product intelligence

Eli Lilly Japan has numerous large and valuable brands, including Humalog and Trulicity. When launching new products, Eli Lilly wants customer—health care providers (HCP) and patients—to have the best possible experiences. This means delivering products that go “beyond the pill.” By embedding its drugs into holistic offerings while leveraging digital channels, real-world evidence, Artificial Intelligence (AI), and automation, Eli Lilly Japan aims to transform customer engagement, leading to competitive advantage and improved patients’ health outcomes.

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

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

This white paper outlines current approaches to implementing SIEM and enriching security products with threat intelligence.

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.

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.

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®

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.

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

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.

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.

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.

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.

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.

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.

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

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.

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.

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

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!

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.

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

Companies that use SAP® need to have a method to access all valuable information that is recorded in order to make the best business decisions and establish a sustainable competitive advantage. With Teradata Analytics for SAP®, Lamb Weston, a global frozen potato product producer, has been able to generate their business intelligence reports quickly and effortlessly. BI that lets you focus on running the business…Download now!

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-c entric 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.

Everywhere you look, companies are using external-facing analytics to maximize the value derived from their data assets, by moving customers up the value chain, increasing stickiness, and offering a more competitive product on the marketplace. Listen to learn about embedding BI software, including; • Top uses cases for embedding business intelligence software • Case studies from different companies currently embedding BI • Build vs buy considerations • Evaluating ROI