If you receive the Crystal Reports error message “Unable to connect to the server” when attempting to run a report in LBI, it is likely that your server information is not configured correctly in the ClientSDKOptions.xml file. There is a quick solution for this.

To validate the server configuration, navigate to: <LBI Install dir>\ReportingServices\Reporting Services.ear\erswar-10.6.0.0.war\WEB-INF\classes\clientSDKOptions.xml and <LBI Install dir>\ReportingServices\Reporting Services.ear\erswar-10.6.0.0.war\WEB-INF\lib

If the server details do not match the host server, update it with the correct ports.  If you have CRAS horizontally scaled, be sure to include server details for each port.

And you’re done! you should not see the error on LBI anymore.

In recent news, Swiss food wholesaler Bio Partner has successfully implemented Infor CloudSuite Food & Beverage. Along with automating and accelerating business processes, Bio Partner benefits from having scalability, security and innovation with the Infor Cloud platform, powered by Amazon Web Services (AWS). The decision to switch over to Infor Cloud-based solution was made because Bio Partner’s previous locally-hosted enterprise resource planning (ERP) system could no longer meet the company’s requirements. Per the press release, Infor CloudSuite Food & Beverage – specifically built for the food & beverage industry with proven business processes and preconfigured capabilities as a true public cloud service – improves Bio Partner’s management of its inventory turnover and returns of excess and expired products. This is especially important when trading fruits, vegetables and dairy products, as it requires an efficient handling solution crucial to monitoring products’ shelf life. Bernhard von Berg, account manager at Infor, says of the implementation, “With Infor CloudSuite Food & Beverage, we offer companies like Bio Partner the opportunity to implement a single solution that covers all their needs. They also benefit from best practices of other customers through the multi-tenant architecture. We have already been able to implement various use cases at Bio Partner, and we are constantly working with the company to further exploit the potential of the Infor solution.”

 

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To check and/or change the Web SSO lifetime within AD FS, follow these simple steps below.

On the server with AD FS (Active Directory Federation Services) access the AD FS Management Console.

  • First, select ADFS on the left
  • Next, select the “Edit Federation Service Properties” on the right-hand side
  • Locate the Web SSO lifetime is at the bottom of the dialog box presented
  • If needed, change the value; the number displayed is in minutes
  • No restart is needed to enable the change

See screen shot below for a visual guide.

 

In this new year, enterprise resource planning (ERP) will continue to run as the powerhouse system for a business. While the common environment will tend to be on-premise, the cloud migration of ERP is fast becoming the new norm. Coupled with the integration of technologies such as generative artificial intelligence (AI) into ERP systems, the ERP landscape is full of many opportunities this year and beyond. Jim O’Donnell, ERP expert and news writer for TechTarget Editorial, shares an article featuring new ERP, cloud and integrations we will see this year.

Cloud ERP momentum continues. “The movement toward cloud ERP will continue in 2024, according to experts. Much of this will be driven by a desire to access cutting-edge features such as AI and the need to modernize business processes. The overarching ERP vendor strategy is also centered around moving customers to the cloud, and technology development is centered on cloud applications, said Isaac Gould, research manager at Nucleus Research.”

Useful generative AI will appear slowly. “Transformational GenAI applications are still a few years away, but generative AI chatbots will prove to be useful productivity improvement tools, Gould said. He states that a lot of this is around helping people query their data. The idea is that these copilots allow you to ask questions on your own data, essentially helping you generate and pull reports very quickly. GenAI is overhyped right now, and it will take time to see actual use cases showing up inside ERP applications, said Greg Leiter, a research director at Gartner.”

ERP expands to include more functionality. “ERP platforms will expand to include more functionality that has been in standalone applications, and new capabilities will be integrated more outside the core ERP systems, according to the experts. Large ERP vendors such as IFS, Infor, Microsoft, Oracle and SAP are looking to extend their systems to make them “stickier” by giving customers more options to consolidate functionality, Gould said.”

 

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Infor recently formed a partnership with ETQ, part of Hexagon, to strengthen the solution ecosystem for food and beverage, life sciences, chemicals, fashion, and distribution enterprises requiring best-in-class quality management and environmental, health and safety solutions. Per the press release, the ETQ Reliance quality management system (QMS) provides capabilities for document control. Corrective and preventative actions (CAPA), nonconformance management, employee training management, enterprise risk management, supplier quality management, audits, and quality analytics. In addition, ETQ Reliance offers a portfolio of environmental health and safety (EHS) applications and is a modern cloud-native solution that fits well with Infor’s industry cloud platform. Infor CloudSuite is considered a complementary software solution to ETQ Reliance. ETQ Reliance is an agile, comprehensive SaaS platform comprised of more than 40 QMS and EHS applications that adapts and scales as customer needs evolve. And Infor CloudSuite is managing the product and quality specifications, and executes quality inspections at goods receipt, in manufacturing, in the laboratory, in the warehouse and at distribution. It provides powerful functions to manage the quality, variable characteristics and shelf life of the materials and products. Moreover, it has second-to-none track & trace and recall capabilities supported by a graphical visualization of the goods flow.

 

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When running cumulative updates in your Landmark environment, it is important to be logged into the server with the correct account.  If you aren’t on the right account, then the updates will fail with little to no explanation for why.

To determine which user needs to log into the server to run update scripts, open Windows Services and look for the Infor ION Grid service.  The account that is running the Grid service is the account that should be logged in.  It is often the local Lawson account, but could also be a domain account. See the screenshot below for reference.

 

 

 

 

When batch jobs are not running and are in a waiting status. Our users are unable to add or submit batch jobs.

Resolution:

Here are some steps to troubleshoot problems with batch jobs

  1. If users are not able to add a batch job:
    • create the NOPARAMVAL file in the LAWDIR/system directory. The NOPARAMVAL touch file allows the system to skip the parameter validation when a new batch job is added.

From a LID command line, type the following:

cd $LAWDIR/system

touch NOPARAMVAL

  1. If jobs are not submitting, failing, or hanging, follow the steps below:
    • fix corrupt jobstep records

 From a LID command line, type the following:

 jobinteg -d

Increase the Max Number of Jobs and Max Number of Update Jobs values in jqdef

Ensure the RUNJOBS setting is set high enough in the LAWDIR/system/lajs.cfg. If the total Max Number of Jobs from jqdef is set at 10, RUNJOBS must be set to at least 10.

Restart the Job Scheduler by using the startjobqueue command

Recover and resubmit any jobs that are in Needs Recovery.

In 2023, data technology focused on adopting generative artificial intelligence (AI) and foundation models. Companies soon realized that in order to leverage this tech, they needed to get their data affairs in order. While we know what role high-quality and valuable data can bring to a business’ success, we need to understand how technological advancements such as AI can help leverage your data. VentureBeat shares an insightful article of 11 data predictions for AI-centric enterprise growth in the new year with supporting evidence from tech experts in their fields.

  1. Relational will break free of SQL. “Many organizations continue to rely on outdated operational databases that were built to handle the demands of decades-old technology. SQL is a database language that lacks a standardized approach to procedural logic which, for most applications, is embedded within an application server connected to a SQL database using a stateful, persistent session. Looking ahead, we’ll see businesses adopt more agile database infrastructure that supports the distribution, consistency, scalability and flexibility of modern applications across IoT, edge, and AI. The challenges with legacy databases will only become more costly as their limitations become more burdensome to enterprise developers, and a larger bottleneck for the pace of business innovation.” – Bob Muglia, executive chairman of Fauna and former CEO of Snowflake
  2. Vector databases will become the most sought-after technology. “In an era where data-driven insights fuel innovation, vector databases have swiftly gained prominence due to their prowess in handling high-dimensional data and facilitating complex similarity searches. Whether for recommendation systems, image recognition, natural language processing, financial forecasting, or other AI-driven ventures, understanding the top vector databases will be critical for software development across industries.” – Ratnesh Singh Parihar, principal architect at Talentica Software, and Avthar Sewrathan, GM for AI and vector at Timescale
  3. Fishing for LLM gold in enterprise data lakes. “In 2024, businesses will begin using generative AI to make use of that untamed data by putting it to work building and customizing LLMs. With AI-powered supercomputing, businesses will begin mining their unstructured data — including chats, videos and code — to expand their generative AI development into training multimodal models.” – Charlie Boyle, vice president of DGX Systems, Nvidia
  4. Companies without sophisticated enough automation to power AI will feel the burn. “As businesses implement AI to maintain their competitive edge, many will feel the effects of their disorganized data infrastructure more acutely. The effects of bad data (or not enough data) will be compounded when the stakes are raised from simply serving up bad information on a dashboard to potentially automating the wrong decisions and behaviors based on that data.” – Sean Knapp, CEO of Ascend.io
  5. Cloud FinOps teams will optimize their data pipelines. “In Ascend’s annual research, 48% of respondents cited plans to optimize their data pipelines to reduce cloud computing costs, with 89% of those respondents expecting the number of pipelines to grow in the next 12 months. It will be imperative next year to leverage platforms that pinpoint where extra spending is occurring in data pipelines and push back with rapid demonstrations of cost optimizations to avoid misguided mandates from above.” – Sean Knapp, CEO of Ascend.io
  6. Intent data will become a must-have for go-to-market teams. “With AI becoming more sophisticated every year, we anticipate seeing a continued shift from reactive to proactive customer engagement, boosting conversions and fostering long-term customer loyalty.” –  Henry Schuck, CEO of ZoomInfo
  7. Data and business teams will lock horns over onboarding AI products. “While business users’ demand for AI products like ChatGPT has already taken off, data teams will still impose a huge checklist before allowing access to corporate data. This tail-wagging-the-dog scenario may be a forcing function to strike a balance, and adoption could come sooner rather than later as AI proves itself as reliable and secure.” –  Arina Curtis, CEO and co-founder of DataGPT
  8. Enterprises will get a double whammy from real-time and AI. “AI-powered real-time data analytics will give enterprises far greater cost savings and competitive intelligence than before by way of automation, and enable software engineers to move faster within the organization. With AI, in 2024, we will be able to process these documents in real-time and also get good intelligence from this dataset without having to code custom models.” – Dhruba Borthakur, CTO and co-founder of Rockset
  9. Knowledge graphs will help users eliminate data silos. “As enterprises continue to move more data into a data cloud, they are collecting hundreds, thousands, and sometimes even tens of thousands, of data silos in their clouds. With this, in the new year, we will see a variety of established and novel knowledge graph-based AI techniques that support the development of intelligent applications emerge.” – Molham Aref, CEO and founder of RelationalAI
  10. AI will change the current approach to data management. “Companies will find they need to strike a balance to protect data that is being used by AI models, while still using that data to support valuable decision-making. These innovative data management solutions will continue to evolve alongside regulatory compliance and emerging legislation.” — Osmar Olivo, VP of product management, Inrupt
  11. The role of Chief Data Officer will become a prerequisite for CIO hopefuls. “Organizations looking for great CIOs will choose the ones who truly understand how data moves, flows through and influences organizations, meaning that CDOs will have a natural advantage in pursuing that career path and continue to exert tremendous influence in the enterprise.” – Heath Thompson, president & GM, Quest Software

 

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