Published By: Genesys
Published Date: Feb 12, 2019
Wie werden wir in 7 Jahren mit Unternehmen kommunizieren?
Gemeinsam mit seinen Partnern Genesys und IBM hat der der 2b AHEAD ThinkTank mit „Kundendialog 2025 – Der Dialog zwischen intelligenten Systemen“ eine wissenschaftliche Studie dazu veröffentlicht. Sie untersucht den Wandel im Kommunkationsverhalten von Kunden und arbeitet Strategien zur Vorbereitung auf gravierende Veränderungen im Bereich des Kundendialogs heraus.
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.
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
"Improving Cyber Resilience in the Insurance Industry
Security automation plays a significant role when maintaining an organization's Cyber Resilience, according to IBM Resilient’s latest report, “The Ponemon Institute Study on the Cyber Resilient Organization.”
Download this latest report to understand the key factors that hinder the ability for efficient and effective Cyber Resilience and gain insights and guidance for improving your security posture."
"Your workers demand an
extraordinary level of flexibility and convenience in how they use their
Meaning it’s up to you to support a vast assortment of endpoints, including laptops and desktops (both PCs and Macs), tablets and hybrid devices, smartphones, and even the Internet of Things (IoT).
And not only do your users expect support for a wide variety of form factors, but they also require cross-platform support for all major platforms, including iOS and macOS, Android, and Windows.
To complicate the situation further, they run different versions of those platforms—for example, they may run Windows XP SP3, Windows 10, or anything in between.
Read onward and learn how the industry’s first cognitive UEM platform, MaaS360 with Watson, delivers a single, strategic management and security solution to drive your organization’s digital business transformation—no matter what endpoints your enterprise is putting to work."
"Managing and securing endpoints with conventional mobile device management (MDM) or enterprise mobile management (EMM) solutions is time-consuming and ineffective.
For this reason, global IT leaders are turning towards unified endpoint management (UEM) solutions to consolidate their management of smartphones, tablets, laptops and IoT devices into a single management console.
To increase operational efficiency, maximize data security and deliver on their digital transformation goals, they’ll need a UEM platform that does more than just promise success. The answer is a smarter solution, built for today, that brings new opportunities, threats, and efficiency improvements to the forefront.
With Watson™, IBM® MaaS360® UEM features cognitive insights, contextual analytics, and cloud-sourced benchmarking capabilities. It helps you make sense of daily mobile details while managing your endpoints, users, apps, document, and data from one platform."
A range of application security tools was developed to support the efforts to secure the enterprise from the threat posed by insecure applications. But in the ever-changing landscape of application security, how does an organization choose the right set of tools to mitigate the risks their applications pose to their environment? Equally important, how, when, and by whom are these tools used most effectively?
Today, when you make decisions about information technology (IT) security priorities, you must often strike a careful balance between business risk, impact, and likelihood of incidents, and the costs of prevention or cleanup. Historically, the most well-understood variable in this equation was the methods that hackers used to disrupt or invade the system.
Countless studies and analyst recommendations suggest the value of improving security during the software development life cycle rather than trying to address vulnerabilities in software discovered after widespread adoption and deployment. The justification is clear.For software vendors, costs are incurred both directly and indirectly from security flaws found in their products. Reassigning development resources to create and distribute patches can often cost software vendors millions of dollars, while successful exploits of a single vulnerability have in some cases caused billions of dollars in losses to businesses worldwide. Vendors blamed for vulnerabilities in their product's source code face losses in credibility, brand image, and competitive advantage.
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
This white paper will provide a road map to the most effective strategies and technologies to protect data and provide fast recovery should data be lost or corrupted due to accident or malicious action.
Journaling is a powerful feature, one that IBM has continued to develop and improve over the years. Yet, depending upon your business requirements, you probably still need more protection against downtime than journaling alone can provide. This white paper will cover what you need to know about journaling, what it can do and how it supports and cooperates with high availability software.
Achieving effective and efficient high availability protection for larger IBM i environments requires careful thought and clear understanding of the technology options. This white paper describes what you need to know in order to make an informed decision about IBM i high availability strategies so that your business requirements for Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are not compromised
This white paper provides a road map to the most effective strategies and technologies to protect data in AIX environments and provide fast recovery should data be lost or corrupted due to accident or malicious action. The paper also outlines the benefits of continuous data protection (CDP) technologies for AIX.
Continuous member service is an important deliverable for credit unions, and. the continued growth in assets and members means that the impact of downtime is affecting a larger base and is therefore potentially much more costly. Learn how new data protection and recovery technologies are making a huge impact on downtime for credit unions that depend on AIX-hosted applications.
Defense and intelligence agencies want to leverage the data they collect so they can use artificial intelligence to enhance readiness – but most who run these programs don’t know how to get started and find it difficult to make the business case to their leadership. In this research report, created by GovLoop in partnership with IBM, which provides innovative technology solutions for national security and military intelligence, you’re going to learn where your peers stand—and some practical tips on how to get started—even if you think your data is “dirty” or not ready for advanced applications.
US ground forces handle massive amounts of information and data while working under unpredictable conditions. These conditions don’t always allow military intelligence analysts access to a technologically reliable way to share information. AI can help develop a comprehensive intelligence picture and a true sense of cognitive situational understanding (CSU). These technologies can help analyze the massive amounts of data the military receives. And because AI programs are constantly adding new capabilities and tools, they can help the military prepare for the battlefield of the future. Read how.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
Mention artificial intelligence (AI) to a person on the street, and you'll conjure up Hollywood visions ranging from the humanity-crushing Skynet of the Terminator series to the robot love interests in Her or Ex Machina. Perspectives on the tangible impact of AI similarly range from Elon Musk's declaration of AI as "the greatest risk we face as a civilization" to IBM Chief Science Officer Dr. Guruduth Banavar's belief that "we've never known technology that can have a greater benefit to all of society than artificial intelligence". The reality, especially in the short term, likely lies somewhere between these extremes.
The Cisco UCS solution provides all management and configuration services at the centrally located Fabric Interconnects, so you can manage large-scale deployments from a single location. This method lets you consolidate hardware and streamline management. The IBM Flex System solution uses a distributed management model with chassis-level control. This method adds to the complexity to the hardware configuration, which can increase management needs.