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Published By: HERE Technologies     Published Date: Jan 22, 2019
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data. Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects. This case study details how HERE Technologies enabled the City of Toronto’s transportation team to: Work smarter with comprehensive network coverage and accurate data to aid analysis Examine the impact of city projects without significant forward planning or expenditure Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
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public sector, urbanization, traffic management
    
HERE Technologies
Published By: NTT Ltd.     Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include: - Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives - Solution lab for Co-Innovation and Proof of Concepts - Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks - Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption - Flexible Delivery - Rapid Development Factory, Shared Services Find more details in this deck.
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NTT Ltd.
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
• Do you want to win with AI in the hybrid, multi cloud world? Are you tackling data, algorithms and apps to drive business value from AI? We got you covered. Come and learn how you can simplify and scale your AI projects on Watson Studio. Hybrid cloud use cases spanning cloud, desktop and local are featured. Key Takeaways: • Open, trustworthy and secure approach to put AI to work for business • Go live and scale faster with AI-infused platform • Build train and deploy models across hybrid, cloud environments – including popular public cloud environments like AWS and Azure • Flexibility for cloud, on-premise and desktop deployment, bringing algorithms to wherever data resides • Progressing your AI/data science with Watson Studio • Register now and get ready to simplify and scale your AI investments to work for your business.
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Group M_IBM Q119
Published By: SAS     Published Date: Dec 20, 2018
Think of the self-service things you use in a day. Gas pumps. ATMs. Online apps for shopping. They’re convenient and easy to use. People choose what they want, when they want – without involving others in their minute-to-minute decisions. What if your organization could treat data discovery and analytics the same way? SAS has combined two of its visual solutions to do just that. SAS Visual Analytics and SAS Visual Statistics share the same web-based interface to provide self-service data exploration and easy-to-use interactive predictive analytics in a collaborative environment. This white paper takes a look at this convergence and outlines how these products can be used together so that everyone, even nontechnical users, can investigate data on their own, create analytical models and uncover new insights that drive competitive differentiation. Your analytics journey just got a lot easier.
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SAS
Published By: AWS     Published Date: Dec 19, 2018
Some organizations are reluctant to migrate to the cloud because they believe they will be forced to learn new skills, start using new tools, and adopt new processes. However, by deploying VMware Cloud on AWS, your organization can continue to leverage existing, familiar VMware investments. This on-demand service delivers a powerful hybrid cloud solution, combining an industry leader in virtualization, VMware, with the largest cloud provider, Amazon Web Services (AWS). One of the first solution providers to achieve the VMware Solution Competency and a participant in the AWS Partner Initiative for VMware Cloud on AWS, RoundTower is uniquely qualified to help your organization adopt and optimize VMware Cloud on AWS. Watch this webinar to see how they can extend your on-premises data center to AWS, enabling you to gain increased flexibility, a rapidly scalable environment, and faster time to innovation. Download our webinar to learn How to take advantage of flexible consumption models t
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AWS
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: Gigamon     Published Date: Dec 13, 2018
Perimeter-based solutions for network security do not work, leading to tool sprawl and performance issues. Read CSO Magazine’s interview with Gigamon CISO, Simon Gibson, to learn why a new, more intelligent approach is needed to build resilience into technology operations. “Security Should Be an Enabler” talks about an architectural approach that distributes only relevant data to appropriate tools, enabling an adaptable, simplified model at a reduced cost. Read now.
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Gigamon
Published By: HERE Technologies     Published Date: Dec 05, 2018
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater. Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes. HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
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traffic data, auto, location data
    
HERE Technologies
Published By: BetterUp     Published Date: Dec 05, 2018
"As HR investments become more data-driven, coaching must deliver on its ROI evidence gap. At BetterUp, we’ve created a model that can effectively measure the impact of coaching on the bottom line. Download our paper to learn: - How coaching ROI has been measured in the past, and why these methods are flawed - Which inputs are factored into our ROI algorithm - How we map the ROI of coaching to tangible business results"
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BetterUp
Published By: T Systems     Published Date: Nov 28, 2018
The wait is over. Here at T-Systems, we are proud to present the findings of CXP Group - a leading independent European research and advisory firm in the field of digital, software and IT services. Their new “Digital Industrial Transformation with the Internet of Things” report examines the dynamic range of opportunities that IoT holds for businesses and explores the challenges of integrating existing data processes with those that are IoT enabled. The report is the result of the feedback cultivated from interviews with senior business and IT decision-makers responsible for creating and running innovation strategies at 250 large-scale European manufacturers. The data has been disseminated by region, strategies, pain points, IoT adoption, intention, investment etc. and provides readers with a detailed examination of what industrial businesses look for most from IoT. The report provides a fascinating unearthing of influencing factors for IoT readiness and digitization as a whole. Using
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industrial manufacture, iot, internet of things, iot adoption, european, digitization, digitization strategy, value chains
    
T Systems
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: Dell EMC     Published Date: Nov 26, 2018
Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors
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Dell EMC
Published By: AWS     Published Date: Nov 12, 2018
If your organization runs VMware vSphere-based cloud infrastructure in your on-premises data center, but you have been reluctant to migrate applications to the cloud for fear of losing some VMware vSphere-based cloud capabilities, VMware Cloud on AWS solves this problem by seamlessly integrating your familiar VMware virtualization and cloud management tools with Amazon Web Services (AWS). Many organizations believe that moving their applications to the cloud makes it necessary to introduce new tools, skills, and processes. This can present a new set of challenges because learning to use new tools, applying new skills, and adapting to new processes can be costly and time-consuming. In this eBook, we dive deeper into how these challenges can hinder hybrid cloud adoption and cover how VMware Cloud on AWS can help your organization overcome these challenges. Join our webinar to learn How to take advantage of flexible consumption models to align hybrid cloud adoption with your business
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AWS
Published By: Turbonomic     Published Date: Nov 12, 2018
The hybrid cloud has been heralded as a promising IT operational model enabling enterprises to maintain security and control over the infrastructure on which their applications run. At the same time, it promises to maximize ROI from their local data center and leverage public cloud infrastructure for an occasional demand spike. Public clouds are relatively new in the IT landscape and their adoption has accelerated over the last few years with multiple vendors now offering solutions as well as improved on-ramps for workloads to ease the adoption of a hybrid cloud model. With these advances and the ability to choose between a local data center and multiple public cloud offerings, one fundamental question must still be answered: What, when and where to run workloads to assure performance while maximizing efficiency? In this whitepaper, we explore some of the players in Infrastructure-as-a-Service (IaaS) and hybrid cloud, the challenges surrounding effective implementation, and how t
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Turbonomic
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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Druva
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. Protecting these virtualized environments, however, as well as the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs.
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Druva
Published By: HERE Technologies     Published Date: Oct 16, 2018
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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HERE Technologies
Published By: VMware     Published Date: Oct 02, 2018
VMware surveyed approximately 200 senior IT leaders at enterprise, commercial, and SMB organizations worldwide to shed light on the evolving role of IT. In the face of increased pressures, IT oganizations are needing to accelerate development and delivery of applications that power faster time-to-market for the business. In this paper, we chart the progress of CIOs, CTOs and other IT leaders and discuss the top challenges they face in building more nimble, responsive organizations to support their business objectives. We also show how data centre modernization can help organizations deliver the agility required to meet ever-increasing demands for faster innovation through a flexible, service-oriented IT model that employs both private and public clouds. Submit the form to discover the access this latest paper and set the pace in today’s digital economy.
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VMware
Published By: HERE Technologies     Published Date: Sep 26, 2018
Mobile has become the first screen for consumers in terms of internet time spent. Hyperlocal location data is unique to mobile and provides a lot of new, valuable information about consumers. Today’s sophisticated buyers demand more transparency in location data science, better campaign performance and ROI from attribution modeling. Finding the right partner that can help build the bridge between real-world consumer behavior and mobile programmatic advertising in a transparent way is essential. To meet those challenges and address the demand for top quality location data, adsquare integrated a global database of HERE Places in April 2017. By leveraging HERE Places and overlaying raw location data of anonymous users with POI data points, adsquare is able to understand exactly what consumers are doing in the real world: what places they visit, when and how often. To find out more download this paper today.
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HERE Technologies
Published By: Group M_IBM Q418     Published Date: Sep 25, 2018
As of May 25, 2018, organizations around the world—not just those based in the EU—need to be prepared to meet the requirements outlined within the EU General Data Protection Regulation (GDPR). Those requirements apply to any organization doing business with any of the more than 700 million EU residents, whether or not it has a physical presence in the EU. IBM® Security can help your organization secure and protect personal data with a holistic GDPR-focused Framework that includes software, services and GDPR-specific tools. With deep industry expertise, established delivery models and key insights gained from helping organizations like yours navigate complex regulatory environments, IBM is well positioned to help you assess your needs, identify your challenges and get your GDPR program up and running.
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Group M_IBM Q418
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
At a Glance Today’s workforce has grown accustomed to using personal technologies that make communication easy and simplify their lives. But many enterprise tools haven’t kept pace. Most current project and portfolio management solutions fail to provide simple ways of performing everyday tasks. They don’t facilitate contextual communication that would help to solve problems, and they lack key functionality: the ability to narrow the focus to relevant data, to drill down for additional information and to efficiently forecast financials and model outcomes. Download this whitepaper now to see how CA PPM brings more value to your business by providing 15 key features that remain unaddressed by other products on the market today.
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CA Technologies EMEA
Published By: Group M_IBM Q418     Published Date: Sep 10, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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Group M_IBM Q418
Published By: SAS     Published Date: Aug 28, 2018
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
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SAS
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