data solutions

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By: Code42     Published Date: Jan 13, 2016
BACKUP ISN’T JUST A COPY IN THE CLOUD. IT’S THE ANTIDOTE TO EVERYTHING. Be it user error, natural disaster, hardware failure, malware, theft or litigation—there’s a countermeasure to restore your business to normal. Skeptical? Click through the eBook to ?nd out how backup makes the enterprise impervious.
Tags : code42, endpoint backup, cloud storage, data migration, data storage solutions, e-discovery, security, it management, enterprise applications
     Code42
By: Code42     Published Date: Jan 13, 2016
Today’s organizations face a ballooning data management and risk problem. The use of laptops, tablets, workstations, servers and smartphones in the enterprise to create and store critical data is growing at an alarming rate. Many companies still rely on a legacy, platform-specific data backup solution, even though it doesn’t provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Whether migrating to a new version or brand new hardware on the client or server—organizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data. Continuous, real-time data backup is the only viable solution for protecting all enterprise data while providing for a seamless migration process. But how do you achieve it?
Tags : code42, best practices, platform-specific data, endpoint backup, data migration, real-time data backup, data solutions, security, it management, enterprise applications
     Code42
By: AWS     Published Date: Jul 24, 2019
Reduce costs and scale to meet customer expectations Software-as-a-service (SaaS) delivery models are being adopted faster than ever to meet business and consumer demand, prompting organizations to move their customer-facing applications to the cloud. As a result, Independent Software Vendors (ISVs) need to modernize their applications to deliver the flexibility and scale customers expect, without the restrictions and high costs of running applications on commercial databases. mLogica provides deep industry expertise, backed by powerful engineering, to help ISVs quickly modernize their applications on Amazon Aurora and drive greater business value with Amazon Web Services (AWS). Register for our webinar to learn how mLogica and AWS can help you transform your business on the cloud, so you can deliver modern, high-performing solutions to your customers.
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     AWS
By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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     AWS
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
By: SnowFlake     Published Date: Jul 08, 2016
Data today comes from diverse sources in diverse forms and needs to be analyzed by ever more users as quickly as possible. Those demands are stressing the limitations of traditional data warehouses and data platforms. Snowflake has reinvented the data warehouse, making it possible to bring all your business data together in a single system that can support all your users and workloads. Built from the cloud up as a software service, Snowflake eliminates the cost, complexity, and inflexibility of existing solutions while allowing you to use the tools and skills you already have.
Tags : snowflake, data, technology, best practices, solutions, cloud support, storage
     SnowFlake
By: SAP     Published Date: Jun 22, 2009
Traditional BI solutions face many obstacles and limitations.  However, the need for timely and succinct business intelligence (BI) continues to grow.  
Tags : sap, dashboard, dashboards, business intelligence, business solutions, integration, ziff davis, live data, it solutions, data management, interactivity, c-level, accurate information, information, enterprise applications, platforms
     SAP
By: IBM     Published Date: May 27, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
Tags : ibm, big data, insurance, insurance technology, big data solutions, business value, financial data, risk data, claims data, actuarial data
     IBM
By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
Tags : ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment, policy rates, customer retention, claims data, transaction data
     IBM
By: IBM     Published Date: Nov 19, 2014
Risk Management: OpenPages GRC: Operational risk management in the world of big data - Unlocking the value of loss event data and driving the risk-aware enterprise
Tags : ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
     IBM
By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
Tags : ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions, hybrid deployment, deployment models
     IBM
By: IBM     Published Date: Feb 24, 2015
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
Tags : telematics, ibm, insurance, big data, comprehensive solutions
     IBM
By: IBM     Published Date: Feb 24, 2015
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : big data, ibm, claims operations, customer service
     IBM
By: IBM     Published Date: Jul 22, 2015
By using FTM, financial institutions can gain visibility into message processing, balance financial risk and facilitate effective performance management.
Tags : financial transaction manager, ftm, financial risk management, business applications, enterprise, data management solutions, storage management, enterprise applications
     IBM
By: HP & Intel     Published Date: Oct 04, 2011
Read this whitepaper to understand Intel's Cloud vision for evolving cloud infrastructures to be more secure, simplified,and built and open standards.
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     HP & Intel
By: HP & Intel     Published Date: Feb 18, 2012
Read the results of this survey of 200 IT professionals sounding off on a wide variety of cloud topics.
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     HP & Intel
By: HP & Intel     Published Date: Feb 18, 2012
This guide provides practical information to help you prepare your data center for the cloud with Unified Networking, scaled-out storage, trusted server pools, and intelligent power management.
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     HP & Intel
By: Oracle     Published Date: May 08, 2015
A Cimdata analysis of the state of the innovation market, common issues innovators of today face, and solutions for realizing better innovation practices.
Tags : innovation, management, efficiency, roi, product development
     Oracle
By: IBM     Published Date: Jul 01, 2015
This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.
Tags : clinical analytics, enhanced data foundation, data-driven healthcare organization, integrated data sources, data lifecycle management, big data, healthcare analytics solutions
     IBM
By: Unitrends     Published Date: Aug 18, 2015
When it comes to data protection, what matters most? You want the freedom to choose the types of data, applications, and computing platforms you protect. You want to seal off that data from security threats. You need space to house that data—the right space now with room to grow. You want to support older solutions as you evolve your technology environment to modern strategies, at a pace that suits your business. And you need the ability to reach out for that data at a moment’s notice without overstressing your network. In short, you need it all.
Tags : unitrends, backups, backup software consolidated backup, backup software enterprise, program backup software, network appliance backup, continuous backup software, backup software server, vps, virtual server, it management, storage, data management, data center
     Unitrends
By: Druva     Published Date: Aug 03, 2016
Will your company will lose data in the cloud? Many organizations think SaaS providers will recover their data but that is not the case. Gartner assesses backup and recovery shortcomings of SaaS providers and provides considerations to close the gap.
Tags : druva, gartner, best practices, technology, data, cloud
     Druva
By: SAS     Published Date: Mar 06, 2018
With decisions riding on the timeliness and quality of analytics, business stakeholders are less patient with delays in the development of new applications that provide reports, analysis, and access to diverse data itself. Executives, managers, and frontline personnel fear that decisions based on old and incomplete data or formulated using slow, outmoded, and limited reporting functionality will be bad decisions. A deficient information supply chain hinders quick responses to shifting situations and increases exposure to financial and regulatory risk—putting a business at a competitive disadvantage. Stakeholders are demanding better access to data, faster development of business intelligence (BI) and analytics applications, and agile solutions in sync with requirements.
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     SAS
By: SAS     Published Date: Mar 06, 2018
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and analytics. And you can do it through an interface that anyone can use. At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days. Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced
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     SAS
By: SAS     Published Date: Jun 06, 2018
Today’s consumers expect immediate, personalized interactions. To meet these expectations, companies must differentiate their brands through timely, targeted and tailored customer experiences based on real-time data analytics. This report, sponsored by SAS, Intel and Accenture and conducted by Harvard Business Review Analytic Services, looks at how businesses are using advanced customer data analytics, along with real-time analytics and real-time marketing, to enhance their customers’ experiences. Learn why organizations that place a high value on real-time capabilities still struggle to achieve them, what companies can do to ensure success as they adopt and implement real-time analytics solutions, and what benefits successful companies are already seeing.
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     SAS
By: Tripp Lite     Published Date: Sep 30, 2015
This white paper: • Explains the staggering growth of digital data volume and the increasing demand for faster access • Examines the different types of data transmission • Outlines the two potential solutions for connecting 10Gb equipment with higher-speed equipment
Tags : equipment, higher-speed, data transmission, infrastructure, volume, integrate, network, speed, digital, it management, enterprise applications
     Tripp Lite
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