Oracle Linux is a secure and extremely effective operating system. In a single, simple-to-manage support package, Oracle Linux provides the operating system, virtualization, management, automation, and cloud-native computing features. It drives Oracle Engineered Systems, Oracle Cloud Infrastructure (OCI), and Oracle Cloud Applications. Oracle Linux is a tried-and-true platform that is both highly secure and dependable for Oracle and non-Oracle applications. dozens of independent software vendors who have certified their products for the Oracle Cloud, as well as thousands of Oracle Cloud users globally.

Your OCI subscription includes Oracle Linux Support at no additional cost. You can benefit from all the features offered by Oracle Linux Support, such as access to the most recent updates and packages, round-the-clock technical support, the My Oracle Support portal’s extensive Linux knowledge base, Oracle Ksplice updates with zero downtime, Oracle Autonomous Linux, and OS Management Service to manage and monitor Oracle Linux instances, among other things. Additionally, Oracle Linux on OCI offers you a single point of contact for support for Oracle software, the operating system, and cloud infrastructure.

Oracle Linux for your OCI application workloads

Here are 12 strong reasons to consider using Oracle Linux for your OCI application workloads:

• The Oracle Linux kernel and user space can be upgraded and patched with all the most recent important fixes using Ksplice without incurring operational costs or scheduled downtime. Oracle Linux instances in OCI come pre-configured with Ksplice installed and activated.
• Updates to the Oracle Linux images that are offered on OCI happen frequently to help assure access to the most recent software.
• Enhanced Linux development environment: The Oracle Linux yum server provides quick access to Linux developers and previews software channels. Oracle builds and signs thousands of EPEL packages that are made available over the EPEL channel to ensure their security and compliance. We greatly support the Software Collection Library, which enables programmers to install current versions of Python, PHP, NodeJS, Nginx, and other components without having to worry about interfering with programs that are already using different versions of these components.
• Improved cloud developer experience: Oracle provides yum server RPMs that make it simple to install cloud developer tools including Terraform infrastructure orchestration software, software development kits (SDKs), and OCI command line interface (CLI). For the x86 64 and Arm architectures, OCI also offers the Oracle Linux Cloud Developer image, a Platform image that enables you to quickly preinstall, automatically configure, and deploy a complete development environment on OCI. A single image from the Oracle Cloud Console can be used to deploy a choice of popular programming languages, OCI client tools, database connectors, and other tools in a matter of minutes.
• Automated OS management: The OCI-integrated Oracle OS Management service helps in automating routine management operations for Windows Server and Oracle Linux systems. It offers capabilities for managing updates and packages, as well as security and compliance reporting. You can detect and fix system performance issues by using the Resource Discovery and Monitoring tool to obtain visibility into Oracle Linux CPU and memory use as well as top processes.
• Oracle Autonomous Linux, which is based on Oracle Linux, runs in OCI and is controlled by the OS Management service. Without assistance from a person, it automatically handles administration tasks such as patching with zero downtime. It keeps systems extremely safe, helps save staff costs, and helps achieve improved availability. It also monitors important OS events.
• Support for complete containers and container management: The Oracle Container Registry serves as a reliable source for Oracle software container images that have been patched. For use with Kubernetes, Oracle Container Runtime and Oracle Linux Container Services come with Oracle Linux Support.
• Faster downloads: To facilitate quicker downloads of the most recent Oracle Linux security updates, bug patches, and container images for Oracle applications, the Oracle Linux yum server, and Oracle Container Registry are mirrored inside OCI. No internet traffic capacity is used, and there are no network charges because all network traffic stays inside the OCI data centers.
• Rapid instance deployment: Using Oracle Cloud Marketplace and partner images from OCI, OCI offers simple access and quick instance deployment. Oracle Linux, Oracle Linux-based images like Oracle Linux KVM and Oracle Linux Cloud Developer images, as well as other Oracle and partner applications, can all be installed quickly and easily from within the Oracle Cloud Console.
• Oracle Linux for Arm: Create cutting-edge applications utilizing platform images of Oracle Linux for Arm installed on Ampere Altra A1 Compute shapes in OCI.
• High-performance network file system (NFS) server with Oracle Linux Storage Appliance: Using the Oracle Linux Storage Appliance image, which is offered on the Oracle Cloud Marketplace, you can quickly and easily create NFS shared storage using NVMe devices connected to OCI bare metal and virtual machine (VM) Compute instances. Images based on Oracle Linux and Autonomous Linux are both accessible.
• Red Hat Enterprise Linux (RHEL) applications are 100% binary compatible with Oracle Linux, allowing them to function without reinstallation or coding modifications. By switching yum to receive updates from the Oracle Linux yum server, you can get free support for your RHEL instances under OCI.

Oracle Linux on OCI is the most affordable and well-integrated OS in OCI because of these capabilities, which also makes it the ideal application platform.

Learn about the benefits of OCI

For mission-critical workloads, Oracle Linux is the suggested Linux distribution for Oracle applications. It was designed to offer improved security, scalability, and reliability. Learn why Oracle Linux on OCI is used by so many businesses today. Utilizing Oracle Cloud Free Tier credits, you can start with an OCI account and resources.

 

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Blue Crystal Solutions (BCS), a specialized provider of cloud, application, database, and infrastructure management services, assists clients in efficiently architecting, executing, upgrading, and supporting cloud workloads. Since 2004, BCS, which has its main office in Adelaide, Australia, has offered information technology services to a variety of business and governmental clients.

The important outcomes

BCS offers support and services for databases, infrastructure, and applications around-the-clock in Australia and abroad. They serve a large number of clients in the public sector and believe that utilizing digital technology is essential to reforming and upgrading public services. Every Oracle Database release since 10g, as well as Oracle Middleware and Oracle EBS, both on-premises and in the cloud, have been used to create solutions.

“The main result that matters to me is a happy customer. We ensure that we deliver and provide the best solution that meets their business needs and increases their business performance in a rapidly changing IT environment. Customer retention is key for us. We have customers that have been with us for 18 years,” Vito shared.

It is recommended to use Oracle

The Oracle Linux functionality is the best fit for workloads such as Oracle Database, Data Guard, RAC clusters, middleware, and applications, according to BCS presale engineers that work with customers regularly. It offers the performance and dependability that its customers need because it is pre-optimized for large enterprise workloads. They discover that Oracle Linux performs well for Oracle workloads.

“As a service provider, we need to meet the performance, security, and reliability requirements of our customers and meet strict SLAs. With the complete synergy between Oracle Linux and Oracle Database, middleware, and applications such as E-Business Suite, we can confidently meet these requirements and SLAs,” Vito shared.

Josh added: “Having a one-stop shop for the full stack has provided us much better incident resolution times. But more importantly, it provides business benefits to customers, such as early access and ease of deployment of software fixes, functionality, and enhancements; higher security with lower risk; and optimized and reduced support costs.”

To improve performance and licensing, BCS clients typically wish to consolidate their Oracle Database workloads into fewer instances. As a result, Oracle virtualization is a good fit in BCS’s opinion because it supports particular customer workload requirements and makes financial savings possible through hard partitioning.

Josh shared: “Moving to the Oracle KVM-based virtualization manager has simplified our support process and installations compared to our previous non-Oracle virtualization methods.”

Comprehensive and economical

BCS must offer affordable, simple-to-implement solutions to assist customers to maximize their business success. They discover that Oracle Linux Premier Assistance, which offers 24/7 Linux support as well as support for virtualization, management, automation, and clustering technologies, is a thorough and affordable support option that enables them to provide the best possible customer service.

The BlueDiamond tool, developed by BCS, is an integrated, proactive, and preemptive event and outage monitoring tool for databases and applications. It uses Oracle Linux and is their main enterprise SaaS managed services solution.

Deployments of hybrid clouds

The majority of BCS clients utilize hybrid cloud infrastructures. At first, a lift and shift to the cloud was the most common strategy, but nowadays, many businesses are keeping or bringing back some of their on-premises workloads. BCS always advises utilizing Oracle Linux, which is supported on-premises and in public clouds like OCI, AWS, and Azure, for customers’ essential workloads.

“We are moving towards more and more cloud implementations. Having the same operating environment across on-premises and different public clouds simplifies operations for our customers,” Vito shared.

BCS is switching from conventional deployments to deployments based on containers. For instance, they just developed a new Oracle environment in AWS using containers and Kubernetes on Oracle Linux while collaborating with a worldwide client.

 

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As a result of the outbreak, there are increased demands all across the world. Additionally, there is no doubt that the exponential speed of technological innovation will continue, allowing for one of the most exciting times of positive change and advancement in history.

Many businesses will need to undergo systematic transformations, and executives have realized that speed and agility are required to outpace change and succeed.

Concerning B2B, we must recognize that the B2B sales landscape has fundamentally transformed. It’s no longer enough to get in front of a decision-maker and create a strong first impression; it’s about building a buying relationship based on openness and bi-directional value generation.

Control rebalancing between buyers and sellers

The B2B buyer has more control over the sales process than ever before. Buyers are also more selective about where they obtain information. What about the buyers? They’re well aware that they’ll need to throw out their playbooks and accept the new laws of selling through influence.

Industry boundaries are blurring

The market requires a highly interoperable environment in which numerous parties collaborate to create and consume interesting products and services. The problem is that most organizations’ systems were not built to provide sellers with useful insights from customer, enterprise, and ecosystem data.

This suggests they lack the necessary capabilities now. However, without them, businesses will surely suffer in sales effectiveness, growth, and personnel retention.

Here’s our secret recipe: meeting customers where they are, assisting them in accelerating the pace of their transformation, unlocking talent potential, and, most importantly, ensuring adaptability. Oracle has access to all values. This is the key to establishing a resilient organization that is prepared for the future.

To comprehend the future of CRM, it is vital to understand that marketing and sales are only the edges of an end-to-end process that begins with establishing a marketing campaign and ends with closing the transaction.

IDEA stands for Intelligent, Data, Ecosystem, and Architecture, and it is my vision of the future of engineered selling:

• Intelligence is about filtering the noise to boost salesperson productivity. This is the area of automation and artificial intelligence.
• Data is about establishing and utilizing a contemporary data foundation. It necessitates the demolition of silos. This treasury has never been sufficiently monetized.
• Ecosystem support. Interoperability with partners, customers, and capabilities such as partner experience, onboarding, and enablement is critical in the B2B sector.
• Architecture. For the past 22 years, we have produced Technology Vision, a trends study. We proclaimed in 2013 that “Every business is a digital business,” then in 2014 that “Every business is a technology business,” and most recently that “Every business is a metaverse business.” Architecture is more important than ever in this environment.

Oracle Fusion Marketing and Sales’ sweet spot

Oracle Fusion helps bridge the gap, allowing marketers and sellers to focus on what they do best: establishing relationships and closing business. This can have a measurable impact on them, their businesses, and the market.

Sellers can obtain help in producing optimum quotas, managing territories, aligning sales pay, and creating sales plans by combining real-time customer intelligence with data from the ecosystem of third parties as well as ERP and HR systems. Here, innovation is natural and easy.

The future of marketing is a limitless, adaptive, and profoundly human architecture designed to exploit the power and elasticity of the cloud in conjunction with AI and machine learning.

Accenture and Oracle have been collaborating for over 30 years, bringing unrivaled creativity, industry, and technical expertise to our combined clients. We may work together to assist clients to get a competitive advantage by increasing sales, keeping customers, and expanding.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

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When the pandemic first hit, every business had to react quickly. After nearly two years, you’d think the speed of change would begin to slow. It hasn’t happened. Businesses are more resilient and moving faster than ever before.

Companies must adjust and change quickly in order to adapt and survive, or risk being left behind. Many people are looking for new technology to help them succeed with their digital, financial, and business transitions. Modern cloud applications are an essential component of any digital strategy, but consistent organizational data is essential for supporting these transformative developments.

To address the data difficulties that occur with routine structural change, firms have traditionally employed spreadsheets, homegrown tools, departmental wikis, workflow engines, and bespoke solutions. Meetings, back-and-forth emails, manual recordings, and manual data uploads are common DIY operations.

When the pandemic arrived, DIY equipment and procedures were hopelessly inadequate. Before the invention of remote working, most data management decisions were made in person, involving a few key employees who consolidated data entry, resulting in a single point of failure.

DIY master data management does not cut it in a dynamic, cloud-enabled organization. It’s inconvenient, difficult to maintain, and usually only a small number of people in the organization understand it—all of which creates risk.

Some organizations are attracted to going in-house because they believe it gives them more control and better integration capabilities—but they usually overlook the realities. They must not only produce a minimal viable product but also continuously develop and nurture it. As usage grows and the number of changes managed within grows, the brittle character of change procedures becomes apparent. Data management complexity develops as data grows and new applications and domains are brought in. Scaling this in-house becomes difficult. The expenses and overheads of improving, scaling, upgrading, maintaining, and backing up such a solution quickly add up to a bottomless pit of money. Your beloved solution has suddenly become a white elephant.

There is an alternative. To manage and preserve consistent data, today’s businesses require a fully digital, adaptable, agile, and incremental platform and service that enables teams to collaborate from the start to manage and oversee structural changes.

The advantages of a purpose-built cloud EDM

Instead of depending on do-it-yourself solutions, businesses should consider a purpose-built, off-the-shelf EDM solution such as Oracle Enterprise Data Management. Consider Oracle EDM for the following reasons:

• Purpose-builtOracle EDM is designed specifically to address enterprise data change management issues. A complicated organization, for example, with multiple legal entities, and operational and analytical requirements, requires a flexible platform like EDM. The alternative is to create data management solutions from disparate technologies that were not designed to function together.
• Connected and integratedOracle EDM is an open interface that allows you to integrate with any system, whether it is operational or analytical, Oracle or non-Oracle. New templates enable implementation partners to use accelerators to expand the scope to incorporate third-party programs such as SAP, Workday, and others. All of these features are provided at no additional cost to EDM customers. In a do-it-yourself scenario, each of these capabilities would have to be coded by the customer and maintained over time through engineering change orders, necessitating ongoing care and feeding as well as additional costs to the company.
• Self-service and citizen-ledBusiness users, including application owners and data managers, can configure policies, permissions, and business rules so that EDM’s context-aware inference engine can invite participants to human workflows and automatically harmonize data across applications. Even the most complicated settings are designed to be available to the business, not IT, in the spirit of self-service. A visual designer, for example, can be used by business users to define business logic and translate their needs into calculated values, filters, predicates, and data transformations. You can modify data without coding knowledge if you can explain it logically.
• Rapid innovationOracle EDM is an established solution. It has been broadly available as a SaaS service for five years, during which time Oracle has delivered more than 25 major feature releases, rapidly delivering new capabilities to our clients. Oracle EDM has altered the game by directing its patented technologies to use agile techniques to incrementally evolve data transformation initiatives, add business rules atomically (one at a time without interfering with other rules), and adjust processes to changing data regulations and standards.

55% more efficient

The story of a huge retail organization exemplifies the distinction between build and buy choices. There were three enterprise resource planning (ERP) systems in use at the organization. As a result, all changes to the company’s chart of accounts had to be routed through these three ERPs, as well as planning, financial consolidation and closing, and other systems. It took at least four individuals and over five hours for the shop to perform a single master data change.

According to the company’s own time and motion research, the retailer understood it needed a more streamlined, automated approach, so they chose Oracle Cloud EDM. Now, change management involves one person and slightly more than two hours. Consider the resource reallocation they obtained in light of the regularity with which enterprise data must be managed for routine updates (not to mention major events, like a merger or a new ERP system).

According to the retailer’s research, Oracle EDM is 55% more efficient than their proprietary end-to-end process. In the short term, the company will cut licenses over several on-premises systems, standardize on one chart of accounts, and work toward automating the financial closure. It also features a unified enterprise data management approach that is used by all locations in all geographic regions.

The most significant distinction is that cloud-delivered EDM enables a corporation to optimize its data resources (people, knowledge, and technology), freeing up application administrators and others for more productive work. Instead of traditional data administration, they can focus on innovation and improving their competitive advantage.

When it comes to build vs. buy, “Buy” is definitely the best

The advantages of a cloud EDM solution extend beyond efficiency. A purpose-built EDM system can cut IT expenses, increase data governance, reduce the risk associated with incorrect data, and free up your employees to work on more value-added tasks. Building customized technology is similar to building and flying your personal airplane. You are the only person on the planet who is piloting that plane! Who would ever construct an airplane for themselves? It’s a terrible idea. Our commitment is to create software of the best quality, at the lowest possible cost, with the fewest errors and omissions, and at the lowest possible risk.

 

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Flexible Compute Resource Provisioning

With the Oracle Base Database Service family on Oracle Cloud Infrastructure, you can now execute Oracle Database applications quicker, with more data, and using appropriately sized database resources (OCI). Higher performance AMD Standard E4 Flex shape Virtual Machines (VMs) with OCI Block Volume storage enables you to run Oracle Enterprise Database Service with up to twice the compute, memory, storage, and networking capabilities previously available. These new capabilities help improve the computation and storage performance of Oracle Standard Database Service.

These VM DB System shapes are based on third-generation AMD EPYC Processors, allowing you to provide any number of OCPUs, up to a maximum of 64 OCPUs (128 vCPUs), with a single Enterprise Database Service VM. Each OCPU includes 16 GB of memory, so adding more OCPUs increases the memory available in a single VM to 1 TB. Each OCPU additionally includes 1 Gbps of network bandwidth, bringing the total amount of network bandwidth for a VM with 40 or more OCPUs to 40 Gbps.

Greater IOPS and Throughput with Higher Performance Storage

Oracle Base Database Service now provides higher-performance OCI Block Volume storage for workloads with high IO requirements. For single-node installations, AMD VM Standard E4 Flex forms loaded with higher performance storage may grow data capacity up to 80 TB and reach a maximum of 640K IOPS and 5,120 MB/s throughput. You may reach a maximum of 1,000K total IOPS and double the throughput of single-node deployments with a 2-node Oracle RAC deployment with higher performance storage. OCI Block Volume storage with balanced performance is still available and offers a good balance of performance and cost benefits for the majority of applications.

When you configure a VM DB System in the Oracle Cloud Infrastructure (OCI) Console, the theoretical IOPS is now displayed so you know what degree of IO performance to expect. The theoretical IOPS are displayed in the Console based on the number of OCPUs and storage settings. It also indicates which resource, compute or storage, is limiting IO performance, allowing you to make adjustments as needed to get the desired outcome.

Scaling your Database VM System

The amount of OCPUs in a compute shape can be readily scaled up or down from the OCI Console, with the change taking effect after a VM reboot. In a 2-node Oracle RAC configuration, reboots are performed in a rolling fashion, resulting in no database downtime.

You can also scale up data and recovery storage independently without affecting the VM DB System environment. This allows you to scale up data storage capacity and performance as needed to handle growing data warehouses and transactional workloads.

OCI Database Application Development and Deployment

Oracle Base Database Service is compatible with Oracle Database Enterprise and Standard Edition 12c, 19c, and 21c. Its convergent database engine boosts developer and operational productivity by supporting any data type, workload type, and development style. Oracle Database dramatically simplifies application development, data integration, and database management by allowing you to use a single enterprise-grade database that can be installed anywhere rather than having to maintain a separate single-purpose proprietary database for each data type and workload. With full compatibility with Oracle Database deployments on-premises and in the cloud, you can design applications once and operate them anywhere.

Oracle Base Database Service offers cloud automation via the OCI Console or APIs, reducing manual database administration activities and the possibility of human mistakes. The Oracle Maximum Availability Architecture, which constitutes the high-availability architecture for Oracle databases in the cloud, is developed on Integrated Oracle RAC and Oracle Data Guard. Oracle Base Database Service security not only protects data in the Oracle Database but also offers multi-layer defense-in-depth protection from the database to the cloud. In-depth defense works by adding controls throughout the Oracle stack to strike a balance between risk reduction and operational efficiency.

Oracle Base Database Service is always evolving with new features. Here are some recent changes that make it even more user-friendly.

• With custom database software images, you can easily distribute customer-specific updates across different platforms.
• Using the OCI Console or APIs, you may easily create and maintain Pluggable Databases (PDBs).
• OCI Vault allows you to centrally manage encryption keys.
• Use the built-in Performance Hub and Metrics to monitor database performance.

Summary

AMD VM Standard E4 Flex forms for Oracle Base Database Service offer granular OCPU and storage capabilities, allowing you to appropriately size compute, memory, and storage for database applications. By allocating database compute resources in single OCPU increments, you can avoid over-provisioning. Scaling up or down resources in an Oracle RAC setup without disrupting database operations improves availability and meets peak workload needs while lowering expenses.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

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For years, financial institutions have been steadily ascending in the digital banking space, upgrading consumer experiences, reducing time-consuming processes, and linking disparate areas of the organization through technology. Today, we have an opportunity to address the most pressing issues in financial services. With more digital customer banking than ever before, we can enable financial institutions to deliver services through new, innovative mediums while improving on traditional channels. With an estimated 2.5 billion individuals utilizing online banking globally by 2024, the time has come for financial institutions to embrace technology and modify outdated practices.

The great digital crossover

Customers of different generations want to interact with banks through smooth, usually digital experiences. According to recent research, baby boomers are the fastest-growing demographic of fintech consumers, with use among those aged 56 and older more than doubling year on year to 79%. As expected, younger generations are increasingly embracing digital-only channels, with 72% of millennials and Gen Zers preferring online and mobile banking over traditional brick-and-mortar banking. 5G’s low latency can improve the experience of ML-powered chatbots and more secure mobile applications for those who only engage with banks from the palm of their hands. Later in this article, we’ll look at how low latency can help with banking education and counseling using immersive augmented and virtual reality experiences.

In response to the growing implementation of digital banking, financial institutions have an opportunity to not only meet but also surpass, consumer expectations by offering digital goods and services that can become vital in people’s lives and financial habits. Banks may empower themselves to make intelligent money decisions in real-time by utilizing communications technologies. The next generation of network technology will have a significant impact on customers and how financial institutions serve them.

The influence of data on developing better customer experiences

Improving customer experiences is one of the primary goals of digital transformation for financial institutions. As these organizations implement digital technology, it is important to understand the function of data. Because 5G networks can reach speeds 20 times faster than 4G LTE networks, devices can communicate and share data more quickly than ever before.

These hyper-connections can support integrated finance and meet customers where they are with the financial solutions they require, whether that is a loan, payment program, insurance plan, or anything else, with the help of financial APIs.

The 5G network, in contrast to its predecessors, was built for industrial use cases. However, its possibilities extend to transforming the lives of consumers. 5G allows for the customization of experiences by collecting huge amounts of data created by consumer devices, ranging from payment information to location to a user’s behavioral data. Its ultra-low latency enables real-time information collecting and aggregation to generate suggestions based on learned customer preferences.

If customers agree to share data from their devices, banks may personalize the services and offer they receive. According to a recent Oracle survey, this is very important to millennial shoppers. More than half (55%) will select a financial services provider that offers products based on their life cycle. Whether it’s a means for them to save more money on their next grocery trip or a cashback incentive for visiting their favorite restaurant, the network can aggregate and analyze data to increase the personalization element.

Aside from the rewards that are often utilized and envisioned now, 5G can enable new experiences such as augmented and virtual reality experiences ranging from virtual trade to immersive customer interactions. Assume you want to chat with a financial advisor about first-time home financing. People may be able to check in to chat with a hologram advisor from the comfort of their own homes, making wise advice more accessible to customers.

As more and more types of data and information are transmitted wirelessly between devices, it is important to keep this data secure. The digital economy necessitates a network that can scale, is adaptable to diverse types of information, and is compatible with existing technologies.

IoT Evolution

5G’s extraordinary speeds and expanded network capabilities will pave the way for device proliferation, particularly for IoT devices, which are predicted to increase exponentially in the coming years. Legacy finance platforms designed to manage traditional finance models will be pushed to innovate and scale to meet the stringent needs of the 5G era.

5G targets a diverse range of stakeholders and application cases. Heavy equipment might be difficult to purchase outright for businesses, but it can be set up for recurring payments with no plan of ownership. Assets can be funded with Oracle Financial Services Lending and Leasing without requiring a large upfront capital expenditure. Financing can be established entirely on consumption statistics and location tracking by exploiting 5G-enabled IoT. Sensors can be installed on vehicles, farm equipment, manufacturing equipment, residences, and other objects to gather, analyze, and record data. Furthermore, IoT technology can identify recurring patterns of consumption and performance data to recommend extra services, such as a maintenance plan, to add value to the business relationship.

Banks and insurance businesses are also always looking for ways to improve data sharing and security by using advanced analytics such as Artificial Intelligence (AI) and Machine Learning (ML) capabilities geared to detect and probe fraud to avoid financial crime. According to Ernst & Young, the yearly cost of money laundering and related crimes ranges from $1.4 trillion to $3.5 trillion. The 5G network can help with the collection and processing of huge amounts of data.

Financial services of the future

Next-generation technological applications and solutions can completely transform the financial services industry. In some circumstances, they are already having an impact on digital asset strategies. Various financial efforts employing blockchain have begun, pushing the movement toward decentralized finance (DeFi) and effectively unbundling traditional finance. All of them attempt to replace centrally managed transactions with peer-to-peer partnerships for a wide range of financial services, from everyday banking to lending and borrowing to trading. Blockchain facilitates exchanges and creates a new marketplace. With 5G, interconnection grows exponentially, increasing efficiency across the sector and impacting technology investments.

According to a recent survey done by Oracle and MIT Technology Review, 62% of financial industry respondents have increased tech spending to promote business. Financial services, being a complex, demanding, and highly regulated industry, has continued to quickly develop to promote customer-centricity, support innovation, combat financial crime, and improve efficiency. This approach has allowed financial institutions to remain relevant and competitive. 5G can act as a catalyst for new mobile applications and use cases. The financial services industry will be able to continue to develop and grow to meet and exceed consumer expectations by collaborating with service providers on 5G adoption.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

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As the average luxury consumer profile transforms, with Coresight Research reporting that over 70% of them are now millennials and Generation Z, the brand luxury shops must consider engagement that extends beyond the walls of their boutiques and into the internet sphere. While many luxury retailers were concerned that always-on accessibility would damage their brands and weaken hard-won customer relationships, many are discovering that incorporating digital tools can improve personalization, highlight what makes their products more attractive, and even create the scarcity that drives much luxury consumption.

As luxury brands analyze how to build relationships with younger consumers with increasing buying power, this Retail TouchPoints Special Report offers top recommendations to consider, including:

• To emphasize the aspirational character of luxury, 3D imagery, digital storytelling, and NFTs are used.
• Personal virtual shopping sessions can provide luxury retail to customers wherever they are in the world; and
• Using information acquired from clients’ use of digital tools to create more intimate interactions.

Modern retail technology allows luxury companies to pivot to the customer

Q&A with Estée Lauder: How is retail technology being used to improve the customer experience?

Estée Lauder has created a common IT/Retail/OMNI governance and launched a Direct To Consumer (DTC) program. Despite extreme constraints such as confinement, health protocols, budget cuts, international travel restrictions, and hardware shortages, they have succeeded in implementing their roadmap and providing new essential services to their customers, such as integrated payment, click and reserve, loyalty, and gift card.

With Oracle Retail, Swiss luxury apparel house Bally advances in customer service

Bally, which was founded in 1851, is one of the world’s oldest luxury companies, producing shoes, bags, accessories, and ready-to-wear clothes. While the brand evolves to serve numerous generations, it is committed to providing outstanding quality and customer service. Bally is replacing its current Retail Point of Service (POS) systems with Oracle Retail Xstore in 18 countries to deliver on this commitment. Bally employees will have simple access to the data they need to better understand customer preferences and move freely to help customers discover the items they are looking for – whether in-store or online – and check out with ease, thanks to the mobile Oracle solutions.

Oracle Cloud technologies are being used by the Prada Group to improve operational efficiency and effectiveness

To create the most effective in all of the Prada Group’s core retail activities, the Prada Group has implemented a suite of Oracle modern technical solutions. They will also assist the company in analyzing historical data and current market demands throughout its global retail network of 634 stores, allowing it to make better business decisions and provide a more personalized consumer experience.

The Prada Group will optimize its merchandising process, including sales and forecasts, performance analysis, margin, open-to-buy, inventory management, supply chain, and inventory allocation, with Oracle Retail Cloud Services Merchandise Financial Planning, Assortment, and Item Planning. Implementing this solution will result in a more informed examination of the Group’s key performance indicators (KPIs) and a greater ability to set new goals and allocate more precise budgets.

With Oracle Retail Customer Engagement Cloud Services and Oracle Retail Xstore Point of Service, the Group will be able to deepen its customer relationships at the point of purchase. The two platforms will enable real-time visibility into all customer-related facts across all connections, allowing for a more personalized buying experience. Discover more about Prada.

Chalhoub, a luxury shop, modernizes the customer experience using Oracle Point of Service

Chalhoub, a luxury retailer, uses Oracle Retail Xstore Point-of-Service to improve its customer experience. Chaloub’s Oracle Retail Xstore deployment was the first in the Middle East and took six months to complete in collaboration with Logic Information Systems. The Dubai storefront project comprised the deployment of more than 100 registers, 60 of which are mobile, bringing the brand mobile checkout, integrated payment systems, and improved retail operations.

In Damascus, Syria, Chalhoub began as a family business licensing foreign brands in 1955. It presently has a network of 650 retail outlets in the Middle East, carrying fashion and cosmetic names such as Chanel, Louis Vuitton, and Christian Louboutin. The Chalhoub Group now employs over 12,000 people across 14 countries.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

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The skill reward is right in front of you. Skills are quickly becoming the main currency for all talent exchanges. Millennials understand that if they have the correct skill set, they can be hired regardless of their career history or educational qualifications.

Organizations that have a clear strategy for recognizing the talents of their talent base have a significant strategic advantage over their competitors. They can estimate future talent requirements, discover and deploy the resources required to reskill their talent base, find the right people externally, and do projects faster and more efficiently than the competitors.

The prescriptive approach

Most businesses that worked with have explored different methods for unlocking the power of skills, and while the methods change, the goal is to develop a clean classification of skills to serve as its database.

One approach is to build a full competency catalog and a matrix that connects competencies at different degrees of expertise with each job description. The prescriptive approach is so named because the talent management team is in charge of curating and managing the skill matrix.

Despite all of their efforts, businesses usually fail to achieve the expected results because they misunderstand how dynamic their skills landscape is. New skills develop, and many skills become outdated so quickly that neither talent management organization can keep up. Keeping the competency catalog up to date, connecting new skills to suitable learning and career development resources, or executing simple aggregate analytics require the creation and maintenance of a complex hierarchy of skills and competencies.

With greater complexity in skill organization, the maintenance costs associated with such a setup might grow quickly. Driving positive network effects is ultimately what determines success. The greater the participation of corporate management, employees, recruiters, and learning and development administrators, the greater the value each stakeholder receives.

When employees don’t see the value of spending their time, the early momentum usually disappears quickly. They may be unable to locate their specific skill set in the competency catalog, or the learning resources associated with the required career development areas may not properly meet their needs and objectives. While some organizations have given up after a while, others continue to operate with such issues.

The natural approach

Machine learning and natural language processing (NLP) advances are opening the way for innovative approaches to this problem. We now have the technology to automatically extract skills from documents such as a resumé or job requisition, or to allow free-form skill entry, to determine how significant and relevant each of those abilities is to one or more job titles.

We can now identify which skills are important and which are not. We can assign skills to employees and candidates, careers and job advertisements, jobs, and learning catalogs. We can create interactive experiences that allow employees to identify skills that already have and desire to develop, as well as engage them with AI-based ideas as they look for their next big career step.

This procedure presents a fully automated, organic, employee-driven skills model. It can easily keep up with a quickly changing skill landscape. It takes no or little attention. Because all stakeholders see immediate value in participating, network things result.

Customers express concern in our discussions about the lack of control over which skills proliferate in the system and the quality of skills that begin to make their way into the system. We also hear concerns about the analytical challenge that occurs as skill quality degrades. Many AI-based solution suppliers fail to address the issue of implementation effort.

Oracle Dynamic Skills: A Balanced Approach

Addressing these needs today requires a more diverse and complicated approach. AI and NLP-based skill models are the way to go if you want to keep your skills catalog up to date. We also know from our discussions that the option for customers to include their expertise in the catalog is important.

While the system must be able of using AI and automated workflows to keep the skill-to-job title mapping up to date, it must also allow for free-form skill entry and skills discovery from other documents, as well as the ability for administrators to rename skills to meet business demands.

For example, suppose a candidate has experience with change management and a recruiter is searching for someone with experience with business transformation. Customers expect those modern AI systems that recommend matching candidates will identify that these talents are similar in meaning and context. Customers expect to be able to explain that these two abilities are not only similar but interchangeable in their particular company context.

Customers want skill similarity so they can answer questions like “How many employees with machining skills moved from our automotive business unit to our defense business unit?” In such cases, managers who have such insight can start with a skill like CNC machining and look for similar skills, such as 3D simulation modeling or manufacturing techniques, and group them for analysis.

The goal to achieve a balance between prescriptive and organic approaches to fulfill these objectives motivated us in creating the Oracle Dynamic Skills AI solution. As a result, we created a skills recommendation engine for our human capital management (HCM) customers that recommend skills for employees, candidates, job requisitions, career profiles, and courses in less than a day. The skills associated with each entity are now an important matching feature for our smart matching algorithms. Data retrieval, analysis, AI data modeling, and deployment are entirely automated, and any skill or intelligent matching recommendations are carefully incorporated into the appropriate HCM workflows, right where you need them. There is no need for integration or data science experience.

Conclusion

Data on skills is the new gold. Organizations with a clear approach to recognizing their talent base’s skills and the ability to utilize them successfully have a significant strategic edge over their competitors. The trick is to find an approach that can deal with the extremely dynamic nature of skills data and that can integrate AI-powered insight directly into the organization’s recruiting and talent management software, allowing the HR staff to use it as part of their daily processes with minimal effort.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com

Data is growing at an exponential rate, and increasing automation is creating a flood of data from smartphones, mobile, and IoT devices, security systems, satellite imaging, cars, and other sources. The challenge then arises, how can we rapidly obtain useful insights from ever-growing data sets of various types and sources?

Graph technology allows developers and analysts to easily get significant insights by exploring relationships and discovering connections in data. Much of the world’s data is truly linked, including financial transactions, personal and professional networks, manufacturing supply lines, and so on. Graphs show those connections instantly.

Here’s an example of how data sets are linked and how complicated analysis might become as a result of data connections.

Graph data platforms enable developers to work more efficiently. They provide the performance and scalability required for big installations, while improved query and search capabilities simplify access and reduce time to insights for connected-data use cases.

Oracle makes it simple to implement graph technology. Oracle’s converged database includes graphs, which allow multi-model, multi-workload, and multi-tenant needs in a single database engine. The strength of built-in graph algorithms, pattern matching queries, and visualization in Oracle Database and Oracle Autonomous Database enable analysts to swiftly find new insights. Graph analytics may be readily added to existing systems by making use of Oracle Database’s performance, scalability, reliability, and security.

Oracle is recognized as a leader in graph data platforms

Forrester evaluated graph data systems using 27 criteria. Graph model/engine, deployment options, cloud, app development, API/extensibility, data loading/ingestion, data management, transactions, queries/search, analytics, visualization, high availability and disaster recovery, scalability, performance, data security, workloads, and use cases are some of the main criteria.

Why graph technologies from Oracle?

The following are key features of the Oracle offering:

1. Complete graph database that supports both property graphs and RDF knowledge graphs. Oracle Database makes it easier to describe relational data as graph structures. It simplifies the identification, processing, and visualization of linked data sets on-premises or in the cloud.
2. Enterprise-level scalability and security. Interactive graph queries can be executed directly on graph data or on a high-performance in-memory graph server, which can handle millions of concurrent users and queries per second. Customers benefit from fine-grained security, high availability, simple management, and connection with other data sources in business applications. Oracle offers advanced multilevel access control for property graph vertices and edges, as well as RDF triples. Oracle also complies with ISO and W3C standards for representing and designing graphs and graph query languages.
3. Comprehensive graph analytics to analyze relationships using over 60 prebuilt algorithms.  To generate, query, and analyze graphs, analysts can utilize SQL, native graph languages, JAVA, and Python APIs, as well as Oracle Autonomous Database capabilities. They may quickly display relationships in data to identify insights, and then publish and share analytical results using interactive analytics and visualization tools. Graph Studio in Autonomous Database allows practically anybody to get started with graphs to investigate data relationships. Graph Studio streamlines the graph analytics lifecycle by automating graph data administration and simplifies modeling, analysis, and visualization.

Graph analytics use cases

Money laundering detection in financial services: Users may develop a graph from transactions between entities as well as entities that share certain information, such as email addresses, passwords, and more, to make fraud detection easier. A single query will uncover all consumers with accounts that have comparable information, expose which accounts are participating in circular payment schemes, and detect patterns used to continue fraud after a graph has been formed.

Traceability in manufacturing: Traceability is extremely important in the manufacturing industry. A car manufacturer may have to recall a vehicle because it has a component that was produced at a facility within a specified time period. Most businesses have a production database, a retail database, a sales database, and a shipping database. Unless the business has a graph database to link all the relationships and graph algorithms to highlight connections and essential information, it is difficult to uncover all the relevant information to locate the automobiles with the problem, where they were delivered, and to whom they were sold.

Criminal investigation: Graphing data is a simple and efficient technique to detect criminal networks and search for trends. The use of graph-based algorithms makes it simpler to pinpoint specific places, highlight co-traveler links, and identify significant suspects and criminal groups. Users, for example, can determine the “weakest link,” or the vertex on which the graph is dependent, by using betweenness centrality. If you delete that vertex, the entire network may collapse, indicating that you have just discovered the linchpin of a criminal organization.

Data regulation and privacy: A graph is ideal for tracking data lineage. By tracing the edges, the many stages of the data lifecycle may be followed and browsed vertex by vertex. With a graph, it is able to trace a path and determine where the information originated, where it was copied, and where it was used. With all of this information presented in a graph, data professionals may more easily assess how to meet GDPR requirements while remaining compliant.

Product recommendations in marketing: Graph databases capture all data and connect it to deliver real-time suggestions based on client demands and product trends. Many major organizations rely on graph analytics to generate product recommendations since the linkages are already defined and the analysis of these relationships to provide suggestions is quick. Graph analysis may also uncover trends that expose trolls, bots, falsely boosted reviews, and information that may bias marketing analysis.

Summary

Graph technology facilitates the exploration of relationships and the discovery of connections in data. Pattern recognition, classification, statistical analysis, and machine learning may be applied to these models by users, including non-technical ones, allowing for more efficient analysis at scale against huge amounts of data.

 

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Here at CourseMonster, we know how hard it may be to find the right time and funds for training. We provide effective training programs that enable you to select the training option that best meets the demands of your company.

For more information, please get in touch with one of our course advisers today or contact us at training@coursemonster.com