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Published By: BetterUp     Published Date: Dec 05, 2018
BetterUp has been one of the most impactful learning and development solutions Logitech has implemented. By working one-on-one with BetterUp coaches, Logitech managers were equipped to better manage their mindsets and ultimately, have developed into stronger leaders. BetterUp can individually touch employees across your entire organization, regardless of their function, team, and location. Senior Director of Learning & Development at Logitech, Jessica Amortegui says, If you want to significantly increase the impact of your learning and development programs, BetterUp coaching is the way to do it.
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BetterUp
Published By: TIBCO Software     Published Date: Nov 12, 2018
The insurance industry stands on the precipice of change, with waves of innovation and disruption driving new possibilities across all departments, including pricing, underwriting, claims, and fraud. This webinar recording of a live panel debate is ideal for insurance professionals wanting to understand how best to unlock the possibilities created by advanced analytical techniques such as Artificial Intelligence (AI), Machine Learning (ML), and others. This TIBCO and Marketforce webinar on The Fourth Industrial Revolution in Insurance includes speakers Ian Thompson, chief claims officer at Zurich; David Williams, chief underwriting officer at AXA; and Clare Lunn, GI fraud director at LV=. The panel discusses: Moving towards the algorithmic insurer: the opportunities created by AI and ML How insurers can become more agile in the face of new innovations and disruptive technologies How the industry can turn structured and unstructured data into insights
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agile insurance, customer experience, digital initiatives, analytical techniques
    
TIBCO Software
Published By: TIBCO Software     Published Date: Oct 03, 2018
The Insurance industry continues to undergo significant transformation, with new technologies, business models, and competitors entering the market at an increasing rate. To be successful in attracting and retaining the most valuable customers, insurance companies must innovate and increase the speed at which they respond to customer demands. Traditionally, the insurance software market was dominated by a handful of specialist vendors with products that were initially expensive, difficult to deploy, costly to maintain, and did not provide the speed needed for today's market. Now there has been a shift away from these "black box" applications to platforms that allow insurers to make their algorithmic IP available to business users, allowing much faster response to business demands. The algorithmic platform approach also comes at a fraction of the cost of black box solutions, while delivering advanced analytical techniques like Machine Learning and Artificial Intelligence (AI).
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artificial intelligence, machine learning, dynamic pricing, predictive claims, real-time fraud, contextual customer experience, operational effectiveness
    
TIBCO Software
Published By: TIBCO Software     Published Date: Feb 26, 2019
MoneyLIVEs annual survey of over 600 banking professionals found that traditional banks face a significant challenge when it comes to building AI-powered customer journeys. 75% believe that as the use of AI intensifies, banks will struggle to recruit the necessary expertise. 84% fear regulatory and liability issues surrounding AI. Just 7% think their organizations use of AI is highly sophisticated. But for banks to keep pace with challengers and FinTechs, its crucial that they harness this continually evolving technology. Download this chapter of MoneyLIVE's The Future of Retail Banking Report 2018/19 now and understand how TIBCOs Connected Intelligence Platform, with the use of AI and machine learning algorithms, can help with banks digital transformation needs.
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artificial intelligence, machine learning, financial services, retail banking
    
TIBCO Software
Published By: TIBCO Software     Published Date: May 16, 2019
Financial Services is an industry driven by disruption. Transformative business models such as low-cost brokerages, innovative investment products like ETFs, and the huge regulatory mandates like Gramm-Leach-Bliley are but a few examples. Here are some others: New fintech firms such as a recent nine billion dollar investment in Ant Financial Services Group and myriad other venture capital-led fintech startups targeting well established segments across the financial services industry Robo-advisor services powered by artificial intelligence and machine learning intermediating financial advisors and portfolio managers alike Ever changing regulatory and risk management mandates, such as GDPR, Basel III, and Open Banking, transforming customer engagement and capital allocation Read this whitepaper to learn how you can overcome these and other disruptions.
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data, applications, analytics, algorithms, innovation, cloud, technology, customer
    
TIBCO Software
Published By: FICO - APAC     Published Date: Jul 10, 2017
As a subsidiary of the worlds largest food company, Nestl USA is laser-focused on doing more with fewer resources and adopting highly efficient technologies and processes, including machine learning and prescriptive analytics. With 64 brands consisting of numerous products in each brand, maximizing payload and minimizing transportation costs is an extremely complex problem particularly when you factor in demand forecasts and current supply levels.
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FICO - APAC
Published By: LifeSize, a division of Logitech     Published Date: Feb 01, 2013
A window to the world - For universities, community colleges and technical schools, LifeSize video conferencing delivers new and engaging tools to improve collaborative learning and prepare students for a productive future.
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higher education, lifesize, video conferencing solution, video, students, meetings, collaboration, knowledge management
    
LifeSize, a division of Logitech
Published By: Adobe     Published Date: Oct 24, 2018
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. Its 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
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Adobe
Published By: FICO     Published Date: Jun 06, 2017
As a subsidiary of the worlds largest food company, Nestl USA is laser-focused on doing more with fewer resources and adopting highly efficient technologies and processes, including machine learning and prescriptive analytics. With 64 brands consisting of numerous products in each brand, maximizing payload and minimizing transportation costs is an extremely complex problem particularly when you factor in demand forecasts and current supply levels.
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manufacturing, manufacturing optimization, manufacturing solutions
    
FICO
Published By: Google Cloud     Published Date: Aug 17, 2017
"A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology and are already realizing genuine ROI."
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Google Cloud
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA DGX-1, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
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Pure Storage
Published By: BMC ASEAN     Published Date: Dec 18, 2018
From the impact of disruptive technologies to the imperative of digital transformation, businesses today must find new ways to innovate or risk being left behind. While data flowing rapidly between the Internet of Things and multi-cloud computing environments brings tremendous opportunity, theres also a great deal of complexity. Artificial intelligence (AI) and machine learning (ML) are part of the new wave of solutions capturing the minds of enterprise leaders to respond to these new opportunities and complexities. Digitally literate leaders who are highly cognizant of this wave, are jumping in headfirst and applying AI and ML to solve real business challengesmaking enterprise goals of enabling cost savings via smarter operations and decision making come to fruition. BMC Cognitive Service Management (CSM) addresses the complexities of multi-cloud computing by applying intelligence, automation, and predictive capabilities. CSM employs a differentiated approach with a more holistic
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BMC ASEAN
Published By: BMC ASEAN     Published Date: Dec 18, 2018
Digital transformation encompasses both technological and human components. While many initiatives focus on ensuring that a companys multi-cloud infrastructure is agile enough to meet changing demands around cloud mobile, Internet of Things (IoT), and big data, its equally important to empower business workers with the modern digital tools they need to be successful today. Artificial intelligence and machine learning can play a vital role on both of these fronts. In fact, 78 percent of CIOs and senior IT leaders are already looking to AI to address complexity,1 and by 2019, 30 percent of IT service desks will utilize machine learning to free up support capacity.2 The magnitude of change has forced companies to take stock of the experience they offer employees. As digital natives3 enter and advance in the workforce, talent retention is now a top priority. These workers expect to have the best tools; 93 percent of millennials cited modern and up-to-date technology as one of the most
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BMC ASEAN
Published By: Gameffective     Published Date: Feb 26, 2019
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.
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Gameffective
Published By: DataCore     Published Date: Apr 23, 2019
The emphasis on fast flash technology concentrates much attention on hot, frequently accessed data. However, budget pressures preclude consuming such premium-priced capacity when the access frequency diminishes. Yet many organizations do just that, unable to migrate effectively to lower cost secondary storage on a regular basis. In this white paper, explore: How the relative proportion of hot, warm, and cooler data changes over time New machine learning (ML) techniques that sense the cooling temperature of data throughout its half-life The role of artificial intelligence (AI) in migrating data to the most cost-effective tier.
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storage tiering, auto tiering, all-flash array, ssd, software defined storage, hyperconverged, data migration, storage migration
    
DataCore
Published By: ttec     Published Date: Jul 24, 2019
The pace of automation in the contact center is accelerating as it moves from IVR and routing to artifi cial intelligence and bots. With the digitization of contact center operations, the status quo is being upended. Technological advances in robotic process automation (RPA), AI, and machine learning (ML) for both customer and employee interactions are literally changing the face of customer care. Simple, repetitive tasks dont need a person to do them anymore. Chatbots and self-service knowledgebases put the control in customers hands to resolve their own issues quickly. Information from across the business can more easily be accessed, integrated, and analyzed to streamline backoffi ce and customer-facing functions. Companies are creating digital worker factories that leverage AI and ML to improve their business.
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ttec
Published By: Trend Micro     Published Date: May 03, 2018
Since the early days of the Gartner Magic Quadrant for this category, there have been successive waves of innovation. Back in 2002, integrated firewalls captured the markets (and Gartners) attention. Over the years, weve seen technologies, such as full disk encryption, data loss prevention (DLP), behavioral detection, application control, and more recently, machine learning, as effective new ways to protect endpoints, detect threats and give security teams peace of mind. Trend Micro has consistently been part of these innovation waves. Its clear that the market is excited about Endpoint Detection & Response (EDR). There are two drivers for this, and we are committed to delivering effective solutions in both areas.
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Trend Micro
Published By: Brother     Published Date: Nov 23, 2015
The Center for Digital Education (CDE) surveyed over 130 K-12 decision-makers on the classroom use of printer and scanner technologies in September 2014 and found scanning materials for digital use in the classroom is a key concern, with ease of use, cost containment and flexible deployment among the most critical needs. In the context of this study, this white paper will build a case for the use of scanners to revolutionize K-12 teaching, learning and administration.
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scanners, brother, scanning solution, digital learning, touchscreen, education technology, it management
    
Brother
Published By: Cornerstone OnDemand     Published Date: Apr 16, 2018
The role of learning and development has never been more important to the success of small and medium businesses, especially because of the fierce competition with big business to attract and retain top talent. Were amidst a disruption in the way employees work and learn. Technology, skills, and workforce demographics are shifting and evolving at a rapid pace. Employees are now sitting in the drivers seat when it comes to their career path and companies are getting strategic with how to meet this new demand. Read our guide The Rise of the Holistic Learning Experience to learn how the new role of learning and development can help your company thrive. Youll gain insights on: Consumer-driven technology changing the game Continuous learning and staying relevant amid change The holistic learner experience Get your copy and start building a holistic learning program today.
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Cornerstone OnDemand
Published By: Ciena     Published Date: Jun 12, 2017
Is your infrastructure, bandwidth, and scalability getting a top grade? How much bandwidth is enough and what are your options? We'll make sure you know.
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network bandwidth, wan, bandwidth security, dark fiber optics, education network security, self-provisioned network, integrated access device, e-rate
    
Ciena
Published By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: how you can leverage and operationalize analytics in your everyday business processes improve customer relationships grow revenue in an increasingly competitive world
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fico, customers, analytic, management, applications, solutions
    
FICO
Published By: Red Hat     Published Date: Mar 28, 2019
Digital business brings to mind innovative technologies: mobile devices, intelligent sensors, wearable devices, virtual reality, chatbots, blockchain, machine learning, and other technology. For some, it also reflects the rapid rise of new digitally native businesses that have disrupted traditional business models and destabilized established companies and industry sectors. For the majority of organizations, digital business means pivoting to a culture of organizational agility, where the rapid pace of demand can only be satisfied by faster and more flexible development and delivery models. As most organizations do not have the luxury of completely rebuilding their technology foundation or immediately adopting new practices and mindsets, they are embracing gradual yet fundamental shifts in culture, processes, and technology to support greater velocity and agility.
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Red Hat
Published By: Cisco     Published Date: Jan 12, 2016
Higher education has come under increasing scrutiny as never before due to rising costs, changes in future job requirements, and new forms of learning opportunities offered by non-traditional companies and institutions. Students and parents are rightfully questioning the value of higher education based on perceived outcomes as well as staggering student loans that in some cases could take a lifetime to pay back. While the value equation debate rages on, there is another phenomenon taking place. It is nothing short of a revolution regarding the advances in technology and how institutions of higher learning along with nontraditional organizations are utilizing these powerful new tools. These new tools include new mobile devices, enhanced and feature-rich learning management systems, data-feeding sensors, 3D printers, smart classrooms, smart buildings, and collaboration tools allowing students and faculty to collaborate just about anywhere face-to-face, virtually.
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cisco, byod, connectivity, education, networking environment, digital revolution, higher education, networking
    
Cisco
Published By: Skillsoft     Published Date: Jun 23, 2016
In the latest developments in technology for HCM, Nucleus sees an inexorable march to upend conventional approaches to on-the-job learning. Training scheduled around static variables such as regulatory policy or company initiatives, for instance, is one-dimensional. This type of learning will persist. The emergence of prescriptive analytics made possible by real-time data models, however, makes trigger-based, in-the-moment learning possible (Nucleus Research p199 The coming mass extinction in HCM, November 2015). Further supporting this are social mediastyle user interfaces (UIs), which promote continual collaboration. Its learning that happens whenever an employee needs it, not when the organization or law decrees it. Data across HCM prompts these triggers.
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best practices, business optimization, business management, organization, talent management, technology
    
Skillsoft
Published By: Polycom     Published Date: Jul 24, 2014
Build or buy? When manufacturers have sought new leaders, they have typically done both: grooming talent in-house and paying market rates for the best thinkers and managers. With the growing STEM (science, technology, engineering, and mathematics) shortage, companies will be harder-pressed to buy and keep top technical talent. Emerging and established leaders will command premium prices and field continual offers, increasing the likelihood theyll make frequent job changes, taking their industry and institutional knowledge with them. As a consequence, manufacturers will need to build their talent pipeline, empower knowledge workers with the tools and intelligence they need to succeed, and provide professional development opportunities that exceed what competitors offer. This will be a marathon, not a sprint. Whats key to making the race for talent successful: virtual training environments that accelerate learning and innovation.
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polycom, management, virtual, training, development
    
Polycom
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