Cloudera Data Platform - Machine Learning

September 24, 2019 | 41 views

Cloudera Machine Learning is a cloud service for creating self-service machine learning workspaces and the underlying compute clusters for teams of data scientists. Enterprise data science teams need access to business data and the tools and computing resources required for end-to-end machine learning workflows, while IT and the business need to maintain data governance and control infrastructure costs. Cloudera Machine Learning brings the agility and economics of cloud to self-service machine learning workflows with governed business data and tools that data science teams need, anywhere.

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Saviynt, Inc.

Saviynt offers complete access governance and intelligence solutions for critical Data, Workloads, DevOps Resources, and Access to critical applications on Cloud and Enterprise. Saviynt combines granular application access, risk and usage analytics, real-time prevention with out-of-box risk signatures and SOD rules to address security & compliance needs for the enterprise.

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8 Epic App Innovations that Help Your Business Stand Out

Article | August 8, 2022

Increased use of the internet and smartphones demands better mobile applications be developed. Innovation is the key driving force that can make or break the market regarding mobile app development. A fantastic team of mobile app developers and smart innovation employing the latest technology produce a huge hit app. Let us learn more about how the mobile app development market grows. The Market for Mobile Application Development The mobile application development market is projected to grow at a 13.4% CAGR from 2023 to 2030, with a value of $187.58 billion recorded in 2021. This is due to the increased use of the internet and smartphone platforms, as well as artificial intelligence and machine learning. The app's algorithms learn and understand user interests to deliver refined results that generate better user engagement. As Ericsson and the Radicati Group forecasted, 6.64 billion people own a smartphone today, which is around 83.32% of the world population, and by 2025, 7.33 billion people will own a smartphone. As a result, there is a substantial rise in demand for better smartphone apps, for which creative and innovative mobile application development is the need of the hour. Innovation will give your business a competitive edge it's never had before. It will also open up new ways to grow your business. Discover the top innovations in mobile app development. Innovations in Mobile Application Development Some of the technological breakthroughs in mobile app development will greatly improve the user experience in the future. These focus mainly on the implementation of the latest technological innovations to realize functionality that has never been seen or done before. Let us now delve into their specifics. In-App Paid Features: Android and iOS Development While Android has a market share of 70%, iOS has grabbed a market share of around 28% in the mobile operating systems market as of 2022. In-app advertising and in-app purchases generate the major ROI from mobile applications on both mobile operating platforms. A great UI and UX go a long way toward boosting your app and business, and they also help you rank highly in the respective app markets, i.e., the Google Play Store and the App Store. Rolling out constant updates and adhering to the security standards of the marketplace keeps your business app ranking at the top. Augmented and virtual reality With the AR kit, you can design and make 3D mobile apps for your customers that use virtual reality. AR and VR are constantly changing the business of making mobile apps. You can use these trends to give mobile users really great experiences. A few of the sectors making successful use of these technologies include gaming, e-commerce, retail, interior design, real estate, tourism and travel, education, training, healthcare, manufacturing and construction, advertising and marketing, and entertainment. Your AR and VR mobile apps are more valuable if you can meet your expectations for maximum ROI with a minimum budget. You can do this by making constant improvements to your minimum viable product. Beacon Technology The beacon technology uses a smartphone's Bluetooth to identify any store, museum, or other business in the vicinity. As mobile devices get more powerful, IoT and edge sensors will be used more and more. Because of that, beacon technology will change the way we interact with the world. This technology sends notifications to your customer’s phone about your product when the customer passes by, sends content and descriptions about an ongoing event at your location to your customers, and more. Proximity marketing and indoor navigation notifications are the few ways retail is using this technology. With the help of beacon technology, your business can track assets, keep track of contacts, offer access to loyalty programs, gather advanced data, and send mobile tickets. Al and ML The versatility and power of innovations in Al and ML keep them relevant. For example, they let you turn pictures into animations that look real. These animations provide real-time analytics and other valuable insights. As an AI learns from its own experience, providing a better customer experience based on the data you feed it helps create intelligent chatbots. Personalized shopping assistance, fraud prevention, task automation, smart content, voice assistants, and autonomous vehicles are a few of the examples where you will see AI implemented. An AI trains itself through machine learning, or ML. ML forecasts future data trends using available historical data. This invaluable addition to your existing apps transforms the way they interact with customers. We are one step closer to a super-personalized experience. Wearables Wearables let you make calls, find your way to your destination, measure and analyze your vital signs in real time, and look at your own personal insights. So, app developers and businesspeople should focus on making apps that give people who use wearables a great digital experience. Getting better apps for wearable devices can greatly enhance their functionality and the user experience. From listening to your favorite music to tracking your fitness goals, taking notes, finding a parking spot, and adhering to your health and fitness regimen, a wearable device does it all. If developing your company’s wearable app delivers more value, this technology is not just a game changer but a lifesaver for many. Predictive analytics Predictive analytics is essential to e-commerce. When it comes to making mobile apps, predictive analysis can help improve both the process and the user experience. By putting together information from many developers, it can help predict problems and suggest solutions. Your predictive analytics will be better if you use artificial intelligence (AI), data mining, machine learning, modeling, and statistics. The data that your small and medium-scale businesses have gathered over a period of time becomes one of the most valuable sources of information that helps predict and forecast future market trends. Unexplained market rises and falls will now have an explanation, as will mobile apps that can precisely tell what, when, and where needs to be changed, replaced, or repaired. Using constants and variables that are already known, predictive analytics and data modeling can help make accurate predictions about the future. Blockchain Technology The world of blockchain has innumerable possibilities. Applications backed by blockchain technology benefit from end-to-end encryption. This means no one but you can retain data ownership rights. Blockchain technology is used for a lot of important communication and financial transactions because it is safe and private. Blockchain holds promise for better efficiency, productivity, and performance, as well as for elevating the user experience. Blockchain is more secure and reliable, offers better transparency in financial transactions, makes you go password-free using an SSL certificate (Secure Sockets Layer), promotes simplicity, protects your identity, safeguards access to your digital data and information, and helps transmit and receive accurate data with the help of balanced data transfer using several nodes at once. On-Demand Applications As lockdowns and quarantines went on for a long time, many delivery apps started to appear. There were apps for taxis, grocery stores, and even medicine delivery. The on-demand model is likely to grow as more service-based companies shift their focus towards on-demand apps. Technology is always changing, and every year, new versions of technology hit the market. That's why we need to keep up with the latest updates and use them to make applications that are both new and full of features. That's a must for a successful launch of a mobile app. Making the development process easy for the developers reduces the time it takes to develop applications using the software. There are options like rapid application development software, no code, and low-code application development software. These can include mobile app development, SaaS (software as a service), cloud apps, on-premise standalone apps, desktop apps, and web-based apps for many devices, including IoT devices. Using AI to power the application development process speeds up development, testing, and deployment, which helps a lot with scaling from small to medium to large and beyond. Some quick and effective mobile app development platforms include Quixey, Zoho Creator, AppyPie, AppSheet, Bizness Apps, Appery.io, iBuldApp, Shoutem, Rollbar, JIRA, AppInstitute, GoodBarber, Caspio, and more. Long-Term Benefits of Mobile App Development Innovations for Your Small Business: Creating a winning product doesn’t have to be a long process. Improvements on the product offered by competitors and finding competitor product shortcomings, along with using innovative technologies, help add value to your mobile app as a product. Mobile app development innovations help in many ways, such as: Improve your brand's relationship with your customers. Offer 24/7 access to your business, Get excellent customer insights, Efficiently market your product online, Save on additional marketing costs, Boost employee efficiency by increasing engagement. Improve communication, shreds down the busy work and Streamline the data. Generate a new revenue stream from ads targeted at in-app purchases. As a result, you meet customer expectations efficiently, allowing you to expand your business and attract potential customers. Your customers and potential customers are always looking for something new and exciting to experience and adopt. Sooner or later, they make habits of seeing something, and then they start thinking of that mobile app as a standard benchmark to look up to. Talking about the scalability of a mobile application, there is a lot of scope to improve using innovative technologies, and all minor to major updates take you from where you are to where you want to be. Finding the right mix of technologies will help your business grow and expand. Tying everything together Business growth for small-scale businesses starts with new inputs and strategic technological investments in mobile app development. Although they sound promising, striking the right balance to implement innovative technologies relies heavily on rigorous predictive analysis. Tools and technologies help meet customer expectations at scale and grow the business beyond imagination with the power of innovation.

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FUTURE TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | July 14, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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SOFTWARE

How Artificial Intelligence Is Transforming Businesses

Article | July 14, 2022

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Saviynt, Inc.

Saviynt offers complete access governance and intelligence solutions for critical Data, Workloads, DevOps Resources, and Access to critical applications on Cloud and Enterprise. Saviynt combines granular application access, risk and usage analytics, real-time prevention with out-of-box risk signatures and SOD rules to address security & compliance needs for the enterprise.

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AI TECH,GENERAL AI,AI APPLICATIONS

Dataiku Enhances Its Partner Network to Accelerate Everyday AI

Dataiku | November 15, 2022

Dataiku, the platform for Everyday AI, today announced it has enhanced the Dataiku Partner Network to help partners build joint offerings and go-to-market capabilities for co-sales, service delivery, and resell routes to market to serve companies on their AI journey better. Members of this Partner Network will work with Dataiku to build a world-class partner ecosystem that delivers high-value AI and ML offerings at scale. Today, the Dataiku Partner Network has a global reach across over 50 countries with 3,000 (and growing) Dataiku certifications. The network includes over 325 cloud, ISV, systems integrator, and resell partners, including today's leading AI innovators – AWS, Google Cloud, Microsoft Azure, Snowflake, Deloitte, Capgemini, Slalom, and many others. "Dataiku is committed to helping enterprises derive more value from their data. "We're building a network of market-leading aligned organizations that bring the power of AI and ML to customers and prospects to make a powerful impact on the bottom line. Whether a technology, resell, or services partner, the expanded Dataiku Partner Network is designed to help our partners and their customers achieve the extraordinary." David Tharp, SVP of Ecosystems and Alliances at Dataiku The Dataiku Partner Network was created to build a legion of AI partners of all types, including technology partners who are now able to offer an AI platform that works seamlessly with their own platform; resell partners looking to expand their product portfolio with a leading AI platform that their customers need; and services partners who can support their client's adoption of the Dataiku platform to use their data across a broader set of users than was ever before available. Members of the enhanced Dataiku Partner Network will enjoy benefits such as: New partner tiering model with badges to showcase expertise and achievements Early insights into important Dataiku product and company announcements Exclusive access to Dataiku training, sales enablement, and events Richer onboarding support to accelerate business goals Spur demand generation with marketing assets, programs, and campaigns About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 500 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

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AI TECH, AI APPLICATIONS

Kyndryl and Teradata Partner to Help Global Customers Use Artificial Intelligence and Data Modernization to Transform Their Businesses

Kyndryl | October 07, 2022

Kyndryl , the world’s largest IT infrastructure services provider, and Teradata , the connected multi-cloud data platform for enterprise analytics company, today announced a strategic global partnership to help customers apply artificial intelligence (AI) and data modernization techniques across their environments to accelerate business outcomes and speed time-to-value. The companies are uniting Kyndryl’s Data and AI services and infrastructure management capabilities with Teradata’s high performance cloud analytics and data platform to help customers modernize and migrate their on-prem data warehouses to the cloud with hyperscaler platforms. Kyndryl and Teradata will also collaborate to help customers use AI to derive better insights and outcomes from their hybrid and multi-cloud data environments by designing, enabling and supporting enterprise data modernization solutions. “Kyndryl, has a long history of supporting large mission-critical environments for our customers. We are thrilled to partner with Teradata who is a trusted and valued technology partner to many customers, providing a best-in-class analytics and data platform for enterprises across the globe. “We look forward to deepening our partnership, so we can deliver greater value and results that help companies transform and compete in their industries and around the world.” Nicolas Sekkaki, Applications, Data & AI global practice leader for Kyndryl The companies expect to create more value for customers with new capabilities that unite Kyndryl’s services and know-how, including advisory, implementation and managed services, to help enable joint customers get the greatest value from the Teradata VantageCloud analytics and data platform. “This partnership brings together Teradata’s unparalleled analytics capabilities and 40-plus years’ experience in data management with Kyndryl’s ability to bring teams of highly qualified individuals for the design, implementation, deployment, and ongoing operations of a modernized IT environment,” said Lisa Stewart, Senior Vice President, Worldwide Partners and Alliances at Teradata. “This joint expertise will enable our customers to drive more actionable insights and higher value from their data through advanced analytics and AI/ML initiatives.” Kyndryl and Teradata will also focus on delivering industry-specific analytics services as they address customer data modernization challenges and needs across key verticals including the manufacturing, communications, financial services, retail & CPG industries. About Kyndryl Kyndryl is the world’s largest IT infrastructure services provider serving thousands of enterprise customers in more than 60 countries. The Company designs, builds, manages and modernizes the complex, mission-critical information systems that the world depends on every day. For more information, visit www.kyndryl.com About Teradata Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.

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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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AI TECH,GENERAL AI,AI APPLICATIONS

Dataiku Enhances Its Partner Network to Accelerate Everyday AI

Dataiku | November 15, 2022

Dataiku, the platform for Everyday AI, today announced it has enhanced the Dataiku Partner Network to help partners build joint offerings and go-to-market capabilities for co-sales, service delivery, and resell routes to market to serve companies on their AI journey better. Members of this Partner Network will work with Dataiku to build a world-class partner ecosystem that delivers high-value AI and ML offerings at scale. Today, the Dataiku Partner Network has a global reach across over 50 countries with 3,000 (and growing) Dataiku certifications. The network includes over 325 cloud, ISV, systems integrator, and resell partners, including today's leading AI innovators – AWS, Google Cloud, Microsoft Azure, Snowflake, Deloitte, Capgemini, Slalom, and many others. "Dataiku is committed to helping enterprises derive more value from their data. "We're building a network of market-leading aligned organizations that bring the power of AI and ML to customers and prospects to make a powerful impact on the bottom line. Whether a technology, resell, or services partner, the expanded Dataiku Partner Network is designed to help our partners and their customers achieve the extraordinary." David Tharp, SVP of Ecosystems and Alliances at Dataiku The Dataiku Partner Network was created to build a legion of AI partners of all types, including technology partners who are now able to offer an AI platform that works seamlessly with their own platform; resell partners looking to expand their product portfolio with a leading AI platform that their customers need; and services partners who can support their client's adoption of the Dataiku platform to use their data across a broader set of users than was ever before available. Members of the enhanced Dataiku Partner Network will enjoy benefits such as: New partner tiering model with badges to showcase expertise and achievements Early insights into important Dataiku product and company announcements Exclusive access to Dataiku training, sales enablement, and events Richer onboarding support to accelerate business goals Spur demand generation with marketing assets, programs, and campaigns About Dataiku Dataiku is the platform for Everyday AI that allows companies to leverage one central solution to design, deploy, govern, and manage AI and analytics applications. Since its founding in 2013, the company has been the leader in democratizing data and empowering organization-wide collaboration. Today, more than 500 companies worldwide use Dataiku to integrate and streamline their use of data, analytics, and AI, driving diverse use cases from fraud detection and customer churn prevention, to predictive maintenance and supply chain optimization.

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AI TECH, AI APPLICATIONS

Kyndryl and Teradata Partner to Help Global Customers Use Artificial Intelligence and Data Modernization to Transform Their Businesses

Kyndryl | October 07, 2022

Kyndryl , the world’s largest IT infrastructure services provider, and Teradata , the connected multi-cloud data platform for enterprise analytics company, today announced a strategic global partnership to help customers apply artificial intelligence (AI) and data modernization techniques across their environments to accelerate business outcomes and speed time-to-value. The companies are uniting Kyndryl’s Data and AI services and infrastructure management capabilities with Teradata’s high performance cloud analytics and data platform to help customers modernize and migrate their on-prem data warehouses to the cloud with hyperscaler platforms. Kyndryl and Teradata will also collaborate to help customers use AI to derive better insights and outcomes from their hybrid and multi-cloud data environments by designing, enabling and supporting enterprise data modernization solutions. “Kyndryl, has a long history of supporting large mission-critical environments for our customers. We are thrilled to partner with Teradata who is a trusted and valued technology partner to many customers, providing a best-in-class analytics and data platform for enterprises across the globe. “We look forward to deepening our partnership, so we can deliver greater value and results that help companies transform and compete in their industries and around the world.” Nicolas Sekkaki, Applications, Data & AI global practice leader for Kyndryl The companies expect to create more value for customers with new capabilities that unite Kyndryl’s services and know-how, including advisory, implementation and managed services, to help enable joint customers get the greatest value from the Teradata VantageCloud analytics and data platform. “This partnership brings together Teradata’s unparalleled analytics capabilities and 40-plus years’ experience in data management with Kyndryl’s ability to bring teams of highly qualified individuals for the design, implementation, deployment, and ongoing operations of a modernized IT environment,” said Lisa Stewart, Senior Vice President, Worldwide Partners and Alliances at Teradata. “This joint expertise will enable our customers to drive more actionable insights and higher value from their data through advanced analytics and AI/ML initiatives.” Kyndryl and Teradata will also focus on delivering industry-specific analytics services as they address customer data modernization challenges and needs across key verticals including the manufacturing, communications, financial services, retail & CPG industries. About Kyndryl Kyndryl is the world’s largest IT infrastructure services provider serving thousands of enterprise customers in more than 60 countries. The Company designs, builds, manages and modernizes the complex, mission-critical information systems that the world depends on every day. For more information, visit www.kyndryl.com About Teradata Teradata is the connected multi-cloud data platform for enterprise analytics company. Our enterprise analytics solve business challenges from start to scale. Only Teradata gives you the flexibility to handle the massive and mixed data workloads of the future, today.

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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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