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Published By: BillingPlatform     Published Date: Jul 30, 2019
Organization leaders and companies of all sizes are leveraging digital transformation in their industry, market, and business using a myriad of disruptive technologies like connectivity, the Internet of Things, blockchain, business intelligence and big data. CFOs who manage to get in front of these technologies will lead their businesses to greater success. This eBook illustrates how cloud-based billing management offers the quickest path toward this transformation. Download this eBook to explore how the right solution can help you: • Monetize IoT and increase revenue • Launch product innovations quickly • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today.
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BillingPlatform
Published By: BillingPlatform     Published Date: Jul 30, 2019
Discover How Cloud-based Billing Delivers Transformation Enterprise leaders and companies of all sizes are leveraging digital transformation through disruptive technologies like the Internet of Things, AI, business intelligence and big data. This eBook demonstrates 5 strategies for leading the charge for change within your business. Discover how to quickly leverage digital transformation in your technology stack and monetize it quickly with cloud-based billing. Download this eBook to explore how the right solution can help you: • Launch product innovations quickly • Monetize IoT and increase revenue • Automate billing to improve customer retention • Leverage the cloud to reduce costs Adapting today can mean the difference between success and obsolescence. With the right billing solution your business can thrive in these challenging times. Discover how today!
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BillingPlatform
Published By: Group M_IBM Q3'19     Published Date: Jul 30, 2019
Some technologies cause ripples, others cause waves of transformation. Artifical Intelligence (AI) is prehaps the most transformative of ur era. Read this paper to learn how AI can help you transform your business and B2B network so that you can build a business network for the future. Discover three ways you can apply AI--today--to build a modern, faster, more efficient B2B network: Access detailed, real-time transactional intelligence across your business Gain in-depth, real-time visability into supplier and partner performance Empower supply chain and LOB users with self-service
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Group M_IBM Q3'19
Published By: HERE Technologies     Published Date: Jul 30, 2019
How can brands create relevant, authentic advertising experiences with real-world location intelligence?
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mapping, location data, consumers, data, advertising
    
HERE Technologies
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 29, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Box     Published Date: Jul 29, 2019
Most CIOs today understand that digital transformation initiatives can help streamline business process; boost ef?ciency; increase competitiveness; and, broadly, help their organization become disruptive over the long term. Some of the transformation initiatives under way—even in many pace-setting companies—are struggling to manage the exponential explosion of unstructured data and the associated heightened compliance and security demands, however. Fortunately, new solutions that tap arti?cial intelligence (AI) can extract hidden insights from unstructured data, such as documents, images, videos, and audio ?les. AI is also helping automate many of the labor-intensive processes used to classify, organize, and analyze unstructured content
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Box
Published By: Box     Published Date: Jul 29, 2019
Aujourd'hui, la plupart des DSI comprennent que les initiatives de transformation numérique peuvent servir à rationaliser les processus métier, à améliorer l'ef?cacité, à accroître la compétitivité et, globalement, à permettre à leur entreprise de devenir « disruptive » sur le long terme. Cependant, certaines initiatives de transformation en cours (et même dans de nombreuses entreprises de premier plan) se confrontent à des dif?cultés liées à la gestion de l'explosion exponentielle des données non structurées, ainsi que les exigences de conformité et de sécurité accrues qui en découlent. Fort heureusement, de nouvelles solutions basées sur l'intelligence arti?cielle (IA) extraient des informations dissimulées à l'intérieur de données non structurées, telles que des documents, des images, des vidéos et des ?chiers audio. L'IA permet également d'automatiser de nombreux processus fastidieux utilisés pour classer, organiser et analyser les contenus non structurés.
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Box
Published By: Box     Published Date: Jul 29, 2019
Den meisten CIOs ist heute bewusst, dass Initiativen zum digitalen Wandel dazu beitragen können, Geschäftsprozesse zu optimieren, die Ef?zienz zu steigern und die Wettbewerbsfähigkeit zu erhöhen. Auf lange Sicht initiieren sie dadurch die Modernisierung und Zukunftsorientierung des Unternehmens. Einige der laufenden Transformationsinitiativen – auch in vielen wachstumsstarken Unternehmen – haben mit der Problematik zu kämpfen, den explosionsartigen Anstieg von unstrukturierten Daten zu verwalten und den damit verbundenen höheren Compliance- und Sicherheitsanforderungen gerecht zu werden. Zum Glück können neue Lösungen, die künstliche Intelligenz (KI) einsetzen, nicht genutzte Informationen aus unstrukturierten Daten extrahieren, beispielsweise aus Dokumenten, Bildern, Videos und Audiodateien. KI trägt auch dazu bei, viele der zeitaufwendigen Prozesse zur Klassi?zierung, Organisation und Analyse unstrukturierter Daten zu automatisieren.
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Box
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Are you looking for information to help you with your artificial intelligence deep learning journey?  This Deep Learning Dummies guide will help you understand what AI, deep learning and machine learning can mean for you and your organization.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Learn about the HPE Intelligent Data Platform and the new IT realities it addresses. With digital transformation underway in many organizations, more dynamic business models are becoming the key to success. This means infrastructure modernization and the introduction of technologies such as solid state storage, artificial intelligence and machine learning, software-defined infrastructure, and the cloud. At the same time, it means IT infrastructure management becomes much more complex. Enter HPE’s Intelligent Data Platform. With comprehensive coverage and AI/ML-driven real-time optimization that enables intelligent management of the entire data life cycle, the HPE Intelligent Data Platform enables an organization to get the most out of its IT resources while also meeting its evolving needs over time.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Jul 25, 2019
Discover the transformational power of intelligent storage. A company’s competitive success depends greatly on how well it harnesses the value of its data. However, it can be challenging to keep pace with the increases in the scale of data being generated, as well as users’ demands for accessibility. Additionally, maximizing the value of digital information requires data to be leveraged at both the optimal time and the optimal place. With HPE’s intelligent storage portfolio, organizations can modernize their IT to better understand their customers, run more agile IT functions, and improve logistical operations.
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Hewlett Packard Enterprise
Published By: AWS     Published Date: Jul 24, 2019
With more data to analyze than ever before, companies are finding new ways to quickly find meaning in their data with artificial intelligence (AI). Natural Language Generation (NLG) technologies deployed on Amazon Web Services (AWS) can enable organizations to free their employees from manual data analysis and interpretation tasks. NLG transforms data into easy-to-understand, data-driven narratives with context and relevance.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Many business leaders know that Artificial Intelligence (AI) and Machine Learning (ML) are critical to their future but don’t know where to start. Those who do have an AI/ML strategy struggle to find qualified data scientists; and once they find them, even advanced data scientists need a lot of time—even months—to build and deploy ML models. These challenges put significant limits on the range and number of problems a business can solve. In this webinar, learn how H2O Driverless AI on Amazon Web Services (AWS) automates the best practices of leading data scientists to create advanced machine learning models automatically. With these production-ready models, relative newcomers to AI/ML can generate reliable results and scale-up AI programs that anticipate and capitalize on trends, optimize supply chains, understand customer demand, match consumers with goods and services, and much more. Download our webinar to learn Implement ML successfully with minimal data science expertise. Build
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Common daily media broadcaster tasks such as ad verification are slow and costly. Done manually, they may also introduce inefficiencies that can interfere with transparency and payment accountability—and impact your bottom line. Meanwhile, recent and archived media lies idle when you could repurpose it to increase brand exposure and generate revenue. Learn how Veritone, Inc. used its aiWARE Operating System, building on Amazon Web Services (AWS), to help Westwood One, Inc., a large audio broadcasting network in the United States, develop Artificial Intelligence (AI) and Machine Learning (ML) solutions designed for ad verification and monetizing archived media. Download our webinar to learn how you can Automate ad verification and reporting tasks. Enhance archive content to make media searchable and reusable. Use AI and ML in the cloud for near real-time media intelligence. Start applying machine learning tools.
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AWS
Published By: AWS     Published Date: Jul 24, 2019
Join us to learn why Human-in-the-Loop training data should be powering your machine learning (ML) projects and how to make it happen. If you’re curious about what human-in-the-loop machine learning actually looks like, join Figure Eight CTO Robert Munro and AWS machine learning experts to learn how to effectively incorporate active learning and human-in-the-loop practices in your ML projects to achieve better results. You'll learn: When to use human-in-the-loop as an effective strategy for machine learning projects How to set up an effective interface to get the most out of human intelligence How to ensure high-quality, accurate data sets When: Available On Demand (please register to view) Who Should Attend: IT leaders and professionals, line-of-business managers, business decision makers, data scientists, developers, and other experts interested in implementing AI/ML on the cloud are encouraged to attend this webinar. AWS Speaker: Chris Burns, Solutions Architect Figure Eight Spea
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AWS
Published By: ttec     Published Date: Jul 24, 2019
Artificial Intelligence (AI) has officially entered the (contact center) building. However, it’s not in the way most media reports predicted. Instead of replacing human associates, virtual associates are collaborating with them to work faster and more efficiently, and the hybrid duos are wowing customers worldwide.
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ttec
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 don’t 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: Citrix     Published Date: Jul 24, 2019
Download the report now to discover how businesses can overcome the barriers preventing IT-HR collaboration.
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citrix, singapore, collaboration, human resources, employee engagement, human capital, workforce
    
Citrix
Published By: Zilliant     Published Date: Jul 23, 2019
Driving Profitable Growth with Actionable Intelligence and AI webinar
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Zilliant
Published By: HERE Technologies     Published Date: Jul 23, 2019
On-demand services that transport people in high volumes over short distances have a crucial role to play in changing urban transportation. New technology and data bring a wealth of opportunity for new mobility service providers to optimize, keep customers satisfied and achieve the operational superiority for which they’re all striving. This ebook looks at the critical role location intelligence can play in helping on-demand organizations make that extra drop-off each hour. By reading this ebook, you will discover: - How accurate location, asset and routing data can aid fleet optimization and improve service response times - How accurate pick-up and trip destination ETAs ensure time isn’t wasted connecting users with drivers - How services can calculate the fastest possible route between multiple waypoints to maximize journey efficiency
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here tech, mapping, location data, location intelligence, car sharing, ride sharing, e-scooters sharing
    
HERE Technologies
Published By: HERE Technologies     Published Date: Jul 23, 2019
Whether you’re a private company moving people or goods, or a governmental organization responsible for managing traffic flow, urban environments present a common set of challenges. Greater safety, reduced congestion and pollution, a better consumer experience, more well-organized networks and intuitive vehicle use are shared goals for all those looking to transform urban mobility. City transportation is about to undergo a seismic change. This presents a huge opportunity for businesses to improve their services and for public sector leaders to understand and manage networks more efficiently. By reading this ebook, you will discover how location intelligence helps: - Meet ever-increasing customer expectations of timely pick-ups and deliveries - Improve safety and congestion across a road network - Reduce operational costs and improve efficiency for movers of people and parcels -Maximize the use of fleet vehicles and drivers by efficiently matching supply to demand
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here tech, mapping, location data, location intelligence
    
HERE Technologies
Published By: HERE Technologies     Published Date: Jul 23, 2019
Discover how cities and private companies can better work together for more harmonized urban mobility. As a city authority, or new mobility company, you now need to start working more closely with “the other side” for better urban mobility. But how can you work together, while maintaining your values, vision, privacy and sanity? This is a practical guide on how to collaborate better with other organizations. Learn how cities like Vienna, Dallas and others are breaking down barriers and explore the benefits of a united approach and the perils of working in silos. Build your technical infrastructure for better data sharing with the ultimate aim of improving the lives of people working, living and exploring your city. Inside, you’ll learn: Why open collaboration is key to better urban mobility The 3Ts of creating a smoother working relationship: trust, tech and talk 3 things you can do right now to start opening up Examples of five great city-company collaborations Ready to start coll
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here tech, mapping, location data, smart cities, location intelligence
    
HERE Technologies
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION 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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TIBCO Software
Published By: TIBCO Software     Published Date: Jul 22, 2019
FINANCIAL SERVICES’ HISTORY OF DISRUPTION 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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TIBCO Software
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