Virtualization is rapidly changing the way business IT operates, from small local businesses to multinational corporations. If you are reading this, chances are good that your company is already taking advantage of virtualization’s benefits.
Virtualization means that a single underlying piece of hardware, such as a server, runs multiple guest operating systems to create virtual machines, or VMs, with each of them being oblivious to the others. An administrative application, such as VMware, manages the sharing process, allocating hardware resources, memory, and CPU time to each VM as needed. And all applications look at this software construct exactly as if it were a real, physical server — even the VM thinks it’s a real server!
Virtualization makes good financial sense. It enables a single server to offer multiple capabilities that otherwise would require separate servers. It includes native high availability features, so you don’t have to use any more complex clustering tools. This ab
Published By: Cognizant
Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
Published By: Mitutoyo
Published Date: Aug 24, 2018
Today’s factory intelligence is the collaborative orchestration of people and machines. By blending intelligence from multiple sources, factories are truly becoming smarter. But it’s not just about the machines. Rather, people are improving machines through a true partnership that turns human experience into smarter machines.
This shift marks a re?orientation to a thought process that’s more natural to people.
After decades of working with 2D blueprints, designs and dimensioned drawings, factory intelligence leverages 3D models that are easier for people to comprehend and use. Plus, many people find more satisfaction in intelligent factory work that challenges them to manage relationships among machines, rather than repeatedly working on a single piece in a line. In smarter factories, people direct machines to adjust for shifting customer requirements and market demands.
A&D manufacturers and their suppliers now depend more than ever on global supply chains. As they reach across time zones, languages and cultures, supply chains have to work around challenges that build up costs and drag down production schedules. Communication between distributed engineering and production centers can be labored and error-prone. These problems are often compounded by repetitive programming, incomplete simulations, time-intensive production methods, and concern that the shop floor may not be working with current data. Ideally, global companies should be able to design products at any location and produce them at selected sites, with all stakeholders from design to the shop floor working concurrently from a single unique global data source.
Understand how manufacturing companies can deliver machined parts faster and increase revenue by reducing costs – despite operating globally across time zones and cultures.
The momentum of cloud adoption continues to grow for virtualized
workloads. This year’s survey showed that 41% of respondents are
now running virtual machines (VMs) in the cloud, up from 31% only a
year ago. Furthermore, 90% of respondents are currently running, or
plan to run, VMs in the cloud in this year, indicating a strong trend
towards moving virtual workloads to the cloud. The majority of
respondents (59%) plan to leverage AWS for these workloads, with
25% of those planning to use VMware Cloud (VMC) on AWS.
By processing real-time data from machine sensors using artificial intelligence and machine learning, it’s possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
Read about our top data science best practices for becoming a smart manufacturer.
Over the past few decades, technology has advanced by leaps and bounds, altering how we live and work. As machines take over certain jobs for safety or improved accuracy, some are concerned that technology will eventually replace people. But as businesses incorporate machines and technology deeper into workplaces, it is evident that a mindset shift needs to occur. The working world must find ways to incorporate technology so that people do what people do best, while allowing computers to do what computers do best. It’s time to think differently about technology. It’s time to make technology part of the team.
To download this white paper, please complete the following form.
Published By: IBM APAC
Published Date: Oct 16, 2018
The latest IBM POWER9 Server is built for the most demanding, data-intensive, computing on earth with an enhanced core and chip architecture. It provides scalability and flexibility to handle changing customer needs while being cloud-ready with industry-leading reliability and performance.
The POWER9 Systems server family has servers that are available for different workloads, IT environments or budget. You can choose from an array of server options that include:
- POWER9 for Enterprise – scale-up
- POWER9 for AIX & IBM I – scale-out
- POWER9 for Linux
- POWER9 for SAP HANA
- POWER9 for Enterprise AI, Deep Learning & Machine Learning
Find out more about these servers to meet the business needs of tomorrow.
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible:
• Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds.
• Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds.
• Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes.
• Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
The Industrial Machinery industry is changing slower than it ever will and faster than it ever has. And customer demands are evolving at speeds never seen before. For companies serious about innovating at scale and transforming their business in order to dominate their market, it will take innovative thinking, disruptive technology and near flawless execution. This challenge, perhaps best described as the perfect blend of art and science, is more than achievable, but only if you have the right partner. Which is why we want you to meet Leonardo, by SAP. SAP Leonardo is a digital innovation system that enables organizations of all sizes to transform at scale with minimal risk and disruption. SAP Leonardo brings new technologies and services together to help businesses power their digital transformation. SAP Leonardo proves that truly transformative and sustainable innovation happens when technology, people, and data are combined.
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.
• Facing a myriad of challenges from digital transformation, business today are making big bets on the best collaboration tools they need on hand to meet those challenges. From employee buy-in, to machine-learning capabilities, to security, it's important to select a service with the right capabilities to further your business goals. The challenge, however, is that with so many services to choose from it can be difficult to figure out which one is the right fit for your business.
• This eBook, 5 Considerations in Choosing a Collaboration Platform in the Digital Age, will walk you through the ins and outs of what to keep in mind as you choose the best collaboration platform for you.
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads.
Download this white paper to learn how you can get the most from your storage environment.
Today’s idea-driven economy calls for a simpler, faster virtualization solution—one that can be managed by one IT generalist vs. numerous IT specialists. Enter HPE Hyper Converged 380, an advanced, virtualized system from Hewlett Packard Enterprise. Based on the HPE ProLiant DL380 Gen9 Server, this enterprise-grade VM vending machine enables you to quickly deploy VMs, simplify IT operations, and reduce overall costs like no other hyperconverged system available today.
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.
Modern storage arrays can’t compete on price without a range of data reduction
technologies that help reduce the overall total cost of ownership of external
storage. Unfortunately, there is no one single data reduction technology that fits
all data types and we see savings being made with both data deduplication and
compression, depending on the workload. Typically, OLTP-type data (databases)
work well with compression and can achieve between 2:1 and 3:1 reduction,
depending on the data itself. Deduplication works well with large volumes of
repeated data like virtual machines or virtual desktops, where many instances or
images are based off a similar “gold” master.
Business users expect immediate access to data, all the
time and without interruption. But reality does not always
meet expectations. IT leaders must constantly perform
intricate forensic work to unravel the maze of issues that
impact data delivery to applications. This performance
gap between the data and the application creates a
bottleneck that impacts productivity and ultimately
damages a business’ ability to operate effectively.
We term this the “app-data gap.”
"This research by Nimble Storage, a Hewlett Packard Enterprise Company, outlines the top five causes of application delays. The report analyzes more than 12,000 anonymized cases of downtime and slow performance. Read this report and find out:
Top 5 causes of downtime and poor performance across the infrastructure stack
How machine learning and predictive analytics can prevent issues
Steps you can take to boost performance and availability"
Published By: Cisco EMEA
Published Date: Nov 08, 2018
The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes.
ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement.
ESG Lab's expert third party perspective is based on our own hands on testing as well as on interviews with customers who use these products in production environments.
Published By: Dell EMC
Published Date: Oct 13, 2016
Flexibility is important, since many future initiatives—big data, machine learning, emerging technologies, and new business directions—will be built on this cloud structure.
No matter what shape your cloud infrastructure takes, Dell EMC converged and hyper-converged platforms and innovations like Dell EMC VscaleTM Architecture, powered by Intel® Xeon® processors, deliver the pathways to scale-up and scale-out, today and tomorrow.
Published By: Genesys
Published Date: Jun 06, 2017
In this ebook, learn:
- Five trends will have the biggest impact on customer experience
- How to use machine learning to detect patterns and trends to deliver the next great customer experiences
- How to future-proof your contact center and adapt to changing customer needs