Cities are changing at a pace never before possible, bringing
smart features online daily. But smart features don’t equal
smart cities. That’s why aspiring smart cities are shifting from
siloes of smart features to a more holistic approach that
connects and makes sense of all people and things. This
shift demands technology solutions that are edge-centric,
cloud-enabled and data-driven, able to deliver citizen-centric
outcomes now and into the future.
Published By: Cisco EMEA
Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
Organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments.
As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about security of
data, systems, and services in the cloud. To cope with new security challenges, security teams are forced to reassess their security posture and strategies as traditional security tools are often not suited for the challenges of dynamic, virtual and distributed cloud environments. This technology challenge is only exacerbated by the dramatic shortage of skilled cybersecurity professionals.
When Barracuda first engaged with Rohde & Schwarz Cybersecurity in 2007, enterprises were more concerned about the unauthorized use of Skype, other P2P applications and instant messaging. Although the need for application control and awareness remains, enterprise concerns are shifting to securing enterprise applications hosted in private and public clouds, protecting east-west data center traffic and preventing unwanted traffic and malware on the corporate network.
Enterprises are rapidly embracing cloud services to speed innovation and drive cost savings. The most innovative IT organizations in these enterprises are shifting to software-defined “virtual data centers” that connect, aggregate, and configure public and private computing resources in unprecedented ways. These IT organizations use open private cloud infrastructure within a corporate data center or at a hosting site (managed cloud services) in conjunction with public cloud services to meet all their business requirements.
This is arguably the most unsettling time in history to be a CIO. The IT landscape is shifting at a rapid pace with advances in social media, mobility and big data. The proliferation of advanced robotics is just around the corner and the Internet of Things is connecting even the most mundane objects to the internet—and probably the corporate network. Back in the 1990s, most computer hackers were interested in gaining access to networks purely for kudos among their peers. Today hackers have monetized their skills and make their living from finding vulnerabilities in IT networks.
Published By: MobileIron
Published Date: Feb 08, 2017
Enterprise organizations around the world are rapidly shifting their corporate apps and data to the cloud to drive IT efficiency and expand employee access to business processes. This applies not only to productivity suites like Microsoft Office 365, but also to enterprise mobility management (EMM) solutions like MobileIron.
According to Gartner, "supply chain leaders responsible for quality management are shifting to software solutions that standardize processes, optimize data and ensure compliance. This research provides guidance for structuring a process for QMS software selection."
Download this Gartner Analyst Guide to learn:
Key challenges in the QMS software selection processes
What to expect from different QMS solutions across the market
Analysis of the current state of quality management to help define software requirements
Self assessment questions and commonly sought QMS system functionalities to use in your decision making process
For organizations with disaster recovery services in place, the challenge often lies in supporting the ongoing maintenance and
re-evaluating the initial investment versus newer offerings as their environment continues to expand, or leases expire.
Fortunately, the landscape of disaster recovery solutions is shifting to accommodate changing IT needs. VMware vCloud® Air™ Disaster Recovery provides simple, affordable, automated processes for replicating and recovering critical applications and data — at a fraction of the cost of duplicating infrastructure or maintaining
additional data centers. Organizations can afford to scale their efforts as needed, with flexible terms and resource options.
Published By: Teradata
Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs.
This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
Published By: Flexential
Published Date: Jul 17, 2019
In a data environment that’s become increasingly centralized by public cloud services, the “edge” is emerging as a critical solution for reducing latency for network-based services. Consumption habits of services and the need for analytics are shifting beyond core population centers, becoming local and even hyper-local within a region or city. As the online population continues to grow and new services emerge, the ability to handle data traffic securely – close to the customer or application – will become a common pattern for the new service evolution.
Data center requirements are shifting as the business environment evolves to leverage new technologies. Organizations are turning to multicloud environments comprising a mix of private cloud, public cloud, and on-premise infrastructure to best address their unique needs. Understandably, this shift is putting a renewed emphasis on security, automation, orchestration, and agility. IT leaders are responding by building and deploying multicloud data center networks that leverage automation and software-defined networks (SDN) as a cost effective means of providing dynamic network control.
Of course, while many organizations are recognizing the need for a data center upgrade, not all have the same drivers. All, however, need to make a business case for the investment. Here are four common inflection points that can help you to justify the need for data center upgrades that support business goals.
Cloud computing has become one of the biggest buzz topics in the modern business world. Many have lauded the cloud as
one of the more transformative technological innovations in recent memory. An increasing number of companies are shifting
their mission-critical data and applications to the cloud as a means of increasing ef?ciency, accessibility, and cost savings.
The benefits landscape is constantly shifting, and it’s hard for brokers and consultants to keep up with the latest best practices. The key to making great recommendations? Great data. In this whitepaper, you’ll discover:
• How a data solution can offer actionable insights in just 1 hour a week
• The advantages of a data platform for serving the entire book of business
• How more brokers and consultants acknowledge data as a competitive advantage
Published By: Riverbed
Published Date: Jul 22, 2015
As enterprise computing has evolved, businesses have been shifting to a “hybrid enterprise” where core applications and data can be located in private data centers and public clouds. The growth of hybrid cloud deployments accelerated the transition to hybrid wide-area networks (WANs). Private networks, such as MPLS, are being joined by Internet connections that offer a choice in delivery
channels—costly, but predictable, networks for mission-critical loads and cheaper public networks for bulk loads such as data backups.
Published By: QlikTech
Published Date: Aug 27, 2013
The Tectonic Plates are shifting in the BI software market - The promise of business intelligence software is to enable decision makers at all level in an organization to leverage data for business advantage - to explore data, draw insights and meaningful conclusions, and make better decisions. This research paper shows how the QlikView Business Discovery Platform delivers true self-service BI that empowers business users by driving innovative decision-making.
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line.
Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyone’s workflow — from the marketing department to the executive team.
To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset.
74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
Whether you’re scanning products, medicine, parts or shipping labels, your data capture needs are dramatically shifting. Traceability demands more data in smaller spaces; mobile payments are on the rise; scanning multiple barcodes consumes valuable time, and there’s less tolerance for inefficiency – capabilities only imaging technology can ful?ll.
Published By: Microsoft
Published Date: Jul 20, 2018
Microsoft commissioned Forrester Consulting to conduct a Total Economic
Impact™ (TEI) study to examine the potential return on investment (ROI)
enterprises may realize by shifting some or all their management and
operations from on-premises, hosted, and outsourced implementations to
Azure’s infrastructure-as-a-service (IaaS) offering. The purpose of this
study is to give readers a framework to evaluate the potential financial
impact, or ROI, of leveraging Azure IaaS for their organizations. Benefits
gained by interviewed customers that migrated or re-architected some or
all workloads from on-premises to IaaS include:
› Greater revenue opportunities from business-to-business (B2B) and
customer web channels with a solution that is more mobile and reliable,
and meets scale and seasonality needs.
› Increased profits from those revenues.
› Improved production efficiency.
› Reduced datacenter, IT resource, and outsourcing costs.
› Easier and faster software and hardware management (such as
In today's business environment, organizations of all sizes are struggling to maintain the advanced IT capabilities they need to be competitive while reining in cost and complexity. Shifting to off-premise hosted models, such as software-as-a-service (SaaS) and business process outsourcing, is a common activity undertaken to manage costs.
One of the main challenges businesses face in adopting cloud and SaaS delivery models is the task of synchronizing data and integrating the multitude of systems already in datacenters with new cloud-based applications, not to mention within the cloud itself. Traditionally, this required organizations to leverage existing tools as well as custom development.
This white paper looks at how two enterprises encountered problems with cloud integration and adopted IBM WebSphere Cast Iron to solve their immediate problems and extend use more broadly across their organizations.
Published By: Lumension
Published Date: Jun 05, 2015
Lumension’s fourth-annual survey on data protection maturity highlights the threats, responses, policies, and technologies of a shifting data security landscape. It also reveals how organizations have made progress—and where they may still be at risk.
With decisions riding on the timeliness and quality of analytics, business stakeholders are
less patient with delays in the development of new applications that provide reports, analysis,
and access to diverse data itself. Executives, managers, and frontline personnel fear that
decisions based on old and incomplete data or formulated using slow, outmoded, and limited
reporting functionality will be bad decisions. A deficient information supply chain hinders quick
responses to shifting situations and increases exposure to financial and regulatory risk—putting
a business at a competitive disadvantage. Stakeholders are demanding better access to data,
faster development of business intelligence (BI) and analytics applications, and agile solutions in
sync with requirements.
This commissioned study conducted by Forrester Consulting evaluates the state of enterprises’ data privacy compliance in a shifting regulatory landscape. The survey of 218 global enterprise decision makers with responsibility over privacy or data protection analyzed how they are evolving to meet the heightened data protection and privacy expectations of legislators and consumers, along with the benefits they can expect from a holistic data privacy approach.
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