digital learning

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Published By: Box     Published Date: Jun 22, 2018
• 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.
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Box
Published By: CyberSource EMEA     Published Date: Jun 28, 2018
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
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CyberSource EMEA
Published By: IBM     Published Date: Jul 05, 2018
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
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IBM
Published By: Entrust Datacard     Published Date: Mar 20, 2017
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
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Entrust Datacard
Published By: Lenovo     Published Date: Apr 28, 2017
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.
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lenovo, digital district, digital learning, classroom technology, digital classroom, learning opportunities, digital district leadership, student engagement, classroom resources
    
Lenovo
Published By: Lenovo     Published Date: Apr 28, 2017
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.
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lenovo, digital classroom, classroom technology, diverse needs, classroom management, education
    
Lenovo
Published By: SAP     Published Date: Apr 03, 2017
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
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collaboration, hcm, cloud, digital transformation, employee engagement, transformational learning, learning, content
    
SAP
Published By: IBM     Published Date: Mar 28, 2018
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 ground up
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IBM
Published By: Adobe     Published Date: Oct 29, 2015
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning, mobile computing, elearning, customer experience/engagement, mobile marketing
    
Adobe
Published By: Adobe     Published Date: Feb 09, 2016
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning, customer experience management, elearning, customer experience/engagement, mobile marketing
    
Adobe
Published By: Adobe     Published Date: Feb 09, 2016
This white paper explains how training apps are emerging as an important component of any organisation’s ongoing digital transformation.
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corporate training apps, mobility, mobile, mobile learning, training, digital training, e-learning, elearning, customer experience/engagement, mobile marketing
    
Adobe
Published By: Adobe     Published Date: Jun 01, 2016
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.
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education, mobility, mobile applications, apps, course apps, mobile applications, interactivity, apps for education, digital learning, online learning, mobile computing, mobile data systems, mobile workers, elearning, customer experience/engagement, virtualization, cloud computing
    
Adobe
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
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Dell EMC
Published By: Pegasystems     Published Date: May 02, 2016
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.
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pegasystems, digital transformation, analytics, mobile marketing, social media, digitisation, smart phones, best practices, business analytics, marketing automation, analytical applications, collaborative commerce, customer experience management, business technology, web analytics, customer experience/engagement, market research, social media marketing, data management/analytics
    
Pegasystems
Published By: CA Technologies     Published Date: Jul 20, 2017
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.
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CA Technologies
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: • Learner-centric • Micro/modular • Varied treatments • Retention-driven • Embedded • Mobile Download “Millennial Learning Myths and Misconceptions Prescriptions for a Modern Learning Strategy” for tips for enabling modern learning at your organization.
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learning, engagement, millennials, learning and development, knowledge management
    
Skillsoft
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).
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gen y, l&d, millenial employees, generation y, l&d in a digital landscape, learning and development, social media
    
Lumesse
Published By: Schneider Electric     Published Date: Apr 20, 2018
This paper explains how seven trends are defining monitoring service requirements and how this will lead to improvements in data center operations and maintenance.
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digital remote monitoring, big data, machine learning, data center
    
Schneider Electric
Published By: Fiserv     Published Date: Nov 09, 2017
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.
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kyc, know your customer, beneficial ownership, financial crime, financial crimes, compliance, enhanced due diligence, suspicious activity report, currency transaction report, aml directive, anti-money laundering laws
    
Fiserv
Published By: Fiserv     Published Date: Jan 16, 2018
For the past decade, financial institutions have created sophisticated digital platforms for consumers to access, save, share and interact with their financial accounts. As sophisticated as these digital platforms have become, cyber criminals continue to pose an ever-present risk for everyone – from individual consumers to large corporations In his recent article, 2018 Outlook: Customer Experience and Security Strike a Balance, Andrew Davies, vice president of global market strategy for Fiserv’s Financial Crime Risk Management division, explains how and why security will become a key differentiator for financial institutions as they respond to a changing landscape, which includes: •Global payment initiatives •Open Banking standards •Artificial intelligence and machine learning •Consumer demand for real-time fraud prevention and detection
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2018 trends, aml trends, money laundering trends
    
Fiserv
Published By: Blackboard     Published Date: Jan 24, 2017
This infographic explores the 7 things students look for in a university and how tech can help.
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learning technology, tech for education, education, digital learning, tech, smart phones, wireless communications, elearning
    
Blackboard
Published By: Blackboard     Published Date: Jan 24, 2017
This video reveals the 7 great ways universities are using learning technology and pushing themselves up the rankings.
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learning technology, tech for education, education, mobile apps, analytics tools, digital learning, mobile computing, smart phones, wireless communications, wireless messaging, elearning
    
Blackboard
Published By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
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cio, finance, digital, manufacturing, enterprise, enterprise applications
    
Infor
Published By: Infor     Published Date: Mar 03, 2017
Analysts and industry experts agree: Digital disruption in manufacturing is on the horizon. Technologies like the Internet of Things, dynamic enterprise management, global supply chain visibility, and machine learning are already changing the way manufacturers produce goods and interact with customers. Further changes will continue to intensify issues and reveal opportunities.
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cfo, finance, digital, manufacturing, enterprise, enterprise applications
    
Infor
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
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