Virtual Humans on Oracle Cloud Infrastructure HPC

January 3, 2019 | 72 views

A great cloud success story is how Oracle Cloud Infrastructure has enabled ELEM Biotech. We've invited ELEM Biotech founders Mariano Vazquez, Chris Morton, Guillaume Houzeaux, and Jose Maria Cela to share how Oracle Cloud Infrastructure High-Performance Computing (HPC) enables them to make Virtual Humans.

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Marketo

Marketo, Inc., offers the leading Engagement Platform that empowers marketers to create lasting relationships and grow revenue. Consistently recognized as the industry’s innovation pioneer, Marketo is the trusted platform for thousands of CMOs thanks to its scalability, reliability, and openness.

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AI's Impact on Improving Customer Experience

Article | July 13, 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 8, 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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AI TECH

Language Models: Emerging Types and Why They Matter

Article | July 20, 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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SOFTWARE

Low-code and No-code: A Business' New Best Friend

Article | July 5, 2022

Businesses are starting to integrate artificial intelligence (AI) into their workflow in greater numbers as a result of the growth of digital transformation and developments in machine learning (ML). As a result, platforms that need no coding, as well as their low-code counterparts, are becoming more popular. This development is a step toward computer science's long-term objective of automating manual coding. Low-code/no-code AI platforms will be beneficial to businesses in more data-driven industries like marketing, sales, and finance. AI can assist in a variety of ways, including automating invoicing, evaluating reports, making intelligent suggestions, and anticipating churn rates. How Does an Organization Look at Low-code/No-code as the Future? Developers and other tech-related positions are in high demand, particularly in the fields of AI and data science. Organizations have the chance to close the gap with the aid of citizen data scientists who don't require an AI professional to design unique AI solutions for many scenarios, thanks to low-code and no-code AI technologies. The demand for technological solutions and AI technologies is rising significantly as the technological landscape rapidly changes. AI systems, for example, require complex software that uses a lot of code, a variety of frameworks, and the Internet of Things (IoT). One person's capacity to comprehend every technical detail is strained by the array of complicated technology. Software delivery must be timely, effective, and secure while maintaining high standards. Conclusion Low-code AI solutions offer the speed, ease of use, and adaptability of ready-made software solutions while also drastically reducing the time to market for AI solutions and the cost of recruiting software and computer vision engineers. Organizations are free to construct the architecture, functionality, or pipeline that best suits their project, the sky being the limit. However, creating such unique models may be both costly and time-consuming. Therefore, employing low-code/no-code platforms would apply to particular pipeline actions that would streamline and accelerate the processes.

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Spotlight

Marketo

Marketo, Inc., offers the leading Engagement Platform that empowers marketers to create lasting relationships and grow revenue. Consistently recognized as the industry’s innovation pioneer, Marketo is the trusted platform for thousands of CMOs thanks to its scalability, reliability, and openness.

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SOFTWARE

LTI Strengthens Strategic Collaboration with Microsoft

LTI | August 03, 2022

Larsen & Toubro Infotech , a global technology consulting and digital solutions company, has announced the expansion of its collaboration with Microsoft to focus on developing high-value cloud solutions for enterprises. As a part of this multi-year collaboration, LTI has launched a dedicated Microsoft business unit that develops and offers end-to-end digital transformation solutions. Through this association, LTI will also train 12,000 professionals from its existing workforce on various Microsoft technologies by 2024. The main objective of this effort is to enable skill development of LTI employees that are a part of the Microsoft unit and enhance their competencies across technologies like cloud, data, IoT and security. “LTI has a long-standing relationship with Microsoft as a strategic partner, service provider, and customer. Our reaffirmed partnership with Microsoft will enable us to innovate and offer 170+ distinct services to our joint customers. Additionally, we will also focus on the training and upskilling of our talent pool that is a part of the dedicated Microsoft business unit, to empower them to meet changing business and market requirements.” Nachiket Deshpande, Chief Operating Officer, LTI Siddharth Bohra, Chief Business Officer & Head of Cloud Business Unit, LTI, said, “Enterprises across the globe are increasingly embracing cloud, and LTI has made impressive strides in developing a multi-dimensional capability on Azure to meet this demand. As part of this collaboration, LTI and Microsoft will jointly innovate, develop, and sell solutions to assist enterprises in acceleration of their digital transformation journeys.” Julie Sanford, Vice President, Partner GTM, Programs & Experiences, Microsoft, said, “Through their new Microsoft Business Unit, LTI will be able to help customers implement cloud strategies and drive business transformation across industries and geographies. We look forward to working with LTI as they build new capabilities and deliver innovative solutions on the Microsoft Cloud.” Through this association, LTI will attain the Solution Partner designation across all the Microsoft Solution Areas. LTI also has the following advanced specializations on Azure: - SAP on Azure: Validating the capability of implementing SAP solutions on Azure. - Analytics on Azure: Demonstrating the expertise in delivering analytics solutions in Microsoft Azure. - Windows Server and SQL Server: Expertise in migrating production workloads to Microsoft Azure. - Modernization of Web Applications: Validating expertise in migrating and deploying production web application workloads, applying DevOps, and managing app services in Microsoft Azure. - Kubernetes on Azure: validating capabilities in deploying and managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure. - Low Code Application Development: Expertise in building solutions using Power Apps. - The Data Warehouse Migration to Microsoft Azure: Validating expertise in analyzing existing workloads and performing ETL operations to migrate data to cloud-based data warehouses. - Cloud Security: Validates a means for your company to showcase capabilities to implement comprehensive security solutions across Azure, hybrid, and multi-cloud environments. - Threat Protection: provides a means for your company to showcase proven, verifiable expertise in deploying Microsoft Threat Protection or Microsoft Cloud App Security workloads. - AI and Machine Learning in Microsoft Azure: Validates capabilities on enabling customer adoption of Al and implementing Azure solutions for Al-powered apps. LTI is an Azure Expert MSP Partner which demonstrates deep knowledge, extensive experience, and proven success in implementing specialized workloads such as Migration and Modernization, SAP on Azure, Data Analytics, Internet of things (IoT), Security, and Microsoft Dynamics 365. About LTI LTI is a global technology consulting and digital solutions Company helping more than 495 clients succeed in a converging world. With operations in 33 countries, we go the extra mile for our clients and accelerate their digital transformation journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivalled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 46,000 LTItes enable our clients to improve the effectiveness of their business and technology operations and deliver value to their customers, employees, and shareholders.

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SOFTWARE

Apiiro Launches Partner Program to Fix Cloud-Native App Risks Faster

Apiiro | June 06, 2022

The Apiiro Partner Program, which provides complete support for technical, consulting, and reseller partners across the Cloud-Native Application Protection Platform (CNAPP) ecosystem, was introduced today by Apiiro, the pioneer in Cloud-Native Application Security. Because vulnerabilities are scattered across the design, code, open-source packages, infrastructure-as-code, containers, Git and CI/CD servers, and cloud infrastructure in the era of cloud-native application development, the remediation lifecycle is becoming longer and more complex. Furthermore, due to the absence of context, the overall efficacy has been harmed by noisy warnings and false positives as a result of the change in responsibilities and the usage of a plethora of tools, each addressing only a small fraction of cloud-native application threats. Therefore, the visibility of the Software Bill Of Materials (SBOM) and context from cloud infrastructure to code are critical for the repair process across the software supply chain. Partners from the cloud-native application security, DevOps, cloud infrastructure security, and other cybersecurity industries, such as Alacrinet, Defy Security, Google Cloud, HashiCorp, NetSPI, NXGN, parabellyx, and Trace3, have joined the Apiiro Partner Program to help customers remediate cloud-native application risks across the software supply chain. The Apiiro Risk Graph technology and supporting tools will help partners accelerate customer adoption and success with a contextual shift left risk remediation technology. "Our customers aren't just modernizing their cloud-native application security - they're reinventing the way they develop, build, and deploy cloud-native applications across the software supply chain. By uniting in the Apiiro Partner Program, Apiiro and our partners can collectively ensure cloud-native applications are developed and delivered in a secure manner." John Leon, VP of Business Development at Apiiro Training tools and sales resources, as well as access to technical evaluation demos and documentation to enable go-to-market and collaborative marketing opportunities, are all included in the program. Additionally, partners may boost their value to customers by delivering contextual shift left risk remediation before releasing to the cloud by joining the Apiiro Partner Program.

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SOFTWARE

Apiiro Launches Partner Program to Help Customers Fix Cloud-Native Application Risks Faster

Apiiro | June 03, 2022

Apiiro, the leader in Cloud-Native Application Security, today announced the Apiiro Partner Program, which provides comprehensive support for technology, consulting, and reseller partners across the Cloud-Native Application Protection Platform (CNAPP) ecosystem. In the era of cloud-native application development, the remediation lifecycle is getting longer and more complex because risks are distributed across the design, code, open source packages, infra-as-code, containers, Git and CI/CD servers, and cloud infrastructure. In addition, the shift in responsibilities and the use of a multitude of tools, each addressing only a small subset of cloud-native application risks has reduced the overall efficacy with noisy alerts and false-positives due to the lack of context. Context from cloud infrastructure to code and Software Bill Of Materials visibility (SBOM) are instrumental for the remediation process across the software supply chain. Partners like Alacrinet, Defy Security, Google Cloud, HashiCorp, NetSPI, NXGN, Parabellyx, and Trace3 from the cloud-native application security, DevOps, cloud infrastructure security, and other cybersecurity industries are joining the Apiiro Partner Program to work together to help customers remediate cloud-native application risks across the software supply chain. Partners will benefit from the Apiiro Risk Graph technology and enabling resources to speed customer adoption and success with a contextual shift left risk remediation technology. "Our customers aren't just modernizing their cloud-native application security - they're reinventing the way they develop, build, and deploy cloud-native applications across the software supply chain. By uniting in the Apiiro Partner Program, Apiiro and our partners can collectively ensure cloud-native applications are developed and delivered in a secure manner." John Leon, VP of Business Development at Apiiro Program benefits include training materials and sales resources, access to technical evaluation demos and documentation to enable go to market and joint promotion opportunities. By enrolling in the Apiiro Partner Program, partners can increase their value to customers by delivering contextual shift left risk remediation before releasing to the cloud. About Apiiro Apiiro helps security and development teams proactively fix risk across the software supply chain, before releasing to the cloud.

Read More

SOFTWARE

LTI Strengthens Strategic Collaboration with Microsoft

LTI | August 03, 2022

Larsen & Toubro Infotech , a global technology consulting and digital solutions company, has announced the expansion of its collaboration with Microsoft to focus on developing high-value cloud solutions for enterprises. As a part of this multi-year collaboration, LTI has launched a dedicated Microsoft business unit that develops and offers end-to-end digital transformation solutions. Through this association, LTI will also train 12,000 professionals from its existing workforce on various Microsoft technologies by 2024. The main objective of this effort is to enable skill development of LTI employees that are a part of the Microsoft unit and enhance their competencies across technologies like cloud, data, IoT and security. “LTI has a long-standing relationship with Microsoft as a strategic partner, service provider, and customer. Our reaffirmed partnership with Microsoft will enable us to innovate and offer 170+ distinct services to our joint customers. Additionally, we will also focus on the training and upskilling of our talent pool that is a part of the dedicated Microsoft business unit, to empower them to meet changing business and market requirements.” Nachiket Deshpande, Chief Operating Officer, LTI Siddharth Bohra, Chief Business Officer & Head of Cloud Business Unit, LTI, said, “Enterprises across the globe are increasingly embracing cloud, and LTI has made impressive strides in developing a multi-dimensional capability on Azure to meet this demand. As part of this collaboration, LTI and Microsoft will jointly innovate, develop, and sell solutions to assist enterprises in acceleration of their digital transformation journeys.” Julie Sanford, Vice President, Partner GTM, Programs & Experiences, Microsoft, said, “Through their new Microsoft Business Unit, LTI will be able to help customers implement cloud strategies and drive business transformation across industries and geographies. We look forward to working with LTI as they build new capabilities and deliver innovative solutions on the Microsoft Cloud.” Through this association, LTI will attain the Solution Partner designation across all the Microsoft Solution Areas. LTI also has the following advanced specializations on Azure: - SAP on Azure: Validating the capability of implementing SAP solutions on Azure. - Analytics on Azure: Demonstrating the expertise in delivering analytics solutions in Microsoft Azure. - Windows Server and SQL Server: Expertise in migrating production workloads to Microsoft Azure. - Modernization of Web Applications: Validating expertise in migrating and deploying production web application workloads, applying DevOps, and managing app services in Microsoft Azure. - Kubernetes on Azure: validating capabilities in deploying and managing production workloads in the cloud using containers and managing hosted Kubernetes environments in Azure. - Low Code Application Development: Expertise in building solutions using Power Apps. - The Data Warehouse Migration to Microsoft Azure: Validating expertise in analyzing existing workloads and performing ETL operations to migrate data to cloud-based data warehouses. - Cloud Security: Validates a means for your company to showcase capabilities to implement comprehensive security solutions across Azure, hybrid, and multi-cloud environments. - Threat Protection: provides a means for your company to showcase proven, verifiable expertise in deploying Microsoft Threat Protection or Microsoft Cloud App Security workloads. - AI and Machine Learning in Microsoft Azure: Validates capabilities on enabling customer adoption of Al and implementing Azure solutions for Al-powered apps. LTI is an Azure Expert MSP Partner which demonstrates deep knowledge, extensive experience, and proven success in implementing specialized workloads such as Migration and Modernization, SAP on Azure, Data Analytics, Internet of things (IoT), Security, and Microsoft Dynamics 365. About LTI LTI is a global technology consulting and digital solutions Company helping more than 495 clients succeed in a converging world. With operations in 33 countries, we go the extra mile for our clients and accelerate their digital transformation journeys. Founded in 1997 as a subsidiary of Larsen & Toubro Limited, our unique heritage gives us unrivalled real-world expertise to solve the most complex challenges of enterprises across all industries. Each day, our team of more than 46,000 LTItes enable our clients to improve the effectiveness of their business and technology operations and deliver value to their customers, employees, and shareholders.

Read More

SOFTWARE

Apiiro Launches Partner Program to Fix Cloud-Native App Risks Faster

Apiiro | June 06, 2022

The Apiiro Partner Program, which provides complete support for technical, consulting, and reseller partners across the Cloud-Native Application Protection Platform (CNAPP) ecosystem, was introduced today by Apiiro, the pioneer in Cloud-Native Application Security. Because vulnerabilities are scattered across the design, code, open-source packages, infrastructure-as-code, containers, Git and CI/CD servers, and cloud infrastructure in the era of cloud-native application development, the remediation lifecycle is becoming longer and more complex. Furthermore, due to the absence of context, the overall efficacy has been harmed by noisy warnings and false positives as a result of the change in responsibilities and the usage of a plethora of tools, each addressing only a small fraction of cloud-native application threats. Therefore, the visibility of the Software Bill Of Materials (SBOM) and context from cloud infrastructure to code are critical for the repair process across the software supply chain. Partners from the cloud-native application security, DevOps, cloud infrastructure security, and other cybersecurity industries, such as Alacrinet, Defy Security, Google Cloud, HashiCorp, NetSPI, NXGN, parabellyx, and Trace3, have joined the Apiiro Partner Program to help customers remediate cloud-native application risks across the software supply chain. The Apiiro Risk Graph technology and supporting tools will help partners accelerate customer adoption and success with a contextual shift left risk remediation technology. "Our customers aren't just modernizing their cloud-native application security - they're reinventing the way they develop, build, and deploy cloud-native applications across the software supply chain. By uniting in the Apiiro Partner Program, Apiiro and our partners can collectively ensure cloud-native applications are developed and delivered in a secure manner." John Leon, VP of Business Development at Apiiro Training tools and sales resources, as well as access to technical evaluation demos and documentation to enable go-to-market and collaborative marketing opportunities, are all included in the program. Additionally, partners may boost their value to customers by delivering contextual shift left risk remediation before releasing to the cloud by joining the Apiiro Partner Program.

Read More

SOFTWARE

Apiiro Launches Partner Program to Help Customers Fix Cloud-Native Application Risks Faster

Apiiro | June 03, 2022

Apiiro, the leader in Cloud-Native Application Security, today announced the Apiiro Partner Program, which provides comprehensive support for technology, consulting, and reseller partners across the Cloud-Native Application Protection Platform (CNAPP) ecosystem. In the era of cloud-native application development, the remediation lifecycle is getting longer and more complex because risks are distributed across the design, code, open source packages, infra-as-code, containers, Git and CI/CD servers, and cloud infrastructure. In addition, the shift in responsibilities and the use of a multitude of tools, each addressing only a small subset of cloud-native application risks has reduced the overall efficacy with noisy alerts and false-positives due to the lack of context. Context from cloud infrastructure to code and Software Bill Of Materials visibility (SBOM) are instrumental for the remediation process across the software supply chain. Partners like Alacrinet, Defy Security, Google Cloud, HashiCorp, NetSPI, NXGN, Parabellyx, and Trace3 from the cloud-native application security, DevOps, cloud infrastructure security, and other cybersecurity industries are joining the Apiiro Partner Program to work together to help customers remediate cloud-native application risks across the software supply chain. Partners will benefit from the Apiiro Risk Graph technology and enabling resources to speed customer adoption and success with a contextual shift left risk remediation technology. "Our customers aren't just modernizing their cloud-native application security - they're reinventing the way they develop, build, and deploy cloud-native applications across the software supply chain. By uniting in the Apiiro Partner Program, Apiiro and our partners can collectively ensure cloud-native applications are developed and delivered in a secure manner." John Leon, VP of Business Development at Apiiro Program benefits include training materials and sales resources, access to technical evaluation demos and documentation to enable go to market and joint promotion opportunities. By enrolling in the Apiiro Partner Program, partners can increase their value to customers by delivering contextual shift left risk remediation before releasing to the cloud. About Apiiro Apiiro helps security and development teams proactively fix risk across the software supply chain, before releasing to the cloud.

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