Infor Selects Amazon Bedrock to Power Generative AI Solutions

Today, Infor announces the selection of Amazon Bedrock, a service for building and scaling generative applications, to deploy GenAI solutions embedded within Infor CloudSuite designed to accelerate customer value. This further deepens Infor’s 11-year relationship with Amazon Web Services (AWS) and the close collaboration and success the companies share after years of extending Infor solutions through AWS services. Per the press release, Infor has built industry-specific use cases on AWS technology that allows their customers to complete daily tasks faster with pre-trained models built on Amazon Bedrock. Infor CTO comments, “Infor is on a mission to democratize AI by making it accessible to all our customers, regardless of the size of their organization or the technical resources they employ. Our goal is to build products that deliver transformative technologies directly to those who benefit most – the front-line people using Infor solutions. At Infor, we believe that merely giving customers the tools to apply GenAI isn’t enough. Our Industry AI approach combines both the tools and deep industry capability and expertise to collaboratively work with customers to build and offer solutions that drive real value.” Furthermore, Infor has released hundreds of proven predictive and prescriptive AI solutions through its Augmented Intelligence Service, helping customers to drive operational efficiencies, grow revenue, enhance customer satisfaction and predict future demand, all built using AWS services such as Amazon SageMaker. With Amazon Bedrock at the core of its generative AI innovations, customers will now have access to 60 additional use cases by year end.

 

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Data governance never takes a vacation

Effective data management is a high priority necessity for any business. The type of vigilance needed for data management include continuous monitoring, strict access control and security protocols and unwavering data quality itself. Pragyansmita Nayak, chief data scientist for Hitachi Vantara Federal, shares an article on Federal News Network highlighting four key ways that agencies can enhance their data governance practices.

Strategic data collection and continuous monitoring. “Federal agencies should clearly define their data objectives to ensure purpose-driven gathering, while preventing the challenges of aimless accumulation. They should prioritize the development of comprehensive data strategies that define collection goals, establish priorities, and implement efficient data management systems. This ensures that only relevant and high-quality data is collected and processed. Implementing continuous monitoring is crucial in this context, acting as a vigilant supervisor that promptly identifies and addresses any anomalies or inefficiencies in data management.”

Prioritize data quality for effective governance. “Federal agencies must prioritize data quality as a core element of their data management strategies. Assigning data stewards to oversee specific datasets further strengthens data integrity. High standards for data accuracy and reliability, along with enforcement measures, are essential. This commitment to excellence in data management ensures that governance remains a top priority.”

Promoting a culture of vigilance. “It’s critical for agency leadership to set a clear tone, emphasizing the importance of data security and integrity throughout every level of the agency. Fostering a continuous improvement mindset cultivates a proactive approach to data governance.”

Safeguarding data for effective management. “The importance of effective data management transcends seasonal boundaries. As we embrace the digital future, let our commitment to data stewardship be as enduring as the changing seasons, ensuring a secure and prosperous tomorrow for all.”

 

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Edit the Install.cfg Encrypted Values

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Certain passwords in install.cfg are encrypted, and if those passwords change, you will want to update install.cfg before running patches.

To edit the file, first open a command line window with the environment set.  Then run the command

Java -cp %GENDIR%/java/thirdParty/installer.jar com.lawson.delivery.secure.PasswordAdministrator -s %LAWDIR%/system/install.cfg

First, you will be prompted to enter the password that was used to secure the Lawson system configuration.  If you don’t know this password, or if you need to change it, this is your opportunity.  Leave it blank and you will be prompted to enter a new password.  Then, you will need to rerun the command with the new password.

Once you enter the configuration passkey, you will be presented with a screen that contains all the encrypted passwords.  You can select the clear text radio button to show the passwords if desired.  Here, you can update ore view any of the passwords.

Click Finish and you’re done!

 

Integrating AI and Machine Learning with ERP Systems for Enhanced Decision-Making

Modern enterprise resource planning (ERP) systems these days are highly customizable, and many companies pain them with additional technologies to get the best from their systems. Two such technologies that can strengthen your ERP are artificial intelligence (AI) and Machine Learning. Vikram Bhandari, Chief Technology and Innovation Officer at Riveron, shares an article on Dataquest highlighting the benefits of AI and machine learning when paired with your enterprise’s ERP systems. Bhandari explains that AI evaluates the data processed by ERP systems to forecast and automate tasks. Meanwhile, Machine Learning establishes an automated machine interaction with ERP systems to ensure simultaneous targeted adjustments. ERP systems equipped with AI chatbots can offer personalized customer management service through Natural Language Processing (NLP) technology, enabling businesses to foster customer popularity, boosting conversion rate and customer satisfaction. In addition, Machine Learning algorithms help innovative systems to empower businesses to prepare for market fluctuations by anticipating them beforehand. Bhandari states that the useful data generated by AI and Machine Learning integrated systems help business executives to make informed decisions, reducing the reliance on improvising and bolstering profitability. It is important to note that while AI and machine learning bring a competitive advantage to enterprises, there are some challenges that come with it. Mainly, implementing and training your employees with this new technology.

 

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Dock Logging screen button changed on handheld

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Issue: Using RAD > Dock Logging on the handheld, users noticed that in the upper right corner, the selection changed from ‘Print’ to ‘Send’

 

Resolution:

To change the value on the Dock Logging screen from ‘Print’ to ‘Send’ follow these steps:

In MSCM portal, go to Receiving and Delivery > Receiving > Configuration > on Misc Receipts tab

Scroll to the bottom and there is value for Dock Logging Configuration

If the Auto Print is on, the device will say ‘Print’ in the upper corner.

If the Auto Print is off, then it will just say ‘Send’

Turning off the printing is a Global setting and affects all users who use Dock Logging.

Turning the Auto Print on will show  the ‘Print’ selection on the device.

Calling for backup: The importance of disaster recovery

In today’s digital landscape, it is more important than ever to back up your data. Whether personal or business, everything needs to be backed up – from laptops to cell phone to servers, While the concept of “backing up data” seems fairly simple, there are still ways for skilled hackers to attack and compromise your data. Brent Torre, GM of Backup Suite and Kaseya, shares an article on Security Magazine of the importance of disaster recovery and how to properly back up your data. “Threat actors know good backups are the cheat code to not paying the ransomware,” Torre says, “giving victims the ability to rewind the clock to before the attack. With that in mind, the bad guys have begun to actively target backups first.”

Here are a few things, Torre offers, that IT leaders should keep in mind to ensure their data is protected, and their business keeps on running — no matter what.

All businesses are at risk. “Every business needs to assume they’re at risk and design their security posture accordingly. This doesn’t just involve ensuring there are tools to detect and mitigate an attack but writing a plan for how to recover quickly and efficiently.”

Basic backup isn’t enough. “To mitigate potential damages and eliminate downtime in the event of an IT disaster, organizations need to have a proactive plan rather than a reactive one. However, most SMBs cannot afford to spend the money, time and resources required to research, implement and test disaster recovery plans. That is why Disaster-Recovery-as-a-Service (DRaaS) is swiftly gaining prominence. It allows an organization to back up its data (along with IT infrastructure configurations and disaster recovery runbook) in a third-party cloud computing environment.”

Cloud isn’t immune to cyberattacks. “In today’s rapidly expanding threat landscape, it is thus critical for organizations to secure their data with a powerful third-party backup solution. It will help them comprehensively protect their cloud data while eliminating the single-cloud vulnerabilities and other potential pitfalls associated with leveraging cloud-native services for data backup. When looking for a cloud data protection solution, be sure it includes the same robust features previously required on-prem.”

 

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Top ways Artificial Intelligence impacts ERP software in enterprises

Today’s enterprise resource planning (ERP) systems have found a game-changing relationship with artificial intelligence (AI). With AI used in your ERP systems, it can bring intelligence and automation to benefit your enterprise Digital Marketing Strategist Vipul Makwana shares an article on TechTarget’s Data Science Central of the importance of AI in ERP and how it benefits your business.

 

Key benefits of AI in ERP systems

Makwana lists the top benefits of AI in ERP systems:

Predictive capabilities – AI can analyze historical data and market trends to forecast future conditions, enabling businesses to make proactive decisions in real time. Moreover, companies can optimize inventory levels, production schedules, and resource allocation by predicting product demand accurately.

Effective insights – As AI excels at processing large volumes of data, it makes it possible to identify patterns, correlations, and anomalies that would be otherwise difficult to find out. Furthermore, AI transforms raw data into actionable insights, helping businesses make informed decisions.

Decision support – AI can analyze supplier performance, market prices, and inventory levels to optimize purchasing decisions and reduce costs. It can also analyze customer data to identify ideal customer segments, enabling targeted marketing campaigns and increased ROI.

Customer service – AI-powered chatbots and virtual assistants can provide efficient customer support, answering queries and resolving issues promptly. ERP systems become more intelligent, efficient, and customer-centric by leveraging the advancements of AI technology.

 

Five ways AI reshapes the ERP systems

In addition, here are Makwana’s top factors in which AI influences the most in tailor-made ERP software:

Data handling and business intelligence – AI boosts ERP’s data handling capabilities enabling deeper insights and better decision-making. It can uncover hidden patterns and predict trends by analyzing vast datasets. For instance, AI can analyze customer purchasing behavior to tailor inventory.

Streamlined processes and automation – AI-driven ERP systems streamline operations by automating routine tasks like invoicing and scheduling. As a result, your staff can focus on strategic initiatives. Moreover, AI can identify process inefficiencies and suggest improvements, leading to increased efficiency.

User behavior and experience – AI enhances ERP usability by offering users personalized experiences. AI can tailor search results, present data in a user-friendly format, and provide intelligent suggestions. This simplifies navigation and empowers users to make informed decisions.

Conversational and Generative AI – Conversational AI transforms ERP interaction, enabling users to ask questions and request information in natural language. Generative AI can create visual representations of data and make comparisons visible. These advancements make ERP systems more user-friendly.

Third-party AI solutions – While many ERP systems offer built-in AI capabilities, companies can integrate third-party AI solutions. It can give additional flexibility and advanced features. These solutions can address specific business needs and complement the core ERP functionality.

 

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AP45.3 Add-Ins upload error Cannot change Payment Date delete and re-add record

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Problem/Issue:

While attempting to utilize Lawson Add-Ins for Microsoft Office to upload data into AP45.3 (Non-AP Reportable Income Adjustment), some users may encounter the following error message: “Cannot Change Payment Date; delete and re-add record.” How can this error be resolved?

 

Resolution:

Luckily, this isn’t a serious error and it has a quick fix. To address this issue, simply follow these steps:

  1. First, check and make sure that you use “A” as the FC Code instead of “C.”
  2. Next, utilize the “Try to Add, then try to Change” option during the Add-Ins upload process.

The error message should go away and you will now be able to successfully change the payment data, delete and re-add records.

Studies on customizable ERP software show clear competitive advantages

Enterprise resource planning (ERP) systems have proven to be valuable assets to any company. And while not every company is the same, so are ERPs. This is why customizable ERP systems provide the competitive edge to companies who utilize them to their advantage. An article on openpr.com shares how studies in customizable ERP systems can increase productivity and efficiency. A study by Glorium Technologies highlights that customized ERP solutions save time and resources by automating repetitive tasks and increasing accuracy [ERP Software Development: A Full Guide]. Another study by Syslab Technologies shows that custom ERP systems optimize workflow by addressing and improving specific business processes [Best Custom ERP Software Development: Ultimate Guide 101]. These systems allow employees to work more efficiently because they are tailored to the exact needs and workflows of the organization.

Clear Competitive Advantages. The article states that a customized ERP system provides companies with a significant competitive advantage by allowing them to respond more quickly and accurately to market changes. Such advantages like cost savings, integration and adaptability, and data management and decision making come with customized ERP systems. The article concludes that customizable ERP systems offer numerous advantages that can go far beyond the possibilities of standardized solutions.  Companies that invest in customized ERP solutions can optimize their business processes and compete successfully in a dynamic market.

 

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Debugging 4GL forms in Visual Studio

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Sometimes compiling for trace, or adding display statements to a 4GL program, just doesn’t quite get you far enough with debugging.  Lawson is installed on a MicroFocus COBOL for Visual Studio, which can be debugged using Visual Studio.  Here are the steps to set up the debugger for a Lawson form:

  1. First, compile your program for debug (i.e. lawcmp -D <pdl> <system> <program>)
  2. Create a new Windows Application project for COBOL.
  3. Configure the application for Output Type INT/GNT, and open the “Environment…” to set a Path variable. This variable should contain <GENDIR>\bin;<JAVA_HOME>\jre\bin\server;<LAWDIR>\<pdl>\obj;<LUU_DIR>

  4. Under Debug, set the project to launch an executable. The executable should be <MF_HOME>/bin64/run.exe, and the Application Arguments should be <LAWDIR>/<pdl>/obj/<debug program>.int <pdl>
  5. On the COBOL tab, set the configuration to Active (Debug) and the platform and platform target to your current server platform. Set the COBOL dialect to Micro Focus.  Set the output path to .\bin\x64\Debug
  6. Add the “.cbl” file to the Visual Studio project that was generated from your compile in debug mode (step 1).
  7. You can set break points in that cbl file
  8. Now, it’s time to debug your form. Open the application using LID (lapm <pdl> <program code>)
  9. In a separate LID session, run the command tmmon and make note of the pid for your Lacobrts process.
  10. Now, in Visual Studio, select Debug > Attach to Process
  11. Select the process you identified in tmmon (it should be a run.exe). Now you can perform the process that you were trying to debug, and Visual Studio will stop at the break point you set.