Positive Pay File Creation (CB170)

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Positive Pay File Creation (CB170) produces a flat file containing bank required payment information for issued, voided and stop paid payment transactions that have been processed since the last run of the CB170 for the cash code and transaction code.

NOTE: The first time the CB170 is run for a cash code, it will only report on open transactions.

The positive pay file is then sent to the bank to be used to confirm checks presented for payment have not been altered.

Since there are no standard file layouts, you will need to use an external mapping tool to reformat the file into the specific bank format. Use this procedure to define a positive pay file.

  1. Access Positive Pay File Creation (CB170)
  2. Consider the following fields.
    • Cash Code – Enter or select the cash code for which the report is being run. Enter or select one of Cash Code, Cash Code Group, or Cash Code List.
    • Cash Code Group – Enter or select the cash code group for which the report is being run. Enter or select one of Cash Code, Cash Code Group, or Cash Code List.
    • Cash Code List – Enter or select the cash code list for which the report is being run. Enter or select one of Cash Code, Cash Code Group, or Cash Code List.
    • Transaction Code – Enter or select the transaction code for which the report is being run.
    • Report Option – Select Full Detail or Summary print option.
    • Filename – Enter a name for the positive pay file. If this field is left blank, the report creates a file named CB170POSPAY.

Zofri Chooses Infor WMS as its Warehouse Management System

Infor recently announced that Zofri, Zona Franca de Iquique, will implement Infor WMS warehouse management system to improve customer service and supply chain automation. The Infor WMS solution will be deployed in the cloud, which is powered by AWS (Amazon Web Services), and will be implemented by Cerca Technology, Infor’s partner in Latin America.  Per the press release, Zofri is one of the most important centers of commerce and industry in South America and has more than 2,000 companies from various countries operating at its sites. As a leading logistics operator, Zofri needed a software tool that could help it better manage the flow of goods and improve customer service. They selected Infor WMS because it checked off many needs for their new ERP system including scalability, inventory management, and supply chain automation. The first phase of the project will see the company increase efficiency in its processes and improve response times to customers. Additionally, Infor WMS will help the company continue to develop its commercial competitiveness when offering services to companies in the Chilean market.

 

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Bridging the Gap: Synchronizing On-Premises Data Centers and the Cloud with AWS Data Migration Service (DMS)

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Introduction:

In today’s hybrid IT environments, where organizations operate both on-premises data centers and cloud infrastructure, synchronizing data between these environments is critical. AWS Data Migration Service (DMS) offers a powerful solution for bridging the gap between on-premises data centers and the cloud. In this article, we will explore how you can leverage AWS DMS to synchronize changes between your on-premises data center and the cloud, ensuring data consistency and enabling real-time decision-making.

 

Setting Up the Replication:

To synchronize changes between your on-premises data center and the cloud, you need to set up replication using AWS DMS. Begin by deploying an AWS DMS replication instance in your AWS account, which serves as the migration engine. Configure the source endpoint for your on-premises database and the target endpoint for your cloud-based database service. AWS DMS supports various source databases, such as Oracle, Microsoft SQL Server, MySQL, and PostgreSQL. Ensure that your on-premises database is accessible from the AWS DMS replication instance.

 

Change Data Capture (CDC):

Change Data Capture (CDC) is a crucial feature provided by AWS DMS for real-time data synchronization. By enabling CDC, DMS captures and replicates only the changes made to the source database, ensuring that the target database remains up-to-date with the latest data. CDC can be configured at the table or database level, depending on your requirements. This capability minimizes data transfer and reduces the impact on network bandwidth, allowing near real-time synchronization between the on-premises data center and the cloud.

 

Network Connectivity and Security:

To synchronize changes between the on-premises data center and the cloud, a secure and reliable network connectivity is essential. AWS provides Virtual Private Cloud (VPC) and Direct Connect services to establish secure connections between your on-premises network and AWS cloud infrastructure. It is crucial to configure network security groups, firewalls, and routing rules to allow traffic between the on-premises data center and AWS resources. Follow AWS security best practices and ensure encryption of data in transit to maintain data integrity and confidentiality.

 

Monitoring and Managing Replication:

AWS DMS provides monitoring capabilities that allow you to track the progress of replication and detect any issues or delays. Utilize the AWS DMS console or leverage AWS CloudWatch to set up alarms and notifications for critical events. Monitoring replication latency, throughput, and error rates helps you identify potential bottlenecks and take proactive measures to optimize the synchronization process. Regularly review replication logs and metrics to ensure the health and performance of the replication tasks.

 

Handling Data Conflicts:

During the synchronization process, it’s possible to encounter data conflicts between the on-premises data center and the cloud. Conflicts can occur when the same data is modified in both locations simultaneously. AWS DMS provides conflict detection and resolution mechanisms, allowing you to define conflict resolution rules based on your business logic. By establishing clear conflict resolution strategies, you can ensure that data integrity is maintained and conflicts are resolved according to your defined priorities.

 

Disaster Recovery and High Availability:

Synchronizing data between on-premises and the cloud also enhances disaster recovery and high availability capabilities. By replicating data in near real-time, you can maintain a replica of your on-premises database in the cloud, enabling quick failover in case of a disaster. This replication approach ensures business continuity and minimizes data loss. Additionally, the cloud provides scalable and highly available infrastructure, which enhances the overall reliability and resilience of your data architecture.

 

Scalability and Cost-Effectiveness:

AWS DMS offers scalability and cost-effectiveness for synchronizing changes between on-premises data centers and the cloud. The service allows you to scale the replication instances based on your workload requirements, ensuring optimal performance during peak periods. Moreover, AWS offers a pay-as-you-go model, allowing you to pay only for the resources you use. This cost-effective approach eliminates the need for significant upfront investments in infrastructure and provides flexibility as your data synchronization needs evolve.

 

Conclusion:

AWS Data Migration Service (DMS) provides a robust solution for synchronizing changes between on-premises data centers and the cloud. By leveraging the power of DMS, organizations can achieve real-time data synchronization, enabling faster decision-making, enhancing disaster recovery capabilities, and embracing the scalability and cost-effectiveness of the cloud. With proper planning, network connectivity, and monitoring, AWS DMS empowers organizations to bridge the gap between on-premises and the cloud, unlocking the full potential of a hybrid IT environment.

What Is Generative AI?

Artificial Intelligence (AI) is no doubt a basic part of our digital world and is changing our lives every day. The big development in AI at the moment is generative AI. But what exactly is it? Bernard Marr, international best-selling author, popular keynote speaker, futurist, and a strategic business & technology advisor, shares an article on Forbes breaking down this sub division of AI and its current and potential applications in almost every aspect of our lives. “Just like it sounds, it’s AI that can create, from words and images to videos, music, computer applications, and even entire virtual worlds,” says Marr. “What makes generative AI different and special is that it puts the power of machine intelligence in the hands of just about anyone… The new generation of generative AI tools gives us the power to build and create in amazing ways. With a little practice, we can even use them to build our own AI-powered apps and tools.”

Below, Marr breaks down the basics of Generative AI and its applications, as well as the current consensus on how this type of technology can help or even harm the way we work.

What makes Generative AI different from the others? “One distinction that’s worth understanding is the difference between generative AI and discriminative (or predictive) AI. Discriminative AI focuses mainly on classification, learning the difference between “things” – cats and dogs, for example. This is what’s used in recommendation engines like those used by Netflix or Amazon to distinguish between things you might want to watch or buy and things you’re unlikely to be interested in. Or in navigation apps to distinguish between good routes from A to B and ones you should probably avoid. Generative AI, instead, focuses on understanding patterns and structure in data and using that to create new data that looks like it.”

So What Can Generative AI Do? The first use cases for generative AI typically involved creating text and images. Since then, it has expanded its offering and can also be used to curate data-specific coding, audio, videos, data augmentation and virtual environments to name a few.

How Does It Work? Marr explains, “Like all of the AI we see today, generative AI grew out of a field of AI study and practice called machine learning (ML). While traditional computer algorithms are coded by a human to tell a machine exactly how to do a particular job, ML algorithms get better at their jobs the more data they are fed. Put a bunch of these algorithms together in a way that allows them to generate new data based on what they’ve learned, and you get a model – essentially an engine tuned to generate a particular type of data. Some examples of models used in generative AI applications include Large Language Models (LLMs), Generative Adversarial Networks (GANs), Variational Autoencoders, Diffusion models, and Transformer Models.”

Generative AI in Practice. There are already many uses of the application of generative AI such as advertisements for companies like Coca-Cola, a newly written Beatles song, generative designed lighter and stronger seatbelt brackets for General Motors automobiles, and the world’s  first AI-generated immunotherapy cancer treatment. Marr adds, “Generative AI is also the technology behind the recent phenomena of deepfakes, which blur the lines between reality and fiction by making it appear as if real people have done or said fake things.”

The Ethical Questions Around Generative AI. While generative AI is capable of amazing things, Marr does point out the difficulties in this technology. “Perhaps one of the biggest is when we will get to the point where it’s impossible to tell the difference between what’s real and what’s generated by AI. Which leads to the question of what (if anything) we should do about it,” says Marr. “And then there’s the question of how this will affect human jobs – will the livelihoods of creators be threatened if the companies that employ them can create as many images, sounds and videos as they need just by telling a computer to do it?” Lastly, the issue of copyrighting comes to play. Who owns the product created by AI? Of course all of these questions need to be answered. But, as Marr concludes, how we answer them may well play an important role in determining the future of generative AI in society and in our lives.

 

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The Top 5 Tech Trends In 2024 Everyone Must Be Ready For

We may have just entered the fall season, but in a blink of an eye 2024 will be here. With that, we need to already be looking in to what the next year has in store for use technology-wise. Bernard Marr, strategic business & technology advisor, shares an article on Forbes of some of the game-changing trends, along with his predictions for how each of them will impact life, society and the planet.

 

Generative AI – Everyday Automation
“As generative AI finds its way into more of the applications we use every day, from search engines to office software, design packages and communications tools, people will come to understand its potential. Used properly, it’s like having a super-smart personal assistant on hand 24/7, making us more efficient, faster and more productive. Most importantly, by handing over our everyday menial brainwork – obtaining information, scheduling, managing compliance, organizing ideas, structuring projects – to AIs, we will find ourselves with more time to leverage our truly human skills. We will spend more time being creative, exploring new ideas and original thinking, or communicating with humans rather than programming machines. The genie is out of the bottle, and while there are undeniable challenges around ethics and regulation that still have to be solved, I believe 2024 will be the year when everyone starts to understand just how transformative generative AI will be to our lives.”

 

Phygital Convergence
“The real and the digital are becoming increasingly intertwined. Technologies like augmented reality (AR), virtual reality (VR) and the immersive internet are breaking down barriers between the physical world and the digital domains where we are spending more and more of our time. More so than ever before, we exist as digital avatars within virtual environments. This is true for work, where we collaborate remotely through platforms like Zoom, Teams and Slack, and play, where online gaming and e-sports are more popular than ever. We use social apps like TikTok and Instagram to create virtual spaces where we share moments from our “real” lives – curated and filtered to create digital personalities that become our virtual selves. In 2024, we will continue to see less and less distinction between the real world and the virtual world. This means the digital is becoming increasingly realistic, and the real is becoming as flexible and malleable as the digital.”

 

Sustainable Technology
“Sustainable technology will continue to take center stage during 2024 as countries and corporations continue to work on meeting net-zero commitments. At the same time, individuals will increasingly leverage technology in order to minimize their personal impact on the environment. Challenges that developers and users of sustainable technology will need to face during 2024 will include a need to develop ethical and sustainable methods for sourcing and extracting materials needed for manufacturing devices, infrastructure demands created by changing consumer habits such as the adoption of electric vehicles, and potential disparities between different geographic or socio-economic groups in their ability to access green alternatives. We will also become increasingly alert to the presence of greenwashing – superficial efforts intended purely to generate positive PR around a particular technology.”

 

Cyber Resilience
“Cyber resilience goes beyond cyber security as it also encapsulates measures that can be taken to recover and ensure continuity when defenses are breached or due to circumstances beyond our control. This might mean having remote working procedures in place to ensure businesses can function when staff can’t get to central locations – a technology solution that might not traditionally be considered an element of cyber security. Automation of cyber defense through AI and machine learning, integrated frameworks that merge security measures with continuity protocols and awareness of societal factors from social engineering attacks to PR firefighting are all essential elements of any cyber resilience strategy. Cyber threats are becoming more sophisticated, and competition to bring new solutions leveraging breakthrough technologies like AI to market is intensifying. This ensures that cyber resilience will become an increasingly prominent trend throughout 2024 across business and consumer technology.”

 

Quantum Computing
“Quantum computers are capable of carrying out vast numbers of calculations simultaneously by harnessing weird and wonderful elements of quantum physics, such as quantum entanglement and superposition. This enables them to operate using quantum bits (qubits) that can exist in multiple states simultaneously, rather than a state of either 1 or 0, like traditional computer bits. Quantum computing doesn’t speed up every job we use computers for, but in 2024, I think we will start to see benefits as it’s applied across various compute-heavy fields, including drug discovery, genome sequencing, cryptography, meteorology, material science, optimization of complex systems such as traffic flow through large cities, and even the search for extraterrestrial life. These are all fields that hold enormous potential for solving challenges facing us and our planet, and I’m very excited to find out what breakthroughs will be achieved with the help of quantum computing in the near future.”

 

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How to rearrange LBI dashboard tabs

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You may have read my “Creating an LBI Dashboard Series” articles and have many dashboards created at this point and are wondering how to rearrange their order.

  1. To do this, first Login into LBI and determine what order you want your dashboards to appear as you won’t see there order change live.
  2. Select your first dashboard tab
  3. Select the + sign on the top left >> EDIT
  4. Under Main, edit the Row Number to determine the order and select the Display as Tab option:
  5. The lower the Row Number, the farther left they are.

That’s all there is to it!

 

Many organizations opt to engage Lawson consultant teams for managing their Lawson Business Intelligence (LBI) system. These consultant teams offer managed services at a fixed monthly rate and possess extensive knowledge and expertise in managing LBI. This service is particularly suitable for larger organizations, but smaller organizations that do not require a full-time Lawson employee on-site may also find it beneficial. Nogalis provides this service, and you can contact us via our contact page for further information.

Infor Feeds into Digital Strategy at Nutreco

Infor recently announced that Nutreco, a global leader in nutritional solutions and services for the aquaculture and animal nutrition industry, has deployed Infor CloudSuite Food & Beverage, powered by Amazon Web Services (AWS). Per the press release, Nutreco showcases of the scalability and robustness of Infor’s public cloud services and multi-tenant industry cloud platform. Fully integrated with Nutreco’s third-party systems, the platform (labelled “Unite”) facilitates standardization and the creation of worldwide aggregated reports. These provide insights to improve integrated business planning cycles for the feed leader and manage the most effective stock levels and deliveries on time. Additionally, Nutreco’s digital strategy was looking for a global cloud-based enterprise resource planning (ERP) platform that could consolidate, contextualize and communicate critical information for 3,600 users. The new Infor Unite platform harmonizes business processes and de risking operations. In addition, functionality, maintenance, operations, security, and legal updates are all deployed automatically to ensure Nutreco’s solution is always current. Moreover, sustainability sits at the heart of Nutreco’s strategy and agenda, and the company has been publishing an annual sustainability report since 2016. All relevant data points are organized within the Unite system in a multi-dimensional, tagged format, which enables Nutreco to generate transparent and automated sustainability reports effortlessly.

 

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MHC An error occurred while viewing – Printer Issue

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You may come across this error at some point – “MHC An error occurred while viewing – Printer Issue” (see screenshot)

 

This means that the printer below for this account is no longer valid.

 

See Print routine data here:

 

To update this, first add the network printer to server where Document Express is installed via windows Add New Device.

Once located, then double click within the box where the existing printer is and select the new one:

 

Save the changes and click view to see if the document shows up. You should now be able to print in Document Express and the error will disappear.

Three Tech Trends Impacting Public Health This Decade

The COVID-19 pandemic in 2020 saw a significant shift in the way we did things in our personal and professional lives. In public health, many technological breakthroughs saw a significant and lasting impact for many of us. Jennifer Nuckles, Forbes council member and CEO at R-Zero, points out that there have been a number of technological innovations over the last decade that have had unprecedented opportunities to transform public health. Below, Nuckles dives into three tech trends that continues to impact public health almost every age group and population today and for the future as we know it.

 

Telehealth
“Obviously, the stay-at-home orders during Covid-19 resulted in an explosion in telehealth. But even as the pandemic has eased, telehealth continues to see rapid growth. Projections estimate telehealth will be a $286.22 billion industry by 2030. Some of the most significant benefits of telehealth include improved accessibility for underserved populations, decreases in hospital readmissions, increased adherence to treatment plans, reduced exposure to illness for caregivers and patients and increases in satisfaction of care for caregivers and patients.”

 

Artificial Intelligence
“AI is already making its mark across a wide breadth of industries, and public health is no exception. By mining its virtually unlimited trove of resources, AI tools can help humans with interpretation, a key facet of the work done by medical professionals. Perhaps the most exciting thing about AI’s effects on public health is that the best is seemingly yet to come. AI gets smarter and learns more by the second, and the possibilities of what AI can accomplish in the medical industry are exciting to consider.”

 

Indoor Air Health
“Issues with indoor air quality have gone unchecked for too long. Coming out of the pandemic, there have been significant strides made in improving the health of indoor air. In May, the Centers for Disease Control and Prevention released a new health-based ventilation target to improve indoor air, with the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) releasing its own enhanced ventilation standard shortly after. These new standards ensure accountability and change for ventilation in indoor spaces, which previously existed without a target goal. Poor ventilation has been linked to various physical and mental health effects. In fact, new research my company conducted with The Harris Poll shows that roughly one-half of Americans say their physical (44%) and mental (51%) health is negatively impacted by being indoors for long periods of time.”

 

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EFL Global Sets Sail with Infor Nexus

Infor Nexus™, the leading global supply chain platform, recently announced that EFL Global will implement the Infor Nexus platform and join its logistics service provider (LSP) community. Per the press release, EFL Global is an international logistics and supply chain industry leader. They will leverage the machine learning and predictive analytic capabilities of the Nexus platform to enhance its supply chain operations and better serve its clients. By integrating the Infor Nexus platform, EFL Global will gain a greater level of visibility, insight, and collaboration throughout its entire supply chain. Real-time signals, precise ETAs, and community data on the network will enable EFL Global to provide accurate container event data, anticipate industry disruptions, and reduce costs for its clients. In addition, the company will benefit from the broader ecosystem and can leverage Infor Nexus’ 20 years of global network data, applying machine learning and artificial intelligence into predictive modeling. With the Infor Nexus platform, EFL Global can also provide a combination of status updates (milestones) from carriers and partners, along with live GPS location data to give a complete view of where a shipment is, where it’s going, and when it will get there. EFL Global’s clients will also benefit from community data on the network that can alert them to events such as port delays, bad weather, labor issues, and all other issues that could impact their shipments.

 

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