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Published By: Group M_IBM Q2'19     Published Date: Apr 11, 2019
This report describes the results from a groundbreaking global study by Thycotic that reveals major risk and compliance gaps in how organizations manage and secure their privileged accounts and access to sensitive systems, infrastructure and data. The 2018 Global State of Privileged Access Management (PAM) Risk & Compliance report highlights where many organizations are failing to fully put security controls in place to protect their most critical information assets.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Digital technology is redefining possibilities in Energy, Environment and Utilities. Disruptive forces, emerging consequences, pressing challenges, and provocative opportunities. Learn how industries benefited from your data. Learn how IBM E&U describes disruptions manifested in Energy, Environment and Utilities. IBM identifies three ways your company focus can to stay ahead of the competition in pressing challenges. Additionally, identifying three provocative opportunity actions that are needed to get going.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
IBM’s advanced technologies can help energy and utility companies harness their data to increase efficiency and reduce expenditures. Utilities can reduce operating expenses by 20%, while lowering environmental impact.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
IBM’s advanced technologies can help energy and utility companies harness their data to increase efficiency and reduce expenditures. Utilities can reduce operating expenses by 20%, while lowering environmental impact.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Digital technology is redefining possibilities in Energy, Environment and Utilities. Disruptive forces, emerging consequences, pressing challenges, and provocative opportunities. Learn how industries benefited from your data. Learn how IBM E&U describes disruptions manifested in Energy, Environment and Utilities. IBM identifies three ways your company focus can to stay ahead of the competition in pressing challenges. Additionally, identifying three provocative opportunity actions that are needed to get going.
Tags : 
    
Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
This Forrester Wave report evaluates the top applications management and digital operations services (AMDOS) providers.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
IBM Institute for Business Value report discussing how multicloud environments are proliferating in surveyed organizations, the benefits of multicloud management and an approach to managing multicloud environments
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
A new era of business reinvention is dawning. Organizations are facing an unprecedented convergence of technological, social and regulatory forces. As artificial intelligence, automation, Internet of Things, blockchain and 5G become pervasive, their combined impact will reshape standard business architectures. The “outside-in” digital transformation of the past decade is giving way to the “inside-out” potential of data exploited with these exponential technologies. We call this next-generation business model the Cognitive Enterprise.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
An opportunity for Chief Procurement Officers (CPOs): As business models evolve and technology advances, CPOs can elevate their value across enterprises and extended supplier networks with Cognitive Procurement capabilities that can sense and act.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 08, 2019
Empowering the Automotive Industry through Intelligent Orchestration With the increasing complexity and volume of cyberattacks, organizations must have the capacity to adapt quickly and confidently under changing conditions. Accelerating incident response times to safeguard the organization's infrastructure and data is paramount. Achieving this requires a thoughtful plan- one that addresses the security ecosystem, incorporates security orchestration and automation, and provides adaptive workflows to empower the security analysts. In the white paper "Six Steps for Building a Robust Incident Response Function" IBM Resilient provides a framework for security teams to build a strong incident response program and deliver organization-wide coordination and optimizations to accomplish these goals.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 08, 2019
IBM provides a security incident response (IR) solution called Resilient that helps its customers address security incidents quickly in an automated and orchestrated manner. IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by deploying Resilient. The purpose of this study is to provide readers with a framework to evaluate the potential financial impact of the Resilient platform on their organizations.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
If your bank is like many, it encrypts only a minimum of data. This is because many banks believe, incorrectly, that encrypting all data is unworkably cost- and resource-intensive on any platform. Encrypting piecemeal creates the need to carefully track where you are encrypting, what you are encrypting, and the time and resource costs of these activities.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
It’s probably no surprise to you that the financial services industry is changing rapidly. Digital technology is redefining the possibilities with automated processes, AI insights, customized experiences, new operating models and next-generation applications — yet global industry profits are stagnating. As the number of disruptors in the space rises, many banks are being asked to innovate while lowering structural costs and improving capital returns — and many traditional banks are falling behind.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 04, 2019
As more companies transform their infrastructures with hybrid cloud services, they require environments that protect the safety of their intellectual property, such as data and business rules. In addition, businesses need a set of hybrid cloud services that provides the best of both worlds: the elasticity and automatic provisioning of the public cloud with the economic viability of the private cloud. Welcome to IBM LinuxONE.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
In our 29-criteria evaluation of machine learning data catalogs (MLDCs) providers, we identified the 12 most significant ones — Alation, Cambridge Semantics, Cloudera, Collibra, Hortonworks, IBM, Infogix, Informatica, Oracle, Reltio, Unifi Software, and Waterline Data — and researched, analyzed, and scored them. This report shows how each provider measures up and helps enterprise architecture (EA) professionals make the right choice.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
As the foundation for most critical business decisions, today's data environments are not just a vital piece of IT infrastructure, but key component of corporate strategy.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
In this report, we''ll analyze the many challenges that organizations face when it comes to building and managing modern IT infrastructure. We'll also look at how many businesses are taking advantage of a hybrid cloud and on-premise approach, which comes with some significant benefits.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
One of the biggest changes faces organizations making purchasing and deployment decisions about analytic databases -- including relational data warehouses -- is whether to opt for a cloud solution.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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Group M_IBM Q2'19
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