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data management

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Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
It’s important to understand the impact of AI workloads on data management and storage infrastructure. If you’re selecting infrastructure for AI workloads involving ML and deep learning, you must understand the unique requirements of these emerging workloads, especially if you’re looking to use them to accelerate innovation and agility. This Gartner report highlights three main impacts that AI workloads have on data management and storage.
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IBM APAC
Published By: Schneider Electric     Published Date: Jul 18, 2019
The Digital Revolution. Industry 4.0. The Industrial Internet of Things. The 4th Industrial Revolution. Call it what you will but today’s fast-accelerating technological evolution has forever changed the business of manufacturing.
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data center operations, iot energy management, internet of things, energy efficiency
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jul 18, 2019
The Digital Revolution. Industry 4.0. The Industrial Internet of Things. The 4th Industrial Revolution. Call it what you will but today’s fast-accelerating technological evolution has forever changed the business of manufacturing.
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data center, energy efficiency, energy management
    
Schneider Electric
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Automating disaster recovery and disaster recovery testing saves time and budget, plus reduces risk when there is an actual emergency. With weather events, ransomware, and other outages distruping your business, you need a modern disaster recovery solution that really works at time of disaster. Choosing the right disaster recovery solution can be the difference between keeping your business up and running or going dark during an emergency. Learn hoe the commvault platform for data management provides availability for your business against today's real world outages
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Commvault ABM Oct
Published By: Commvault ABM Oct     Published Date: Jul 17, 2019
Construction firm reduces costs, complexity, and risk by protecting information in the cloud and at remote sites through a single data management solution.
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Commvault ABM Oct
Published By: IBM APAC     Published Date: Jul 15, 2019
TBC
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IBM APAC
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Today’s C-level executives expect data and analytics to provide them with speed and agility to deliver competitive advantage and to disrupt new markets. But, in today’s complex data environment exists a near paradox between these expectations, that companies will be able to rapidly deliver value using data and analytics--and the complexities of the data landscape, making it more difficult to find, govern, connect to and access the data needed to deliver that value. Once thing is clear: if management expectation is to be met, simplifying connectivity is a must.In this white paper, veteran analyst Mike Ferguson, Managing Director of Intelligent Business Strategies explores how simplifying data access –connectivity –aligns expectations with data realities thus decreasing time to value.
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Simba by Magnitude
Published By: ETQ     Published Date: Jul 10, 2019
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection." Download this Gartner Analyst Guide to learn: Key challenges in the QMS software selection processes What to expect from different QMS solutions across the market Analysis of the current state of quality management to help define software requirements Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
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ETQ
Published By: Adobe     Published Date: Jul 10, 2019
Every organisation is at a different point in their progression with campaign management. Maybe you’ve had some success with email marketing and you want to expand your efforts across additional channels. Perhaps you invested in a campaign management solution several years ago when you had fewer marketing channels, simpler data sets and less sophisticated customers. It could be you’re a new marketing team, eager to set yourself up for success with an enterprise-class campaign management solution that meets all the requirements you know about—and even some you don’t.
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Adobe
Published By: Akamai Technologies     Published Date: Jul 02, 2019
In today’s markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities — from first registration and login to the later stages of the customer relationship — and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM). When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy). Read this white paper for an in-depth analysis of CIAM implementation options, including: ? Must-haves for a successful, enterprise-grade CIAM system ? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions ? A real-world case study that illustrates the ROI of an effective CI
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Akamai Technologies
Published By: Schneider Electric     Published Date: Jul 01, 2019
This eGuide examines how the IIoT, big data, and augmented reality are enabling a new era of cost reduction, asset management, and worker safety in water and wastewater processing.
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augmented reality, big data, water
    
Schneider Electric
Published By: Schneider Electric     Published Date: Jul 01, 2019
Data-driven asset performance management can help food & beverage manufacturers leverage tools such as equipment efficiency solutions, augmented reality and secure asset connection to transition from a reactive to a prescriptive approach. This will not only help reduce CapEx and OpEx, but also empower the workforce, whilst meeting manufacturing KPIs. This report from Frost & Sullivan shows how manufacturers can achieve 20-30% cost savings by changing their asset maintenance approach.
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asset performance, food and beverage, manufacturing
    
Schneider Electric
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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Group M_IBM Q3'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: OpenText     Published Date: Jun 28, 2019
Integration Technologies Should Reduce The Burden of Data Integration and Management Digital transformation has multiplied the number of packaged applications and the interfaces that support them. It also requires a greater agility from businesses to follow growing customer demands for value, innovation, and new and improved digital interactions. This means that interfaces must constantly evolve to support the continuous integration and continuous delivery (CI/CD) of systems of engagement. These applications are under pressure from customer experience, employee experience, and the required operational excellence of automation systems.
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OpenText
Published By: SAS     Published Date: Jun 27, 2019
The health care world is changing. And data has a role to play in that change. Traditional health care systems are becoming more accessible and convenient, while also offering lower priced options. Proactive care — rather than reactive — is expected, including a shift from disease management to disease prevention. Likewise, a greater emphasis on personalized delivery, including understanding populations, has led to increased precision in holistic care management. Combining conventional data sources with data from previously untapped data sources — such as electronic health records, wearables, social determinants, social media, genetics and diagnostics — creates new possibilities for understanding the patterns, relationships, and predictors of wellness and health. Keep reading this e-book to discover how health care leaders are generating new opportunities for innovation and transforming how care is delivered.
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SAS
Published By: Adobe     Published Date: Jun 26, 2019
To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.
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Adobe
Published By: Adobe     Published Date: Jun 26, 2019
The fight for customer attention is a daily struggle, but it doesn’t have to be. With a data management platform (DMP), you can be confident that the experiences you deliver are the ones your customers want and expect. Learn: o What a DMP can do for you o The three functions of a DMP o How Adobe Audience Manager can help
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Adobe
Published By: Adobe     Published Date: Jun 26, 2019
In the race to please customers and beat out the competition, there’s been a lot of talk about customer data platforms (CDPs). For marketers, a CDP is just what they’ve been looking for — a more comprehensive approach to unified customer data that lets you include raw personally identifiable information or sensitive data in your data pool. But while IT teams see the ultimate value, they may question the idea introducing a new point solution that complicates their tech stack even more. The days of brute forcing customer experience with new technology are over. Today, IT teams need to make decisions about customer experience management that span the business and go beyond marketing. That requires a different approach to the customer data problem. To learn more about our solution to the customer data platform, read our article Real-time CPD. Real-time customer experience.
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Adobe
Published By: Gigaom     Published Date: Jun 25, 2019
Join this webinar to learn how the right data management practices and intelligent archives can boost the value of data and make it reusable for new applications, becoming a tool to improve and simplify the digital transformation journey of your organization.
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aparavi, digital transformation, data management, data compliance, data storage, data liability, data regulations, data growth, infrastructure, compliance, security policies, data integration, data protection, database security, data loss prevention
    
Gigaom
Published By: Datastax     Published Date: Jun 20, 2019
A Gartner survey found that 80% of respondents using public cloud are using more than one cloud service provider. This report assesses the shift to multicloud architecture, challenges being faced by data and analytics leaders, and the growing need for database management technology that enables integration of data across multiple clouds.
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Datastax
Published By: HP Inc.     Published Date: Jun 20, 2019
Reduce costs and increase efficiency under the new "as a service" model: Research findings from IDC To understand the true value of adopting the as-a-service model, International Data Corp. (IDC), a market intelligence provider, conducted an HP-sponsored survey of organizations with at least 750 end-user devices across nine countries, and found that device management services can curtail costs, reduce IT workload and support a more streamlined and efficient way of doing business.
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HP Inc.
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