The advantages and disadvantages of ERP systems

Enterprise resource planning (ERP) solutions offer organizations a one-stop-shop for managing daily operations. The business management software has gained popularity in the business world as organizations try to keep up with the changing landscape. As with most business solutions, there are advantages and disadvantages of ERP systems to consider.

It’s important to understand how enterprise resource planning can work for an organization and its capabilities at a granular level. Here are some key benefits an enterprise resource planning system can bring when managing all aspects of the business.

Advantages of ERP

Improve customer service

The business world is hyper-competitive and that’s no different when it comes to attracting and retaining customers. The customer service experience is a vital part to an organization and an ERP solution can help advance customer relationship management. Since a new system like ERP software puts all customer information into one place, it can facilitate quicker customer service and a more personalized approach.

ERP stores contact information, order history, past support cases and more in one simplified system. Separately, since ERP will track past orders and real-time inventory the customer is much more likely to receive the correct items on time. If those factors are in place, it’s much more likely a customer leaves happy and will return for more down the road.

Customize reporting

Real-time data reporting is one of the highlights of an ERP solution and why it’s a serious advantage over other business management systems. With ERP reporting tools, organizations can customize reporting across many different functions, such as finance, inventory, procurement and human resources and be able to calculate it depending on what matters most to the organization. This tailor-made approach lets the business measure whichever KPIs they find most important and track performance of different business components.

The other advantage is ERP offers the latest data in real-time. This means if an employee is trying to assess an issue, they don’t have outdated data to analyze and instead have the most accurate and up to date numbers to refer to. The customized reporting can help an organization make informed decisions, which is critical when the business environment is ever-changing.

Expand collaborations

The way that ERP solutions are built make for excellent collaboration across different departments. With integrated applications and data storage all under one solution, teams get a clear picture into how each is functioning and contributing to the business.

With the enterprise resource planning system in place, teams across the organization can communicate freely as they aren’t functioning on separate platforms. The integration on the back-end is extremely important and helps employees integrate and work as one. With access to all data, one employee on a completely irrelevant team might be able to point out a malfunction or something that cuts down on duplicate work. This expanded collaboration can increase decision-making, while being a single source of truth for all data entry.

Greater sustainability

The fast-paced ever changing business world has seen a big emphasis on sustainability. C-suites are facing pressure from boards, investors, customers and others to regulate the negative impact of their carbon emissions.

To find out how organizations use ERP implementation to attain sustainability goals, the IBM Institute for Business Value (IBV) and SAP, in collaboration with Oxford Economics, surveyed more than 2,125 senior executives involved in their organizations’ environmental sustainability strategies—around the world and across industries. The surprising result: those who outperform their competition in both environmental and financial outcomes also boast the most deeply engaged ERP implementation.

Improve transparency and insights

One of the benefits of ERP is that it offers full access to every business function and process in an organization all in one place. With the implementation of ERP, data from every department can be accessed by executive-level employees. The ERP solution monitors data daily and can provide day-to-day information, helping an organization be as precise as possible when it comes to factors such as inventory levels and business operations.

The complete visibility ERP provides gives organization leaders better functional business insights and more accurate business forecasting. As a result, this can streamline tasks and make clearer, more concise workflows. In addition, having accurate forecasting models is a competitive advantage, as they allow for improved data-driven strategy and decision-making. As ERP can monitor each department and keep all data in one place, there’s an opportunity for more efficient processes and improved cross-collaboration. In addition, ERP can improve business data security across the whole organization for both on-premises and cloud-based ERP systems.

An example of the success of an ERP implementation is Neste, a market leader in renewable diesel, sustainable aviation fuel, and renewable polymers and chemicals based in Espoo, Finland. The company took a joint-team approach when it came to implementing its new ERP system. Neste worked with IBM Consulting™ for SAP to roll out the SAP S/4HANA solution on the Microsoft Azure cloud across most of its operations, including its renewables supply chains. Neste’s new ERP platform is enabling supply chain process efficiency improvements and making its data more transparent. “Among the most far-reaching benefits,” notes Neste Head of Integrated ERP, Marko Mäki-Ullakko, “is the ability to spot and resolve process inefficiencies.”

“We’ve been able to use SAP’s process discovery capabilities to spot supply chain and production bottlenecks,” he explained. “In that way, integrated SAP has been and will be a critical tool for our process optimization efforts.”

Increase flexibility and scalability

One of the unique features of ERP software is the inclusion of applications or modules across many different business needs. ERP applications, such as procurement, supply chain management, inventory and project management, are all separate applications offered under ERP.

ERP applications can stand on their own but can also be integrated in the entirety of the ERP system, making for easier scalability and configuration in an organization. By being able to add or take away applications, ERP can help scale a business as it evolves over time.

Scalability will look different depending on which ERP solution your organization chooses to use. If a business plans to grow rapidly over time the cloud-based ERP system is the best choice since cloud ERP systems are run on remote servers.

Increase productivity

By automating different tasks, ERP software frees up employees to work on more pertinent tasks and increased efficiency. The ERP system boosts productivity in a range of different ways that all stem from the automation of basic tasks and making processes more straightforward. With the streamlined approach from an ERP system, there is less time dedicated to digging up information and allows for employees to perform other tasks faster. Manual data entry is not necessary, making tasks such as inventory management much easier and making metrics tracking much simpler.

With a lens into the entire organization, employees are no longer tasked with tracking down the right data set or the employee who knows how a certain process works and can instead focus on more important tasks and projects. ERP solutions offer these features using technology, such as artificial intelligence (AI), machine learning, robotic process automation and more. These technologies support the automation and intelligent suggestion features in ERP software applications.

Reduce ongoing costs

The way an ERP solution is structured makes it so data input only occurs one time but can serve multiple purposes across the organization. This can result in saving the business time and money as it streamlines redundant tasks. The upfront costs and cost savings will also depend on which type of ERP solution you choose.

Without a centralized ERP software solution, organizations rely on numerous systems to run the business. The more systems, the higher the potential IT costs. An ERP system could potentially reduce those costs. Separately, it could also reduce training requirements for the end-user since they would only need to learn on one system. This could result in more profitability and less disruptions.

Standardize business processes

The purpose of implementing an ERP solution is to highlight and build from an organization’s best practices and consistencies. This allows you to streamline operations and standardize workflows, ultimately to reduce manual labor and human error across your business. Platforms such as customer relationship management (CRM) can simply be integrated into the ERP system.

ERP software offers many advantages, but standardization is one of the most important. By relying on standardization and configuration, organizations could also see reduced project costs and better cross-team collaboration with less friction.   

Disadvantages of ERP

Increase complexity

ERP is an all-encompassing business management tool, and it can be quite complex. The software can be exciting. Organizations can get caught up in that excitement and risk failing to make a well-thought-out plan for ERP implementation.

The processes of some organizations may find the ERP solution to be too large and not well-suited for its needs. This can result in a poor ROI and should be avoided if possible. The best way to avoid these pitfalls is to build role-based user training and simplify your ERP software to fit your organization’s needs.

Add short-term costs

There are multiple factors to consider when thinking about switching to an ERP software. One of them is cost; not only the cost of the software, but the cost of time and resources needed to implement the system and train employees across all departments.

Another aspect of cost is the ongoing operational costs required of an ERP solution, specifically an on-premises ERP solution. The best way to avoid this ongoing cost is to utilize a cloud-based ERP system, which is a Software-as-a-Service (SaaS) solution that can be run from any location.

One other factor to consider is the change management that is required when implementing an ERP system. ERP implementation requires changes to business processes and workflows. These changes are major investments in time and resources. When selecting ERP software, consider these factors and select the system type that best fits your organization’s needs.

More time-consuming

Since ERP is customizable, and not a one-size-fits-all software, it can become very time-consuming. Customization is a huge advantage to the ERP solution, but can be a challenge as it needs to be built from the ground up.  

An implementation process takes time; organizations must prepare for a lengthy process. The time it takes to transfer to the ERP system depends on which legacy system is being used. The best way to avoid this issue is, again, to have an ERP implementation plan in place that is clear, concise and includes an assigned implementation team.


The migration from a legacy system to ERP software can be a huge undertaking no matter the size of the organization. When considering an ERP solution, it’s important to bring in experts to help run a smooth and transparent implementation plan.

IBM Consulting® experts can help your organization successfully migrate legacy ERP applications to the cloud, redesign processes to leverage data, AI and automation, and transform finance into a competitive advantage within your business.

SAP managed services for applications and ERP can help manage an organization’s workloads, giving you more time to focus on innovation and new opportunities. Managed services for SAP applications enable agility and resource optimization by supporting and optimizing underlying operational functions. Areas like security and compliance reporting, application management, and service delivery to lines-of-business become more predictable from a pricing, resource and workload perspective.

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Watsonx: a game changer for embedding generative AI into commercial solutions

IBM watsonx is changing the game for enterprises of all shapes and sizes, making it easy for them to embed generative AI into their operations. This week, the CEO of WellnessWits, an IBM Business Partner, announced they embed watsonx in their app to help patients ask questions about chronic disease and more easily schedule appointments with physicians.

Watsonx is comprised of three components that empower businesses to customize their AI solutions: offers intuitive tooling for powerful foundation models; enables compute-efficient, scalable workloads wherever data resides; and the third component, watsonx.governance, provides guardrails essential to responsible implementation. Watsonx gives organizations the ability to refine foundation models with their own domain-specific data to gain competitive advantage and ensure factual grounding to external sources of knowledge.

These features—along with a broad range of traditional machine learning and AI functions—are now available to independent software vendors (ISVs) and managed service providers (MSPs) as part of IBM’s embeddable software portfolio, supported by the IBM Ecosystem Engineering Build Lab and partner ecosystem.

The watsonx platform, along with other IBM AI applications, libraries and APIs help partners more quickly bring AI-powered commercial software to market, reducing the need for specialized talent and developer resources.

A platform prioritized for enterprise AI

IBM is focused on helping organizations create business value by embedding generative AI. Watsonx provides the functionality enterprise developers need most, including summarization of domain-specific text; classification of inputs based on sentiment analysis, threat levels or customer segmentation; text content generation; analysis and extraction (or redaction) of essential information; and question-answering functions. The most common use cases from partners often combine several of these AI tasks.

ISVs need the flexibility to choose models appropriate to their industry, domain and use case. Watsonx provides access to open-source models (through the Hugging Face catalog), third-party models (such as Meta’s Llama 2) and IBM’s own Granite models. IBM provides an IP indemnity (contractual protection) for its foundation models, enabling partners to be more confident AI creators. With watsonx, ISVs can further differentiate their offering and gain competitive advantage by harnessing proprietary data and tuning the models to domain-specific tasks. These capabilities allow ISVs to better address their clients’ industry-specific needs.

Let’s explore a few AI use cases that span different industries. 

Exceptional customer care through AI solutions

Today, customers expect seamless experiences and fast answers to their questions, and companies that fail to meet these expectations risk falling behind. Customer service has leapfrogged other functions to become CEOs’ top generative AI priority. Given this trend, companies should be looking for ways to embed generative AI into their customer care portals. To accelerate this process, companies can implement AI-infused customer care commercial solutions. IBM’s embeddable AI technology, such as IBM watsonx Assistant and, allows ISVs to quickly and easily build AI into their solutions, which in turn helps them to reduce time to market and reach their customers sooner.

Watsonx allows enterprises to effortlessly generate conversation transcripts with live agents or automate Q&A sessions. With, they can obtain concise conversation summaries, extract key information and classify interactions, such as conducting sentiment analysis to gauge customer satisfaction. This information will further refine and improve the information available to the agents.

Streamline your procurement process using watsonx

By embedding AI technology in enterprise solutions, organizational leaders can connect disparate, broken processes and data into integrated end-to-end solutions.

For example, supply chain management can be a challenge for companies. The process of changing suppliers can be a time-consuming and complex task, as it requires intensive research and collaboration across the organization. Instead of spending cycles and resources on creating an in-house solution that streamlines this process, companies can implement an AI-infused supply chain management solution developed by ISVs. ISVs are experts in their domain and build their solution with enterprise-grade AI–such as watsonx Assistant,, and–so companies can feel confident in their selection.

Watsonx Assistant can serve as a user-friendly, natural-language Q&A interface for your supplier database. In the background, generates database queries and content like Requests for Proposals (RFPs) or Requests for Information (RFIs), while Watson Discovery analyzes supplier financial reports. acts as a front end for the company’s ERP system, with up-to-date attributes about inventory items, ratings of suppliers, quantities available and so on, along with a third-party data warehouse providing further decision criteria. Thus, teams can work smarter and move toward better, more integrated business outcomes. 

Watch the demo of these use cases, or explore interactive demos in the IBM Digital Self-Serve Co-Create Experience.

Partner success stories

WellnessWits is using watsonx Assistant to create a virtual care solution that connects patients to chronic disease specialists–from anywhere. The platform features an AI-powered chat functionality that can help patients gather information and answers about their chronic disease and facilitates personalized, high-quality care from physicians that specialize in their condition.

Ubotica is leveraging IBM Cloud and in its CogniSAT platform, enabling developers deploy AI models to satellites for a wide variety of observational use cases such as detecting forest fires or space junk. CogniSAT improves the efficiency with which data is stored and processed, providing edge-based analysis onboard satellites.

IBM solution provider Krista Software helped its client Zimperium build a mobile-first security platform using embedded AI solutions. The platform accelerates mobile threat defense response by automating ticket creation, routing and software deployment, reducing a 4-hour process to minutes.

Benefits of building with IBM

ISVs who partner with IBM get more than just functionality. Our team will help you create a solution architecture that helps you embed our AI technology, explore how to monetize your solution set, provide technical resources and even help sell it through our seller network.

IBM Partner Plus, our partner program, provides business partners with a plethora of resources and benefits to help them embed technology. We find the following resonate especially well with partners looking to start their journey of building with IBM: the IBM Digital Self-Serve Co-Create Experience (DSCE), the IBM Ecosystem Engineering Build Lab and the IBM Sales Partner Advocacy Program.

DCSE helps data scientists, application developers and MLOps engineers discover and try IBM’s embeddable AI portfolio across watsonx, IBM Watson libraries, IBM Watson APIs and IBM AI applications. The IBM Ecosystem Engineering Build Lab provides partners with technical resources, experts and support to accelerate co-creation of their solution with embedded IBM technology. The IBM Sales Partner Advocacy Program is a co-sell benefit that encourages collaboration with IBM sales teams when partners sell their solution with embedded IBM technology to IBM clients.

Explore how your company can partner with IBM to build AI-powered commercial solutions today.

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How to implement enterprise resource planning (ERP)

Once your business has decided to switch to an enterprise resource planning (ERP) software system, the next step is to implement ERP. For a business to see the benefits of an ERP adoption it must first be deployed properly and efficiently by a team that typically includes a project manager and department managers as well.

This process can be complicated and feel overwhelming, depending on the needs of your organization. However, once new software is implemented successfully, organizations will ideally see the increases in productivity and cost savings benefits an ERP system can bring to your business. The switch to an ERP system can streamline your business needs and be beneficial to both the end user and entire organization.

Steps to implement ERP 

Below is a breakdown of a step-by-step ERP implementation plan. We’ll start by going through what organizations should do prior to choosing an ERP system and then dive into best practices for implementation success.

1. Discover and plan to implement ERP

Before the ERP implementation process can occur, an organization must assess how its current systems are functioning. This is the first step to a successful enterprise resource planning integration and must be completed prior to choosing an ERP software.

In the first step of this implementation methodology, an organization must review the current system and processes to get a full picture of how the business is working and where there might be pitfalls. In this step, an ERP implementation project team should also be established for decision-making purposes. Areas to assess can include, financial, manufacturing, inventory, sales and more. This step will also be important to understand gaps and current issues, such as process inefficiencies and potential requirements for the ERP system.

Once the review of the organization’s current system, workflow, and everyday functions are assessed it’s time to select the right ERP system that meets your business requirements, such as budget forecasting and pricing. An ERP software can be acquired in this first step if the requirements have been well-defined. These requirements will depend on if an organization uses ERP system on-premises or in the cloud ERP.

A change to a modern ERP system can be very straight forward if there is a clear roadmap and project plan for your ERP deployment. A clear and honest conversation with employees will ensure organizational buy in.

Questions to ask as you define the scope of your organization’s needs:

  • What business functions will be automated by the ERP software?
  • What are the ERP system’s specific data requirements and is it compatible?
  • Which key performance indicators (KPIs) need to be tracked?
  • Is the software scalable and flexible enough to evolve with the organization’s needs?
  • What is the timeframe for implementation and deployment?

2. Create a design and prepare to implement

At this point you’ve chosen the ERP system for your business. The next step is the design phase. This is the step to configure the ERP software solution so it fits your organization’s specific needs.

A new design requires change management to make more efficient workflows, along with the potential need for new business processes that are a better fit with the soon-to-be implemented ERP system. It’s important to have a team within the organization dedicated to this design step and determining an appropriate plan.

Steps to configure the ERP system:

  • Create an organizational structure by defining all the necessary aspects of your business, such as the chart of accounts, cost centers and business units.
  • Customize your ERP software so that it aligns with the existing workflows in place and set up the modules you think your organization will need, such as customer relationship management (CRM), human resources and supply chain management.
  • Set the parameters for user roles and permissions so that you can control everyone’s access across the system and make sure data controls are put in place.
  • Integrate ERP software with other existing systems within your organization like accounting software, inventory management and e-commerce platforms if they apply.

3. Migrate and development

Once the design requirements have been established, the development phase can begin. This involves the customization of the software so that the redesign can occur. The development, or preparation, stage is vital and can be a daunting task; but if done properly, it could help your ERP system function for the long-term.

You have established a redesign, now it’s time to clean and format the current system’s data so that it’s compatible with the new system. In this step, an organization will need to assess and prepare all existing data into a compatible format that fits your new ERP software. Once loaded into the new system and formatted correctly, your first ERP test can be performed. In this step you should also monitor and note the key metrics of your business operation, including any disruptions.

Ways to plan and prepare your data for migration:

  • Complete a data audit of all existing legacy systems and applications to have a clear picture going into the data migration.
  • Categorize the types of data you need to migrate and identify any redundancy by combing through the data and cleaning for accuracy.
  • Define what data transfer method you want to use and test it to be sure it is the right migration process.
  • Make a backup plan and a recovery plan in case errors occur or data is lost.
  • Create a data governance policy and put protocols in place.

4. Test the ERP system

All the preemptive steps have been taken and now it’s time to do some system testing before you go-live. In this stage, development might still occur and that is normal. The testing of one ERP module may occur and fixes or adjustments might need to be made, while other modules are being tested simultaneously. Team members should be put through user training and key stakeholders should be involved in this testing process as well.

It is vital to test the entire system and ensure its functioning properly and running data accurately. This is the most important phase because it will ensure all system applications and processes are running as they should before the ERP software is officially up and running.

Things to remember during the testing phase:

  • Keep track of user acceptance criteria and document the information.
  • Test the system for functionality from start to finish and validate all migrated data for accuracy purposes.
  • Check for user accessibility by conducting reviews and reviewing feedback.
  • Conduct all necessary tests prior to deploying the ERP software, such as testing automation processes, workflows and system security.
  • Ensure the ERP system is compatible with the other existing systems and applications in place.
  • Make sure all employees are trained on the system; consider implementing ERP software in stages before going company-wide.

5. Deliver a successfully implemented ERP system

If the steps above have all been taken, then great news, your organization is ready to launch its new ERP system. Assuming all employees have been properly trained on the software, it’s now time to roll out the new ERP solution.

The project team that started the implementation process should be at the ready in case employees are confused or other potential issues arise. Be prepared for issues and have contingency plans in place if there is a serious malfunction. All ERP modules can be deployed concurrently but can be done in stages as well. Some organizations might choose to prioritize certain modules and add others as they go, which is completely normal.

No two organizations are alike and deploying an ERP software can differ greatly but remember to make the ERP solution accessible to all employees and make sure automated processes are activated.

What to look for once implementation occurs:

  • Is the data accurate and functioning properly?
  • Do all users have real-time accessibility without issue?
  • Are security protocols in place and functioning?
  • Is the workflow in place and processing as it should?

6. Manage your ERP solution

Now, assuming the implementation is complete, it’s important to create a protocol for ongoing maintenance for your ERP system. Your organization should be performing regular maintenance checks and upgrading software periodically. Creating a team or having a professional in place to maintain the health of your ERP system is key to the longevity of the solution.

The ERP vendor you select should be available for any questions and ongoing maintenance or updates needed. Best practices for this implementation process should include a well-managed team and strong communication between the organization, its employees and key stakeholders to ensure the ERP solution is working effectively and efficiently.

Best practices for managing your new ERP system:

  • Listen to user and client feedback often.
  • On-premises ERP systems will require periodic software updates and sometimes hardware updates as well, while cloud-based ERP will update automatically.
  • Create standard operating procedures (SOP) to ensure common issues can be addressed quickly.

Implement ERP solutions with IBM

IBM Consulting is the driving force behind your business transformation journey. We offer business consulting with expert advice and are all about working openly and bringing together different perspectives, experiences and essential AI and hybrid cloud technology to meet your business goals.

IBM offers a range of ERP solutions for your business, including consulting services for SAP on IBM Cloud, Microsoft Azure and AWS Cloud. Our SAP experts create custom roadmaps to lower costs and improve results. With these solutions and more, IBM Consulting experts can help you successfully migrate legacy ERP applications to the cloud, redesign processes to leverage data, AI and automation for your business, and transform finance into a competitive advantage.

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Apache Kafka and Apache Flink: An open-source match made in heaven

In the age of constant digital transformation, organizations should strategize ways to increase their pace of business to keep up with — and ideally surpass — their competition. Customers are moving quickly, and it is becoming difficult to keep up with their dynamic demands. As a result, I see access to real-time data as a necessary foundation for building business agility and enhancing decision making.

Stream processing is at the core of real-time data. It allows your business to ingest continuous data streams as they happen and bring them to the forefront for analysis, enabling you to keep up with constant changes.

Apache Kafka and Apache Flink working together

Anyone who is familiar with the stream processing ecosystem is familiar with Apache Kafka: the de-facto enterprise standard for open-source event streaming. Apache Kafka boasts many strong capabilities, such as delivering a high throughput and maintaining a high fault tolerance in the case of application failure.

Apache Kafka streams get data to where it needs to go, but these capabilities are not maximized when Apache Kafka is deployed in isolation. If you are using Apache Kafka today, Apache Flink should be a crucial piece of your technology stack to ensure you’re extracting what you need from your real-time data.

With the combination of Apache Flink and Apache Kafka, the open-source event streaming possibilities become exponential. Apache Flink creates low latency by allowing you to respond quickly and accurately to the increasing business need for timely action. Coupled together, the ability to generate real-time automation and insights is at your fingertips.

With Apache Kafka, you get a raw stream of events from everything that is happening within your business. However, not all of it is necessarily actionable and some get stuck in queues or big data batch processing. This is where Apache Flink comes into play: you go from raw events to working with relevant events. Additionally, Apache Flink contextualizes your data by detecting patterns, enabling you to understand how things happen alongside each other. This is key because events have a shelf-life, and processing historical data might negate their value. Consider working with events that represent flight delays: they require immediate action, and processing these events too late will surely result in some very unhappy customers.

Apache Kafka acts as a sort of firehose of events, communicating what is always going on within your business. The combination of this event firehose with pattern detection — powered by Apache Flink — hits the sweet spot: once you detect the relevant pattern, your next response can be just as quick. Captivate your customers by making the right offer at the right time, reinforce their positive behavior, or even make better decisions in your supply chain — just to name a few examples of the extensive functionality you get when you use Apache Flink alongside Apache Kafka.

Innovating on Apache Flink: Apache Flink for all

Now that we’ve established the relevancy of Apache Kafka and Apache Flink working together, you might be wondering: who can leverage this technology and work with events? Today, it’s normally developers. However, progress can be slow as you wait for savvy developers with intense workloads. Moreover, costs are always an important consideration: businesses can’t afford to invest in every possible opportunity without evidence of added value. To add to the complexity, there is a shortage of finding the right people with the right skills to take on development or data science projects.

This is why it’s important to empower more business professionals to benefit from events. When you make it easier to work with events, other users like analysts and data engineers can start gaining real-time insights and work with datasets when it matters most. As a result, you reduce the skills barrier and increase your speed of data processing by preventing important information from getting stuck in a data warehouse.  

IBM’s approach to event streaming and stream processing applications innovates on Apache Flink’s capabilities and creates an open and composable solution to address these large-scale industry concerns. Apache Flink will work with any Apache Kafka and IBM’s technology builds on what customers already have, avoiding vendor lock-in. With Apache Kafka as the industry standard for event distribution, IBM took the lead and adopted Apache Flink as the go-to for event processing — making the most of this match made in heaven.

Imagine if you could have a continuous view of your events with the freedom to experiment on automations. In this spirit, IBM introduced IBM Event Automation with an intuitive, easy to use, no code format that enables users with little to no training in SQL, java, or python to leverage events, no matter their role. Eileen Lowry, VP of Product Management for IBM Automation, Integration Software, touches on the innovation that IBM is doing with Apache Flink:

“We realize investing in event-driven architecture projects can be a considerable commitment, but we also know how necessary they are for businesses to be competitive. We’ve seen them get stuck all-together due to costs and skills constrains. Knowing this, we designed IBM Event Automation to make event processing easy with a no-code approach to Apache Flink It gives you the ability to quickly test new ideas, reuse events to expand into new use cases, and help accelerate your time to value.”

This user interface not only brings Apache Flink to anyone that can add business value, but it also allows for experimentation that has the potential to drive innovation speed up your data analytics and data pipelines. A user can configure events from streaming data and get feedback directly from the tool: pause, change, aggregate, press play, and test your solutions against data immediately. Imagine the innovation that can come from this, such as improving your e-commerce models or maintaining real-time quality control in your products.

Experience the benefits in real time

Take the opportunity to learn more about IBM Event Automation’s innovation on Apache Flink and sign up for this webinar. Hungry for more? Request a live demo to see how working with real-time events can benefit your business.

Explore Apache Flink today

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How IBM and AWS are partnering to deliver the promise of AI for business

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. According to a survey by the MIT Sloan Management Review, nearly 85% of executives believe generative AI will enable their companies to obtain or sustain a competitive advantage. The global AI market is projected to grow to USD 190 billion by 2025, increasing at a compound annual growth rate (CAGR) of 36.62% from 2022, according to Markets and Markets. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation. In this quest, IBM and AWS have forged a strategic alliance, aiming to transition AI’s business potential from mere talk to tangible action.

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges:

  1. Data accessibility: Fragmented and siloed data stifle advancement. Gartner highlights that businesses lose an estimated USD 15 million annually due to inadequate data access.
  2. Integration and financial constraints: Merging AI with current systems is intricate. Forrester indicates that 40% of companies face this obstacle. Concurrently, McKinsey points out high expenses limit AI integration in 23% of organizations.
  3. Ethical and regulatory barriers: Upholding AI ethics is pivotal. A significant 34% of companies express concerns over fairness, with regulatory hurdles intensifying the landscape.

The AWS-IBM partnership is a symphony of strengths

The collaboration between IBM and AWS is more than just a tactical alliance; it’s a symphony of strengths. IBM, a pioneer in data analytics and AI, offers, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. AWS, on the other hand, provides robust, scalable cloud infrastructure. By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

Real-world Business Solutions

The real value of any technology is measured by its impact on real-world problems. IBM and AWS partnership focuses on delivering solutions in areas like:

Supply chain optimization with AI-infused Planning Analytics

IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities. One of the largest children clothing retailer in the US utilizes this solution to streamline its complex supply chain. Real-time data analytics helps in quick decision-making, while advanced forecasting algorithms predict product demand across diverse locations. The retailer uses these insights to optimize inventory levels, reduce costs and enhance efficiency. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security. Overall, this partnership enables the retailer to make data-driven decisions, improve supply chain efficiency and ultimately boost customer satisfaction, all in a secure and scalable cloud environment.

Infuses AI to transform business operations

DB2 PureScale on AWS provides a scalable and resilient database solution that’s well-suited for AI-driven applications. By taking advantage of AWS’s robust cloud infrastructure, PureScale ensures high availability and fault tolerance, critical for businesses operating around the clock. A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages. AI algorithms sift through large datasets to identify fraud risks and streamline claims processing, improving both efficiency and customer satisfaction. AWS’s secure and scalable environment ensures data integrity while providing the computational power needed for advanced analytics. Thus, DB2 PureScale on AWS equips this insurance company to innovate and make data-driven decisions rapidly, maintaining a competitive edge in a saturated market.

Modernizing data warehouse with IBM

Modernizing a data warehouse with IBM on AWS offers businesses a transformative approach to managing data across various sources and formats. The platform provides an intelligent, self-service data ecosystem that enhances data governance, quality and usability. By migrating to on AWS, companies can break down data silos and enable real-time analytics, which is crucial for timely decision-making. One of largest asset management company has executed a pilot using machine learning capabilities to further allow for predictive analytics, uncovering trends and patterns that traditional methods might miss. One of the standout features for this company is its seamless integration with existing IT infrastructure, reducing both costs and the complexity of migrating from legacy systems. Whether you’re looking to streamline operations, improve customer experiences, or unlock new revenue streams, IBM on AWS lays the foundation for a smarter, more agile approach to data management and analytics.

As AI continues to evolve, this partnership is committed to staying ahead of the curve by continuously updating its offerings, investing in joint development and providing businesses with tools that are both cutting-edge and practical.

The IBM-AWS partnership is not just a win-win for the companies involved; it’s a win for businesses across sectors. By combining IBM’s prowess in data analytics and AI with AWS’s robust cloud infrastructure, the alliance is breaking down barriers to AI adoption, offering scalable solutions, and enabling businesses to leverage AI for tangible results.

Get ready to harness the power of AI for your business

Explore how the IBM-AWS partnership can offer you tailored solutions that drive results. Join us at AWS re:Invent 2023 from November 27 to December 1 in Las Vegas, Nevada. At booth #930, IBM will spotlight its advancements in AI, demonstrating how we assist clients to scale AI workloads using our comprehensive generative AI stack swiftly and responsibly. This event offers a firsthand look into IBM’s transformative solutions that are reshaping industries. Engage with our experts, partake in live demos, and explore tailor-made solutions for your business needs.

Join us at re:Invent 2023

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Source: IBM Blockchain

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