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Published By: Corrigo     Published Date: Nov 01, 2019
PropTech is disrupting the facilities management and real estate industries – from big data and IoT to artificial intelligence and augmented reality. The latest advances in PropTech are accelerating change in facilities management like never before, driving bottom line value and helping future-proof FM operations. The promise of PropTech is why our Corrigo team is investing so heavily in frictionless, self-learning platforms to help our clients use technology to truly transform their businesses. But as we amplify FM ops with new technology, we are just as passionate about helping our clients optimize their current processes. Why? Because making even small changes today can mean huge savings for their bottom line. In fact, 80% of organizations are leaking more FM value right now than they could immediately gain with new, emerging tech strategies. That’s no small leak – it’s a staggering loss for organizations of all sizes. After analyzing 700 million facilities management transactions a
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Corrigo
Published By: SAP EMEA Global     Published Date: Sep 13, 2019
Questions posed by: SAP SuccessFactors Answers by Lisa Rowan, Research Vice President, HR, Talent, and Learning Strategies
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SAP EMEA Global
Published By: Intel     Published Date: Nov 13, 2019
Intel® Select Solutions for BigDL on Apache Spark* accelerates and simplifies deep learning development and deployment on an optimized, verified infrastructure based on Apache Spark*. Intel® Select Solutions for BigDL on Apache Spark* combine Intel® Xeon® Gold processors, Intel® SSDs, and Intel® Ethernet Network Adapters to empower enterprises to quickly harness a reliable, comprehensive solution that delivers excellent total cost of ownership (TCO) and accelerated time to market.
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Intel
Published By: Intel     Published Date: Nov 14, 2019
Infrastructure considerations for IT leaders By 2020, deep learning will have reached a fundamentally different stage of maturity. Deployment and adoption will no longer be confined to experimentation, becoming a core part of day-to-day business operations across most fields of research and industries. Why? Because advancements in the speed and accuracy of the hardware and software that underpin deep learning workloads have made it both viable and cost-effective. Much of this added value will be generated by deep learning inference – that is, using a model to infer something about data it has never seen before. Models can be deployed in the cloud or data center, but more and more we will see them on end devices like cameras and phones. Intel predicts that there will be a shift in the ratio between cycles of inference and training from 1:1 in the early days of deep learning, to well over 5:1 by 2020¹. Intel calls this the shift to ‘inference at scale’ and, with inference also taking up
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Intel
Published By: TIBCO Software     Published Date: Jul 22, 2019
TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Today, you can improve product quality and gain better control of the entire manufacturing chain with data virtualization, machine learning, and advanced data analytics. With all relevant data aggregated, analyzed, and acted on, sensors, devices, people, and processes become part of a connected Smart Factory ecosystem providing: •? Increased uptime, reduced downtime •? Minimized surplus and defects •? Better yields •? Reduced cost due to better quality •? Fewer deviations and less non-conformance
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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.
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TIBCO Software
Published By: Infinidat EMEA     Published Date: Jun 10, 2019
Digital disruption, economic instability, political upheavals and skills shortages have all at some point in the past 24 months been blamed for business failure, or at the very least, lost profitability and earnings. It’s perhaps not a huge surprise that a Gartner CEO survey on business priorities revealed that digital business is a top priority for next year. Survey respondents were asked whether they have a management initiative or transformation program to make their business more digital. The majority (62 percent) said they did. Of those organisations, 54 percent said that their digital business objective is transformational while 46 percent said the objective of the initiative is optimisation.* So, for businesses it’s a case of learning to evolve and be agile, to use technology to help compete more efficiently and not fall victim to inertia. As businesses become increasingly dependent on the insights from data analytics and face-up to competition fuelled by the 24/7 society of in
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Infinidat EMEA
Published By: MicroStrategy     Published Date: Nov 05, 2019
Organizations are embracing cloud-based solutions at an unprecedented rate. The transition to a cloud-first strategy is no longer viewed as a luxury but as a necessity for businesses to compete. According to a 2018 study, cloud computing will have the biggest impact on analytics initiatives, followed by big data, AI and machine learning, and IoT. Because today’s state-of-the-art solutions will likely be quickly outdated, organizations now want to invest in systems that can meet their changing needs. Attributes like flexibility and agility will allow these businesses to seamlessly tackle changing business requirements.
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MicroStrategy
Published By: Cherwell Software     Published Date: Oct 28, 2019
: Today’s learning environments would be unrecognizable to past generations. Professors distribute and issue syllabi and assignments online. Students collaborate on group projects using Google Docs, Doodle and other technologies. Password reset requests alone could keep an entire IT team busy. To face this onslaught of technological demands without breaking the budget, campuses need a powerful, flexible and affordable ITSM platform. Read this eBook to learn how eight different colleges and universities are using Cherwell ITSM to achieve: • A higher level of productivity (for example, implementing a self-service portal for password resets that slashed service requests by 65 percent) • Faster service delivery (for example, cutting the global computer refresh cycle from three years to seven months) • Less configuration time (for example, one school reduced configuration time by 74 percent). To learn more about how leading campuses have easily and affordably improved their operational
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Cherwell Software
Published By: Jamf     Published Date: Oct 18, 2019
Today’s students are accustomed to leveraging technology as part of their education. For in-class and at-home learning, many are leveraging 1-to-1 iPad programs. For many more, a computer lab is made available to offer access to educational materials. Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students and parents the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries. And, many school computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply prefer them. In order to set students up for educational and professional success, K-12 schools need to equip students with secure technology and a customized experience when they sit down at any computer in the lab.
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Jamf
Published By: Jamf     Published Date: Oct 18, 2019
Today’s students are accustomed to leveraging technology as part of their education. For in-class learning at K-12 environments, many are offering 1-to-1 iPad programs. While some universities are moving towards a 1-to-1 iPad model, such as The Ohio State University, many others are relying on computer labs to offer the technical tools students need. In order to set these young adults up for professional success, higher education institutions need to equip students with secure technology and a customized experience when they sit down at any computer in the lab. Labs are a cost-effective and efficient way to ensure students have access to a computer with the apps they need to be successful, saving students the cost of purchasing computer hardware and software. Labs ensure digital equity for students who would not otherwise be able to afford these luxuries. And, many university computer labs are Mac labs. Mac has a longer shelf life than PC, countless educational apps and students simply
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Jamf
Published By: TIBCO Software     Published Date: Sep 16, 2019
Lo que aprenderá: • Aplicar la analítica avanzada y las técnicas de machine learning / IA a fin de optimizar procesos de manufactura complejos • De qué manera el control de procesos estadísticos de múltiples variantes puede ayudar a detectar las desviaciones en una base de referencia • Cómo monitorear el OEE en tiempo real y producir una vista de 360 grados de su fábrica Asimismo, el webinar también da cuenta de los casos de estudio de nuestros clientes que ya han implementado con éxito los modelos de optimización de procesos.
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TIBCO Software
Published By: Quantum Metric     Published Date: Oct 18, 2019
At Quantum Metric, helping companies improve digital customer experience is our passion. We’ve harnessed the learnings and observations we’ve had across dozens of Fortune 500 organizations to develop a methodology that companies can use to achieve meaningful results quickly - helping leadership and teams highlight the lowest hanging fruit in their organizations. The principles for our guide are: Be Easy to Understand. Five clear steps with specific goals and outcomes. Provide Value from Day One. No month-long assessments required. Deliver Quantifiable Outcomes. Clear, objective, and measurable improvements. Be Consistent. Produce repeatable results. Be Universal. Applicable to a wide-variety of businesses and situations. Using the concepts illustrated within this methodology, digital teams from every industry have been able to consistently deliver stellar customer experiences that encourage and maintain long term brand loyalty.
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Quantum Metric
Published By: ALE USA, Inc     Published Date: Nov 01, 2019
Today, most students in primary and secondary schools have never experienced life without the internet or smartphones. This reality is reflected in the classroom where digital learning processes and experiences are enhancing traditional textbooks and upending conventional classroom teaching methods. Online lessons, testing and assessments are now part of most curricula. Laptops, tablets and smartphones have become primary instruction tools for students, who are downloading an increasing number of online apps to enhance their digital learning experience. Teachers and lecturers alike rely on robust, reliable Wi-Fi across their campus to access the full range of teaching tools available to them.
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ALE USA, Inc
Published By: ALE USA, Inc     Published Date: Nov 01, 2019
Advanced technology in elementary, middle and high schools creates new ways for students to learn, and changes how teachers plan and deliver lessons. It also provides the digital tools for school administrators to simplify operations, better comply with regulations, and deliver a safer environment for students and teachers. Is your K-12 network ready for the digital education innovations of the future? This guide provides school administrators and IT teams information and strategies for designing efficient and cost-effective IT networks that enable dynamic digital learning experiences. This secure, highperformance platform supports administrative innovation for today and into the future.
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ALE USA, Inc
Published By: Iovation     Published Date: Aug 02, 2019
The digitalization of business processes and the advent of mobile computing have given rise to the next generation of fraud. Cybercriminals have a variety of tools and techniques—as well as opportunities—to steal money and services. Furthermore, traditional fraud prevention tools often fail to stop this fraudulent activity. Companies need a new approach to fraud prevention—one that stops fraud early and preserves the user experience. Companies with an online presence must have the ability to: Detect and respond to fraudulent activity before incurring losses Leverage human insight and machine learning to identify advanced fraud Work with other fraud analysts to identify larger fraud trends and stop cybercriminals on a global scale Block more fraud while reducing fraud prevention costs This book explores how companies can leverage a next-generation fraud prevention solution to stop more fraud while reducing costs and providing a positive user experience for trusted customers.
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Iovation
Published By: KPMG     Published Date: Oct 04, 2019
Life is coming at us fast, so our thinking about policy solutions for the future needs to be bigger, bolder and much more imaginative. We have just launched the second edition of Reimagine public policy. 20 truly, disruptive and innovative ideas to help solve today’s policy challenges. Four of them are brand new for this year – Reimagine high streets, digital platforms for life-long learning, workforce and migration. The Reimagine ideas show how to: • Revitalise the Great British High Street • Remove the need for any family to choose between heating and eating • Match hirers and firers to give workers facing redundancy new skills
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KPMG
Published By: Workday     Published Date: Oct 22, 2019
In the latest issue of our CIO Perspectives magazine, discover how IT executives are leading the way in innovation with exciting new technologies such as blockchain and machine learning. Read now to learn more.
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Workday
Published By: Workday     Published Date: Oct 22, 2019
This whitepaper explores how machine learning can make your HR and finance ERP solutions smarter and more agile and efficient. Read now to discover how Workday leverages AI to deliver value you can trust.
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Workday
Published By: ttec     Published Date: Jul 24, 2019
By the time most customers reach a human employee with a question, chances are they have already researched online or tried to self-serve. This means employee transformation is required to develop more sophisticated employees in the age of automation to solve more advanced customer issues. Because front-line jobs are becoming more complex, employees need to be tactical, technical, and ready to emotionally handle these new types of interactions. Recently, Lamont Exeter, head of Learning & Development at TTEC Digital, teamed up with Tim Duranleau of SAP Litmos in a webinar to discuss ways that companies can combine learning and technology to create more sophisticated employees. Below are some key highlights from the discussion.
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ttec
Published By: BetterUp     Published Date: Mar 06, 2019
Despite the huge amount of time, money, and resources invested in L&D solutions, most simply deliver information without effecting lasting transformational change. In fact, after a year, only about 30% of employees successfully transfer their learnings to the workplace. A new approach is required as most L&D solutions are failing us. In this report, we share the five shortcomings of L&D solutions today and offer insights into how you can create a program that delivers the business outcomes you need, while enabling your people to thrive.
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BetterUp
Published By: BetterUp     Published Date: Mar 06, 2019
Research suggests that up to half of the investment your organization is making in Learning & Development (L&D) is being wasted. Employees unfortunately lose up to 75% of the information they receive through traditional L&D approaches (including learning management systems, episodic trainings, and workshops) — an effect known as the training transfer problem. In this report, discover the five critical requirements for effective behavior change and leadership development.
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BetterUp
Published By: Amazon Web Services EMEA     Published Date: Nov 05, 2019
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way. This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
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Amazon Web Services EMEA
Published By: Genesys     Published Date: Jun 19, 2019
Contact centers often pool agents into large groups of generalists to distribute work evenly. Skills-based routing takes this a step further with specialized groups. But neither approach scales properly to identify all opportunities and drive business outcomes on each interaction. Predictive routing uses artificial intelligence (AI) and machine learning to create balance—meeting targets and giving customers a personalized experience. Read Demystifying AI: Creating an AI partnership that maximizes business results to learn how predictive routing systematically: Evaluates historical and real-time data to make predictions; Makes the best customer-agent match to drive desired outcomes; Keeps agents engaged and reduces handle times.
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Genesys
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