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Published By: IBM     Published Date: Apr 06, 2014
The world’s water system is vulnerable. Essential for health, food, energy, manufacturing and transportation, the global water system is suffering from stress, deteriorating quality, aging and insufficient infrastructure. Managing this critical resource requires a smarter approach to deliver improved outcomes across the water management lifecycle. Using information and analytics, governments, cities, utilities and businesses must take immediate action to deploy a smarter approach to water management to solve the world’s water crisis.
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IBM
Published By: IBM APAC     Published Date: Aug 25, 2017
New seismic and disruptive events are upending the pace of innovation – and leading companies are jumping into the fray, trying to differentiate themselves through emerging business models. But here is the hard truth: Enterprises are wasting money, resources and time putting on a facade of innovation that falls short of customer and shareholder expectations. There is an inherent expectation that these incremental, and in many cases “siloed,” investments or initiatives will lead to sustained business impact. The time has come to move beyond “innovation theater” into a more mature adoption of innovation that drives measurable business results. Now is the time for Innovation 2.0.
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corporate culture, accountable business, risk, leveraging market differentiators, portfolio, investments
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 25, 2017
Digital technologies have altered how people and businesses interact. Digital forces have created unprecedented levels of industry dislocation and are fundamentally changing business economics. To succeed in this disruptive environment,organizations will need to offer compelling new experiences, establish new focus, build new expertise and devise new ways of working. Business leaders will face a stark choice: Either digitally reinvent their enterprises, or watch as their businesses decompose around them. Successful Digital Reinvention will involve a fundamental reimagining of how an organization operates and how it engages with its environment.
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technology factors, market factors, macroeconomic, technological disruption, regulatory concerns, socioeconomic factors
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 25, 2017
Consumerization of IT and the Internet of Things (IoT) are revolutionizing how people live. Users are increasingly becoming accustomed to instant gratification when using technology in their personal lives, whether for gaming, shopping or managing their daily activities. And they want the same kind of immediate service when they go to work. To address this expectation, IT support needs to adapt, evolve and even revolutionize itself or become outdated. In short, IT support must reinvent itself into a friendly, proactive service that is tied directly to a business’ profitability.
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cognitive it support, transactions, system of engagement, soa, omnichannel support, ibm
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 25, 2017
There is a tectonic shift in the way we work. We expect the same kind of intuitive, tactile experience with our workplace technology that we now take for granted with our smartphones, tablets and gaming systems. We expect our devices to talk to each other and update automatically. Virtual meetings should be as easy to set up as a video chat, and whatever we need to do our jobs should be as easy to tailor as a streaming music or video application.
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personal profile, news and alerts, conversation recall, system updates, productivity tips
    
IBM APAC
Published By: CA Technologies     Published Date: Aug 24, 2017
In our 28-criteria evaluation of application performance management (APM) solutions, we identified the 14 most significant vendors — AppDynamics, AppNeta, BMC Software, CA Technologies, Dell, Dynatrace, Hewlett Packard Enterprise (HPE), IBM, ManageEngine, Microsoft, Nastel Technologies, NetScout, New Relic, and Riverbed Technology — 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 for their organization.
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CA Technologies
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
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1 800 flowers, ibm, e-commerce, case study, master data management
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Business leaders are eager to harness the power of big data. However, as the opportunity increases, ensuring that source information is trustworthy and protected becomes exponentially more difficult. If not addressed directly, end users may lose confidence in the insights generated from their data—which can result in a failure to act on opportunities or against threats. Information integration and governance must be implemented within big data applications, providing appropriate governance and rapid integration from the start. By automating information integration and governance and employing it at the point of data creation, organizations can boost confidence in big data. A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamle
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mdm, big data, automation, organization
    
IBM
Published By: IBM     Published Date: May 26, 2017
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months1 and can cost an organization an average of 11 million USD.2 Today’s cyber actors are becoming more sophisticated, agile and capable of getting past any network security. Organizations must evolve, replacing traditional defensive security strategies with a proactive, intelligence-driven offense to prevent and disrupt these threats. IBM® i2® Enterprise Insight Analysis is a next generation intelligence solution that enables organizations to incorporate cyber threat hunting into their security strategy and turn their defense into a proactive offense.It helps organizations uncover critical insights about their threats and threat actors so they can mitigate and counter more threats with a combination of multi-dimensional visualte analysis capabilities
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ibm, ibm i2, cyber security, customer interaction, enterprise insight analysis
    
IBM
Published By: IBM     Published Date: May 26, 2017
This white paper is intended for: • Potential users such as analysts and investigators who want information about i2 Analyst’s Notebook Premium and the benefits it provides • System administrators who wish to gain a high-level understanding of the product and the system prerequisites that are needed to install and run the application • Users who wish to learn how to exploit the maximum value of i2 Analyst’s Notebook Premium This document provides an overview of the i2 Analyst’s Notebook Premium product.
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ibm, ibm i2, ibm i2 analyst, notebook premium
    
IBM
Published By: IBM     Published Date: May 26, 2017
A significant challenge for many organizations has been enabling their analysts to find the "unknown unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime. IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective early-detection, cyberintelligence weapon for its arsenal.
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security. ibm, ibm i2, cyber-intelligence, fraud, malware
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Data—dynamic, in demand and distributed—is challenging to secure. But you need to protect sensitive data, whether it’s stored on premises, off-site, or in big-data, private- or hybrid-cloud environments. Protecting sensitive data can take many forms, but nearly any organization needs to keep its data accessible, protect data from loss or compromise, and comply with a raft of regulations and mandates. These can include the Payment Card Industry Data Security Standard (PCI DSS), the Health Insurance Portability and Accountability Act of 1996 (HIPAA) and the European Union (EU) General Data Protection Regulation (GDPR). Even in the cloud, where you may have less immediate control, you must still control your sensitive data—and compliance mandates still apply.
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data, security, encryption, cloud environments, data regulation
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Just a few years ago, many organizations turned to private cloud environments to help increase flexibility and control costs—largely because of the immaturity and lack of control within the public cloud environments then available. Today, however, the decision to “go cloud” is less of a binary, and more of a spectrum of choices, spanning different deployment models (public, private and hybrid) and service types, including IaaS, PaaS and SaaS.
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cloud, data protection, security, deployment methods, service types
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
Fear of data misuse has led to both general and industry-specific data-privacy regulations worldwide that many organizations now must meet, and it’s important to embrace their requirements. The role of data-holding organizations has increasingly shifted to being stewards of information, in particular in the United States and the European Union (EU). And failure to comply with regulations can mean not only reputational damage, but substantial fines and even jail time. Just meeting compliance mandates, though, may not help you actively spot and stop a data breach.
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data misuse, security, privacy regulations, data breach, compliance mandates
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
This white paper is intended for: • Potential users such as analysts and investigators who want information about i2 Analyst’s Notebook Premium and the benefits it provides • System administrators who wish to gain a high-level understanding of the product and the system prerequisites that are needed to install and run the application • Users who wish to learn how to exploit the maximum value of i2 Analyst’s Notebook Premium. This document provides an overview of the i2 Analyst’s Notebook Premium product. For more information on product features and capabilities in specific versions visit: ibm.com/smartercities.
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ibm product, analyst notebook premium, product capabilities, information analysis
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
While there has been improvement in the amount of time an attacker spends in a network before detection — decreasing from years to days in many cases — the ongoing delay illustrates just how elusive attackers still are compared to an organization's ability to detect a problem. IDC believes that actionable threat intelligence is going to be a significant factor in improving this metric. Threat intelligence has historically been seen as a complex set of activities reserved for security operations centers (SOCs) and advanced security analysts. The tools to collect and apply threat intelligence have generally not existed commercially and the ability to integrate threat intelligence into the traditional security workflow has not been available. Over the last few years, threat intelligence has been growing in importance within the security workflow.
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data security, threat intelligence, security operations, advanced security analysts
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
The headlines are ablaze with the latest stories of cyberattacks and data breaches. New malware and viruses are revealed nearly every day. The modern cyberthreat evolves on a daily basis, always seeming to stay one step ahead of our most capable defenses. Every time there is a cyberattack, government agencies gather massive amounts of data. To keep pace with the continuously evolving landscape of cyberthreats, agencies are increasingly turning toward applying advanced data analytics to look at attack data and try to gain a deeper understanding of the nature of the attacks. Applying modern data analytics can help derive some defensive value from the data gathered in the aftermath of an attack, and ideally avert or mitigate the damage from any future attacks.
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cyber attacks, data breach, advanced data analytics, malware
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
In the era of always-on business, enterprises need reliable, secure and consistently fast access at all times. Overlay that with the reality of how organizations combine on-premises systems with cloud-based solutions, and it’s clear that a robust, agile and flexible database platform is mandatory.
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reliability, security, consistency, database, platform, access
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: IBM     Published Date: Jul 14, 2017
Technology has always enabled companies to reinvent how they engage with customers. But now we are seeing a profound shift – the convergence of physical and digital customer interactions – which is fundamentally changing how customers will interact and transact with brands and businesses everywhere. To better understand these dynamics, the IBV is conducting a Customer Experience (CX) study, published as a series, with multiple reports organized by topic.
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digital interaction, experience design, interactive experience, cross functional collaboration, customer experience, integrated data
    
IBM
Published By: IBM     Published Date: Jul 14, 2017
Today’s CMO is responsible for selling experiences, not just products. Two-thirds of our respondents regard developing deeper, richer customer experiences as their top marketing priority. Learn how Torchbearer CMOs are meeting these expectations and expanding their roles by putting the entire customer journey first.
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cloud computing, mobile solutions, convergence, technology advances, predictive analysis, business value
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
Banks today are continuously challenged to meet rigorous regulatory requirements. They must implement strict governance programs that enable them to comply with a wide variety of regulations stemming from the financial crisis that began in 2007, including the DoddFrank Act, Basel Committee on Banking Supervision regulations, the General Data Protection Regulation (GDPR), the Revised Payment Services Directive (PSD2) and the revised Markets in Financial Instruments Directive To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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risk mitigation, data aggregation, risk reporting, banking
    
IBM
Published By: IBM     Published Date: Aug 23, 2017
To compete in today’s fast-paced business climate, enterprises need accurate and frequent sales and customer reports to make real-time operational decisions about pricing, merchandising and inventory management. They also require greater agility to respond to business events as they happen, and more visibility into business activities so information and systems are optimized for peak efficiency and performance. By making use of data capture and business intelligence to integrate and apply data across the enterprise, organizations can capitalize on emerging opportunities and build a competitive advantage.
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ibm, data replication, inventory management, competitive advantage
    
IBM
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