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Results 1 - 25 of 921Sort Results By: Published Date | Title | Company Name
Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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iiot, medical device, life sciences, machine learning, 3d modeling, digital twin
    
Dassault Systèmes
Published By: Dassault Systèmes     Published Date: Nov 12, 2019
The Life Sciences industry has changed significantly over the past 10 years. With a view to developing new, more effective treatments, industry leaders are exploring new therapeutic areas and approaches like biologics and precision medicine. To address this shift, pharmaceutical and medical devices manufacturers look to connect systems, people and data - characterized by more predictive and adoptive facilities that leverage machine learning, 3D modeling, Industrial Internet of Things (IIOT), digital twin, and augmented reality. This eBook explains the main challenges of manufacturing and explores 5 manufacturing experiences that disrupt the future of manufacturing in the Life Sciences industry.
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Dassault Systèmes
Published By: Oracle EMEA     Published Date: Nov 12, 2019
This webinar demonstrates how connected data changes everything. In an autonomous world you’ll take the lead, becoming central to your company’s success. Machine learning will take care of the day-to-day maintenance leaving you to focus on design, analytics and strategy. And crucially, you’ll find yourself empowering and inspiring your colleagues to gain their own insights from real- time data.
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Oracle EMEA
Published By: SAS     Published Date: Nov 08, 2019
As organizations continue to adopt predictive analytics, many are struggling to make it stick. Challenges include skills, executive and organizational support, and data infrastructure issues. Many organizations have not considered how to practically put analytics to work, given the organizational, technology, process, and deployment issues they face. Addressing these issues involves a combination of traditional and new technologies and practices. Some practical considerations highlighted in this report include: Model Development, Infrastructure and Operational Process.
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SAS
Published By: TIBCO Software     Published Date: Nov 07, 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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TIBCO Software
Published By: TIBCO Software     Published Date: Nov 07, 2019
What if you could use just one platform to detect all types of major financial crimes? One platform to handle the analytical tasks of fraud detection, including: Data processing and aggregation Data visualization Statistical/mathematical/machine learning modeling Batch/real-time scoring One platform that could successfully reduce complex and time-consuming fraud investigations by combining extremely different domains of knowledge including Business, Economics, Finance, and Law. A platform that can cover payments, credit card transactions, and know your customer (KYC) processes, as well as similar use cases like anti-money laundering (AML), trade surveillance, and crimes such as insurance claims fraud. Learn more about TIBCO's comprehensive software capabilities behind tackling all these types of fraud in this in depth whitepaper.
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TIBCO Software
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
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: 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: Shell - Greases     Published Date: Nov 05, 2019
Ongeacht om welke industrie het gaat, machines werken effectiever als de best bewezen smeerprocessen worden geïmplementeerd. Optimale prestaties zijn essentieel, dus elke verbetering in efficiency die gerealiseerd wordt – hoe klein ook – kan een groot verschil maken in de winstgevendheid van een bedrijf. Met dit in gedachte heeft Shell de hoogwaardige smeervetten in een Lube-Shuttle® schroefcartridgesysteem geïntroduceerd. Lube-Shuttle® maakt smeren makkelijker en zorgt voor minder gedoe – het is snel, eenvoudig en schoon. Bovendien kunnen Lube-Shuttle® schroefcartridges in slechts drie simpele stappen worden vervangen: de dop eraf schroeven, de cartridge in het smeerpistool plaatsen en weer dichtdraaien. Ontluchten is niet nodig – alleen een klein duwtje op de opvolgzuiger onderop om het smeren te laten beginnen. Vanaf nu betekent een “lege” cartridge niet meer dat er toch nog een klein beetje vet in de cartridge achterblijft. Door de manier waarop de opvolgzuigers van de Lube-Shuttle
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Shell - Greases
Published By: DigitalOcean, LLC     Published Date: Nov 04, 2019
DigitalOcean commissioned Cloud Spectator to evaluate the performance of virtual machines (VMs) from three different Cloud Service Providers (CSPs): Amazon Web Services, Google Compute Engine and DigitalOcean. Cloud Spectator tested the various VMs to evaluate the CPU performance, Random Access Memory (RAM) and storage read and write performance of each provider’s VMs. The purpose of the study was to understand Cloud service performance among major Cloud providers with similarly-sized VMs using a standardized, repeatable testing methodology. Based on the analysis, DigitalOcean’s VM performance was superior in nearly all measured VM performance dimensions, and DigitalOcean provides some of the most compelling performance per dollar available in the industry.
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DigitalOcean, LLC
Published By: DigitalOcean, LLC     Published Date: Nov 04, 2019
Over the last several years, DigitalOcean has built out its feature set in a way that has taken it from a provider of cheap and simple virtual machines (VMs) to a legitimate public cloud alternative, most recently adding support for Redis and MySQL to its managed database services. As its services evolve, it continues to experience healthy growth and maintain popularity among the independent developer audience. Over the past two years, DigitalOcean has accelerated the velocity of its feature development, looking to better meet the needs of a business audience. By emphasizing a simplified feature set, pricing structure and user experience, even as it expands its competitive footprint in the shadow of public cloud vendors such as Amazon Web Service (AWS), Microsoft Azure and Google Cloud Platform (GCP), Digital Ocean continues to help define what it means to be an alternative public cloud in a market dominated and largely defined by hyperscalers.
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DigitalOcean, LLC
Published By: Dell - NVIDIA     Published Date: Nov 04, 2019
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) technologies are expected to permeate day-to-day business as well as customer activity. Industries such as healthcare (advanced diagnosis and treatment), transportation (advanced driver assistance systems and autonomous vehicles), and life sciences (rare disease treatment research) are some of the early adopters of AI. The goal for any organization adopting AI/ML/DL is to deliver meaningful insights and predictions that can significantly improve products, processes, or services across industries and use cases. Today, as AI becomes mainstream, many organizations find themselves in the initial proof-of-concept (POC) stage; only a few are in full production. IDC's 2019 Artificial Intelligence Global Adoption Trends and Strategies Survey found that 18% of organizations had AI models in production, 16% were in the POC stage, and 15% were experimenting with AI.
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Dell - NVIDIA
Published By: Dell EMC     Published Date: Nov 01, 2019
Workstations are often crucial for development and use of manufactured machines. Voxeleron is a case in point. The healthcare-focused company turned to the Dell Tower Workstation, capable of housing two Intel® Xeon® CPUs, three NVIDIA Quadro GV100 GPUs, lots of memory, and large storage capacity, and optimized to accelerate AI analysis of 3D imaging and deep-learning research from the scans of the optical coherence tomography (OCT) machines. “Learn more about Dell solutions powered by Intel®.
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Dell EMC
Published By: Google - SAP     Published Date: Nov 01, 2019
"Report: 2019 Predictions for Customer Data Management Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019? In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace. You’ll discover: Forecasts for the future of data protection and consumer privacy regulations Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
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Google - SAP
Published By: Google - SAP     Published Date: Nov 01, 2019
"SAP has been ranked a leader in the latest Gartner Magic Quadrant for Configure, Price and Quote Application Suites (Nov 2018). According to Gartner, SAP is a Leader due to its comprehensive, integrated quote-to-cash suite, which includes lead generation, lead management, sales performance management and contract life cycle management. CallidusCloud was acquired by SAP in April 2018 and is now offered as a component of SAP Sales Cloud. SAP’s CPQ capabilities are built on .NET and offered as a multitenant SaaS solution. Key Quotes & Commentary: CRM solution integration: SAP CPQ integrates with Salesforce Sales Cloud, Microsoft Dynamics 365, SAP Hybris Sales Cloud, Netsuite and SugarCRM. This is a key point as it calms any potential fears customers might have about the openness of SAP’s Sales Cloud. Multichannel support: SAP CPQ supports direct sales, resellers and customer self-service channels with a comprehensive set of features. AI/Machine Learning. Product recommendation
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Google - SAP
Published By: Shell U.K. Limited     Published Date: Oct 30, 2019
Goede smering is essentieel voor productiebedrijven. Het zorgt voor lagere onderhoudskosten en hogere productiviteit, wat vervolgens de total cost of ownership (TCO) verlaagt. Zes van de tien bedrijven weten echter niet goed dat smering bijdraagt aan het voorkomen van onvoorziene uitval en daarmee de beschikbaarheid van machines verhoogd. Met dit in gedachten is Shell Corena S3 RX ontwikkeld. Het biedt bedrijven een eenvoudige oplossing voor de meest dringende aandachtspunten bij hun productieactiviteiten. Als eerste compressorolie op basis van Gas-To-Liquids-technologie (GTL) op de markt biedt Shell Corena S3 RX: langere levensduur van de olie, minder olie in de perslucht en hogere efficiëntie. Dit resulteert in meer productiviteit op de lange termijn en een lagere TCO. De smeerproducten van Shell worden gemaakt in nauwe samenwerking met OEM's en klanten. Bij de ontwikkeling ervan wordt specifiek rekening gehouden met de eisen en wensen van productiebedrijven, wat al voor minstens 1
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Shell U.K. Limited
Published By: Five9     Published Date: Oct 29, 2019
Today’s organizations compete on customer experience and this trend will define the shape and scope of contact centers well into the next decade. To deliver the level of seamless experiences that customers expect, contact centers will need to harness all the advantages technology can offer – specifically, the cloud – to create an “intelligent cloud contact center” that utilizes machine learning and real-time data analysis. So, step one is to move your contact center to the cloud. ASAP. Once you are operating a cloud contact center, the next step is to start leveraging everything this enables you to do. This is where the “Intelligent Cloud Contact Center” comes into play.”
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Five9
Published By: Schneider Electric     Published Date: Oct 28, 2019
Pour garder une longueur d’avance sur l’évolution des centres de données, les entreprises doivent envisager la surveillance numérique à distance. Le présent document traite de l’impact de la surveillance numérique à distance sur ces zones : ?Amélioration des performances et des coûts des systèmes embarqués ?Cybersécurité ?Cloud computing ?Analyses de mégadonnées ?Informatique mobile ?Apprentissage machine ?Automatisation pour l’efficacité de la main d’œuvre Votre entreprise sera-t-elle en mesure de garder une longueur d’avance ? Téléchargez le livre blanc pour le découvrir.
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des centres de données, colocation, schneider electric
    
Schneider Electric
Published By: Alert Logic     Published Date: Oct 25, 2019
Container adoption continues to grow as organizations look to transition from virtual machines to microservices-based architectures, known for their increased efficiency, portability, and scalability. But while containers afford an additional layer of security through their ability to isolate applications, a containerized environment is still susceptible to malicious attacks between containers or the within the shared resources of the underlying host. Download this eBook to learn how you can develop a stronger security strategy for your AWS container deployments, from start to finish. Key takeaways include: • Planning for maximum portability • Setting permissions for users and system resources • Creating an action plan based on log monitoring and IDS data
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Alert Logic
Published By: ServiceNow     Published Date: Oct 24, 2019
Learn how ServiceNow has been applying machine learning and analytics with AIOps to help you cut through event noise to create actionable signals, identify service outages and degradations, remediate service and infrastructure issues accurately, and drive continuous improvement in service quality
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servicenow, business, services, ops, analytics
    
ServiceNow
Published By: HERE Technologies     Published Date: Oct 23, 2019
Have a conversation with anyone about how the changing nature of technology is affecting our world, and artificial intelligence (AI) will invariably come up. It has the potential to change all industries in ways we’ve never experienced. The promise of AI is that it will make our lives better, with more lower-level tasks being automated, freeing us up to focus on higher-level endeavors. Automation promises to complete tasks with more efficiency than humans do, and can continually improve through machine learning.
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HERE Technologies
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: Schneider Electric     Published Date: Oct 17, 2019
Powered by Smart machines, the new industrial revolution is changing how machine builders design and manufactures operate today and in the future. To remain competitive and profitable, plants and machines will have to be smarter- better connected, more efficient, more flexible and safe. This paper explains the impact of smart machines on the industrial automation and controls businesses and provides guidance for adapting to a changing industrial landscape.
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iiot, industry 4.0, control panel, industrial automation, smart manufacturing, smart machines, smart maintenance
    
Schneider Electric
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