Colocation facilities are rapidly designing and building new facilities in order to capitalize on market opportunity. Getting the facility up and running is the first challenge. The second? Recruiting, training, and retaining qualified data center staff. In this webinar, co-hosted by Tony DeSpirito, VP & General Manager Data Center Operations at Schneider Electric, & Brian Gisi, Infrastructure Management & Services Manager at IBM, to access field-tested methods & strategies that can help you:
1. Overcome the worldwide shortage of experienced data center professionals
2. Understand how out-tasking data center operations can benefit you & your clients
3. Identify key characteristics of a strong data center operations partner
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.
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
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.
In Forrester's evaluation of the emerging market for conversational computing platforms, we identified the seven most significant providers — Amazon, Google, IBM, Microsoft, Nuance Communications, Oracle, and Rulai — in the category and evaluated them. This report details our findings about how each vendor scored against nine criteria and where they stand in relation to each other. Application developers should use this review to select the right partners for their conversational computing platform needs.
Delivering personalized customer experience remains the top business challenge for communications
service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP
IT executives interviewed identify delivering personalized customer experience as one of their three
most important business challenges for the next 18 months. This trend emphasizes the high priority
CSPs place on how customer relationships are managed. However, several factors have an impact on
CSPs' ability to identify and then deliver customers' core needs. These include understanding the data
sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the
right expertise to mine the data sets.
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.
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.
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."
In our always-on, always-connected world, healthcare consumers expect instant access to customer service, not just from 9 AM to 5 PM. It’s often no longer good enough for health plans to staff call centers during standard business hours. Members today typically want to be able to log in and help themselves to the answers they need from self-service channels whenever they want — and they want the experience to be highly personal.
One contact center benchmark study (see next page) revealed self-service channels can be a win-win for both businesses and consumers.1 When done well, self-service solutions can help businesses improve customer satisfaction while reducing costs. And consumers appreciate the convenience of getting answers quickly and efficiently.
The Ohio State University Health Plan manages healthcare insurance benefits and wellness resources for the university’s 29,000 employees, as well as their spouses and dependents. The Ohio State University is one of the nation’s top 20 public universities, and its Wexner Medical Center ranked #3 among 104 academic medical centers that were included in the 2014 University Health System Consortium Quality and Accountability Study. The health plan, medical center and university work together to help deliver safe, efficient, patient centered care to its members.
However, big data and analytics solutions can have shortcomings. Proprietary and best-of-breed approaches can require valuable time and resources to build, integrate and maintain — while outsourcing data analytics can constrain reporting frequency and timeliness. In a world where operational efficiency and fast, reliable information is paramount, these limitations can put payers at a competitive disadvantage.
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.