Saturday, 24 August 2024

Optimizing finished vehicle logistics with blockchain solutions

Optimizing finished vehicle logistics with blockchain solutions

When a customer orders a product on an ecommerce site, through quick commerce or through a traditional courier service, they receive an update of each action taken to deliver that product. This includes basic status updates such as shipped, in transit, reached destination, out for delivery and delivered.

Service providers manually update some of these statuses, and some updates are enabled through technology by using devices such as GPS trackers, RFIDs and sensors.

But with all the technological advances in the transportation of goods, one area that lags behind is the automotive logistics industry.

Challenges of finished vehicle logistics


Finished vehicle logistics in the automotive industry typically involves moving vehicles from the assembly plant to the National Sales Organization (NSO), then to dealerships or to large fleet operators. The multimodal transportation is done via road, rail and sea. Several stakeholders and processes are involved as vehicles move from the original equipment manufacturers (OEMs) factory or compound to their customer’s destinations, resulting in a plethora of challenges as listed after this:

  • Limited customer visibility of Estimated time of Arrival (ETA): Unlike e-commerce, automotive end customers generally lack visibility into the delivery process after placing an order with the dealer. Customers usually rely on verbal confirmation from the dealer regarding the probable delivery date.
  • Lack of route optimization: Delivering vehicles within stipulated timelines while keeping logistics costs low requires route optimization. Logistics service providers (LSPs) do not always take the most optimized route, and unexpected events (such as the Suez Canal blockage and weather impacts) can complicate matters further. Route intelligence is crucial for deciding the best possible route or mode of transportation based on delivery timelines.
  • Damage during transit: Many vehicles are damaged during transit each year. Identifying the stakeholder responsible for a particular damage leads to accountability and timely resolution. Indirect implications include extra logistics and handling costs to manage the damaged vehicles. 
  • Insurance claims management: OEMs must file insurance claims in case of damages, which involves providing relevant documentation and capturing evidence of activities as the vehicle changes custody among stakeholders.
  • Liability for damages: Identifying the party responsible for any damage during transit is important to fix liability.
  • Delivery delays: Transit damages can delay delivery to customers. Proper evaluation of the vehicle’s condition is necessary to decide whether it can be delivered or if a new vehicle must be ordered.
  • OEM losses: OEMs suffer both reputational and monetary losses due to damages during transit.

Building collaborative stakeholder networks for digital transformation


A blockchain-based automotive logistics platform can address the issues associated with finished vehicle logistics. Stakeholders on the blockchain platform can collaborate to track and trace where a vehicle is located at any specific point in time. They can also connect any relevant document to a vehicle, and upload or retrieve documentation and events of the vehicle throughout its journey in the supply chain.

The solution can provide near real-time actionable supply chain information for all contributors in the network (including OEMs, LSPs, warehouse operators, compounds, dealers and insurers). These network contributors collectively generate value by analyzing various factors, such as production locations and target markets and determine the most efficient and cost-effective routes.

Real-time actionable insights can include vehicle registration, creation of transport orders, warehouse orders, instructions that LSPs provide to sub-contractors among others. They can also encompass consignment notes, SalesOrder and events related to transport such as pickup or drop off. Further aspects include warehouse events such as gate-in, gate-out, ready for pickup, commercial events and damage events like submission of damage events, damage reports or cost estimates for damage.

Using insights to optimize, track and protect the transportation process


Stakeholders can tie these insights to documents associated with the shipping, such as contractual documents, bill of lading, inspection reports and various other evidence to fix liabilities in case of damage. Digitizing customs documents and tying them to a single source (such as a vehicle) expedites the custom clearance process and can reduce the delivery timelines.

The blockchain-based solution makes it possible to calculate ETA with real-time actionable insights from multiple stakeholders. This can be done by factoring in vehicle location, traffic, historical data, weather conditions, vehicle and driver performance, distance and speed calculations, and any other available. Vehicle tracking is possible through various technologies such as GPS, IoT sensors and RFID and telematics.

OEMs and LSPs can optimize the transportation process by planning the movement of the vehicles from manufacturing plants to various markets to meet delivery schedules and cost requirements.

LSPs can adjust the routes based on the trade lanes and the associated transportation legs in the case of any route deviations due to external factors. These external factors include adverse weather conditions, traffic conditions, political or social unrest, infrastructure issues or any other supply chain disruptions. Pre-defined trade lanes can help in identifying the next best route that is available from the current location in case of disruptions.

LSPs can inform truck drivers and other personnel of their responsibility to inspect and report the vehicle status before loading, during transit and upon delivery. Inspection reports document the condition of the vehicle to identify when and where damages occurred.

They can provide photographic evidence in case of any damage in real time. Users can store and publish evidence over a blockchain network for transparency across all involved stakeholders. This gives the insurer solid, accurate evidence.

Bringing the blockchain solution to life


Blockchain satisfies the key requirements of transparency and data sharing among stakeholders. Blockchain’s distributed ledger technology allows network participants to create a single source of truth for everything that happens to a vehicle throughout the supply chain, and that data is immutable.

Car buyers know exactly where their car is in the delivery cycle. OEMs can assess progress and act in case of any financial or operational challenge. Meanwhile, LSPs optimize routes, reduce customs clearance times, and increase efficiency and accuracy. Dealers plan vehicle inventories to meet customer needs, and insurers accurately assess claims and the extent of damage, leading to faster settlement and a reduction in fraudulent claims.

The blockchain solution builds an ecosystem that is accessible to all the players in the finished vehicles logistics space. Because of the integrity and security that blockchain provides, partners can work collectively to provide end-to-end visibility to the automotive logistics industry.

Source: ibm.com

Friday, 23 August 2024

Hybrid cloud success: The role of Red Hat OpenShift Virtualization

Hybrid cloud success: The role of Red Hat OpenShift Virtualization

Many organizations have aligned their technology strategy to achieve business success, but they recently encountered a disruption in their plans amidst the ever-changing portfolio after VMware’s acquisition by Broadcom. This disruption has caused an uproar in the IT industry and led to mass confusion with large product modifications, licensing changes and financial implications. IBM Consulting® recognizes that organizations have many options for transformational modifications to revise their technology strategy, and we are here to help.

Clients must prioritize productivity, scalability and efficiency to stay ahead of the competition. Red Hat® OpenShift® Virtualization is leading the industry in providing the ideal platform to meet these demands. IBM Consulting, along with Red Hat, can craft the correct solution to update a client’s technology strategy with the preeminent products and services to meet or exceed business goals. With deep expertise in hybrid cloud transformations, IBM Consulting offers guidance that can elevate the technology strategy across any major cloud provider by using the power of Red Hat OpenShift.

In this blog, we explore the benefits of Red Hat OpenShift Virtualization and how it is revolutionizing the way our clients operate.

What is Red Hat OpenShift Virtualization?


Red Hat OpenShift Virtualization is an innovative technology that provides a modern application platform to host new and existing virtual machines alongside containers. It also comes prebuilt with key capabilities for easier migration and management of traditional virtual machines on a comprehensive hybrid cloud platform. Red Hat OpenShift Virtualization is included in a Red Hat OpenShift subscription and is quickly deployed as an operator.

Hybrid cloud success: The role of Red Hat OpenShift Virtualization

Technological advantages of Red Hat OpenShift Virtualization

1. Improved productivity:

Red Hat OpenShift Virtualization streamlines the delivery of virtual machines through an innovative approach that uses DevOps pipelines. These pipelines can be used to deliver containers as well, giving developers a common set of tools and runtimes for building and deploying enterprise-grade software. Having containers and virtual machines on the same platform provides a consistent environment across the hybrid cloud, reducing the skills and time needed by operations teams for management and maintenance.

Red Hat OpenShift Virtualization also allows Windows and Linux® virtual machines to run side by side and includes unlimited Red Hat Enterprise Linux (RHEL) subscriptions. Having virtual machines running on Red Hat OpenShift Virtualization allows for gradual migration to cloud-native applications that uses the supremacy of containerization and orchestration on Red Hat OpenShift. This migration culminates in improved efficiency, lower operational costs and increased overall productivity.

2. Enhanced scalability:

With Red Hat OpenShift Virtualization, organizations can scale their infrastructure environments as needed on standard x86 hardware, often without requiring an expensive hardware refresh. There is also the option to deploy the infrastructure on public clouds and even take advantage of a managed environment, such as Red Hat OpenShift on AWS (ROSA). This flexibility allows businesses to quickly adjust to new opportunities and changing market demands.

3. Superior efficiency:

Red Hat OpenShift Virtualization provides a single, unified platform for developers, operators and administrators to collaborate on container and virtual machine development and deployment, streamlining the process and improving communication. It delivers a faster time to market by including prebuilt components such as monitoring, log aggregation, service mesh and pipelines, which improve developer and operations productivity. Security features are also included to ensure that applications and virtual machines are protected from data breaches and unauthorized access. Together, these capabilities create a platform that reduces the need for manual configuration and minimizes downtime, which in turn decreases the total cost of ownership.

Evolve your digital transformation journey


Red Hat OpenShift Virtualization is a powerful platform that helps organizations evolve their digital transformation journey and provide a consistent environment for their hybrid cloud strategy. IBM Consulting supports these efforts with its vast experience in assisting clients through hybrid-by-design journeys. This support is possible due to strong Red Hat OpenShift Virtualization capabilities and strong ecosystem partners such as Amazon Web Services (AWS), Azure, IBM Cloud®, Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI).

Together, Red Hat OpenShift Virtualization and IBM Consulting can drive business success by improving productivity, enhancing scalability and providing superior efficiency aligned to application and infrastructure modernization goals.

Source: ibm.com

Tuesday, 20 August 2024

The power of embracing distributed hybrid infrastructure

The power of embracing distributed hybrid infrastructure

Data is the greatest asset to help organizations improve decision-making, fuel growth and boost competitiveness in the marketplace. But today’s organizations face the challenge of managing vast amounts of data across multiple environments.

This is why understanding the uniqueness of your IT processes, workloads and applications demands a workload placement strategy based on key factors such as the type of data, necessary compute capacity and performance needed and meeting your regulatory security and compliance requirements.

While hybrid cloud has become the dominant IT architecture, we believe that adopting an intentional hybrid-by-design approach is pivotal for enterprises to use their data irrespective of where it resides to further drive business value and outcomes with the combined power of hybrid cloud and AI. A distributed hybrid infrastructure provides the flexibility and agility to deploy and operate workloads and applications wherever needed. This allows for reliable and secured cloud-connected experiences that pave way for speedy innovation with IT environments designed to be both open and continuous.

Harnessing IBM Power as-a-service in distributed infrastructure


Clients that are furthest along in their hybrid cloud journey have well-thought-out, hybrid-by-design strategies. Not only are they making intentional workload placement decisions, are also designing an infrastructure with interoperability and security at the forefront. We are helping our clients modernize workloads and infrastructure with a hybrid cloud experience.

IBM® Power® Virtual Server, for example, can help clients expand their on-premises servers to modern-day hybrid-cloud infrastructures. Within a distributed hybrid environment, IBM Power Virtual Server is designed to help clients quickly adopt and expand their on-premises infrastructures both efficiently and economically at any moment to remain competitive in the marketplace. Its validation under the IBM Cloud Framework for Financial Services® also ensures compliance with stringent industry standards, making it particularly valuable for regulated sectors. A great example of this would be our client Safeguards CS Sdn Bhd (SCS), a cash solution services provider in Malaysia. By optimizing costs and maintaining robust security, this approach is designed to support billions of daily banking transactions across Southeast Asia, highlighting the platform’s critical role in expanding financial services to underserved populations.

Further, to provide clients with an additional choice of where to use IBM Power, IBM recently released IBM Power Virtual Server Private Cloud, which combines configurable compute, storage and network infrastructure within your data center, owned and managed by IBM on IBM Cloud®. This setup provides enterprises the consumption and management capabilities of the cloud while the data remains on premises to help clients address their regional compliance and governance requirements of the business.

A path forward: Power through an XaaS lens


The future of cloud computing lies in adopting distributed hybrid infrastructure, bolstered by the XaaS model, which promotes agility, reliability and security. This approach is designed so that businesses can modernize applications, enhance data management and optimize IT operations, paving the way for a more resilient and cost-effective IT landscape. IBM Power Virtual Server stands at the forefront of this transformation, offering innovative XaaS solutions to meet the diverse needs of modern enterprises.

Source: ibm.com

Wednesday, 14 August 2024

Seamless cloud migration and modernization: overcoming common challenges with generative AI assets and innovative commercial models

Seamless cloud migration and modernization: overcoming common challenges with generative AI assets and innovative commercial models

As organizations continue to adopt cloud-based services, it’s more pressing to migrate and modernize infrastructure, applications and data to the cloud to stay competitive. Traditional migration and modernization approach often involve manual processes, leading to increased costs, delayed time-to-value and increased risk.

Cloud migration and modernization can be complex and time-consuming processes that come with unique challenges; meanwhile there are many benefits to gen AI assets and assistants and innovative commercial models. Cloud Migration and Modernization Factory from IBM Consulting® can also help organizations overcome common migration and modernization challenges and achieve a faster, more efficient and more cost-effective migration and modernization experience.

Leveraging the same technologies that are driving market change, IBM Consulting can deliver value at the speed that tomorrow’s enterprises need today. This transformation starts with a new relationship between consultants and code—one that can help deliver solutions and value more quickly, repeatably and cost efficiently. 

The power of gen AI assets and assistants


Gen AI assets and assistants are revolutionizing the cloud migration and modernization landscape, which offer a more efficient, automated and cost-effective way to overcome common migration challenges. These tools leverage machine learning and artificial intelligence to automate manual processes, reducing the need for human intervention and minimizing the risk of errors and rework.

IBM Consulting Assistants are a library of role-based AI assistants that are trained on IBM proprietary data to support key consulting project roles and tasks. Accessed through a conversation-based interface, we’ve democratized the way consultants use assistants, creating an experience where our people can find, create and continually refine assistants to meet the needs of our clients faster.

IBM Consulting Assistants allow our consultants to select from the models that best solve your business challenge.  Those models are packaged with pre-engineered prompts and output formats so our people can get tailored outputs to their queries, such as creating a detailed user persona or a code for a specific language and function. The result is that you get more valuable work, faster.  

Innovative commercial models for migration and modernization


Our innovative commercial models, such as our cloud migration services, offer a flexible and cost-effective way to migrate and modernize applications and data to the cloud. Our pricing models are designed to help organizations reduce costs and increase ROI, while also promoting a smooth and successful migration experience.

Cloud Migration and Modernization Factory from IBM Consulting


As a leading provider of hybrid cloud transformation services, IBM has extensive expertise in helping organizations overcome common migration and modernization challenges. Our experts have developed gen AI tools and innovative commercial models to ensure successful cloud migration and modernization.

The Cloud Migration and Modernization Factory from IBM Consulting enables clients to realize business value faster by leveraging pre-built migration patterns and automated migration approaches. This means that organizations can achieve faster deployment and ramp-up, getting to market faster and realizing business benefits sooner.

With Cloud Migration and Modernization from IBM Consulting, clients can achieve:

  • Faster business value realization: The Cloud Migration and Modernization Factory from IBM Consulting accelerates business value realization by leveraging pre-built migration patterns and automated approaches. This enables organizations to deploy and ramp-up faster, getting to market sooner and realizing benefits earlier.   
  • Scaled automation: The Cloud Migration and Modernization Factory from IBM Consulting leverages cloud-based metrics and KPIs to enable scaled automation, ensuring consistent quality and outcomes across multiple migrations. Automated approaches reduce the risk of human error, manual testing and validation, which result in improved efficiency, quality and ROI.
  • Improved efficiency and quality of outcomes: By leveraging our gen AI assets, clients can automate the migration and modernization process, reducing manual effort and minimizing errors. The IBM Consulting Cloud Migration and Modernization Factory offers a library of pre-built migration patterns, allowing clients to choose the right approach for their specific needs and use cases.
  • Cost savings: The Cloud Migration and Modernization Factory from IBM Consulting reduces the total cost of ownership and increases ROI by leveraging pre-built migration patterns and automated approaches, minimizing manual effort and errors.

Overcome common migration challenges


Cloud migration and modernization can be a complex process, but with the power of gen AI assets and assistants and innovative commercial models, organizations can overcome common migration challenges and achieve a faster, more efficient and more cost-effective migration experience. By automating manual processes, reducing the need for human intervention and minimizing the risk of errors and rework, gen AI tools can help organizations achieve significant cost savings and increased ROI.

Source: ibm.com

Friday, 9 August 2024

Reduce downtime and increase agility: Mainframe observability with OpenTelemetry

Reduce downtime and increase agility: Mainframe observability with OpenTelemetry

Imagine your enterprise’s critical online services are suddenly down, and the IT operations team is working to identify the cause. Minutes turn into hours, and every second of downtime costs the company revenue and customer trust. In a rush to recover the systems, it is critical that your technical experts can isolate and resolve the real problem—or better yet, the ability to get ahead of growing issues and avoid the outage altogether. 

This is where an effective cross-platform end-to-end observability strategy becomes essential, allowing organizations to gain rapid insights into the health of their applications and systems.

Meeting the challenge of complex online services


With services running across the hybrid-cloud including on-prem and multiple hyperscaler platforms, locations and regions, detecting latency and resource issues before they become critical is paramount. As the number of services underpinning application flow increases, the manageability of this environment becomes more challenging.

For born-on-the-cloud applications, an observability approach is essential to provide a unified view of these dynamic dispersed environments. The role of Site Reliability Engineers (SREs) is also critical in ensuring the availability of the full end-to-end application or service. Rather than relying on a less comprehensive view of each technology, the SRE’s application-centric focus identifies which services are performing suboptimally. This guides development teams as they make detailed investigations and fixes.

OpenTelemetry as a cloud-native observability solution


Observability depends on timely and effective telemetry signals from the underlying systems. The OpenTelemetry project is a direct community-led response to this need and aims to address the head-on challenge of navigating increased complexity. 

OpenTelemetry is a vendor-agnostic, open-source framework hosted by the Cloud Native Computing Foundation (CNCF). It aims to enable effective observability across distributed applications and systems by providing an open standard and open tools that support high-quality telemetry data from any source to any target. By building on OpenTelemetry, the telemetry capabilities across different tools and domains can be simplified, making it easier to implement end-to-end observability solutions.

OpenTelemetry’s inherent concept of signal correlation enables the linking and association of different types of signals (such as traces, metrics and logs) to gain a comprehensive insight into an application’s behavior and resources. The OpenTelemetry Semantic Conventions support the correlation of signals by defining a common set of attributes, ensuring that standardized metadata facilitates their association. This is crucial for faster detection and resolution of incidents.

Bringing OpenTelemetry to the mainframe


With a growing number of enterprises unlocking the value of their mainframe investments as an integral part of these hybrid cloud environments, end-to-end observability must also span the applications and data that reside on IBM Z®.

This brings both teams to the table: SREs, for whom the transition of an application flow into the mainframe domain can obscure the full observability view, and mainframe teams, with their deep knowledge and tools.

As a widely consumed open standard, OpenTelemetry provides a richer set of tools to expedite the identification of the root cause of issues. Mainframe subject matter experts, with deep mainframe-centric diagnostic tools, can apply these skills in a more targeted and effective fashion. With observability teams and SREs able to identify what is and, critically, what is not a mainframe issue, teams can focus their time more efficiently. This reduces the risk of outages, as well as resolution time.

OpenTelemetry support on IBM Z and IBM LinuxONE


With IBM and its partners already starting to support OpenTelemetry in our observability and monitoring tools, wider adoption is increasing. We are working with the OpenTelemetry community, with our vendor partners and within our products across IBM Z and IBM LinuxONE to help enable a consistent end-to-end observability experience. Our approach complements our existing operational management tools and instrumentation and focuses on providing high-quality and timely telemetry at appropriate system overhead.

The value of observability extends beyond operational efficiency. It’s about strategic foresight and competitive advantage. Business leaders are keenly interested in how observability through frameworks like OpenTelemetry can provide clarity amidst complexity and unlock the agility of their IT systems. The rewards can be significant, as they are designed to reduce downtime, increase business agility and improve IT resource utilization.

Source: ibm.com

Friday, 2 August 2024

Harnessing XaaS to reduce costs, risks and complexity

Harnessing XaaS to reduce costs, risks and complexity

To drive fast-paced innovation, enterprises are demanding models that focus on business outcomes, as opposed to only measuring IT results. At the same time, these enterprises are under increasing pressure to redesign their IT estates in order to lower cost and risk and reduce complexity.

To meet these challenges, Everything as a Service (XaaS) is emerging as the solution that can help address these challenges by simplifying operations, reducing risk and accelerating digital transformation. According to an IDC white paper sponsored by IBM®, by 2028, 80% of IT buyers will prioritize XaaS consumption for key workloads that require flexibility to help optimize IT spending, augment IT Ops skills and attain key sustainability metrics.

Moving forward, we see three pivotal insights that will continue to shape the future direction of businesses in the coming years.

Simplify IT to accelerate business outcomes and focus on ROI


The need to overhaul legacy IT infrastructures is a significant pressure point for enterprises. The applications that we are writing today will be the applications that we need to modernize tomorrow.

With XaaS offerings, enterprises are able to integrate business-critical applications into a modernized hybrid environment, particularly in AI applications and workloads.

CrushBank, for example, worked with IBM to transform its IT support, streamlining help desk operations and arming staff with improved information. This created a 45% reduction in resolution time and notably enhanced customer experiences. CrushBank has reported that with the power of watsonx™ on IBM Cloud®, customers have shared feedback of higher satisfaction and efficiency allowing the organization to spend time with the people that matter the most: their clients.

Reimagine business models to foster rapid innovation


AI is fundamentally altering how business is done. Traditional business models, often constrained by their complexity and cost-intensive nature, are proving inadequate for the agility required in an AI-driven marketplace. According to recent IDC research, sponsored by IBM, 78% of IT organizations view XaaS as a critical component of their future strategies.

To meet this demand for rapid innovation and address the accompanying risks and costs, businesses see the benefits of turning to XaaS. Rather than merely providing tools, this model focuses on delivering outcomes for greater operational efficiency and effectiveness. The model allows XaaS vendors to focus on secure, resilient and scalable services, enabling IT organizations to invest their precious resources in their client requirements.

Anticipate for tomorrow by preparing for today


The shift toward an XaaS model is not just about optimizing IT spending; it is also about augmenting IT operations skills and achieving business goals faster and in a more agile manner.

At Think, CrushBank’s CTO David Tan highlighted how they enabled clients to innovate and effectively leverage data seamlessly where it resides, allowing them to craft a holistic strategy to meet the unique business needs for each of their customers. Enabling a simpler, faster and more economical path to leverage AI, while also reducing the risk and burden of managing complex IT architectures, remains paramount for companies operating in today’s data-driven environment.

The momentum toward XaaS stands out as a strategic solution that offers a multitude of benefits. From helping to reduce operational risks and costs to enabling rapid adoption of emerging technologies like AI, XaaS should be the cornerstone of every IT strategy.

IBM’s current as-a-service initiative can help enterprises achieve those benefits today. The combined capabilities across IBM software and infrastructure help clients drive outcomes, while helping to ensure that mission-critical workloads stay secured and compliant.

For example, IBM Power Virtual Server is designed to assist leading enterprises across the globe to successfully expand their on-premises servers to hybrid cloud infrastructures, granting leaders more insight into their businesses. Also, the IBM team is working collaboratively with our customers to modernize with AI, with offerings like watsonx Code Assistant™ for Java code or enterprise applications.

Enterprises are under increasing pressure to redesign their legacy IT estates—to lower cost and risk and reduce complexity. XaaS is emerging as the solution that can address these challenges head on by simplifying operations, enhancing resilience and accelerating digital transformation. IBM aims to meet our clients where they are on their transformation journey.

Source: ibm.com