SlashNext Introduces Industry’s First Real-Time Phishing Threat Intelligence Service

March 13, 2019 | 176 views

Today marks an important time for SlashNext, IT security teams, and the security industry. It also (fortunately) marks a more difficult time for threat actors using new social engineering and browser-focused phishing tactics to deceive employees. Since SlashNext started several years ago, its cloud-based SEER™ threat detection engine has proven to be uniquely effective at live phishing site detection.

Spotlight

Licencias OnLine

Licencias OnLine is a value added distributor with presence throughout Latin America, focused on the sale of Software Solutions, Cloud Computing, Education and Services. It leads the market in its category, delivering high quality services and state-of-the-art technology to a network of more than 4,500 IT providers specialized in Security, Productivity, Virtualization and Cloud.

OTHER ARTICLES
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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SOFTWARE

Language Models: Emerging Types and Why They Matter

Article | July 14, 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

Licencias OnLine

Licencias OnLine is a value added distributor with presence throughout Latin America, focused on the sale of Software Solutions, Cloud Computing, Education and Services. It leads the market in its category, delivering high quality services and state-of-the-art technology to a network of more than 4,500 IT providers specialized in Security, Productivity, Virtualization and Cloud.

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AI TECH,GENERAL AI

Eidosmedia partners with Sophi.io on AI-powered print automation

Eidosmedia | September 29, 2022

Eidosmedia, a developer of digital publishing solutions for leading news-media groups worldwide, has partnered with Sophi.io, an AI-powered automation, optimization and prediction platform developed by The Globe and Mail, to bring seamless print laydown automation to Eidosmedia customers. The solution brings the entire print page layout process down from hours to just minutes, without the use of templates. Publishers can dramatically improve productivity and cut costs, all within the Méthode platform they currently use. “The complexity of print page layouts has until now defied the easy automation that speeds the publishing of online formats. “For our customers, especially large regional groups and national titles, print editions continue to be a major source of revenue. There’s intense interest in ways to cut production times and costs in this important publishing channel.” Marco Cetola, Eidosmedia Sales and Partner Program Director “The fit between our print edition building routines and Sophi’s AI engine turned out to be very good,” said Marco. “We were quickly able to start training the pagination model on existing layouts, and we had the first results in a matter of days”. “The productivity boost obtained is exceptional,” said Marco, “especially for daily publications where the page-design operation is usually running against the clock.” In fact, a typical 32-page print edition can be paginated in minutes compared to several hours for a manual operation. Sophi-powered print automation is different than other print production solutions in that it is completely template-free. It uses smart AI to ensure that a publisher’s printed pages look and feel as though they were produced by experienced editors and page designers. Each page is designed from scratch following each individual brand’s design vocabulary. The final output is a print-ready PDF or InDesign file that’s ready in minutes. Among those who stand to benefit from the new technology are page designers themselves. Page designers have been under pressure for some time to increase their productivity as publishers try to cut costs. With fewer hands to lay out growing numbers of pages, the designer’s job has in many cases become a stressful race against time. The automation engine will take routine tasks off their hands so they can devote more time to the front pages, features and special layouts where their creativity can really add value. “Page automation is the greatest innovation in the publishing industry since the personal computer replaced typewriters,” said Marco. Gabe Gonda, VP at Sophi.io, commented: “Sophi is delighted to be entering a partnership with Eidosmedia to deliver our print automation technology through the Méthode platform. Eidosmedia is a first-class CMS vendor with deep knowledge of its clients’ evolving needs. This partnership will help deliver a unique and high-value solution to some of the best newspaper publishers in the world.” About Eidosmedia Eidosmedia is a global leader in content management and digital publishing. Eidosmedia solutions are used by news-media organizations throughout the world to create and deliver portfolios of news products ranging from advanced digital formats to traditional newspapers and magazines. About Sophi Inc. Sophi.io was developed by The Globe and Mail to help content publishers make important strategic and tactical decisions. It is a suite of AI and ML-powered automation, optimization and prediction solutions that include Sophi Site Automation, Sophi for Paywalls and Sophi for First Party Data. Sophi also powers one-click automated laydown of template-free print publishing. Sophi is designed to improve the metrics that matter most to your business.

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AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

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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

AI TECH,GENERAL AI

Eidosmedia partners with Sophi.io on AI-powered print automation

Eidosmedia | September 29, 2022

Eidosmedia, a developer of digital publishing solutions for leading news-media groups worldwide, has partnered with Sophi.io, an AI-powered automation, optimization and prediction platform developed by The Globe and Mail, to bring seamless print laydown automation to Eidosmedia customers. The solution brings the entire print page layout process down from hours to just minutes, without the use of templates. Publishers can dramatically improve productivity and cut costs, all within the Méthode platform they currently use. “The complexity of print page layouts has until now defied the easy automation that speeds the publishing of online formats. “For our customers, especially large regional groups and national titles, print editions continue to be a major source of revenue. There’s intense interest in ways to cut production times and costs in this important publishing channel.” Marco Cetola, Eidosmedia Sales and Partner Program Director “The fit between our print edition building routines and Sophi’s AI engine turned out to be very good,” said Marco. “We were quickly able to start training the pagination model on existing layouts, and we had the first results in a matter of days”. “The productivity boost obtained is exceptional,” said Marco, “especially for daily publications where the page-design operation is usually running against the clock.” In fact, a typical 32-page print edition can be paginated in minutes compared to several hours for a manual operation. Sophi-powered print automation is different than other print production solutions in that it is completely template-free. It uses smart AI to ensure that a publisher’s printed pages look and feel as though they were produced by experienced editors and page designers. Each page is designed from scratch following each individual brand’s design vocabulary. The final output is a print-ready PDF or InDesign file that’s ready in minutes. Among those who stand to benefit from the new technology are page designers themselves. Page designers have been under pressure for some time to increase their productivity as publishers try to cut costs. With fewer hands to lay out growing numbers of pages, the designer’s job has in many cases become a stressful race against time. The automation engine will take routine tasks off their hands so they can devote more time to the front pages, features and special layouts where their creativity can really add value. “Page automation is the greatest innovation in the publishing industry since the personal computer replaced typewriters,” said Marco. Gabe Gonda, VP at Sophi.io, commented: “Sophi is delighted to be entering a partnership with Eidosmedia to deliver our print automation technology through the Méthode platform. Eidosmedia is a first-class CMS vendor with deep knowledge of its clients’ evolving needs. This partnership will help deliver a unique and high-value solution to some of the best newspaper publishers in the world.” About Eidosmedia Eidosmedia is a global leader in content management and digital publishing. Eidosmedia solutions are used by news-media organizations throughout the world to create and deliver portfolios of news products ranging from advanced digital formats to traditional newspapers and magazines. About Sophi Inc. Sophi.io was developed by The Globe and Mail to help content publishers make important strategic and tactical decisions. It is a suite of AI and ML-powered automation, optimization and prediction solutions that include Sophi Site Automation, Sophi for Paywalls and Sophi for First Party Data. Sophi also powers one-click automated laydown of template-free print publishing. Sophi is designed to improve the metrics that matter most to your business.

Read More

AI TECH,GENERAL AI

DataRobot Announces Launch of Dedicated Managed AI Cloud

DataRobot | September 29, 2022

Today, DataRobot announced the public availability of DataRobot Dedicated Managed AI Cloud, a dedicated hosted version of AI Cloud managed by DataRobot experts. Dedicated Managed AI Cloud provides the latest DataRobot capabilities to support critical AI and machine learning projects with the advantage of public cloud services, reducing cost and time-to-value in deploying, upgrading and managing the AI infrastructure. Today’s organizations rely on enterprise AI/ML platforms to deliver critical business initiatives. Organizations may prefer to outsource software platform deployment, configuration as well as ongoing management and maintenance to accommodate staffing constraints. “According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units. This represents a dramatic rise from earlier research favoring departmental deployments. “It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.” Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud. The newly announced offering saves time and resources by freeing team members from managing or maintaining platform updates, while providing the security, isolation and data residency requirements for each customer. Dedicated Managed AI Cloud is deployed for each customer in a dedicated and separate VPC and operated, monitored, and maintained by DataRobot experts. “We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” says Venky Veeraraghavan, SVP, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud's evergreen deployment and new features.” About DataRobot DataRobot AI Cloud is the next generation of AI. DataRobot’s AI Cloud vision is to bring together all data types, all users, and all environments to deliver critical business insights for every organization. DataRobot is trusted by global customers across industries and verticals, including a third of the Fortune 50.

Read More

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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