Published By: Gigamon
Published Date: Mar 26, 2019
Read this ESG research brief to learn how to improve visibility across distributed computing environments without increasing staff or tools. Download “The Importance of a Common Distributed Data Services Layer” to learn why ensuring visibility in a distributed network environment is crucial and how a common distributed data services layer to collect, process and share data ensures that network operations teams are able to provide better digital experiences, mitigate risk and respond to changing environments.
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.
IBM Cloud Private for Data is an
integrated data science, data engineering
and app building platform built on top of
IBM Cloud Private (ICP). The latter is intended
to a) provide all the benefits of cloud
computing but inside your firewall and b)
provide a stepping-stone, should you want
one, to broader (public) cloud deployments.
Further, ICP has a micro-services architecture,
which has additional benefits, which we
will discuss. Going beyond this, ICP for Data
itself is intended to provide an environment
that will make it easier to implement datadriven processes and operations and, more
particularly, to support both the development
of AI and machine learning capabilities, and
their deployment. This last point is important
because there can easily be a disconnect
between data scientists (who often work for
business departments) and the people (usually
IT) who need to operationalise the work of
those data scientists
As data science becomes a critical capability for companies, IT leaders are finding themselves responsible for enabling data science teams with infrastructure and tooling. But data science is much more like an experimental research organization than the engineering and business teams that IT organizations support today. Compounding the challenge, data science teams are growing fast, often by 100% a year. This guide will quickly help you understand what data science teams do to build their predictive models and how to best support them.
Learn how to modernize IT’s approach to ensure your company’s data science teams perform their best, and maximize impact to the business. Some highlights include:
Why data science should not be treated like engineering.
How to go beyond simple infrastructure allocation and give data science teams capabilities to manage their workflows and model lifecycle.
Why agility and special hardware to support burst computing are so important to data science break
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.
This white paper is a business briefing for C-Level Executives on how integrating a range of technologies - including unified communications, service oriented architecture, virtualization and cloud computing - can transform the productivity and profitability of large enterprises.
This year, businesses will increasingly turn to AI to power their business transformation. Machine learning and deep learning workloads are quickly becoming a mission-critical workload in the enterprise data center. As an IT leader, are you ready for the impending wave of AI applications that will demand new approaches to computing, storage and networking? Do you have the right strategy for scaling AI workload in your data center? We’ll introduce you to the IT visionaries who have made it happen. In this webinar we’ll explore how one IT leader accelerated his company’s success with an AI infrastructure strategy, sharing their best practices and insights.
By watching this webinar, you'll learn:
- Why it’s now critical for enterprise IT to have an AI infrastructure strategy that supports the business
- Explore one IT leader’s experience developing and implementing a best-of-breed platform for scaling AI workload in the data center
- Gain insights that can drive your AI infrastructur
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
Published By: Cisco EMEA
Published Date: Nov 13, 2017
Using your allotted resources wisely is admirable. However, have you thought in detail about the real costs associated with using “white box” servers? The Cisco Unified Computing System™ (Cisco UCS®) delivers advantages, including a lower total cost of ownership (TCO), beyond those that white-box servers can deliver.
The widespread use of mobile devices — smartphones and tablets — provides anytime, anywhere computing and communications resources for individuals worldwide. Both smartphones and tablets have made the transition from a personal resource, acquired and supported by consumers, to a professional resource, provided and supported by employers. For midsize firms around the world, those with 100–999 employees, mobile resources play a key role in improving workplace productivity as well as allowing greater flexibility in how and where work is done.
New collaboration resources also allow staff in different locations to work together as efficiently and effectively as staff in the same office. The challenge for IT management is how best to coordinate the different collaborative and mobile resources and provide secure management of mobile devices and collaboration tools while enhancing workforce agility and productivity.
In this era of digital disruption, businesses must be more agile to capture opportunities. Many viewed cloud computing technology as the way to do this, promising to address agility, scalability, and cost. But in moving to the cloud, many found that its security, compliance, and performance did not fully meet their needs. Additionally, previous common thought was public cloud is less expensive than private cloud. We now know that is not true in all cases. Savvy businesses realise hybrid IT, which includes both offpremises and on-premises services, enables better agility. After initial experience with public cloud offerings, businesses learned that many workloads are best hosted onpremises, primarily due to security, compliance, performance, control, and cost issues.
Im heutigen Zeitalter bahnbrechender digitaler Neuerungen müssen Unternehmen agiler handeln, um Geschäftschancen nutzen zu können. Viele haben dabei auf die Cloud Computing-Technologie gesetzt, da sie darauf ausgerichtet ist, die Agilität zu verbessern, die Skalierbarkeit zu steigern und die Kosten zu senken. Bei der Umstellung auf die Cloud mussten viele Unternehmen aber feststellen, dass das damit verbundene Maß an Sicherheit, Compliance und Leistung ihren Anforderungen nicht in vollem Umfang gerecht wird. Bisher war man zudem allgemein der Meinung, dass eine Public Cloud kostengünstiger als eine Private Cloud ist. Heute wissen wir, dass dies nicht in allen Fällen zutrifft. Kluge Unternehmen haben erkannt, dass Hybrid IT, die sowohl externe als auch lokale Services umfasst, mehr Agilität ermöglicht.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Cloud computing is rapidly entering an entirely new phase – one destined to prove far more transformative and disruptive than the initial phase of cloud deployment. Cloud is driving a comprehensive transformation of digital assets in organizations of all stripes as IT decision-makers begin to view the emerging cloud construct as a proxy for the transformation of IT itself.
While there are many security concerns in the cloud, this report focuses on 12 specifically related to the shared, on-demand nature of cloud computing. To identify the top concerns, CSA conducted a survey of industry experts to compile professional opinions on the greatest security issues within cloud computing. Download now to learn more.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
Published By: Dell EMC
Published Date: Sep 12, 2016
Cloud computing is transforming IT in terms of how services are delivered, how infrastructure is deployed and managed, and how IT organizations structure themselves. For the purposes of this study, Forrester is defining a cloud solution as having three major characteristics: “self-service access, full automation of processes and policies, and metering and tracking of usage.”1 It then becomes a question of whether you manage your cloud(s) yourself, outsource it, or use a hybrid combination of private and public cloud resources.
Published By: Dell EMC
Published Date: Oct 13, 2016
Dell EMC is the world market leader in converged infrastructure and converged solutions. Through Dell EMC Converged Infrastructure and Solutions Dell EMC accelerates the adoption of converged infrastructure and cloud-based computing models that reduce IT costs while improving time to market. Dell EMC delivers the industry’s only fully integrated and virtualized cloud infrastructure systems, allowing customers to focus on business innovation instead of integrating, validating, and managing IT infrastructure. VCE solutions are available through an extensive partner network.
Despite momentous benefits, cloud computing has its own set of challenges that must be addressed. The primary concern that many enterprises and end users have is related to security, especially data protection and privacy and loss of control. This article discusses the several challenges associated with security for cloud-based video conferencing and how organizations can remove these barriers by adopting solutions that implement security as a key tenet.
Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System™ (Cisco UCS®) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.