Oracle Real Application Clusters (RAC) on Oracle Database 19c

February 28, 2019 | 62 views

Oracle Real Application Clusters (RAC) is an option to the Oracle Database that provides high availability (HA) and scalability to the Oracle Database without requiring any application changes. There is no other solution in the market that provides all the features as Oracle RAC. Enterprises today continue to generate more and more data at an unprecedented pace. Couple that with the need for corporations to rapidly analyze this growing data and identify trends to react quickly to changing market conditions. The complexity of these challenges requires increasing amount of computing power.

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AI TECH

The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 20, 2022

Fifth-generation (5G) mobile phone networks that can carry data up to 50 times faster than major carriers' current phone networks are now rolling out. But 5G promises to do more than just speed up our phone service and download times. The mobile industry's fifth-generation (5G) networks are being developed and are prepared for deployment. The expansion of IoT and other intelligent automation applications is being significantly fueled by the advancing 5G networks, which are becoming more widely accessible. For advancements in intelligent automation—the Internet of Things (IoT), Artificial Intelligence (AI), driverless cars, virtual reality, blockchain, and future innovations we haven't even considered yet—5 G's lightning-fast connectivity and low-latency are essential. The arrival of 5G represents more than simply a generational shift for the tech sector as a whole. Contributions by 5G Networks For a number of reasons, the manufacturing sector is moving toward digitalization: to increase revenue by better servicing their customers; to increase demand; to outperform the competition; to reduce costs by boosting productivity and efficiency; and to minimize risk by promoting safety and security. The main requirements and obstacles in the digitization industry were recently recognized by a study. Millions of devices with ultra-reliable, robust, immediate connectivity. Gadgets, which are expensive with a long battery life. Asset tracking along the constantly shifting supply chains. Carrying out remote medical operations. Enhancing the purchasing experience with AR/VR. Implementing AI to improve operations across the board or in various departments. The mobile telecommunications requirements of the Internet of Things cannot be met by the current 4G and 4G LTE networks. Compared to current 4G LTE networking technologies, 5G can also offer a solution to the problem and the quickest network data rate with a relatively low cost and greater communication coverage. The 5G network's quick speeds will lead to new technical developments. The upcoming 5G technology will support hundreds of billions of connections, offer transmission speeds of 10 Gbps, and have an extremely low latency of 1 ms. Additionally, it makes rural areas' services more dependable, minimizing service disparities between rural and urban areas. Even though the 5G network is a development of the 4G and 4G LTE networks, it has a whole new network design and features like virtualization that provide more than impressively fast data speeds.

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SOFTWARE

AI's Impact on Improving Customer Experience

Article | August 2, 2022

To enhance the consumer experience, businesses all over the world are experimenting with artificial intelligenace (AI), machine learning, and advanced analytics. Artificial intelligence (AI) is becoming increasingly popular among marketers and salespeople, and it has become a vital tool for businesses that want to offer their customers a hyper-personalized, outstanding experience. Customer relationship management (CRM) and customer data platform (CDP) software that has been upgraded with AI has made AI accessible to businesses without the exorbitant expenses previously associated with the technology. When AI and machine learning are used in conjunction for collecting and analyzing social, historical, and behavioral data, brands may develop a much more thorough understanding of their customers. In addition, AI can predict client behavior because it continuously learns from the data it analyzes, in contrast to traditional data analytics tools. As a result, businesses may deliver highly pertinent content, boost sales, and enhance the customer experience. Predictive Behavior Analysis and Real-time Decision Making Real-time decisioning is the capacity to act quickly and based on the most up-to-date information available, such as information from a customer's most recent encounter with a company. For instance, Precognitive's Decision-AI uses a combination of AI and machine learning to assess any event in real-time with a response time of less than 200 milliseconds. Precognitive's fraud prevention product includes Decision-AI, which can be implemented using an API on a website. Marketing to customers can be done more successfully by using real-time decisioning. For example, brands may display highly tailored, pertinent content and offer to clients by utilizing AI and real-time decisioning to discover and comprehend a customer's purpose from the data they produce in real-time. By providing deeper insights into what has already happened and what can be done to facilitate a sale through suggestions for related products and accessories, AI and predictive analytics are able to go further than historical data alone. This increases the relevance of the customer experience, increases the likelihood that a sale will be made, and increases the emotional connection that the customer has with a brand.

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SOFTWARE

The Evolution of Quantum Computing and What its Future Beholds

Article | July 14, 2022

The mechanism of quantum computers will be entirely different from anything we humans have ever created or constructed in the past. Quantum computers, like classical computers, are designed to address problems in the real world. They process data in a unique way, though, which makes them a much more effective machine than any computer in use today. Superposition and entanglement, two fundamental ideas in quantum mechanics, could be used to explain what makes quantum computers unique. The goal of quantum computing research is to find a technique to accelerate the execution of lengthy chains of computer instructions. This method of execution would take advantage of a quantum physics event that is frequently observed but does not appear to make much sense when written out. When this fundamental objective of quantum computing is accomplished, and all theorists are confident works in practice, computing will undoubtedly undergo a revolution. Quantum computing promises that it will enable us to address specific issues that current classical computers cannot resolve in a timely manner. While not a cure-all for all computer issues, quantum computing is adequate for most "needle in a haystack" search and optimization issues. Quantum Computing and Its Deployment Only the big hyperscalers and a few hardware vendors offer quantum computer emulators and limited-sized quantum computers as a cloud service. Quantum computers are used for compute-intensive, non-latency-sensitive issues. Quantum computer architectures can't handle massive data sizes yet. In many circumstances, a hybrid quantum-classical computer is used. Quantum computers don't use much electricity to compute but need cryogenic refrigerators to sustain superconducting temperatures. Networking and Quantum Software Stacks Many quantum computing software stacks virtualize the hardware and build a virtual layer of logical qubits. Software stacks provide compilers that transform high-level programming structures into low-level assembly commands that operate on logical qubits. In addition, software stack suppliers are designing domain-specific application-level templates for quantum computing. The software layer hides complexity without affecting quantum computing hardware performance or mobility.

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FUTURE TECH

Language Models: Emerging Types and Why They Matter

Article | July 7, 2022

Language model systems, often known as text understanding and generation systems, are the newest trend in business. However, not every language model is made equal. A few are starting to take center stage, including massive general-purpose models like OpenAI's GPT-3 and models tailored for specific jobs. There is a third type of model at the edge that is intended to run on Internet of Things devices and workstations but is typically very compressed in size and has few functionalities. Large Language Models Large language models, which can reach tens of petabytes in size, are trained on vast volumes of text data. As a result, they rank among the models with the highest number of parameters, where a "parameter" is a value the model can alter on its own as it gains knowledge. The model's parameters, which are made of components learned from prior training data, fundamentally describe the model's aptitude for solving a particular task, like producing text. Fine-tuned Language Models Compared to their massive language model siblings, fine-tuned models are typically smaller. Examples include OpenAI's Codex, a version of GPT-3 that is specifically tailored for programming jobs. Codex is both smaller than OpenAI and more effective at creating and completing strings of computer code, although it still has billions of parameters. The performance of a model, like its capacity to generate protein sequences or respond to queries, can be improved through fine-tuning. Edge Language Models Edge models, which are intentionally small in size, occasionally take the shape of finely tuned models. To work within certain hardware limits, they are occasionally trained from scratch on modest data sets. In any event, edge models provide several advantages that massive language models simply cannot match, notwithstanding their limitations in some areas. The main factor is cost. There are no cloud usage fees with an edge approach that operates locally and offline. As significant, fine-tuned, and edge language models grow in response to new research, they are likely to encounter hurdles on their way to wider use. For example, compared to training a model from the start, fine-tuning requires less data, but fine-tuning still requires a dataset.

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Spotlight

QuintessenceLabs

QuintessenceLabs is the leader in quantum-enhanced cybersecurity. We provide enterprises with the strongest data protection today, preparing them for a quantum-safe tomorrow. Products from QuintessenceLabs combine world class security expertise with advanced science to create high-value technology, including a quantum-based random number generator, a high-performance, interoperable key and policy manager and a broad range of strong encryption solutions.

Related News

Oracle fortifies its IoT Applications with HERE Location Suite

IoT Business News | February 20, 2019

HERE Technologies, a global leader in mapping and location platform services, and a Gold-level member of Oracle PartnerNetwork (OPN), today announced that Oracle Internet of Things (IoT) Cloud has integrated the HERE Location Suite into its IoT services. This new integration enhances Oracle’s lineup of IoT applications by improving location precision for industrial assets connected to Oracle IoT Cloud applications to enable real-time machine health monitoring, remote warehouse operations management, freight transportation and last-mile delivery, and supply chain spatial health metrics. IoT is expanding at a rapid rate as enterprises and vendors become more aware of the possibilities of connectivity. As IoT evolves and the world becomes increasingly connected, more precise, accurate location data has become an ever-more critical component to effective IoT operations. Accurately pinpointing assets reveals crucial information about their functioning and usage, which offers businesses more valuable information about their products. For more than 15 years, HERE has been powering Oracle products with fundamental location functionalities, including mapping, geocoding and truck routing. This latest integration builds on that strong relationship. “Through our collaboration with Oracle we are creating an opportunity for customers to transform their businesses. Now that the HERE Location Suite is integrated into Oracle IoT Cloud, customers gain actionable intelligence to increase operational efficiency, from finding assets more quickly to proactively identifying and fixing vulnerabilities,” said Sandy Hogan, SVP General Manager Americas at HERE. “As a trusted, longtime partner, HERE provides Oracle with complete global mapping coverage and high-quality geocoding for the precise location insights required for our IoT applications,” said Jai Suri, Senior Director, Product Management, IoT Cloud at Oracle.

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Oracle launches Java Card 3.1 to boost security for IoT devices at the edge

IoT Tech News | January 18, 2019

Oracle has launched the latest version of Java Card, its open application platform that secures some of the world’s most sensitive devices. The Java Card 3.1 is an extensive update that aims to offer more flexibility in order to meet the special hardware and security requirements of both existing secure chips and emerging IoT technologies. The Java Card 3.1 has features that addresses use cases across markets ranging from telecom and payments to cars and wearables. There are nearly six billion Java Card-based devices deployed every year. But the software platform, which is known to run security services on smart cards and secure elements, is already a leader in the market since many years. This platform has introduced some new features that make applications more portable across security hardware critical to IoT, which allows new uses for hardware-based security, such as multi-cloud IoT security models, and makes Java Card a suitable solution for billions of IoT devices that require security at the edge of the network. Security remains a key benchmark for the industry as 2019 begins to develop. Earlier this month BCC Research put together a report which predicted that the IoT security market, valued at £1.31bn, will reach £4bn by 2023 at a CAGR of 25.1%.

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Oracle introduces hybrid cloud solution – for its own cloud

Network World | December 19, 2018

Combination of on-premises and cloud services works great if you are invested in Oracle’s cloud. I’m beginning to understand why Thomas Kurian left Oracle to try and right the foundering ship that is Google Cloud Platform. He reportedly butted heads with the boss (that would be Larry Ellison) over a desire to make Oracle products more readily available on competitive cloud platforms, and this announcement reflects that. It’s a nice bit of news if you are an Oracle customer, but not if you use a competitive product. Last week at KubeCon, the company announced the Oracle Cloud Native Framework, which is designed for organizations looking to build hybrid cloud architectures across both public cloud and on-premises infrastructure. It’s something all of the competition is doing, of course. Oracle’s efforts are best compared to Microsoft and IBM, since they also had legacy systems and customers to move to the cloud as well. In that regard, Oracle is doing a really good job at vendor lock-in. The public cloud part of Oracle Cloud Native Framework connects to Oracle Cloud Infrastructure, Oracle's basic IaaS platform that allows organizations to build and run applications in Oracle's cloud data centers.

Read More

Oracle fortifies its IoT Applications with HERE Location Suite

IoT Business News | February 20, 2019

HERE Technologies, a global leader in mapping and location platform services, and a Gold-level member of Oracle PartnerNetwork (OPN), today announced that Oracle Internet of Things (IoT) Cloud has integrated the HERE Location Suite into its IoT services. This new integration enhances Oracle’s lineup of IoT applications by improving location precision for industrial assets connected to Oracle IoT Cloud applications to enable real-time machine health monitoring, remote warehouse operations management, freight transportation and last-mile delivery, and supply chain spatial health metrics. IoT is expanding at a rapid rate as enterprises and vendors become more aware of the possibilities of connectivity. As IoT evolves and the world becomes increasingly connected, more precise, accurate location data has become an ever-more critical component to effective IoT operations. Accurately pinpointing assets reveals crucial information about their functioning and usage, which offers businesses more valuable information about their products. For more than 15 years, HERE has been powering Oracle products with fundamental location functionalities, including mapping, geocoding and truck routing. This latest integration builds on that strong relationship. “Through our collaboration with Oracle we are creating an opportunity for customers to transform their businesses. Now that the HERE Location Suite is integrated into Oracle IoT Cloud, customers gain actionable intelligence to increase operational efficiency, from finding assets more quickly to proactively identifying and fixing vulnerabilities,” said Sandy Hogan, SVP General Manager Americas at HERE. “As a trusted, longtime partner, HERE provides Oracle with complete global mapping coverage and high-quality geocoding for the precise location insights required for our IoT applications,” said Jai Suri, Senior Director, Product Management, IoT Cloud at Oracle.

Read More

Oracle launches Java Card 3.1 to boost security for IoT devices at the edge

IoT Tech News | January 18, 2019

Oracle has launched the latest version of Java Card, its open application platform that secures some of the world’s most sensitive devices. The Java Card 3.1 is an extensive update that aims to offer more flexibility in order to meet the special hardware and security requirements of both existing secure chips and emerging IoT technologies. The Java Card 3.1 has features that addresses use cases across markets ranging from telecom and payments to cars and wearables. There are nearly six billion Java Card-based devices deployed every year. But the software platform, which is known to run security services on smart cards and secure elements, is already a leader in the market since many years. This platform has introduced some new features that make applications more portable across security hardware critical to IoT, which allows new uses for hardware-based security, such as multi-cloud IoT security models, and makes Java Card a suitable solution for billions of IoT devices that require security at the edge of the network. Security remains a key benchmark for the industry as 2019 begins to develop. Earlier this month BCC Research put together a report which predicted that the IoT security market, valued at £1.31bn, will reach £4bn by 2023 at a CAGR of 25.1%.

Read More

Oracle introduces hybrid cloud solution – for its own cloud

Network World | December 19, 2018

Combination of on-premises and cloud services works great if you are invested in Oracle’s cloud. I’m beginning to understand why Thomas Kurian left Oracle to try and right the foundering ship that is Google Cloud Platform. He reportedly butted heads with the boss (that would be Larry Ellison) over a desire to make Oracle products more readily available on competitive cloud platforms, and this announcement reflects that. It’s a nice bit of news if you are an Oracle customer, but not if you use a competitive product. Last week at KubeCon, the company announced the Oracle Cloud Native Framework, which is designed for organizations looking to build hybrid cloud architectures across both public cloud and on-premises infrastructure. It’s something all of the competition is doing, of course. Oracle’s efforts are best compared to Microsoft and IBM, since they also had legacy systems and customers to move to the cloud as well. In that regard, Oracle is doing a really good job at vendor lock-in. The public cloud part of Oracle Cloud Native Framework connects to Oracle Cloud Infrastructure, Oracle's basic IaaS platform that allows organizations to build and run applications in Oracle's cloud data centers.

Read More

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