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Published By: Shell     Published Date: May 28, 2019
When energy use is reviewed at a national or international level we realize that about 35% of the western world’s total energy and carbon dioxide (CO2) footprint is linked to transport and a large fraction of that with freight movement. Collectively, cars and trucks account for nearly one-fifth of all U.S. emissions, emitting around 24 pounds of CO2 and other global-warming gases for every gallon of gas1. So, if we are to reduce energy usage and abate CO2 emissions and deliver cost savings, it is essential that a lot of attention is paid to commercial transport. Priorities for Increasing Fuel Economy explores these challenges and provides the essential information you need to help you achieve competitive advantage across your commercial fleet operations.
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Shell
Published By: 3D Systems     Published Date: May 24, 2019
Per più di due secoli la produzione industriale in fabbrica si è distinta in quattro aspetti chiave: ripetibilità del processo, durata delle parti prodotte, produttività nel flusso di lavoro e un costo totale operativo ridotto. I flussi di lavoro in fabbrica sono stati ottimizzati per produrre le parti migliori in grande quantità e nel modo più economico possibile. Qualsiasi nuovo metodo di produzione o processo del flusso di lavoro che si proponga di affiancarsi a questo processo standard deve soddisfare o altrimenti migliorare questi elementi, che sentono ormai il peso del tempo.
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3D Systems
Published By: Equinix EMEA     Published Date: May 22, 2019
Much has been written about the impact of technology on insurance, this most traditional of industries. Artificial intelligence (AI), connected cars, drones and the Internet of Things (IoT) are all becoming integral to the insurance and automotive industries. This becomes obvious when using your car’s navigation system – an everyday action that might well lead to a chain of events few would even think of today. To find out more download this whitepaper today.
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Equinix EMEA
Published By: Automation Anywhere APAC     Published Date: Apr 18, 2019
Automation is already pervasive in our lives—from tried-and-true mechanized assembly lines to the dawn of self-driving cars. But how can you use advanced forms of automation to improve your business processes? Download this starter guide for a detailed look at robotic process automation (RPA), a type of automation that can help you: Reduce costs Decrease errors Improve efficiency Boost productivity Also explore the definition and features of RPA, as well as the types of automation software.
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Automation Anywhere APAC
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Emerging technologies and automation permeate every aspect of our work and lives today. The real opportunity of these technologies — which include artificial intelligence (AI), machine learning, the Internet of Things (IoT), and human interfaces — is to enable us to embrace innovation on a scale never seen before. These technologies help us reimagine what’s possible in work and in life - from self-driving cars and personalized medicine to precision agriculture and smart cities that are changing the way we experience our world. Autonomous opens a new world of opportunities for enterprises. Autonomous Database for Dummies consists of five chapters that describe emerging technology trends and the business value of autonomous. Download this whitepaper to discover the business value of autonomous, Deploy a data warehouse in seconds and more!
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Oracle EMEA
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: Here Technologies     Published Date: Apr 02, 2019
In the future, people won’t necessarily want to own cars, but they’ll need personal mobility. The mobility ecosystem can support a range of different services, but in the near-term, many of these nascent businesses face a range of operational challenges as they bid to grow and become profitable. This ebook explores the fundamental needs of new mobility providers as they target business improvements, looks at their considerations as they forge key technology partnerships, and shows how HERE's Auto Mobility Operations solution can help mobility services meet those requirements. This ebook will help you understand how Auto Mobility Operations helps: • Enable the creation and integration of key location features as applications for mobile operating systems through use of the HERE Mobile SDK • Manage and efficiently operate fleet assets with HERE Location Services, providing fresh, high-quality and global location-based data • Create a frictionless and compelling UX - with APIs, mapping
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auto, mapping, location data
    
Here Technologies
Published By: Cisco EMEA     Published Date: Mar 26, 2019
The modern workplace is anywhere Complex work. Specialised teams all over the place. They’re in offices, homes, hotels, cars and airports. It could hardly be any more different to the days when people sat in neat rows of desks. That’s the modern reality of business life—it’s happening everywhere at once. Not only that, it’s happening on all kinds of devices, from desktop to mobile. And every generation of worker expects to have its workstyle accommodated. Today, co- workers mingle flexibly in pairs and groups, and those teams thrive on exchanging creative energy. They meet up in spaces designed specifically to encourage the cross-pollination of ideas. Their disruptive new concepts are where the next big growth opportunities are. The modern workplace is one where ongoing innovation is valued above all else. And flexibility extends well beyond four walls. Think about the way you work today and how it has evolved. Chances are it’s no longer 9 ‘til 5. Mobile employees, contract workers, fr
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Cisco EMEA
Published By: HERE Technologies     Published Date: Mar 25, 2019
In the future, people won’t necessarily want to own cars, but they’ll need personal mobility. The mobility ecosystem can support a range of different services, but in the near-term, many of these nascent businesses face a range of operational challenges as they bid to grow and become profitable. This ebook explores the fundamental needs of new mobility providers as they target business improvements, looks at their considerations as they forge key technology partnerships, and shows how HERE's Auto Mobility Operations solution can help mobility services meet those requirements. This ebook will help you understand how Auto Mobility Operations helps: • Enable the creation and integration of key location features as applications for mobile operating systems through use of the HERE Mobile SDK • Manage and efficiently operate fleet assets with HERE Location Services, providing fresh, high-quality and global location-based data • Create a frictionless and compelling UX - with APIs, mapping
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auto, mapping, location data
    
HERE Technologies
Published By: Group M_IBM Q119     Published Date: Feb 25, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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Group M_IBM Q119
Published By: E.ON     Published Date: Nov 21, 2018
With air quality and climate change dominating headlines and public opinion, the UK is charging ahead into a future of electric motoring. EVs and the installation of charging infrastructure are both new and growing industries, with the popularity of electric cars and vans growing at an incredible pace in the UK. At the end of March 2010, there were only 98 vehicles eligible for the Plug-in Car Grant licensed in the UK. By the end of March 2018 this had reached 132,789. While many organisations want to install EV charge points, some find it challenging to build a business case and worry about the unknowns when it comes to installation and maintenance. It’s time to change that. Download this whitepaper today to find out more.
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E.ON
Published By: E.ON     Published Date: Oct 25, 2018
Demand for electric vehicles as the backbone of corporate transport systems is growing. Here is why companies need to act now.
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electric cars, corporate transport, mobile workers, traveling workers, pollution, greenhouse gases, travel savings, business technology
    
E.ON
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Applause Israel     Published Date: Sep 25, 2018
Consumers expect a seamless, high-quality experience in today’s mature app economy. They want brands to keep up with new technologies like geo-fencing and personalization, as well as the latest ecosystems like voice assistants and connected cars. With this high bar for quality, QA organizations often struggle to keep up with: 1. Rapid Release Schedules 2. Personalization 3. New Technologies (Voice, AI) 4. Geo-Awareness and Localization 5. Device Fragmentation 6. Unexpected Customer Use Cases The cost of failure is high in QA. Time, money, and customer loyalty are all at risk when digital experiences don’t meet users’ high expectations.
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Applause Israel
Published By: IBM Watson Health     Published Date: Jul 06, 2018
The need Carson Tahoe Health needed insights to convince its board that an outpatient palliative care program could help address its higher-thanaverage mortality rates and help decrease the risk of future financial impact from those rates The solution The healthcare system used IBM® CareDiscovery to track and analyze end-stage patient mortality and related length of stay, readmissions, utilization and costs in key disease groups—by comparing those who participated in trial inpatient palliative care and those who did not The benefit The analysis was used to demonstrate to the system’s board that an outpatient palliative care service line was viable in terms of both cost savings and quality-of-care improvement
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IBM Watson Health
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
The 21st century marks the rise of artificial intelligence (AI) and machine learning capabilities for mass consumption. A staggering surge of machine learning has been applied for myriad of uses — from self-driving cars to curing cancer. AI and machine learning have only recently entered the world of cybersecurity, but it’s occurring just in time. According to Gartner Research, the total market for all security will surpass $100B in 2019. Companies are looking to spend on innovation to secure against cyberthreats. As a result, more tech startups today tout AI to secure funding; and more established vendors now claim to embed machine learning in their products. Yet, the hype around AI and machine learning — what they are and how they work — has created confusion in the marketplace. How do you make sense of the claims? Can you test for yourself to know the truth? Cylance leads the cybersecurity world of AI. The company spearheaded an innovation revolution by replacing legacy antivirus software with predictive, preventative solutions and services that protect the endpoint — and the organization. Cylance stops zero-day threats and the most sophisticated known and unknown attacks. Read more in this analytical white paper.
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cylance, endpoint, protection, cyber, security
    
BlackBerry Cylance
Published By: DigiCert     Published Date: Jun 19, 2018
The Internet of Things (IoT) has rapidly transformed the digital landscape and the world we live in. Intelligent devices and sensors connect smart cars, robotic manufacturing equipment, smart medical equipment, smart cities, industrial control systems, and much more in a way that improves lives and saves businesses billions of dollars. But along with its benefits, rapid IoT growth introduces a new dimension of security vulnerabilities that dramatically escalates the nature and seriousness of cybercrime risks. In addition to traditional confidentiality cyber risks, IoT threats include attacks that can: • Render smart appliances useless • Shut down city power grids • Threaten lives through hacked pacemakers and other medical devices. Such security flaws not only endanger lives, frustrate customers, and disrupt business operations, but they create significant cost and public relations damage for IoT developers and manufacturers.
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DigiCert
Published By: SAS     Published Date: Jun 06, 2018
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
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SAS
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: CA Technologies EMEA     Published Date: Apr 10, 2018
Un nuovo modello di sicurezza che vale la pena di studiare, e di imitare. La sicurezza enterprise si basa, tradizionalmente, su una strategia che blocca gli endpoint degli utenti e posiziona la rete all'interno di una sorta di perimetro fortificato. Oggi, questa strategia non è in grado di supportare né proteggere l'uso di device mobile e le funzionalità SaaS, che esistono al di fuori di quel perimetro. Di conseguenza, i Chief Information Security Officer (CISO) sono alla ricerca di soluzioni nuove, in grado di tutelare queste tecnologie e di adattarsi al modificarsi di minacce ed esigenze di business.
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CA Technologies EMEA
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: Oracle     Published Date: Mar 01, 2018
Per avere successo nella realtà competitiva di oggi, le aziende devono svincolarsi dai limiti imposti dall’infrastruttura IT legacy. L’acquisto di hardware e la manutenzione di enormi data center per l’esecuzione dei sistemi informatici appartengono al passato: la gestione e la manutenzione dell’infrastruttura sono semplicemente troppo costose. Un recente sondaggio di Gartner ha rivelato che oltre l’80% dei CIO ritiene che l’Infrastructure-as-a-Service (IaaS) sia un’opzione perseguibile e il 10% degli stessi già la considera la scelta predefinita per l’infrastruttura. L’utilizzo di un’infrastruttura con un modello di servizio elastico e con pagamento in base al consumo non solo riduce i costi e le preoccupazioni, ma consente inoltre alle organizzazioni IT di dedicarsi all’innovazione per favorire la crescita aziendale.
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ampio, accesso, risorse, misurabile, pubblico, privato, ibrido
    
Oracle
Published By: Oracle     Published Date: Feb 28, 2018
Per avere successo nella realtà competitiva di oggi, le aziende devono svincolarsi dai limiti imposti dall’infrastruttura IT legacy. L’acquisto di hardware e la manutenzione di enormi data center per l’esecuzione dei sistemi informatici appartengono al passato: la gestione e la manutenzione dell’infrastruttura sono semplicemente troppo costose. Un recente sondaggio di Gartner ha rivelato che oltre l’80% dei CIO ritiene che l’Infrastructure-as-a-Service (IaaS) sia un’opzione perseguibile e il 10% degli stessi già la considera la scelta predefinita per l’infrastruttura. L’utilizzo di un’infrastruttura con un modello di servizio elastico e con pagamento in base al consumo non solo riduce i costi e le preoccupazioni, ma consente inoltre alle organizzazioni IT di dedicarsi all’innovazione per favorire la crescita aziendale.
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ampio, accesso, risorse, misurabile, pubblico, privato, ibrido
    
Oracle
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