As more companies migrate to the cloud, they face heightened risks related to data breaches, compliance issues, and misconfigured cloud settings. Anshu Bansal, Forbes Council Membder and founder/CEO of CloudDefense.AI, shares an article discussing significant cloud security challenges that businesses encounter and offers strategies for overcoming them. One major challenge is the complexity of cloud environments, which can lead to vulnerabilities if not managed properly. Additionally, businesses often struggle with a lack of visibility and control over their cloud resources, making it difficult to detect and respond to threats. Another critical issue is the shared responsibility model of cloud security, where both the provider and the user have roles in protecting data. Many organizations are not fully aware of their responsibilities, leading to security gaps. Insider threats also pose a significant risk, as employees may unintentionally compromise security or become targets for malicious actors. Furthermore, the rapid pace of cloud technology evolution can make it challenging for businesses to keep their security measures up to date. To address these challenges, Bansal emphasizes the importance of adopting a comprehensive cloud security strategy. This includes implementing robust identity and access management practices to ensure only authorized users can access sensitive data. Regular security audits and risk assessments are also crucial for identifying vulnerabilities and ensuring compliance with regulations. Training employees on cloud security best practices can help mitigate insider threats and reinforce a culture of security. Utilizing automation and advanced security tools can enhance threat detection and response capabilities, allowing businesses to react quickly to incidents. The article also highlights the importance of maintaining clear communication with cloud service providers to understand shared responsibilities and ensure alignment on security protocols. Finally, fostering a proactive security mindset and continuously adapting to the evolving threat landscape are essential for safeguarding cloud environments. By addressing these challenges head-on, businesses can better protect their data and maintain trust with customers.
Forbes Council Member and SAP S/4HANA Cloud Solution Architect RahulBhatia shares an article that provides a comprehensive guide on planning a public cloud ERP implementation. It emphasizes the importance of thorough preparation and strategic planning to ensure a successful transition to cloud-based ERP. One of the first steps is to define clear objectives and outcomes for the implementation project, aligning them with overall business goals. The article suggests conducting a needs assessment to identify specific requirements and gaps in current systems. Engaging stakeholders early in the process is crucial, as their input can guide decision-making and foster buy-in. Bhatia recommends forming a dedicated project team with representatives from various departments to ensure diverse perspectives. A detailed project timeline with milestones should be established to track progress and maintain momentum. Choosing the right vendor is another critical step; organizations should evaluate potential partners based on their expertise, track record, and support capabilities. The article highlights the necessity of budgeting for not just the initial implementation but also ongoing maintenance and potential scaling needs. Training and change management are essential components, as employees must be equipped to adapt to new systems and processes. The guide also stresses the importance of data migration and integrity, advising organizations to develop a robust plan for transferring data to the new ERP system. Testing the system before going live is crucial to identify and address any issues. Post-implementation support and continuous improvement should be part of the long-term strategy, ensuring the ERP system evolves with the organization’s needs. Bhatia encourages organizations to remain flexible and open to adjustments throughout the implementation process, as challenges are likely to arise. By following these guidelines, businesses can enhance their chances of a successful public cloud ERP implementation that delivers long-term benefits.
- Select a task.
- If the assignment is temporary, specify the Startand Stop Dates.
If the assignment is not temporary but will begin on a future date, specify a Start Date only.
If the assignment is immediate and permanent, leave the date fields blank.
- Click Save.
Alternatively, you can use this procedure:
- Select User Configuration> Task.
- Select a task.
- In User Tasks, select Actions> Create.
- Select a user from the User list.
- If the assignment is temporary, specify Startand Stop Dates.
- Click Save.
There are many pros and cons when using the hybrid cloud model. When utilized right, businesses can leverage hybrid cloud solutions while ensuring their data is secure, efficient, and cost-effective. Ray Sullivan, Vice President of Product Management for Rocket Software, shares an article on TechRadar that discusses strategies for optimizing business data in a hybrid cloud environment. It emphasizes the importance of effectively managing data across both on-premises and cloud infrastructures to enhance performance, security, and cost efficiency. Data integration faces significant challenges with traditional methods, which are resource-intensive and slow, often leading to data replication and synchronization issues. These methods struggle to keep up with the fast-paced changes in business needs and technology, resulting in inconsistencies in data analysis and reporting. A tailored approach to data integration is crucial, particularly in hybrid cloud environments that require effective management of on-premises and cloud data. Successful integration hinges on robust features like encryption, security controls, and efficient data replication, which facilitate real-time synchronization and reduce costs. Real-time data synchronization enhances organizational agility, allowing businesses to quickly identify trends and adapt to market changes, especially in dynamic environments. Sullivan notes that by leveraging cloud capabilities and integrating seamlessly with existing IT infrastructure, companies can drive innovation and growth while maintaining operational efficiency. Overall, effective data management through real-time replication and synchronization is essential for maximizing the benefits of a hybrid cloud setup, transforming unused digital assets into valuable resources for strategic decision-making and future planning.
If you’re receiving this error, its usually a simple fix. Also note your IBM Websphere SystemOut.log should be throwing exception errors as well.
First let’s make sure no crystalras.exe processes are using a lot of CPU power, if they are zeroed out, chances are no one is in the system attempting to run a report:
Once that is verified, open up the Central Configuration Manager directly on the LBI server and highlight your SAP Crystal Reports Server processes, click STOP
Wait 10 seconds while they are in STOPPED status, then select and start them back up.
Now log back into LBI and try to run reports.
If this is still not working, try to reboot the entire server again. If it’s not resolved, it’s likely something with your configuration settings.
Good luck!
Artificial Intelligence (AI) has the potential to enhance enterprise resource planning (ERP) functionalities, though many businesses may not yet require an AI-enabled ERP. Angela Tekulve, principal consultant at The Gunter Group, shares an article on ERP Today explaining how AI isn’t a requirement for your ERP systems just yet. Traditional ERP systems still meet the needs of many organizations, providing the necessary functionalities without the added complexity of AI. Tekulve points out that the implementation of AI in ERP can be costly and complicated, often requiring significant time and resources for integration. Additionally, many companies may not have the data quality or quantity necessary for AI to deliver meaningful insights. Businesses should first focus on optimizing their existing ERP systems before considering AI features. The article also notes that the hype surrounding AI can lead to unrealistic expectations, making it crucial for organizations to assess their actual needs. AI can be beneficial for specific use cases, but it’s not a one-size-fits-all solution. Tekulve encourages companies to evaluate their current processes and determine if an AI-enabled ERP would provide tangible benefits. Moreover, the article highlights the importance of change management and employee training in the successful adoption of any ERP system, including AI-enabled ones. Many organizations may struggle with the cultural shift that AI integration necessitates, making it important to prepare staff accordingly. Tekulve concludes that while AI in ERP systems holds promise for the future, businesses should not rush into adoption without careful consideration of their unique circumstances. Instead, they should focus on maximizing the value of their current systems and ensure they have the right infrastructure and data in place before pursuing AI capabilities.
Infor’s Will Quinn, supply chain and logistics expert, discusses on Enterprise Times the transition from Industry 4.0 to Industry 5.0 in manufacturing, emphasizing the need for a more human-centric approach. Industry 5.0 aims to integrate advanced technologies like AI and robotics with human skills, fostering collaboration between machines and workers. This shift is driven by the desire for increased personalization, sustainability, and resilience in production processes. Quinn highlights how Industry 5.0 focuses on enhancing the role of humans in manufacturing, promoting creativity and innovation. By leveraging data analytics and smart technologies, companies can optimize operations while prioritizing employee well-being. The article also emphasizes the importance of sustainability, with manufacturers urged to adopt eco-friendly practices and circular economy principles. Moreover, he outlines the challenges that companies may face during this transition, including the need for workforce retraining and changes in organizational culture. Successful implementation of Industry 5.0 will require collaboration between various stakeholders, including governments, businesses, and educational institutions. Quinn concludes by stating that embracing Industry 5.0 can lead to more resilient and adaptable manufacturing sectors, ultimately benefiting both the economy and society.
If you have a job in job schedular that has a status of Waiting or Waiting on Time and you would need it to run immediately, you can assign the highest priority to the job and it will run immediately on the designated queue regardless of how congested the job queue is. If another job that calls the same program in the same data area is already running, however, the selected job is given a status of Waiting Step and is still listed on the Waiting Jobs form.
To run a waiting job immediately
- Access Job Scheduler and click the Waiting Jobs button.
- Select the Waiting or Waiting on Time job that you want to run.
- From the Actions menu, select Run Job Immediately.
- If you want to change the job queue, select the name of the job and click Change.
This job queue overrides the job queue assigned for the job when it was submitted. If you do not assign a job queue, Job Scheduler assigns the default job queue (**********).
Artificial Intelligence (AI) and innovations in data continue to transform and define business success. This year we’ll see more prevalence in AI and other innovations. Venkat Achanta, EVP and CTO of TransUnion, shares an article on CIO.com prediction technology trends emerging this year and beyond. “The reality is that AI is here to stay and will play a massive role in the future of global technology, how consumers interact with it and the way businesses operate,” Achanta notes. Below are his five predictions on how emerging technology, including AI, and data and analytics advancements will help businesses meet their top challenges in 2025 – particularly how their technology investments will drive future growth.
- Prediction #1: AI will enable omni-channel, interaction-based identity to maximize every customer’s experience and value.
- Prediction #2: Brands will differentiate and delight with Gen AI and extreme customer insight.
- Prediction #3: Superior guardrails and governance will spur innovation.
- Prediction #4: 2025 will be a RAG to riches AI story.
- Prediction #5: There will be a new wave of Data and Analytics DIY.