Building Autonomous Systems with Microsoft AI

N/A | May 13, 2019 | 40 views

Toyota Material Handling and Microsoft are using AirSim—an open source simulation platform originally developed to teach drones or robots to learn in high fidelity simulated environments—to train a forklift on tasks like picking up a pallet. This video illustrates the vision for a future warehouse with pre-trained, intelligent forklifts assisting people in everyday activities.

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Computer training refers to resources, companies and services dedicated to helping educate users on computer-related topics. Computer training professionals instruct and help users acquire proficiency in a wide array of areas, including software, hardware, database management, programming, networking and more...

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SOFTWARE

The Revolutionary Power of 5G in Automation and Industry Digitization

Article | July 13, 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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AI TECH

AI's Impact on Improving Customer Experience

Article | July 20, 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 | August 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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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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Computer training refers to resources, companies and services dedicated to helping educate users on computer-related topics. Computer training professionals instruct and help users acquire proficiency in a wide array of areas, including software, hardware, database management, programming, networking and more...

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SOFTWARE,FUTURE TECH

SAS Viya now available in the Microsoft Azure Marketplace

SAS | September 28, 2022

SAS Explore The SAS® Viya® analytics platform is now available in the Microsoft Azure Marketplace with the click of a button on a pay-as-you-go basis. Full-featured SAS Viya on Microsoft Azure equips customers worldwide with access to essential data exploration, machine learning and model deployment analytics. It's available in many translated languages and includes an extensive in-app learning center to support immediate onboarding and long-term success. Market research from IDC forecasts that analytics software deployment on public clouds is growing and will match on-premises deployments by 2024. "In this strategic move, SAS makes access to its analytics easier," said Dan Vesset, Group Vice President, Analytics and Information Management at IDC. "SAS Viya is one of the most comprehensive analytics platforms on the market today. Presenting users with the complete analytics life cycle – from data to a deployed and managed model – available for immediate use and deployment via the Microsoft Azure Marketplace, is key. And offering it with built-in support and training is expected to bring significant productivity benefits to analytics, IT and business groups around the world." Comprehensive access, broad language support SAS Viya is designed to broaden analytics access across an organization, with machine learning capabilities that allow all users to increase productivity and collaborate seamlessly. With the availability of SAS Viya on Microsoft Azure, users will have access to the full Viya package that includes SAS Visual Analytics, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, and SAS Model Manager. The platform offers both programming and low- or no-code options in a single visual interface to enable users of all skill levels to take advantage of best-in-class AI. With support for both SAS and open source languages including Python and R, data scientists can write code using their languages and techniques of choice. It's a new day for SAS SAS CEO Jim Goodnight said accessing Viya in the Microsoft Azure Marketplace is a fast and easy way to tap into the power of SAS. "We're excited to offer customers a new way to gain access to SAS Viya while continuing to provide all the powerful capabilities our users already know and love," Goodnight said. "We've spent decades building the most comprehensive suite of analytics on the market, with next-generation AI that addresses the complete analytics life cycle. We design and test our software to be the fastest and most productive. And now we're making it all available with a few clicks in the Microsoft Azure Marketplace." Ongoing commitment to customer success "Our commitment to cloud and AI innovation is critical to our customers' success – whether they are building simple reports or developing advanced AI solutions to answer critical business questions," said Bryan Harris, Executive Vice President and Chief Technology Officer at SAS. "Making SAS Viya available to entire analytics organizations is our goal, regardless of skill level, team or preferred programming language. We want Viya to be the foundation of our customers' innovation stories." SAS Viya users include business analysts, data scientists and information consumers from line workers to executives. They are located all around the world, across all industries, and experience benefits from fellow SAS users and experts within SAS Communities, which will be available directly through SAS Viya on Microsoft Azure. Organizations embracing the transformative power of Viya include: SAS Hackathon 2022 winner Team JAKSTAT used SAS Viya on Microsoft Azure to allot COVID government aid to regional small businesses. The Jakarta, Indonesia team used the AI, machine learning and data modeling capabilities of Viya to prioritize strategic investment, giving the most relief to the micro, small and medium-sized enterprises with the best economic resilience for the region and the country. bioMérieux, a world leader in the field in vitro diagnostics and its software-as-a-service offering, CLARION™, powered by SAS, connects the myriad of health care data inside US hospitals and reference laboratories to provide critical insights to battle public health threats. This innovative solution tracks antimicrobial-resistant bacteria and quickly produces data dashboards on SAS Viya to empower more informed clinical decision-making. By modernizing with Viya, S-Bank – Finland's top retail bank – has access to improved visual tools and faster performance from running its analytics closer to its data. "The solution with SAS and Azure has greatly improved how we are working with analytics, particularly the visual capabilities of the tool, which have helped strengthen the alignment between the analytics team and the business development team," said Iikka Kuosa, Senior Vice President of Products and IT at S-Bank. Techniker Krankenkasse (TK), the largest public health insurance company in Germany, uses Viya to find correlations between customer health events and gain insights. According to Dr. Thilo Eichenberg, TK Data Scientist, "Our pattern recognition application clearly demonstrates the flexibility of SAS Viya to adapt to new requirements. This architecture is what makes it future-proof from our point of view." Building on the value of the SAS and Microsoft partnership Launching SAS Viya as a "Get It Now" offering in the Microsoft Azure Marketplace represents a continued focus on expanding the SAS/Microsoft strategic partnership. SAS first announced its partnership with Microsoft in 2020, and recently earned Microsoft's Global Independent Software Vendor (ISV) 2022 Partner of the Year Award. This achievement recognizes partners for demonstrating innovation and implementation excellence. The benefits of the partnership to organizations globally are clear. For the National Bank of Greece (NBG), the flexibility of the SAS platform combined with Microsoft Azure's cloud elasticity has helped transform bank operations. "With the SAS Viya implementation in the cloud, we have significantly improved development of new analytics infrastructure by notably decreasing the costs and the complexity of processes, and by acquiring agility, speed and efficiency," said Pantelis Maraveas, Assistant General Manager of Retail Segments, Bank Analytics and Liability Products at NBG. About SAS Viya SAS Viya is an AI, analytic and data management platform that runs on a modern, scalable architecture. It is cloud-first software, designed to be delivered and updated continuously and bring the power of analytics to everyone, everywhere. SAS Viya integrates the art of decision making with the science of AI and advanced analytics, helping organizations to make better decisions, faster. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

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SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

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FUTURE TECH

Next Pathway to Partner with Microsoft to migrate customers to Microsoft Azure

Next Pathway | August 08, 2022

Next Pathway Inc., the Automated Cloud Migration company, today announced a collaboration with Microsoft to accelerate the migration from legacy data warehouses and data lakes to Microsoft Azure. Next Pathway's SHIFT™ Migration Suite is being offered as part of the Service to plan and execute Cloud Migrations to Azure. The suite includes SHIFT™ Analyzer which provides a comprehensive review of source legacy application workloads to review the code types and objects which are present, and SHIFT™ Translator which accelerates the translation, testing and migration of complex workloads, such as, SQL, Stored Procedures, ETL pipelines/workflows, and various other code types. Moreover, Next Pathway's technology can also move workloads from other cloud platforms and cloud data warehouses to Azure with ease and efficiency. An important feature of Next Pathway's technology is the ability to translate legacy ETL pipelines to run natively in Azure Data Factory (ADF). ADF is a cloud-based data integration service that allows users to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. This collaboration creates an accelerated path for customers to Azure. "At Next Pathway we are continuously innovating to make it easier, and faster for our customers to migrate to the cloud. We are extremely excited to be working with Microsoft". Chetan Mathur, Chief Executive Officer at Next Pathway "We are pleased to partner with Next Pathway and provide our customers with a faster and more efficient migration path to Microsoft Azure," said Zia Mansoor, Worldwide Vice President Data and AI. About Next Pathway Next Pathway is the Automated Cloud Migration company. Powered by Crawler360™, the Migration Planner and the SHIFT™ Migration Suite, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud.

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SOFTWARE,FUTURE TECH

SAS Viya now available in the Microsoft Azure Marketplace

SAS | September 28, 2022

SAS Explore The SAS® Viya® analytics platform is now available in the Microsoft Azure Marketplace with the click of a button on a pay-as-you-go basis. Full-featured SAS Viya on Microsoft Azure equips customers worldwide with access to essential data exploration, machine learning and model deployment analytics. It's available in many translated languages and includes an extensive in-app learning center to support immediate onboarding and long-term success. Market research from IDC forecasts that analytics software deployment on public clouds is growing and will match on-premises deployments by 2024. "In this strategic move, SAS makes access to its analytics easier," said Dan Vesset, Group Vice President, Analytics and Information Management at IDC. "SAS Viya is one of the most comprehensive analytics platforms on the market today. Presenting users with the complete analytics life cycle – from data to a deployed and managed model – available for immediate use and deployment via the Microsoft Azure Marketplace, is key. And offering it with built-in support and training is expected to bring significant productivity benefits to analytics, IT and business groups around the world." Comprehensive access, broad language support SAS Viya is designed to broaden analytics access across an organization, with machine learning capabilities that allow all users to increase productivity and collaborate seamlessly. With the availability of SAS Viya on Microsoft Azure, users will have access to the full Viya package that includes SAS Visual Analytics, SAS Visual Statistics, SAS Visual Data Mining and Machine Learning, and SAS Model Manager. The platform offers both programming and low- or no-code options in a single visual interface to enable users of all skill levels to take advantage of best-in-class AI. With support for both SAS and open source languages including Python and R, data scientists can write code using their languages and techniques of choice. It's a new day for SAS SAS CEO Jim Goodnight said accessing Viya in the Microsoft Azure Marketplace is a fast and easy way to tap into the power of SAS. "We're excited to offer customers a new way to gain access to SAS Viya while continuing to provide all the powerful capabilities our users already know and love," Goodnight said. "We've spent decades building the most comprehensive suite of analytics on the market, with next-generation AI that addresses the complete analytics life cycle. We design and test our software to be the fastest and most productive. And now we're making it all available with a few clicks in the Microsoft Azure Marketplace." Ongoing commitment to customer success "Our commitment to cloud and AI innovation is critical to our customers' success – whether they are building simple reports or developing advanced AI solutions to answer critical business questions," said Bryan Harris, Executive Vice President and Chief Technology Officer at SAS. "Making SAS Viya available to entire analytics organizations is our goal, regardless of skill level, team or preferred programming language. We want Viya to be the foundation of our customers' innovation stories." SAS Viya users include business analysts, data scientists and information consumers from line workers to executives. They are located all around the world, across all industries, and experience benefits from fellow SAS users and experts within SAS Communities, which will be available directly through SAS Viya on Microsoft Azure. Organizations embracing the transformative power of Viya include: SAS Hackathon 2022 winner Team JAKSTAT used SAS Viya on Microsoft Azure to allot COVID government aid to regional small businesses. The Jakarta, Indonesia team used the AI, machine learning and data modeling capabilities of Viya to prioritize strategic investment, giving the most relief to the micro, small and medium-sized enterprises with the best economic resilience for the region and the country. bioMérieux, a world leader in the field in vitro diagnostics and its software-as-a-service offering, CLARION™, powered by SAS, connects the myriad of health care data inside US hospitals and reference laboratories to provide critical insights to battle public health threats. This innovative solution tracks antimicrobial-resistant bacteria and quickly produces data dashboards on SAS Viya to empower more informed clinical decision-making. By modernizing with Viya, S-Bank – Finland's top retail bank – has access to improved visual tools and faster performance from running its analytics closer to its data. "The solution with SAS and Azure has greatly improved how we are working with analytics, particularly the visual capabilities of the tool, which have helped strengthen the alignment between the analytics team and the business development team," said Iikka Kuosa, Senior Vice President of Products and IT at S-Bank. Techniker Krankenkasse (TK), the largest public health insurance company in Germany, uses Viya to find correlations between customer health events and gain insights. According to Dr. Thilo Eichenberg, TK Data Scientist, "Our pattern recognition application clearly demonstrates the flexibility of SAS Viya to adapt to new requirements. This architecture is what makes it future-proof from our point of view." Building on the value of the SAS and Microsoft partnership Launching SAS Viya as a "Get It Now" offering in the Microsoft Azure Marketplace represents a continued focus on expanding the SAS/Microsoft strategic partnership. SAS first announced its partnership with Microsoft in 2020, and recently earned Microsoft's Global Independent Software Vendor (ISV) 2022 Partner of the Year Award. This achievement recognizes partners for demonstrating innovation and implementation excellence. The benefits of the partnership to organizations globally are clear. For the National Bank of Greece (NBG), the flexibility of the SAS platform combined with Microsoft Azure's cloud elasticity has helped transform bank operations. "With the SAS Viya implementation in the cloud, we have significantly improved development of new analytics infrastructure by notably decreasing the costs and the complexity of processes, and by acquiring agility, speed and efficiency," said Pantelis Maraveas, Assistant General Manager of Retail Segments, Bank Analytics and Liability Products at NBG. About SAS Viya SAS Viya is an AI, analytic and data management platform that runs on a modern, scalable architecture. It is cloud-first software, designed to be delivered and updated continuously and bring the power of analytics to everyone, everywhere. SAS Viya integrates the art of decision making with the science of AI and advanced analytics, helping organizations to make better decisions, faster. About SAS SAS is the leader in analytics. Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS gives you THE POWER TO KNOW®.

Read More

SOFTWARE,FUTURE TECH,COMPUTER VISION

Datawiza Integration with Microsoft 365 Brings MFA to Oracle Business Applications

Datawiza | September 19, 2022

Datawiza, the industry's leading cloud-native access proxy for securing applications, today announced a new integration with Microsoft 365 that allows businesses to deploy multifactor authentication (MFA) for mission-critical Oracle business applications. By creating a no-code, secure bridge between Oracle applications and Microsoft 365, the Datawiza cloud-native proxy enables Microsoft 365 customers to quickly extend the power of Microsoft's modern Identity and Access (IAM) solution, Azure Active Directory , to Peoplesoft, Oracle E-Business Suite, JD Edwards (JDE) and Siebel – in minutes. Datawiza: Modern Access Management for Hard-to-Secure Applications “Thousands of enterprises today run on business applications that don’t always support modern security protocols,” said Dr. Canming Jiang, Co-Founder & CEO of Datawiza. “Corporate boards are demanding immediate action to eliminate vulnerabilities, but replacing mission-critical applications like Peoplesoft, E-Business Suite, JDE and Siebel would take far too long and cost too much. Our cloud-native proxy helps organizations extend their investment in these solutions by enabling modern capabilities like MFA and single sign-on in less than five minutes, helping them quickly respond to new security requirements, such as the need to meet cyber insurance requirements or establish Zero Trust Application Access.” “Microsoft is passionate about helping businesses protect their identities, applications, and data. “Datawiza is a partner in our Secure Hybrid Access program. Their fast, secure solution helps our customers take advantage of the multifactor authentication capabilities built into Azure AD (now part of Microsoft Entra) to protect their portfolio of critical Oracle business solutions. This way, they can get even more value from their investment in Microsoft 365 and Microsoft Entra, our family of modern identity and access solutions.” Sue Bohn, Vice President of the Identity and Network Access Customer and Partner Experience Team at Microsoft Multifactor authentication adds an additional layer to application access, requiring users to prove their identity with more than just a username and password. When a user signs into an application, the system requires a second authentication, such as scanning a fingerprint or entering a code received by a smartphone. MFA is built into Microsoft 365, which includes Azure AD, but it relies on modern security protocols, such as SAML or OIDC, which Oracle and other legacy applications don’t support. The lightweight, cloud-delivered Datawiza platform relies on super-lightweight, cloud-native and container-based proxies located near the applications they protect. The Datawiza cloud-native proxy is deployed at the front end of the applications to create a bridge between the applications and Microsoft 365. In just a few minutes, Datawiza can be deployed and configured and begin requiring MFA, as well as single sign-on (SSO) and conditional access, to log into any application – from Oracle applications to homegrown applications to open source tools. The benefits of Datawiza include: Added security to extend the life of mission-critical investments – Datawiza works in all cloud, IAM and network infrastructures No-code, so quick to deploy – no security expertise required, no new vulnerabilities are inadvertently introduced Fine-grained access controls across homegrown, open source and legacy applications, for all environments: on-prem, cloud, multi-cloud, and hybrid Easily integrated with cutting-edge cloud-native technologies, such as containerization and Kubernetes Protection for individual applications even if the network is breached About Datawiza Datawiza, the industry's leading cloud-native access proxy for securing applications and APIs, provides consolidated and continuous risk and trust assessment. Unlike other access management products (e.g., legacy web access managers) that are complex and siloed in hybrid environments, Datawiza offers large enterprises and SMBs a comprehensive, centralized and easy-to-deploy solution that allows every company to simplify access management, save time and increase security. Datawiza was founded in 2018 by security expert Dr. Canming Jiang, a veteran of Shape Security, now part of F5, and cloud expert Cunhao (Alex) Gao, a veteran of Google and Amazon.

Read More

FUTURE TECH

Next Pathway to Partner with Microsoft to migrate customers to Microsoft Azure

Next Pathway | August 08, 2022

Next Pathway Inc., the Automated Cloud Migration company, today announced a collaboration with Microsoft to accelerate the migration from legacy data warehouses and data lakes to Microsoft Azure. Next Pathway's SHIFT™ Migration Suite is being offered as part of the Service to plan and execute Cloud Migrations to Azure. The suite includes SHIFT™ Analyzer which provides a comprehensive review of source legacy application workloads to review the code types and objects which are present, and SHIFT™ Translator which accelerates the translation, testing and migration of complex workloads, such as, SQL, Stored Procedures, ETL pipelines/workflows, and various other code types. Moreover, Next Pathway's technology can also move workloads from other cloud platforms and cloud data warehouses to Azure with ease and efficiency. An important feature of Next Pathway's technology is the ability to translate legacy ETL pipelines to run natively in Azure Data Factory (ADF). ADF is a cloud-based data integration service that allows users to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. This collaboration creates an accelerated path for customers to Azure. "At Next Pathway we are continuously innovating to make it easier, and faster for our customers to migrate to the cloud. We are extremely excited to be working with Microsoft". Chetan Mathur, Chief Executive Officer at Next Pathway "We are pleased to partner with Next Pathway and provide our customers with a faster and more efficient migration path to Microsoft Azure," said Zia Mansoor, Worldwide Vice President Data and AI. About Next Pathway Next Pathway is the Automated Cloud Migration company. Powered by Crawler360™, the Migration Planner and the SHIFT™ Migration Suite, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud.

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