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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
    
Adobe
Published By: Cisco     Published Date: Oct 08, 2018
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.
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encrypted traffic, digital business, security, network, network visibility, next generation firewall, digital transformation, advanced malware protection
    
Cisco
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
    
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
    
Skillsoft
Published By: TIBCO Software     Published Date: Aug 15, 2018
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.
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TIBCO Software
Published By: Splunk     Published Date: Aug 17, 2018
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
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Splunk
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 2019
Have you ever wished for an army of clones to do all your thankless tasks and chores? Well, that fantasy is becoming a reality—at least on the Internet. And while they may not be actual clones, bots have begun doing lots of digital dirty work. Managing your relationship with bots—good and bad—has become an inherent part of doing business in a connected world. With more than half of online traffic initiated by autonomous programs, it’s clear that bots are a driving force of technological change, and they’re here to stay. As bot technology, machine learning, and AI continue to evolve, so will the threats they pose. And while some bots are good, many are malicious—and the cybercriminals behind them are targeting your apps. Preparing your organization to deal with the impact of bots on your business is essential to developing a sustainable strategy that will enable you to grow as you adapt to the new bot-enabled world.
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F5 Networks Singapore Pte Ltd
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: 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: PwC     Published Date: Jun 20, 2018
Digital Fitness Assessment 2.0 is here. The time to upskill is now. Let’s face it--every industry is being disrupted. To stay profitable and lead the way, it’s critical to be deliberate about making sure your employees have the skills they’ll need to take you there. The Digital Fitness Assessment will help your employees build their future through a custom experience that targets specific skills and behaviors to each employee. Get a demo here. [Please confirm link works and is tracked] What if you could give every employee a blueprint for tomorrow's most-needed skills? Your people know they need new skills--and most are eager to get them. But, what most companies offer is, well, standardized. That can make it boring and not applicable. To stand out and bring your workforce into the future, you need a creative, personal--and even enjoyable--learning experience. The Digital Fitness Assessment will help your employees build their future. Get a demo here. [Please confirm link works and is
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PwC
Published By: Workday APAC     Published Date: May 08, 2019
As your organization’s finance leader, the opportunity to better understand the landscape and your business has never been greater. Advances in analytics—powered by digital technologies, such as automation and machine learning—give finance teams deeper business insights. Read the story.
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Workday APAC
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
    
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
    
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
    
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
    
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
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
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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Group M_IBM Q2'19
Published By: Brightcove     Published Date: Sep 17, 2014
Salesforce ExactTarget Marketing Cloud, a digital marketing company, adopted Brightcove’s Video Cloud to manage the development and publication of video content to its Web site through a custom video portal to increase user engagement and increase the amount of time users spend learning about the brand. Nucleus found that using Brightcove enabled ExactTarget Marketing Cloud to better leverage its online video presence to increase its engagement with users and more effectively manage its digital brand.
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digital marketing, video content, online video presence, custom video portal, emerging marketing
    
Brightcove
Published By: VMware     Published Date: Jun 04, 2019
What started as “digital” transformation has blossomed into a trend that’s driving organizations to become “digital businesses.” Using emerging technologies like analytics, machine learning, and an on-demand approach to delivering IT services, many organizations are moving to a cloud model to implement this transformation. Organizations that leverage the cloud can accelerate product development, speed innovation, and empower workers to be more productive.
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VMware
Published By: Fiserv     Published Date: Mar 02, 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
Tags : 
cyber crime, financial crime, financial security, customer experience, financial crime risk management, global payments, open banking standards, artificial intelligence, machine learning, fraud prevention, fraud detection
    
Fiserv
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