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Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18
Published By: Group M_IBM Q418     Published Date: Oct 26, 2018
What are the benefits and costs of implementing an API Management solution? Forrester Consulting analyzed the Total Economic Impact (TEI) of IBM API Connect, developing a composite organization based on surveys of 32 IBM customers. Some of the key questions answered by this paper are: • What are the costs associated with IBM API Connect, and what returns can I expect for my business? • What are the benefits, both financial and business, that I can expect from API Connect? • What's the financial impact of API Connect on developing new opportunities for businesses, developers, and customers? Read on to learn about the financial benefits of choosing API Connect as your API management solution.
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Group M_IBM Q418
Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: SAP     Published Date: Oct 11, 2018
Procurement organizations are moving in substantial numbers to implement integrated technology suites in areas like source-to-contract and purchase-to-pay. A new generation of technology has made it possible for these technologies to move to the cloud, simplifying maintenance and administration. A recent Hackett Group study analyzed the use of e-sourcing suites to uncover trends, benefits and drawbacks to unifying these processes in one solution. For organizations already invested in optimizing sourcing execution efforts, the arguments for moving to an integrated suite are compelling.
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SAP
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: Jun 25, 2019
In our 27-criterion evaluation of global internetof-things (IoT) services for connected business operations providers, we identified the 14 most significant ones — Accenture, Atos, Capgemini, Cognizant, Deloitte, Dimension Data, EY, HCL Technologies, IBM, Infosys, KPMG, PwC, Tata Consultancy Services (TCS), and Wipro — and researched, analyzed, and scored them. This report shows how each provider measures up and helps infrastructure and operations (I&O) professionals make the right choice.
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Group M_IBM Q3'19
Published By: Intel     Published Date: Apr 09, 2019
The retail market is evolving with the incorporation of computer vision, advanced RFID solutions, and the ability to collect and analyze data at the edge.
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Intel
Published By: Intel     Published Date: Apr 09, 2019
Video data is a key part of surveillance as well as many other types of IoT implementations. But video data can be complex and costly to gather, transmit, and analyze. AllGoVision* provides an innovative analytics solution, purpose-built for video data. Powered by Intel® architecture, the solution has been deployed in more than 100 installations in 35 countries. It rapidly analyzes video from surveillance cameras for designated parameters, including specified factors, behavior patterns, motion tracking of people and objects, and environmental monitoring.
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Intel
Published By: Intel     Published Date: Apr 11, 2019
Restaurants, like many industries, are data-rich environments that often do not have the tools or technologies to gather and mine the value from this data. Fast food chain automation is changing how restaurants calculate and manage costs on a daily basis. ARDIC's IoT-Ignite* analytics solution combines with Intel® technologies to gather, filter, and analyze key variables to automate operations in fast-moving environments. For restaurants, benefits include reduced waste, insight into customer behaviour, and operational efficiency—with positive impact on the bottom line.
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Intel
Published By: GFT USA, Inc.     Published Date: Jun 26, 2019
In today's continuously evolving world of technology, the growth of data consumed and analyzed at pace provides a great opportunity to gain competitive advantage. GFT and Google Cloud provide the strategy and support to tap into this opportunity so your company can stay ahead.
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GFT USA, Inc.
Published By: Apptio     Published Date: Jul 16, 2019
With increased adoption, cloud footprints are getting larger and more unwieldy to manage. Organizations know they must analyze and consolidate their cloud bills to stop cloud waste eating into OpEx budgets. Extensive cloud adoption driven by a “cloud-first” mandate isn’t inherently sprawl, but do you know the business initiatives that spend is supporting? What alternatives did you consider? How is spend tracking? Download this guide to stop cloud sprawl from undercutting your IT strategy.
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Apptio
Published By: BehavioSec     Published Date: Sep 30, 2019
Authentication is evolving from static one-time user action, to transparent and continuous ways of validating digital identities without imposing frustration on end users. Behavioral biometrics technologies invisibly and unobtrusively authenticate users by validating the manner in which they physically interact online. Behavioral biometrics technologies learn how individual users hold mobile devices in their hands and press their fingers on the touchscreen. On computers, the system learns how users type on keyboards and move their mouse and cursor. The BehavioSec solution gathers this behavioral data and analyzes it using advanced techniques, to ensure that the user is who you expect them to be.
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BehavioSec
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