big data

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Published By: Pindrop Security     Published Date: Apr 26, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: Pindrop Security     Published Date: Apr 26, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: TIBCO Software APAC     Published Date: May 31, 2018
Predictive analytics, sometimes called advanced analytics, is a term used to describe a range of analytical and statistical techniques to predict future actions or behaviors. In business, predictive analytics are used to make proactive decisions and determine actions, by using statistical models to discover patterns in historical and transactional data to uncover likely risks and opportunities. Predictive analytics incorporates a range of activities which we will explore in this paper, including data access, exploratory data analysis and visualization, developing assumptions and data models, applying predictive models, then estimating and/or predicting future outcomes.
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TIBCO Software APAC
Published By: TIBCO Software APAC     Published Date: May 31, 2018
With data the new competitive battleground, businesses that take advantage of their data will be the leaders; those that do not will fall behind. But gaining an advantage is a more difficult technical challenge than ever because your business requirements are ever-changing, your analytic workloads are exploding, and your data is now widely-distributed across on-premises, big data, the Internet of Things, and the Cloud. TIBCO® Data Virtualization is data virtualization software that lets you integrate data at big data scale with breakthrough speed and cost effectiveness. With TIBCO Data Virtualization, you can build and manage virtualized views / data services that access, transform, and deliver the data your business requires to accelerate revenue, reduce costs, lessen risk, improve compliance, and more.
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TIBCO Software APAC
Published By: IBM     Published Date: Jun 13, 2018
The cloud offers elasticity and flexibility to meet a range of demands
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IBM
Published By: Mitel     Published Date: Apr 25, 2018
This is a time of rapid and dramatic progress in the cloud communications landscape. New technological innovations help companies incorporate location-independent systems, allowing workers to collaborate and communicate wherever they may be. And all signs indicate this is only the beginning, with the industry poised for unprecedented growth. In fact, as enterprise software moves to the cloud, the traditional unified communications space is having its own dramatic shift. The consumer experiences from Snapchat to Instagram to Facebook among other consumer technologies—are changing the expectations for communications. New models for collaboration and engagement, supported by big data and the cloud, provide a whole new world of opportunities.
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evolution, consumer, demands, cloud, communications
    
Mitel
Published By: IBM     Published Date: Apr 03, 2018
The next generation of IBM Db2 helps organizations get more value from their big data to improve their IT economics.
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ibm, data management, db2
    
IBM
Published By: IBM     Published Date: Apr 19, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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db2, data migration, ibm, oracle
    
IBM
Published By: IBM     Published Date: May 22, 2018
An overview of testing in talent acquisition and four specific guidelines for assessment practitioners evaluating new selection methods.
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human resources, talent management
    
IBM
Published By: Google Cloud     Published Date: May 09, 2018
To the Cloud and Beyond: Big Data in the Age of Machine Learning
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Google Cloud
Published By: Workday UK     Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
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Workday UK
Published By: Workday UK     Published Date: Mar 08, 2018
In the HR Outlook Report for Winter 2016/2017, brought to you by the CIPD in association with Workday, HR leaders discuss the priorities and challenges facing the function, both today and as we move into a business landscape which is anything but clear. Read the report and discover: • How HR leaders view their role in guiding their organisation through periods of economic and political uncertainty, such as Brexit • The uptake of analytics and big data to strengthen evidence-based decision making and the barriers preventing HR from adopting these technologies • HR’s priorities for 2017, and how these are shifting from 2016
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Workday UK
Published By: Microsoft Azure     Published Date: Apr 11, 2018
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center. Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management. Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models: Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking. Boun
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios: Keeping track of essentials such as scalability and availability. Making sure your app delivers consistent service to multiple customers. Delivering data in real time, across the globe, without the complexities of multiple datacenters. Creating actionable insights from big data. Incorporating artificial intelligence into your apps. Locking down security while building in the cloud.
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Microsoft Azure
Published By: CrowdStrike     Published Date: May 10, 2018
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
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CrowdStrike
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
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SAS
Published By: SAS     Published Date: Jun 06, 2018
This A-to-Z guide includes 101 common terms related to the Internet of Things. It’s not an exhaustive list, given that the IoT and big data are evolving so quickly, but rather a quick go-to resource for the technically savvy data professional who wants to get a handle on this vast IoT and big data ecosystem. This guide for the “non-geek” does include some technical terms, but they are explained sans technical “geek speak.” We also provide context to how a term may be connected to a larger discussion by grouping terms by category.
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SAS
Published By: MIT Academy of Engineering, Pune     Published Date: Mar 05, 2013
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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MIT Academy of Engineering, Pune
Published By: IBM     Published Date: Apr 13, 2018
IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused framework.
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gdpr, compliance, data protection, personal data
    
IBM
Published By: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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SAP
Published By: HPE APAC     Published Date: Jun 16, 2017
The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility. Read on to find out more.
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HPE APAC
Published By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA Tier 3 ABM
Published By: Cisco EMEA Tier 3 ABM     Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
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big data, analytics, cisco, value, business, enterprise
    
Cisco EMEA Tier 3 ABM
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