smart data

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Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Oracle     Published Date: Feb 21, 2018
The proliferation of smart devices has created opportunities for new business solutions based on IoT technology. Businesses are finding more and more ways to harness this data, using it to drive smarter decisions, open new markets, enable new services, and reduce costs.
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Oracle
Published By: FICO EMEA     Published Date: Feb 11, 2019
The automotive leasing and financing industry is facing its most competitive times. Market disruptors are moving quickly, leveraging technology to provide polished and high-value customer experiences to lure business away from more traditional lenders. However, the use of smart technology and automated credit decisioning can enable auto lenders to make accurate lending decisions and gain a competitive edge. Learn how you can: • Issue accurate and immediate credit financing decisions at the point of sale • Reduce delinquencies and credit losses • Grow your lending portfolio • Create winning offers using data and analytics • Speed up credit decisions to prospects and stay competitive • Use smart analytics to enhance the customer service experience Download the case study round up Digital Transformation for Automotive Finance to learn how you can transform your business.
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collections treatment optimisation, customer retention, lending decision, collection optimisation, debt managemen, auto leasing financing, automated credit decisioning
    
FICO EMEA
Published By: IBM     Published Date: Feb 27, 2014
This white paper describes software as the invisible thread that links product parts into an intelligent whole. It examines software delivery for smart products and strategies for evolving software development into a business process.
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ibm, ibm software, innovation, software development, smart products, product delivery, smart software, consumerization
    
IBM
Published By: Clustrix     Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring. If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions. This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
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technology, clustrix, online advertising, real time bidding, database, analytics
    
Clustrix
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: Clustrix     Published Date: Sep 04, 2013
Find out how AdScience has been able to increase their revenue potential by five times using Clustrix to optimize bidding for their online ad broker agency. AdScience runs complicated algorithms to process bids for ad space based on click history. It's critical for AdScience to have instant access to smart data.
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adscience, revenue, technology, clustrix, algorithms, case study, best practices
    
Clustrix
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Cities are changing at a pace never before possible, bringing smart features online daily. But smart features don’t equal smart cities. That’s why aspiring smart cities are shifting from siloes of smart features to a more holistic approach that connects and makes sense of all people and things. This shift demands technology solutions that are edge-centric, cloud-enabled and data-driven, able to deliver citizen-centric outcomes now and into the future.
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Hewlett Packard Enterprise
Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
Published By: Splunk     Published Date: Aug 17, 2018
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights. Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights. You’ll learn about: *The critical role AI and machine learning play in finding answers *How data is the fuel for your machine learning and AI-powered initiatives *The ways in which AI and machine learning are being applied today to bolster IT operations and security
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Splunk
Published By: IBM     Published Date: Oct 16, 2014
As part of the IBM® SMART Program, Andrews Distributing worked with Southern Methodist University to develop a predictive analytics solution that mines data on 1,000 SKUs sold at 10,000 retailers, and reveals new insights about beer category sales in different retail environments.
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distribution model, analytics services, predictive analytics, sales growth
    
IBM
Published By: Oracle     Published Date: Mar 01, 2019
To keep up with rapid growth and stay ahead, disruptor fintechs must stay agile and go on innovating. Bangkok-based Forth Smart provides payment gateways that turn cash into digital currency via its thousands of vending machines. They needed to approach ITin new ways in order to free up budgets, resources and imaginations to focus on innovation. Oracle Cloud Specialist Marek Winiarski, talked to Forth Smart’s Data Scientist, Pawarit ‘Taa’ Ruengsuksilp about how the company has made cost savings and improved customer experience by adopting Oracle Autonomous Data Warehouse.
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Oracle
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Emerging technologies and automation permeate every aspect of our work and lives today. The real opportunity of these technologies — which include artificial intelligence (AI), machine learning, the Internet of Things (IoT), and human interfaces — is to enable us to embrace innovation on a scale never seen before. These technologies help us reimagine what’s possible in work and in life - from self-driving cars and personalized medicine to precision agriculture and smart cities that are changing the way we experience our world. Autonomous opens a new world of opportunities for enterprises. Autonomous Database for Dummies consists of five chapters that describe emerging technology trends and the business value of autonomous. Download this whitepaper to discover the business value of autonomous, Deploy a data warehouse in seconds and more!
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Oracle EMEA
Published By: Oracle     Published Date: Apr 23, 2015
This white paper reveals how most advanced organisations are using predictive analytics to reveal where future opportunities lie, and to deploy resources and training accordingly.
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be insight-driven, insights, sales, data, social media, smart use of data, analytic, improve analytical capabilities
    
Oracle
Published By: Sybase     Published Date: Aug 21, 2009
The paper will explore the differences between smart-client and thin-client mobile architectures. It will then examine the details of common smart-client architectures, including what type of back-end systems they integrate with, the types of devices they support, how data is managed within the architecture, and development languages that can be used to build the application.
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mobile app, mobile apps, mobile architecture, mobile device, mobile application, mobile application development, application development, mobile
    
Sybase
Published By: IBM     Published Date: Oct 10, 2014
Learn about making better product decisions with a Rational Focal Point solution for product portfolio management.
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ibm, product management, decision support, smarter decisions, successful products, finding data, software tools, product portfolios
    
IBM
Published By: FICO     Published Date: Jun 07, 2016
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
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FICO
Published By: FICO     Published Date: Jun 07, 2016
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
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FICO
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics
    
IBM
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
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TIBCO Software GmbH
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