Many IT administrators have already learned the hard way that managing the performance and availability of services built on virtualization technologies can be difficult, if not impossible at times. All too often, early adopters of virtualization have struggled with limited technology features and stability constraints, while learning new ways to effectively manage capacity requirements.
This white paper has been designed to offer a comprehensive list of the essential features and functionality needed for a global – external learning management system used to train and certify customers, partners, resellers, etc. and can be used as a comparison checklist for reviewing external/extended enterprise learning management systems.
Published By: Toshiba
Published Date: Oct 22, 2010
When Cincinnati Country Day School opened its doors more than eighty years ago, the
founders envisioned a new way of teaching and learning. Today at CCDS, where every
student from 5th grade thru 12th carries a Toshiba Tablet PC, this unique school continues
to stand out as a prime example of how the right technology in the right hands can
positively transform education.
Published By: Toshiba
Published Date: Oct 22, 2010
At Gannon University in Erie, PA, the fall of 2007 not only brought new students, but also new teaching methods to the renowned Radiologic Sciences program that helped drive new innovation and interactive learning in the classroom, and across the campus. The challenge posed was how to make the Radiologic Sciences program interactive, filmless and eventually paperless.
Published By: Toshiba
Published Date: Oct 22, 2010
Students entering Watauga High School are entering a program designed to propel their learning well beyond the newly formed walls-one that challenged the school's IT team to design the most significant technology implementation in the school's history.
With the recent exhaustion of the IPv4 address space, many organizations are interested in learning more about the migration to IPv6. This document examines the major benefits of IPv6 and the rate of adoption of IPv6 around the world. It also provides an overview of some of the major challenges organizations face with IPv6, and how Fortinet supports IPv6 today.
Published By: Bretford
Published Date: Apr 25, 2011
This white paper outlines the most widely used teaching styles used today and explains how technology is positively influencing the educational system. It will discuss the number of challenges that educators face with the evolution of technology, while ultimately enhancing the overall teaching and learning processes.
Published By: CompTIA
Published Date: May 12, 2015
Managed service providers in the healthcare, infrastructure relocation, and financial service industries, tell their stories of modernization, adaptation, and growth, in this Quick Start Guide to compliance from CompTIA. IT solutions providers are learning all over again about best practices for sharing of customer data and reporting of financial data. But they’re also learning how best to help their clients meet compliance guidelines.
Published By: Nexenta
Published Date: Sep 22, 2011
For service providers, hosting providers, or enterprise IT organizations looking to implement a cloud infrastructure, the knowledge, experience, and best practices gained from previous implementations can help to expedite planning and deployment. This paper outlines a reference architecture for a cloud storage infrastructure that integrates pivotal "scale-out" technologies including NexentaStor* from Nexenta Systems, Inc. The reference architecture presented in this paper can help to reduce the learning curve for building a cost-effective scale-out storage infrastructure.
Today’s smart computers can beat board game champions, master video games, and learn to recognize cats. No wonder artificial intelligence has captured the imaginations of business and IT leaders. And indeed, AI is starting to transform processes in established industries, from retail to financial services to manufacturing. Read this guide from Google Cloud and learn how you can unlock the transformational power of information and get useful insights from a vast and complex landscape of data.
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery.
In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to:
Use AI and ML as the new, necessary approach for testing intelligent applications.
Strategically apply AI and ML to your testing practices.
Identify the tangible benefits of continuous intelligent testing.
Reduce risk while driving test efficiency and improvement.
This webinar offers practical steps to applying AI and ML to your app testing.
The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable.
Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
"The appearance of your reports and dashboards – the actual visual appearance of your data analysis -- is important. An ugly or confusing report may be dismissed, even though it contains valuable insights about your data. Cognos Analytics has a long track record of high quality analytic insight, and now, we added a lot of new capabilities designed to help even novice users quickly and easily produce great-looking and consumable reports you can trust.
Watch this webinar to learn:
• How you can more effectively communicate with data.
• What constitutes an intuitive and highly navigable report
• How take advantage of some of the new capabilities in Cognos Analytics to create reports that are more compelling and understandable in less time.
• Some of the new and exciting capabilities coming to Cognos Analytics in 2018 (hint: more intelligent capabilities with enhancements to Natural Language Processing, data discovery and Machine Learning)."
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
In a connected world content becomes the nucleus of business growth. Oracle provides scalable, secure solutions to help drive an organization’s digitalization efforts maximizing operation automation, machine learning, and cloud services.
Agility and speed are required in the cloud economy. Modernize data warehouses with built-in adaptive machine learning to eliminate manual labor for administrative tasks. With Oracle, businesses can now build data warehouses or data marts in minutes.
The combination of legislation, market dynamics, and increasingly sophisticated risk management strategies requires you to be proactive in detecting risks like fraud quicker and more effectively.
Dynamic detection systems need to adapt to evolving compliance regulations, scale to deal with growing transaction volumes, detect sophisticated risk specific patterns, and reduce false-positives. TIBCO's Risk Management Accelerator uses a combination of predictive analytics, streaming analytics, and business process management to deliver a powerful and cost-effective system for detecting anomalies.
Download this solution brief to learn more.
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS
Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
The focus on employee engagement as a driver of better business results has gotten so much traction it’s spawned an entire category of solutions within the HCM universe. But if you’re a SumTotal client, you already own a tool that has incredible — but often-overlooked — potential for creating an environment in which engagement can not only flourish, but actually be sustained.
It’s all about having content that strategically positions your company, is easy to find, and truly engages your employees to seek opportunities to make a difference and to grow professionally.
To really shape your SumTotal LMS into the effective piece of technology you know it can be — to see it achieve the results you and your leadership team expect it to deliver — you need to be a content architect and have a great content strategy.
Now you can learn the process Bluewater has developed through years of experience helping clients worldwide maximize their SumTotal LMS to drive higher engagement and better business results:
• Mapping out a plan for engagement success
• Understanding the negative effects when you don’t have a content strategy that makes strategic sense for your organization — on employees, leaders, LMS owners, and learning practitioners
• Architecting content for engagement today — and for the road ahead
• Building the framework for a rich content ecosystem where learners feel at home
• Focusing on people, processes, and technology: an approach to content strategy that supports a culture of engagement
It’s all about being ridiculously happy with your SumTotal LMS.
Published By: Genesys
Published Date: Jun 11, 2018
When you can anticipate customer needs, you can provide a customer experience that reduces frustration, increases satisfaction and creates better business results.
Genesys Altocloud uses live analytics, powered by machine learning, to give you real-time insight into the customer experience. You can anticipate customer behavior, personalize journeys and use feedback to continuously tune your analytics to achieve desired business outcomes.
Download the white paper and learn how to make better use of your analytics:
• Automate responses that optimize the journey
• identify and engage with customers before they contact you
• Use predictive analytics and machine learning to drive outcomes
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set:
• Enterprise-class relational database query and management system
• Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools
• Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations