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Published By: Group M_IBM Q2'19     Published Date: Mar 29, 2019
The vast increase in dark data—all of the unstructured data from the Internet, social media, voice and information from connected devices—is overwhelming many executives and leaving them completely unprepared for the challenges their businesses face.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Mar 29, 2019
Banking engagement is about to come full circle. Over the past few decades, banks have pushed customers to digital and self-service channels, with significant consequences. As customers take their transactions from the branches to the digital channels, banking has become less and less personal. Will this trend continue? To predict the future let’s first review how we got here.
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Group M_IBM Q2'19
Published By: Group M_IBM Q119     Published Date: Mar 13, 2019
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
This report explores a new breed of data warehouse that can operate in a world of legacy on-premise systems while exploiting the potential of cutting edge technologies and deployment styles
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
In this report, we'll analyze the many challenges that organizations face when it comes to building and managing a modern IT infrastructure
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
The days when avoiding the Cloud was a defensible position for a business are gone. By taking advantage of the Cloud, organizations not only gain its direct benefits, but are also better able to leverage other new technologies and become more efficient and innovative
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
In this paper, we focus on the DWA and how it has evolved over the years since its introduction. The XDW architecture is then described, in which the need to maintain the data warehouse is documented while adding new components and capabilities to extend the analytical capabilities. This section also discusses the appropriate usage of appliances within the XDW. The rest of the paper covers the benefits from implementing the DWA, the selection considerations for them and what the future holds for them.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: IBM APAC     Published Date: Mar 06, 2019
Achieve superior control and performance across multicloud environments with IBM Multicloud Manager. With a multicloud strategy, it can become time-consuming, expensive and difficult to manage environments as you contend with scattered visibility, security and workloads across multiple Kubernetes clusters and clouds. IBM Multicloud Manager integrates all your environments in a single view that gives you optimal control over how you see, govern and automate everything.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
A multicloud world is quickly becoming the new normal for many enterprises. Learn how the multicloud world is changing the face of IT. Understanding cloud environments and making decisions about multicloud management can be complex. IBM has identified ten key pain points and related best practices that help organizations successfully navigate these transformations.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
The Forrester Study on cost savings and business benefits enabled by Watson Studio and Watson Knowledge Catalog. Watson Studio provides a suite of tools for data scientists, application developers, and subject matter experts to collaboratively and easily work with data and use that data to build, train and deploy machine learning models at scale. The Forrester provides readers a framework to evaluate the potential financial impact of the Watson Studio and Watson Knowledge Catalog investment on their organizations.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
A single environment to build, train, and deploy machine-learning and deep learning models. Take advantage of machine learning and AI to analyze your data. Catalog your data to make it easy to find. All applications are free and without time limit!
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
The 2019 IBM X-Force Threat Intelligence Index looks back at the threats, tactics, and trends that emerged in 2018 based on insights from IBM X-Force Security Research Team. Deriving data and insights from security clients, incident response services and penetration testing engagements, the IBM X-Force Threat Intelligence Index 2019 report outlines the most prominent threats and provides key insights into various industries, attack tactics, and major vulnerabilities that emerged during the year.
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IBM APAC
Published By: IBM APAC     Published Date: Mar 06, 2019
A cyber resilient enterprise is one that can prevent, detect, contain and recover from a myriad of serious threats against data, applications and IT infrastructure. The Ponemon Institute and IBM surveyed more than 2,848 IT and IT security professionals from around the world and released the findings of the third annual study on the importance of cyber resilience for a strong security posture.
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IBM APAC
Published By: Group M_IBM Q119     Published Date: Mar 05, 2019
In this digital world, fast and reliable movement of digital data, including massive sizes over global distances, is becoming vital to business success across virtually every industry. The Transmission Control Protocol (TCP) that has traditionally been the engine of this data movement, however, has inherent bottlenecks in performance (Figure 1), especially for networks with high, round-trip time (RTT) and packet loss, and most pronounced on high-bandwidth networks. It is well understood that these inherent “soft” bottlenecks arcaused by TCP’s AdditiveIncrease-Multiplicative-Decrease (AIMD) congestion avoidance algorithm, which slowly probes the available bandwidth of the network, increasing the transmission rate until packet loss is detected and then exponentially reducing the transmission rate. However, it is less understood that other sources of packet loss, such as losses due to the physical network media, not associated with network congestion equally reduce the transmission rate.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 05, 2019
The Aspera FASP high speed transport platform is enabled to provide high-performance secure WAN transport of files, directories, and other large data sets to, from and between a number of leading third-party cloud storage platforms. The implementation is an enhanced transport stack and virtual file system layer in the Aspera server software that allows for direct-to-object-storage transfer over the WAN using the FASP protocol and the native I/O capabilities of the particular third-party file system. The stack is available in all generally available Aspera server software products and supports interoperable transfer with all generally available Aspera client software
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 05, 2019
For years, executives have been automating for efficiency, freeing workers from repetitive tasks, streamlining the back office and looking for cost savings. Now, they are exploring intelligent automation to establish thinking processes—processes that communicate realtime insights to employees, customers and partners across an expanding ecosystem. The ability to add intelligence to automation opens a new universe of possibilities that will have a profound impact on the way organizations operate and the way work gets done. More than anything else, intelligent automation will be a defining factor for the future workforce.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 05, 2019
Check out the IBM Marketplace where you can explore hundreds of IBM and partner products and services that make you and your business smarter
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 05, 2019
IBM commissioned Forrester Consulting to examine the potential ROI enterprises may realize by implementing the IBM Automation Platform for Digital Business. The purpose of this Total Economic Impact (TEI) study is to provide readers with a framework to evaluate the potential financial impact of the IBM Automation Platform for Digital Business on their organizations.
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Group M_IBM Q119
Published 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
Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
Tags : 
    
Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 04, 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 Q119
Published By: Group M_IBM Q119     Published Date: Mar 01, 2019
Security leaders across all industries face mounting challenges. Cyberattacks are continually growing in volume, complexity, and sophistication, and incident response (IR) teams are pushed to the limit of their time, skill, and resources. Additionally, the average Security Operation Center (SOC) uses more than 75 different security tools – making full visibility nearly impossible and integrating those tools challenging as well.
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Group M_IBM Q119
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