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data automated

Results 1 - 25 of 114Sort Results By: Published Date | Title | Company Name
Published By: AWS     Published Date: Jul 25, 2019
What you'll learn in this webinar: Simplify the move from legacy commercial databases or niche database solutions to Amazon Web Services (AWS) with help from experts in database migration and automation software solutions from mLogica. Watch our webinar to hear how you can transform your legacy environment to an AWS cloud-native infrastructure by migrating to Amazon Aurora. Using mLogica’s fully automated, self-learning mLogica Database Migration Studio, and consultancy service, you can modernize your databases and applications without disrupting your daily operations. Join our webinar to learn how: mLogica helped TicketSocket unify and simplify its data and gain efficiencies of cost and scale You can move enterprise, mission-critical complex databases to AWS You can break free of commercial licensing obligations
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Trupanion, a Seattle-based medical insurance provider for cats and dogs, needed to find data insights quickly. With only 1% of pet owners insured, the process of evaluating a claim to approve or deny payment was manual and time-consuming. Building accurate predictive models for decision-making required manpower, time, and technology that the small company simply did not have. DataRobot Cloud, built on AWS, helped Trupanion create an automated method for building data models using machine learning that reduced the time required to process claims from minutes to seconds. Join our webinar to hear how Trupanion transformed itself into an AI-driven organization, with robust data analysis and data science project prototyping that empowered the company to make better decisions and optimize business processes in less time and at a reduced cost. Join our webinar to learn: Why you don’t need to be an expert in data science to create accurate predictive models. How you can build and deploy pr
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AWS
Published By: AWS     Published Date: Jun 24, 2019
Join our webinar to hear how Consensus, a Target-owned subsidiary, utilizes AWS and Trifacta to prepare data for use in fraud detection algorithms. You’ll learn how self-service automated data wrangling can save your organization time and money, and tips for getting started with Trifacta’s solution, built for AWS. Webinar attendees will learn: Why automating your data wrangling tasks can lead to greater data accuracy and more meaningful insights. How you can reduce your data preparation time by 60% and more with self-service data wrangling tools built for AWS. How easy it is to get started with machine learning solutions for data wrangling on the cloud.
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AWS
Published By: Darktrace     Published Date: Jun 17, 2019
This white paper discusses Darktrace's Industrial Immune System, a fundamental innovation that views data from an Industrial Control System network in real time, and establishes an evolving baseline for what is normal for operators, workstations and automated systems within that environment.
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Darktrace
Published By: ServiceNow     Published Date: May 14, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
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servicenow, cmdb, stages, foundation, infrastructure
    
ServiceNow
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business. Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
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Oracle EMEA
Published By: VMware     Published Date: Apr 09, 2019
To help their business clients unleash innovation and support growth, IT teams need to evolve to a modern data center that is virtualized, software defined and automated, with a consistent operational model for infrastructure and application delivery. In this collection of case studies, we reveal how companies are building more agile, innovative businesses based on VMware solutions.
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VMware
Published By: HERE Technologies     Published Date: Apr 04, 2019
Artificial Intelligence (AI) has already begun to improve targeting, segmentation, media buying and planning in the advertising industry. AI algorithms can extract complex patterns from vast numbers of data points, and in so doing, are able to self-correct and learn patterns. The revenue potential that improved personalization, segmentation and targeting that AI provides to marketers is huge. At HERE Technologies, we are placing AI and machine learning at the center of our products and services. We see the opportunity in automated machine learning to enrich the targeting and effectiveness of mobile advertising campaigns in real time. But the outcome of implementing such technology depends on the quality of data being fed into it from the outset. AI wouldn’t be as helpful if it’s being used alongside questionable location data or audience data. HERE’s location data provides a strong thread that can be woven throughout every stage of the media buying process, offering more context and
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location data, ad tech, location targeting
    
HERE Technologies
Published By: ServiceNow     Published Date: Mar 13, 2019
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
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ServiceNow
Published By: Attunity     Published Date: Feb 12, 2019
Read this technical whitepaper to learn how data architects and DBAs can avoid the struggle of complex scripting for Kafka in modern data environments. You’ll also gain tips on how to avoid the time-consuming hassle of manually configuring data producers and data type conversions. Specifically, this paper will guide you on how to overcome these challenges by leveraging innovative technology such as Attunity Replicate. The solution can easily integrate source metadata and schema changes for automated configuration real-time data feeds and best practices.
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data streaming, kafka, metadata integration, metadata, data streaming, apache kafka, data integration, data analytics
    
Attunity
Published By: Oracle     Published Date: Jan 28, 2019
Traditionally, the best practice for mission-critical Oracle Database backup and recovery was to use storage-led, purpose-built backup appliances (PBBAs) such as Data Domain, integrated with RMAN, Oracle’s automated backup and recovery utility. This disk-based backup approach solved two problems: 1) It enabled faster recovery (from disk versus tape) 2) It increased recovery flexibility by storing many more backups online, enabling restoration from that data to recover production databases; and provisioning copies for test/dev. At its core, however, this approach remains a batch process that involves many dozens of complicated steps for backups and even more steps for recovery. Oracle’s Zero Data Loss Recovery Appliance (RA) customers report that total cost of ownership (TCO) and downtime costs (e.g. lost revenue due to database or application downtime) are significantly reduced due to the simplification and, where possible, the automation of the backup and recovery process.
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Oracle
Published By: Oracle     Published Date: Jan 28, 2019
Oracle Private Cloud Appliance is a converged infrastructure system designed for rapid and simple deployment of private cloud at an industry-leading price point. Whether customers are running Linux, Microsoft Windows or Oracle Solaris applications, Oracle Private Cloud Appliance supports consolidation for a wide range of mixed workloads in medium-to-large sized data centers. High-performance, low-latency Oracle Fabric Interconnect and Oracle SDN allow automated configuration of the server and storage networks. The embedded controller software automates the installation, configuration, and management of all infrastructure components at the push of a button. Customers need to enter only basic configuration parameters and create virtual machines (VMs) manually or by using Oracle VM Templates to get a full application up and running in a few hours. With Oracle Enterprise Manager, the Oracle Private Cloud Appliance is transformed into a powerful private cloud infrastructure that integrates
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Oracle
Published By: Intapp     Published Date: Jan 09, 2019
Intapp Time provides superior business intelligence thatchangesyour firm’sfundamental relationship with time.Thisunified suite of applications gives timekeepers access to time data and capture wherever they are: in the office, on a mobile device, online and offline.It is user-centric, offering a completely automated option while fullysupporting hands-on tracking—contemporaneous or reconstructionist.Intapp Time helps your business mine time data to reveal new sources of revenue, inform staff decisions, increase project efficiency, and reduce time leakage.
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business, business intelligence, time, tax, time for tax, intapp, applications, time data
    
Intapp
Published By: SAS     Published Date: Jan 04, 2019
As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Operationalizing and embedding analytics is about integrating actionable insights into systems and business processes used to make decisions. These systems might be automated or provide manual, actionable insights. Analytics are currently being embedded into dashboards, applications, devices, systems, and databases. Examples run from simple to complex and organizations are at different stages of operational deployment. Newer examples of operational analytics include support for logistics, customer call centers, fraud detection, and recommendation engines to name just a few. Embedding analytics is certainly not new but has been gaining more attention recently as data volumes and the freq
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SAS
Published By: Intel     Published Date: Dec 13, 2018
In today’s world, advanced vision technologies is shaping the next era of Internet of Things. However, gathering streaming video data is insufficient. It needs to be timely and accessible in near-real time, analyzed, indexed, classified and searchable to inform strategy—while remaining cost-effective. Smart cities and manufacturing are prime examples where complexities and opportunities have been enabled by vision, IoT and AI solutions through automatic meter reading (AMR), image classification and segmentation, automated optical inspection (AOI), defect classification, traffic management solution—just to name a few. Together, ADLINK, Touch Cloud, and Intel provide a turnkey AI engine to assist in data analytics, detection, classification, and prediction for a wide range of use cases across a broad spectrum of sectors. Learn more about how the Touch Cloud AI brings cost savings, operational efficiency and a more reliable, actionable intelligence at the edge with transformative insi
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Intel
Published By: Splunk     Published Date: Nov 29, 2018
IT organizations struggle with numerous challenges — hybrid environments, lack of visibility during cloud migration, multiple infrastructure monitoring tools, and reliance on manual processes. Yet according to a 2018 global survey, less than half of IT practitioners are confident they can ensure performance and system availability with their current toolset. As a Splunk customer, you understand the power of running your monitoring and logging environment in a machine data platform. Are you utilizing your machine data platform to effectively run APM, infrastructure monitoring and Network performance monitoring and diagnostics? This guide outlines the 8 biggest mistakes IT practitioners make and provides solutions, key takeaways and real-world examples to help you improve IT monitoring and troubleshooting in your organization. Download your copy to learn how to: Achieve end-to-end-visibility throughout cloud migration Find trends and root cause faster with automated investigations
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application performance monitoring, network tools, network monitoring tools, network monitoring software, network monitoring, it monitoring
    
Splunk
Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Fortinet’s 2018 Security Implications of Digital Transformation Survey looks at the state of cybersecurity in organizations around the world from the lens of digital transformation (DX). Three hundred responses from CISOs and CSOs at large organizations helped us identify several current trends: n Digital transformation is the most impactful IT trend on businesses today, with 92% responding that it has a large impact today. n Security is by far the biggest challenge to DX efforts, with 85% of respondents saying it has a large impact. n The typical organization saw four attacks that resulted in data loss, outages, or compliance events over two years. n Many companies have automated some of their security procedures, but they are even further behind with other security best practices. n Big chunks of infrastructure remain vulnerable in the typical organization, with 25% of the infrastructure not adequately protected at the typical organization. Looking more deeply into the data, we ident
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Fortinet EMEA
Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn The benefits of Disaster Recovery-as-a-Service (DRaaS), delivering on-site protection. How automated or
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AWS
Published By: ServiceNow     Published Date: Oct 22, 2018
Achieving complete visibility into your infrastructure requires reliable configuration data. With a solid plan, you can have a healthy CMDB and provide a foundation for implementing automated discovery. Learn the 4 stages to achieve complete visibility of your infrastructure with reliable data in your CMDB.
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cmdb, servicenow, discovery, infrastructure, data, visibility
    
ServiceNow
Published By: Juniper Networks     Published Date: Oct 02, 2018
Design your data center to be agile, automated, secure—and reduce TCO by as much as 25%. • Stay agile through automation • Increase security without increasing spending • Simplify and streamline through a common OS
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Juniper Networks
Published By: Panaya     Published Date: Aug 09, 2018
You can succeed in your digital transfomation and deliver applications and services faster, better, and safely. How? With Enterprise Agile Delivery. Enterprise Agile Delivery brings a wealth of benefits to organizations and can be adopted by any Agile hybrid framework: SAFe, LESS, Nexus as well as Agile/lean frameworks like Scrum and Kanban. Yet to achieve Eneterprise Agile Delivery, enterprises need an easy to use modern ALM tool for quick and successful onboarding. Download this white paper to understand how the right solution will help you: • Strategiaclly align feature releases and backlogs with your overall business strategy • Identify and prioritize dev and test activities with visibility into project waves and portfolios • Make data-based decisons for safe releases with real-time insights and multidimensional views into delivery risks • Sync business, dev, QA and release teams around shared objectives with automated coordination and communication
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Panaya
Published By: Oracle     Published Date: Aug 09, 2018
The purpose of IT backup and recovery systems is to avoid data loss and recover quickly, thereby minimizing downtime costs. Traditional storage-centric data protection architectures such as Purpose Built Backup Appliances (PBBAs), and the conventional backup and restore processing supporting them, are prone to failure on recovery. This is because the processes, both automated and manual, are too numerous, too complex, and too difficult to test adequately. In turn this leads to unacceptable levels of failure for today’s mission critical applications, and a poor foundation for digital transformation initiatives. Governments are taking notice. Heightened regulatory compliance requirements have implications for data recovery processes and are an unwelcome but timely catalyst for companies to get their recovery houses in order. Onerous malware, such as ransomware and other cyber attacks increase the imperative for organizations to have highly granular recovery mechanisms in place that allow
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Oracle
Published By: BlackLine     Published Date: Aug 06, 2018
BlackLine Account Reconciliations drives financial close accuracy by automating and standardising the reconciliation process. Quickly import transactions and balances from any ERP and compare it to source data to ensure completeness and accuracy. Automatically identify differences and focus your attention on discrepancy research and resolution. Consolidate all comments and supporting documents in one centralised repository, and gain visibility into your reconciliation process. Eliminate the manual financial close process and work smarter with BlackLine’s automated account reconciliation system.
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BlackLine
Published By: CA Technologies_Business_Automation     Published Date: Jun 29, 2018
Challenge It is not uncommon for SAP system copies, including any post-editing, to take several days to complete. Meanwhile, testing, development and training activities come to a standstill, and the large number of manual tasks in the entire process ties up highly skilled SAP BASIS staff. Opportunity Enterprises are looking to automation as a way to accelerate SAP system copies and free up staff. However, this is only one part of the problem: What further complicates the system copy process is the need to safeguard sensitive data and manage huge data volumes while also ensuring that the data used in non-production systems adequately reflects the data in production systems so the quality of development, testing and training activities is not compromised. Benefits This white paper explains how a considerable portion of the SAP system copy process can be automated using the CA Automic Automated System Copy for SAP solution and SNP T-Bone, helping enterprises become more agile.
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CA Technologies_Business_Automation
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