devices, and connected assets is critical. Unmanaged or “shadow IT” devices can easily become entry points for cyberattacks if left unchecked. Another major takeaway is the importance of standardized security policies and automation. Consistent configurations—such as limiting administrator access and controlling unauthorized applications—help close security gaps. The article stresses that manual patching is no longer enough, as cybercriminals move too quickly for slow, human-driven processes. Automated updates and vulnerability remediation can significantly reduce exposure to threats. The piece also highlights the growing need for layered defenses. Traditional antivirus tools alone may miss sophisticated attacks, which is why technologies like Endpoint Detection and Response (EDR) are increasingly valuable for identifying suspicious behavior and containing threats before they spread. Just as importantly, reliable backup and recovery plans help organizations recover quickly if something slips through defenses. The article reinforces that endpoint security isn’t about relying on one tool—it’s about creating a proactive, multi-layered strategy that combines visibility, automation, monitoring, and recovery to build long-term resilience against modern cyber threats.
Summary of issue: When working on a Lawson IPA Flow issue, there was an IPA Webservice Node call that grabs XML data. This data was then fed into an IPA XML Builder/Parser node and begin to throw an “’X’ is not defined” error.
After our IPA WebSvc node “getNewlyAddedContacts” made an API call to return records. It then fed to an XML Builder/Parser node and threw a “’P1’ is not defined error”. We will explain why below.
Even though the “contacts” information was being called successfully, one of the records had bad data.
This record specifically had a { (bracket) in one of it’s fields and this somehow got encoded as {
Which resulted in the XML Parser Node in IPA to fail with the “P1” is not defined error.
So, if this happens to your process that is calling on XML formatted data, search your logs for the specific record that “is not defined”.
Good luck!
https://www.nogalis.com/wp-content/uploads/2026/05/Lawson-Infor-Process-Automation-XML-Builder-Parser-node-with-error-X-is-not-defined.jpg470470Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-12 09:01:362026-05-08 11:24:27Lawson Infor Process Automation XML Builder/Parser node with error – ‘X is not defined’
Agentic AI is quickly becoming a major focus in manufacturing, as companies look for smarter ways to automate operations, improve efficiency, and scale decision-making across complex workflows. In a recent press release from Infor, the company announced an expanded collaboration with Amazon Web Services (AWS) to bring industry-specific AI agents to manufacturing and distribution environments. The announcement highlights how these AI agents are designed to reason, plan, and act across business processes—moving beyond simple automation into more intelligent, workflow-driven support. The partnership focuses on solving a common challenge in manufacturing: scaling AI from pilot programs to real operational impact. Rather than relying on generic AI tools, Infor emphasizes industry-specific agents that understand manufacturing realities such as supply chains, bills of materials, production schedules, inventory movement, and financial operations. Built natively on AWS infrastructure, these agents aim to help manufacturers deploy AI securely and at enterprise scale. The press release also shares an early customer example through Xpress Boats, which reportedly used Infor’s AI and process mining tools to identify operational bottlenecks and reduce inefficiencies. Infor claims the company achieved measurable improvements, including faster issue diagnosis, reduced returns processing time, and lower expedited shipping costs. Moreover, agentic AI as the next phase of manufacturing transformation—not just helping teams automate repetitive work, but enabling systems to proactively coordinate decisions, surface risks, and improve operational performance across the enterprise.
https://www.nogalis.com/wp-content/uploads/2019/09/digital-supply-chain.jpg334500Angeli Mentahttps://www.nogalis.com/wp-content/uploads/2013/04/logo-with-slogan-good.pngAngeli Menta2026-05-11 09:04:002026-05-08 13:06:51Infor and AWS Bring Agentic AI to Manufacturing at Enterprise Scale
Your cloud strategy is incomplete without a cyber recovery plan
NewsCloud adoption has made systems faster and more scalable — but as a recent article by Archana Choudhary – VP at Deutsche Bank and a recognized PM expert in strategy execution- on CIO.com points out, it hasn’t eliminated one of the biggest risks in modern IT: the ability to recover when something goes seriously wrong. Choudhary argues that many organizations mistake cloud migration for resilience. Dashboards may look healthy and security tools may be in place, but that can create a false sense of safety if there’s no real plan for recovering from a full-scale cyberattack. The key shift in mindset is moving from prevention to recovery. Since no system is fully immune to attacks — especially ransomware — the more important question becomes: how quickly can a business recover, and how safely?
The article highlights how modern attacks often target identities and backup systems, not just networks. Misconfigurations, overly broad access, and compromised credentials can allow attackers to move through cloud environments and even corrupt backups before a ransomware event is triggered. That’s why recovery itself becomes a business-critical KPI. Metrics like RTO (recovery time objective) and RPO (recovery point objective) are often treated as technical details, but in reality they define how much downtime and data loss a business can tolerate. A modern cyber recovery strategy, the article argues, needs isolated recovery environments, immutable backups, clean data validation, automated recovery workflows, and regular testing. The bottom line is simple: cloud gives you availability, but not guaranteed resilience. Without a tested cyber recovery plan, even a well-architected cloud environment can still fail when it matters most.
For Full Article, Click Here
The Cost Illusion In ERP: Why Companies Overspend
NewsA recent article in Forbes argues that companies are overspending on enterprise resource planning (ERP) systems for a surprisingly simple reason: they’re focused on software pricing instead of long-term value. In this article, author Manish Goyal (Co-Founder of Dynamics Square) explains that ERP overspending rarely comes from the license itself. The bigger issue is how organizations buy, customize, and manage ERP systems over time. Many businesses still estimate for peak usage, over-purchase licenses, and lock into rigid contracts — only to discover later that large portions of the system go underused. The article notes that cloud ERP hasn’t eliminated waste; it has simply changed how waste appears. Instead of large upfront costs, companies now face recurring subscription expenses that can quietly grow year after year without active oversight. Another major cost driver is over-customization. While tailored workflows may seem beneficial initially, heavy customization often increases maintenance complexity, upgrade difficulty, and long-term ownership costs. Rather than focusing solely on negotiating discounts, the article recommends a more value-based approach to ERP. That includes tying licensing to actual business outcomes, adopting modules gradually, reviewing system usage regularly, and building flexibility into contracts. Goyal’s core takeaway is that ERP cost problems are usually caused by misaligned decisions, not expensive software. Organizations that continuously optimize usage and align ERP investments with business goals are far more likely to control costs and improve ROI.
For Full Article, Click Here
Setting up Drill options
Articles, Frontpage Article, NewsYou can specify the number of records to display at one time.
You can specify the number of records to display for Drill Explorer,
Select, and List.
That’s all there is to it.
Infor named a Leader in 2026 Gartner® Magic Quadrant™ for Warehouse Management Systems
NewsInfor has once again earned a top spot in the warehouse technology space, being named a Leader in the 2026 Gartner® Magic Quadrant™ for Warehouse Management Systems — marking the eighth consecutive year the company has received the recognition. The announcement highlights Infor’s continued push to modernize warehouse operations through cloud-based technology, AI, and automation. Its Warehouse Management System (WMS) platform is designed to help businesses manage increasingly complex fulfillment demands through tools for labor management, inventory tracking, task coordination, and even 3D warehouse visualization — all within a single platform. What stands out most in this year’s announcement is Infor’s growing focus on practical AI applications inside the warehouse. Rather than positioning AI as a future concept, the company is emphasizing measurable operational gains happening today. One example is its Pick Path Optimization capability, which uses AI and machine learning to guide warehouse workers along more efficient picking routes. According to Infor, customers using the feature have seen up to 25% less travel distance and 15% faster picking times — improvements that can significantly impact labor efficiency and fulfillment speed. Vishal Minocha said the recognition reflects Infor’s focus on delivering real operational outcomes rather than innovation for innovation’s sake. The company also continues to expand its use of generative AI, agentic AI, and advanced analytics across supply chain operations. The broader takeaway: warehouse technology is evolving quickly, and companies are increasingly looking for AI tools that produce tangible, day-one value instead of long-term experimentation.
For Full Article, Click Here
Weekly Patch Notification: May 16, 2026
Articles, Frontpage Article, PatchesHow to Update the ADFS Token-Signing Certificate
Articles, Frontpage Article, NewsLawson SSO issue
We are having an issue with ADFS SSO login with Lawson and I need someone to pull the updated metadata.
ADFS auto creates a new ‘secondary’ decrypt and signing cert 20 days prior to expiration so on 8/31-ish It then promotes the secondary to primary 5 days later so that would have been today.
Update the ADFS Token-Signing Certificate
When the ADFS Token-Signing certificate is updated on the ADFS server, it will have to be imported to Lawson and Infor OS.
Someone with admin rights on the ADFS instance will need to export the certificate and provide you with the “.cer” file before these tasks can be completed.
Update the Certificate in Lawson
Log onto the Lawson Server
Start a ssoconfig -c session
Export Services
Check the file for the Service ID name and make a note of it
In this case, LSF_ADFS is the service name.
Go to “Manage WS Federation Settings” > “Manage Certificates”

Select “Delete WS Federation Certificate”
Select “Create certificate for “WS Federation”

Select “Delete IdP certificate”
Enter the service name of your ADFS service

Select “Import IdP Certificate”
Enter the service name of your ADFS service
Provide the full path where you have the token-signing certificate saved

Verify External Portal work (goes through ADFS)
Update the Certificate in Infor OS
Log into the Infor OS server as the LAWSON user
go to STSAdminUI
Click on idP Connections
click on Edit
Scroll down and you will see that the signing cert has changed

Go back to the top and click on the world

Enter the URL that Admin provided and click on OK

Click on save

Now test your connections
Enterprise AI Adoption Impact Index Finds More than Half of Businesses Struggle to Scale AI. New Infor Solutions Aim to Close the Gap
NewsInfor is betting that the future of enterprise AI isn’t just about smarter tools — it’s about delivering measurable business outcomes. In a recent Press Release, Infor unveiled expanded capabilities across its Velocity Suite and introduced an enhanced version of its Agentic Orchestrator, both aimed at helping companies move beyond AI pilots and into real-world scale. The timing makes sense. According to Infor’s new Enterprise AI Adoption Impact Index, nearly half of organizations are still stuck in the early stages of AI deployment, despite 80% of business leaders saying they feel capable of managing AI implementations. The biggest blockers? Data security and compliance concerns, lack of internal AI talent, and uncertainty around ROI.
Infor’s answer is a more industry-specific approach to AI. CEO Kevin Samuelson emphasized that AI agents need deep operational context to be effective — a healthcare purchasing agent shouldn’t behave the same way as one built for manufacturing. The updated Velocity Suite now includes industry-focused AI agents, prebuilt automation libraries, curated AI use-case packs, and managed services support after deployment. Infor also highlighted a new warehouse optimization tool that reportedly reduced travel distance by up to 25% for some customers.
Meanwhile, the enhanced Agentic Orchestrator is designed to coordinate complex AI workflows across systems while maintaining transparency and human oversight. New capabilities focus on orchestration, interoperability, and observability — key concerns for enterprises trying to trust AI with mission-critical operations. The broader message from Infor is clear: businesses don’t just want AI experimentation anymore. They want secure, explainable, industry-ready AI that can deliver value quickly and predictably.
For Full Article, Click Here
5 essential steps to bulletproof your endpoint security (and avoid the biggest mistakes)
NewsEndpoint security is more important than ever as cyber threats continue to evolve, making proactive protection essential for businesses of all sizes. In an article by N-able, published on CSO Online, the author outlines practical strategies organizations can take to strengthen security, reduce vulnerabilities, and avoid common missteps in endpoint protection. The article emphasizes that strong endpoint security begins with visibility. Businesses can’t protect devices they don’t know exist, so maintaining a complete inventory of laptops, mobile devices, and connected assets is critical. Unmanaged or “shadow IT” devices can easily become entry points for cyberattacks if left unchecked. Another major takeaway is the importance of standardized security policies and automation. Consistent configurations—such as limiting administrator access and controlling unauthorized applications—help close security gaps. The article stresses that manual patching is no longer enough, as cybercriminals move too quickly for slow, human-driven processes. Automated updates and vulnerability remediation can significantly reduce exposure to threats. The piece also highlights the growing need for layered defenses. Traditional antivirus tools alone may miss sophisticated attacks, which is why technologies like Endpoint Detection and Response (EDR) are increasingly valuable for identifying suspicious behavior and containing threats before they spread. Just as importantly, reliable backup and recovery plans help organizations recover quickly if something slips through defenses. The article reinforces that endpoint security isn’t about relying on one tool—it’s about creating a proactive, multi-layered strategy that combines visibility, automation, monitoring, and recovery to build long-term resilience against modern cyber threats.
For Full Article, Click Here
Lawson Infor Process Automation XML Builder/Parser node with error – ‘X is not defined’
Articles, Frontpage Article, NewsSummary of issue: When working on a Lawson IPA Flow issue, there was an IPA Webservice Node call that grabs XML data. This data was then fed into an IPA XML Builder/Parser node and begin to throw an “’X’ is not defined” error.
After our IPA WebSvc node “getNewlyAddedContacts” made an API call to return records. It then fed to an XML Builder/Parser node and threw a “’P1’ is not defined error”. We will explain why below.
Even though the “contacts” information was being called successfully, one of the records had bad data.
This record specifically had a { (bracket) in one of it’s fields and this somehow got encoded as {
Which resulted in the XML Parser Node in IPA to fail with the “P1” is not defined error.
So, if this happens to your process that is calling on XML formatted data, search your logs for the specific record that “is not defined”.
Good luck!
Infor and AWS Bring Agentic AI to Manufacturing at Enterprise Scale
NewsAgentic AI is quickly becoming a major focus in manufacturing, as companies look for smarter ways to automate operations, improve efficiency, and scale decision-making across complex workflows. In a recent press release from Infor, the company announced an expanded collaboration with Amazon Web Services (AWS) to bring industry-specific AI agents to manufacturing and distribution environments. The announcement highlights how these AI agents are designed to reason, plan, and act across business processes—moving beyond simple automation into more intelligent, workflow-driven support. The partnership focuses on solving a common challenge in manufacturing: scaling AI from pilot programs to real operational impact. Rather than relying on generic AI tools, Infor emphasizes industry-specific agents that understand manufacturing realities such as supply chains, bills of materials, production schedules, inventory movement, and financial operations. Built natively on AWS infrastructure, these agents aim to help manufacturers deploy AI securely and at enterprise scale. The press release also shares an early customer example through Xpress Boats, which reportedly used Infor’s AI and process mining tools to identify operational bottlenecks and reduce inefficiencies. Infor claims the company achieved measurable improvements, including faster issue diagnosis, reduced returns processing time, and lower expedited shipping costs. Moreover, agentic AI as the next phase of manufacturing transformation—not just helping teams automate repetitive work, but enabling systems to proactively coordinate decisions, surface risks, and improve operational performance across the enterprise.
For Full Article, Click Here