product intelligence

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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: Cisco EMEA     Published Date: Mar 05, 2018
Advanced Technology is having a growing impact on our everyday lives. Adoption of advanced technologies and virtual assistants such as Amazon Echo and Google Home are becoming more mainstream in homes. Meanwhile organizations worldwide are increasingly looking at how to implement similar technologies to improve productivity, speed workflows, and increase collaboration among employees, business partners, and even customers. To date, little is known about perceptions of technologies such as artificial intelligence (AI) and virtual assistants in the workplace and how they will impact how we work in the future.
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technology, customers, enterprise, business
    
Cisco EMEA
Published By: Cisco EMEA     Published Date: Nov 08, 2018
Digital transformation (DX) — a technology-driven business strategy — enables firms to gain or expand their competitive differentiation by embracing data-driven decision-making processes, whether for increasing operational efficiencies, developing new products and services, increasing customer satisfaction and retention, or getting a better intelligence on the market. Big Data and analytics (BDA) applications form the foundation for enterprisewide digital transformation initiatives. To find out more download this whitepaper today.
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Cisco EMEA
Published By: Hewlett Packard Enterprise     Published Date: Feb 08, 2017
Everybody knows that improving your technology should increase business productivity. Download this asset to learn how to build a modern IT infrastructure. Sponsored by: HPE and Intel®
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best practices, business optimization, business management, productivity, business intelligence
    
Hewlett Packard Enterprise
Published By: SAS     Published Date: Jan 17, 2018
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
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SAS
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, you’ll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: Adobe     Published Date: Apr 23, 2018
Adobe sits at the nexus of content, media, and marketing. Adobe provides an EMSS offering spanning marketing, advertising, analytics, and content management capabilities. Of the vendors included this study, Adobe maintains the highest degree of overall strategic focus on marketing and consumer engagement. Adobe is investing heavily in its platform’s core services to unify data, content, and shared functionality across products. Adobe stands out for its digital intelligence, content handling, and aggressive rollout of AI features. Reference clients praise Adobe for their application usability and account management.
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Adobe
Published By: Oracle     Published Date: May 08, 2019
Oracle DBAs Share Insights about the Future of Cloud, Security, Artificial Intelligence, and Autonomous Computing. This year, in addition to canvasing analysts, pundits, and executives for their strategic insights, Oracle is interested in the tactical views, predictions, and opinions of master DBAs, database product experts, and Oracle ACE Directors. We gathered insights about database management, security, artificial intelligence, autonomous computing, and many other topics and cover how future trends will impact DBA careers during 2019, and beyond. The Intelligent Enterprise Era. Download predictions.
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Oracle
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: SAP     Published Date: Sep 19, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: SAP     Published Date: Sep 28, 2017
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.
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business models, innovation, omni channel, ecommerce, commerce platform, retail
    
SAP
Published By: Dell EMC     Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to: • Improve productivity of internal applications • Increase revenue through enhanced customer interacton and improved customer acquisiiton • Reduce costs by optimizing operations • Enhance products and services with "smart" functionality such as vision and voice interaction and control This paper provided by Dell and Intel® gives executi
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Dell EMC
Published By: Bazaarvoice     Published Date: Aug 12, 2013
Thanks to social, consumers are more vocal than ever and their opinions are influencing the purchase decisions of consumers all across the web. Learn how to turn social data into strategic business advantage with nine guiding insights to improve your bottom line today.
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product insights, consumer engagement, business intelligence, consumer insights
    
Bazaarvoice
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
Modern solutions like CA PPM continue to raise the bar above last-generation IT demand management tools, continuously providing new features to ease the burden of the PMO, the financial manager, the resource manager and the product manager. In the last few years, new vendors looking to exploit the large and increasingly influential project and portfolio management (PPM) market have developed modules that “snap” into their SaaS platforms. These vendors claim their tools are easy to install, easy to manage and save customers money. It sounds too good to be true. And for most organizations, it is. Carefully consider whether you need a PPM solution that is only capable of providing low-level functionality for the project manager, or if your organization could benefit from PPM technology that provides 360-degree optics across your organization, delivers actionable business intelligence and enables extensive modeling and forecasting capabilities to make data-driven business decisions.
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CA Technologies EMEA
Published By: Cognizant     Published Date: Oct 23, 2018
A group of emerging technologies is rapidly creating numerous opportunities for life sciences companies to improve productivity, enhance patient care and ensure regulatory compliance. These technologies include robotic process automation (RPA), artificial intelligence (AI), machine learning (ML), blockchain, the Internet of Things (IoT), 3-D printing and augmented reality/ virtual reality (AR/ VR). This whitepaper presents a preview of five pivotal technology trends remaking the life sciences industry: AI and automation, human augmentation, edge analytics/ processing, data ownership and protection, and the intermingling of products and services.
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cognizant, life sciences, patient care
    
Cognizant
Published By: Intel     Published Date: Apr 11, 2019
Robots play a major role in making manufacturing processes more efficient and less labor intensive. They can help control costs and improve quality, as well as increase productivity. The complexity of robotic system design, however, creates obstacles for many manufacturers, and this is made more difficult by the need to identify and integrate subsystems from multiple vendors. NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution integrating artificial intelligence (AI) with machine vision and powered by the new Intel® Vision Accelerator Design products. The solution brings together the insight of artificial intelligence, the mobility of robotics, and the capabilities of machine vision, providing a new level of precision and optimization for manufacturing and industrial implementations
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Intel
Published By: Dassault Systèmes     Published Date: Nov 11, 2019
What challenges do companies have to face today? How can they successfully digitize their production? Not only connectivity, artificial intelligence and flexible automation play an important role. When it comes to the strategy and implementation of digital manufacturing, the same missteps are often made. In order to capture and preserve the value of digital technologies, there are six essential factors to consider. Learn more and download the McKinsey report "6 factors for a successful digital manufacturing transformation”.
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Dassault Systèmes
Published By: IBM     Published Date: Jun 13, 2018
In the digital era, businesses in every industry are becoming technology companies. New business models such as “product as a service” (in which traditional manufacturers and distributors are driving new revenue streams by integrating software-based services into their offerings) and new operational models, such as collaboration, social business, and mobile platforms, mean that nearly every company is deriving at least part of its revenue from cloudbased solutions. So, why are so many of these new cloud solution providers building their businesses on shaky foundations? The truth is, when your business is based in the cloud, you need more than on-demand leased compute and storage capacity. You need a cloud that is enterprise-grade, secure, and resilient. Equally important—and overlooked by too many cloud solution providers—you need a cloud platform that is able to grow your business into the future, supporting next-generation functionality like Artificial Intelligence (AI). No matter wh
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IBM
Published By: IBM APAC     Published Date: Jun 24, 2019
Your security products send alerts when a cyber attack strikes. Your incident response plan tells you what to do to block the attacker’s action and recover normal operations. But do you know how or where the attacker was able to get into your environment? Do you understand the tactics, techniques and procedures the attacker used? In short, to move to the next level of security, organizations need a way to both understand and manage threat intelligence. Because an organization that can uncover the context of a threat can also better respond to it. Learn more about the impact of security threats from this whitepaper. Join the IBM Security online community to learn from the shared knowledge and experiences of your peers and IBM Cyber Elites to tackle complex business problems.
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IBM APAC
Published By: Exabeam     Published Date: Sep 25, 2017
The Exabeam Security Intelligence Platform addresses every key weakness of existing SIEM solutions: Cost, Intelligence, and Productivity. This paper describes the challenges of security intelligence and how Exabeam specifically overcomes them.
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Exabeam
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
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customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: Esker     Published Date: Feb 03, 2017
Order processing is most efficient when manual touch points are minimized. But when orders come in by fax or email, what’s the best way to handle them? Read our eBook, Addressing Manual Order Management, to learn how 100% electronic order processing can be achieved via one universal automation platform. Download this eBook to discover how to: Make every order electronic Allow customers to send fax/emails Increase speed, visibility & accuracy Eliminate manual data entry Manage growth without adding staff
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best practices, business optimization, business management, productivity, business intelligence, business process automation, business process management
    
Esker
Published By: Esker     Published Date: Feb 03, 2017
The overall success and competitiveness of a company can be directly tied to the efficiency of its order management process. If you’re fed up with the low visibility, high costs, and inefficiency of fax, email and EDI order processing, here are 9 reasons why order processing automation in an SAP environment is a brilliant business move for your company. Learn more about Order Processing Automation — download the guidebook today!
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best practices, business optimization, business management, productivity, business intelligence, business process automation
    
Esker
Published By: Drillinginfo     Published Date: Nov 26, 2015
In this PDF you’ll learn how Drillinginfo (DI) provides accurate, current rig data in the Permian Basin. From permitting and leasing information to rig locations and pricing trends, you’ll find products and solutions to help transform how OFS companies drive leads. Tracking prospects can be a lucrative opportunity, but rigs move on a daily basis, so you need the latest information. See how DI can drive a company’s success by gathering up-to-the-minute rig intelligence from a single, comprehensive software solution. The Permian Basin Play is seeing a surge of O&E activity, with reports indicating that almost 30% of future oil reserve growth in the U.S. will come from the formation. Does your oilfield service team have an innovative approach to your data source detailed enough to support competitive decision-making? See how to get the most accurate, timely drill-site and well event information to make better, faster decisions and drive the best leads — that can turn into opportunities.
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ofs companies, leads, data, analytical tools, oilfield, leasing information, mobile app, rig intelligence
    
Drillinginfo
Published By: Lookout     Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management
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Lookout
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