The bar for success is rising in higher education. University leaders and IT administrators are aware of the compelling benefits of digital transformation overall—and artificial intelligence (AI) in particular. AI can amplify human capabilities by using machine learning, or deep learning, to convert the fast-growing and plentiful sources of data about all aspects of a university into actionable insights that drive better decisions. But when planning a transformational strategy, these leaders must prioritize operational continuity. It’s critical to protect the everyday activities of learning, research, and administration that rely on the IT infrastructure to consistently deliver data to its applications.
Read this Microsoft case study about how Microsoft's Consumer Support Services - with its global network of support centers and thousands of agents - used digital motivation to drive agent performance and learning.
Microsoft wanted new ways to recognize and reward agents while increasing their productivity. The
focus was to change behaviors, develop skills, encourage sales, and drive outcomes.
Microsoft identi?ed gami?cation as a solution to these needs. The company believed it could be more successful at encouraging and recognizing agents for positive outcomes through each customer interaction. Read the case study to learn how Microsoft:
Increased productivity through gamification
Drove agent performance with rewards, to change behaviors and business outcomes
Improved agent knowledge and ability to apply the new information learned.
How to drive employee motivation and
learning with gamification and feedback
Digital engagement provides an exciting new way of breaking away from old paradigms to generate
motivation, proficiency and engagement.
In this white paper we will:
* Provide ways to rethink call center agent motivation by using techniques like feedback, competition, adaptive learning and goals.
* Take a look at what digital motivation looks like in the contact center from the point of view of a call center agent and his manager
Using gamification can do much more than drive quality and performance. It also provides agents with much needed engagement, transparency, feedback and optimal use of best practices training.
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
• 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.
Be ready for digital learning today, and tomorrow.
Building efficient, impactful, future-ready districts takes planning. Our checklist, Digital District Leadership in Five Steps, helps you get started by asking the questions needed to identify new learning opportunities supported by technology.
• How can new content engage students?
• How robust is your network?
• Do you have the right technology resources across classrooms?
Let’s get started now. Download this checklist.
Teachers face ever-increasing pressure over the integration of technology into both daily classroom management and long-term instructional strategies. Add to these demands the increasing complexity of digital learning environments.
Luckily, the right technology can go a long way toward the goal of meeting diverse needs with simplicity, helping empower teachers.
Download this guide to learn more.
Explore this e-book to find out how blending formal and informal learning via collaboration can help your organization in the following areas:
Overcoming the Economics of Learning
Creating a Culture of Learning
Enhancing Employee Engagement
The global electronics industry is the cornerstone of
the digital economy and the Internet of Things (IoT).
Electronic devices act as conduits for users’ digital
experiences, which are now seamlessly enabled and
updated in the cloud. The industry’s digital device
success has also introduced its latest challenge: going
beyond the device. Leveraging data to drive insights is
key to delivering greater value. Doing so requires
electronics firms to flawlessly integrate hardware,
software, services and data while learning from and
adapting to users. Through Digital ReinventionTM, they
can combine digital approaches and data by design to
drive new capabilities, changing business from the
Whether you know it as Industry 4.0, the 4th Industrial Revolution, or Smart Industry, Manufacturing is going through a deep transformation, with changes that are centered around digitalization. While most industries are already on this digitalization path, the disruption is more visible and pronounced in manufacturing because it is expanding virtual data and processes into environments that have been fundamentally about physical products. This transformation has already started, and its impact is expected to be massive. Technical, economic, and social changes are expected across the whole manufacturing ecosystem, with jobs shifting from offshoring back to nearshoring. Strong technology elements driving this digital revolution include 3D printing, robotizing and automation, smart factory with IoT and machine learning, and supply chain digitization. Their impact is profound.
This report explores the evolution of the key features of course apps mobility, interactivity, engaging design, and integrated analytics — and showcase how course apps are sparking new thinking in higher education about the next iteration of digital learning resources.
Detect attacks that get past perimeter defenses across the digital business. Detect malicious patterns in encrypted traffic. No decryption is needed with our Encrypted Traffic Analytics technology and multilayer machine learning. Extend your network visibility.
Published By: Dell EMC
Published Date: Aug 22, 2017
By 2020 the digital universe – the data we create and manage annually – will reach 44 zettabytes, or 44 trillion gigabytes! 1 This growth has ushered in a new era of big data, and introduces challenges and opportunities to small and medium businesses trying to economically make sense of it. On the upside, more data means more opportunity for businesses (and consumers) to use data in new ways – learning more about customers, speeding business cycles, and improving the efficacy of business workflows
This report, sponsored by Accenture and Pegasystems, explores how companies are managing their digital transformation initiatives, their goals, drivers and challenges, and how they are boosting their digital capabilities.
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
Published By: Skillsoft
Published Date: Dec 06, 2016
Millennials are the first true “digital natives,” and because of this, they are often associated with driving new work practices and expectations. However, it is actually the ubiquity of technology, the accelerated pace of work and our consumer experiences that are driving new work practices, not millennials. New research tells us that to be engaging, L&D teams need to focus on modern learning rather than millennials.The formula for modern learning is:
• Varied treatments
Download “Millennial Learning Myths and Misconceptions Prescriptions for a Modern Learning Strategy” for tips for enabling modern learning at your organization.
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.
he digital transformation era has left organizations uncertain about how to best use all their newly generated data to foster growth and edge out the competition. This has led to the development of a new set of smart technologies to enhance an organizations’ ability to parse through extensive troves of data to find new insights.
Download your complimentary copy of “AI and Machine Learning in Your Organization” to avoid missing out on valuable business insights.
You’ll learn about:
*The critical role AI and machine learning play in finding answers
*How data is the fuel for your machine learning and AI-powered initiatives
*The ways in which AI and machine learning are being applied today to bolster IT operations and security
It has to be quick and easy for people to pay. At the same time, fraudsters are probing the weaknesses of new digital processes.
As the person who can decide whether a transaction is accepted or rejected, fraud managers have a pivotal role. They’re not just preventing losses from chargebacks. They’re gatekeepers to accepting more revenue. It’s a complex job. But get it right, and they enable their business to engage customers better – across devices and places. And that can mean supporting the very growth of the business. In this landscape, the idea that a technology like machine learning might be the answer to all the industry’s needs is attractive. But while machine learning should be a key part of an effective fraud strategy, the truth is that there’s no silver bullet. So, in this paper, we’ll look at how best to put machine learning to use. By employing it in tandem with expert insight, merchants can use it to accept the optimal number of payments. And make a direct impact on the
Published By: Lumesse
Published Date: Feb 13, 2015
This White Paper provides information on how Technological advance is powering a motivational disconnect between what Gen Y/Millenial employees can achieve when it comes to learning and development (L&D).
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.