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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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By: Group M_IBM Q119     Published Date: Jan 04, 2019
Supply chains are the lifeblood of a business, impacting everything from the quality, delivery and costs of an organization’s products and services, to customer service and satisfaction, and ultimately profitability.
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Jan 17, 2019
Today, financial service companies are embracing hybrid cloud and its advantages, such as the ease of shifting production workloads and secure applications to public cloud environments. But, what is challenging is the complex regulatory landscape. 20,000 new regulatory requirements were created in 2016 alone. How can security pros ensure that controls for identity management, authentication and encryption work in both private and public clouds? Download this report for a closer look at the complexity of hybrid cloud security and 10 essential elements for compliant business operation.
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Jan 17, 2019
This paper explores why Financial institutions must consider rapidly transforming their business models. It looks at how new cognitive and digital models can lead to alternative revenue sources using marketplace banking strategies and cognitive technologies, as well as extensive cost efficiencies.
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Jan 22, 2019
In an age of constant cyber threat, security for financial services firms must go beyond playing defense. Experts from IBM and the Federal Reserve explain what a culture of Digital Trust looks like and how to build it.
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Feb 15, 2019
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 Q119
By: Group M_IBM Q119     Published Date: Mar 04, 2019
The convergence between new technologies - like AI, blockchain, intelligent sensors, and edge computing - have the potential to disrupt, transform and streamline traditional supply chain operations. Join Supply Chain experts to learn: - Successes and failures of manufacturer’s to-date - Tips for selecting the best use case for your business - Industry best-practices for applying AI and blockchain
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Feb 25, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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     Group M_IBM Q119
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
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
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
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
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
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
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
By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
The days of data being narrowly defined as highly structured information from a few specific sources is long gone. Replacing that notion is the reality of a wide variety of data types coming from multiple sources, internal and external, to an organization. All of it is in service of providing everyone from IT, to line-of-business (LOB) employees, to C-level executives with insights that can have an immediate and transformative impact.
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     Group M_IBM Q2'19
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
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