life sciences

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Published By: Domino     Published Date: Apr 06, 2018
Domino provides a broad portfolio of innovative industrial coding and marking solutions developed in collaboration with customers in food and beverage, life sciences, manufacturing and other industries. Beyond delivering the latest printing technologies and Industry 4.0 connectivity, Domino brings four decades of knowledge and expertise to help companies maximize productivity and OEE with agility to meet the changing needs of today’s fast-paced world. Domino is more than a mark. Domino printing technologies include thermal transfer overprinting, thermal ink jet, continuous ink jet, print-and-apply labeling, large character inkjet and laser.
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domino, food, beverage, manufacturing, customers
    
Domino
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
Tape's evolving data storage role - Balancing Performance, Availability, Capacity, Energy for long-term data protection and retention
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
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SAS
Published By: ServiceSource     Published Date: Sep 15, 2015
Companies that take a more sophisticated approach to customer success, revenue retention and revenue growth after the initial sale earn 46 percent more revenue compared to their less sophisticated peers, according to a global study conducted in 2015 across software, hardware, SaaS and life sciences companies. The study highlights the urgent need for companies to consider the full range of customer success and revenue growth activities after the initial sale—collectively called the “revenue lifecycle”—which includes onboarding, adoption, upselling/cross-selling, retention and renewal. The study shows that a company that improves people, processes, technology, data and KPIs in the revenue lifecycle can expect to improve renewal rates by more than 31 points.
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ServiceSource
Published By: Seismic     Published Date: May 14, 2019
Seventy percent of healthcare and life sciences companies are looking to digitize their operations to facilitate growth, but only 2% have completed a digital transformation. To remain compliant and improve engagement you need to develop a core infrastructure that’s more effective and efficient and incorporate modern technologies to do so. This e-book reviews the basics of digital transformation, the tools and resources you need to get started, and the plays you’ll need for game time success: ? Play #1: Understand your customers ? Play #2: Evaluate where you stand today ? Play #3: Research modern technology ? Play #4: Plan and implement for game time ? Play #5: Measure your success
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Seismic
Published By: SAS     Published Date: Jun 27, 2019
Hear about real-world use cases that demonstrate how data, advanced analytics, AI and IoMT are helping life sciences companies increase efficiency.
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SAS
Published By: SAP     Published Date: Nov 22, 2017
Consumer industries are facing once in a lifetime changes in the way they engage and interact with their customers and consumers. Whether consumer products, retail, or wholesale, there are two broadly unifying trends. First, consumers have both heightened influence and increased expectations. Second, several largely untapped digital technologies have the potential to enable new capabilities to better satisfy customer needs. For the key consumer industries of agribusiness, consumer products, life sciences, retail, and wholesale, the Internet of Things (IoT) will enable many new opportunities. These industries have a shared goal and challenge: to be able to create and offer engaging end consumer and/or customer experiences at scale. Part of the way that companies will achieve this goal and respond to this challenge is by developing digital transformation (DX) strategies. Such strategies enable new and potentially disruptive capabilities with a broad range of technologies.
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consumer, industries, interactions, customers, products, retails, wholesale, influence
    
SAP
Published By: MarkLogic     Published Date: Mar 29, 2018
It’s your golden opportunity: Rapidly integrate and harmonize data silos. Enhance drug discovery. Achieve faster time to insight. Get to market faster — all with less cost than you think. Explore how Life Sciences organizations can accelerate Real World Evidence (RWE) in a comprehensive and cost efficient manner. Download this white paper to learn about challenges, solutions and most importantly — how to equip your organization for success.
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manufacturers, organizations, integration, optimization, data, quality
    
MarkLogic
Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic
Published By: DocuSign     Published Date: Mar 23, 2016
Download this complimentary whitepaper and discover how DocuSign’s eSignature solutions modernize healthcare and life sciences organizations by eliminating paper and antiquated signature processes while meeting compliance requirements and reducing costs and errors.
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DocuSign
Published By: DocuSign     Published Date: Apr 24, 2018
"The healthcare industry struggles along the entire paper trail from start to finish. The current process is slow, costly, inefficient, full of errors, vulnerable to security breaches and hurts the people they are chartered to care for. Download this complimentary whitepaper and discover how DocuSign’s eSignature solutions modernize healthcare and life sciences organizations by eliminating paper and antiquated signature processes while meeting compliance requirements and reducing costs and errors. You will learn how DocuSign helps the healthcare industry to: • Reduce turnaround times for diagnostic result documents by weeks • Cut excessive administrative expenses and eliminate manual rekeying errors • Increase efficiency by eliminating time spent sending paper forms with doctors’ signatures"
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DocuSign
Published By: Quantum - Quinstreet     Published Date: Aug 10, 2011
This white paper shows how upgrading to LTO-5 technology and consolidating storage onto fewer tapes enables organizations to achieve a 5yr ROI and a 17-month payback period.
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quantum, quinstreet, data deduplication, deduplication, nas, network attached storage, remote replication, virtual tape library
    
Quantum - Quinstreet
Published By: IBM     Published Date: Aug 27, 2014
Whether in education or life sciences, aerospace or oil and gas, your organization needs to innovate faster than ever—at less cost. Yet there is little room for getting it wrong.
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ibm, platform computing, hpc, tco, it spending
    
IBM
Published By: Collaborative Consulting     Published Date: Dec 23, 2013
Commercial launch is a critical and complex period in the Life Sciences product life cycle. The transition from clinical development to commercial operations can seem overwhelming as companies face considerable challenges in transforming from an R&D-driven organization to one focused on achieving in-market business and commercial excellence. Core to successful launches is preparing the company for a whole new raft of capabilities, processes, and relationships, and in doing so there are a number of factors included in this checklist that companies should consider and questions they should answer.
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collaborative consulting, commercial launch, it infrastructure, balance representation, commercialization plan, define and track, iterative process, supply chain management
    
Collaborative Consulting
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: 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: IBM Watson Health     Published Date: Feb 28, 2017
IBM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM Watson Health
Published By: IBM     Published Date: Dec 15, 2016
BM Watson Health aims to transform the drug development process for life sciences – from research to commercialization. IBM Watson for Drug Discovery helps accelerate breakthroughs by enabling researchers to quickly analyze, identify, and prioritize new therapeutic targets and drug combinations for future study.
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ibm, watson, watson health, drug discovery
    
IBM
Published By: Cognizant     Published Date: Oct 23, 2018
Value-based care is the predominant model for enabling the healthcare industry to control costs and deliver better information to consumers. The basic idea is that reimbursements are based on the quality of the outcome of a procedure, episode of care, use of a device or therapy. Under this model, life sciences companies are rewarded for improving health outcomes and/or reducing the costs to achieve those outcomes. It requires life sciences companies to rethink many of their processes, from R&D through the commercial phase. Navigating those momentous shifts requires that life sciences companies embrace a range of digital technologies which will enable a holistic approach to value-based care. This white paper will examine the drive for value-based care, its impact on life sciences companies and how technology platforms can address the challenges the industry is facing.
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cognizant, life sciences, digital
    
Cognizant
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