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life sciences

Results 1 - 25 of 69Sort Results By: Published Date | Title | Company Name
By: Larsen & Toubro Infotech(LTI)     Published Date: Nov 07, 2019
Automation in ERP, CMS and vendor management. Streamlined inventory and logistics management. Reduction in manual errors and an increase in quality and efficiency. All this and a lot more can happen to heal inefficiency and unproductivity at your Life Sciences enterprise. All it takes is a healthy dose of RPA. A must-read.
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Larsen & Toubro Infotech(LTI)
By: Larsen & Toubro Infotech(LTI)     Published Date: Nov 07, 2019
Imprecision, inefficiency, delays in processing and an unengaged workforce can be a big problem even for a Fortune 500 Life Sciences enterprise. Here’s how our RPA-led digital transformation refreshed and rejuvenated the processes of this organisation. #DigitalTransformation #Robotics #LifeSciences #Fortune500
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Larsen & Toubro Infotech(LTI)
By: Group M_IBM Q4'19     Published Date: Sep 26, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more. "The mandate for procurement organizations is clear – cost reduction alone no longer ensures success; creating value is equally important. How was Horizon Blue Cross Blue Shield able to achieve their desired future state? In this webinar, we will discuss: • Why procurement needs a strategic makeover, the current adoption of emerging technologies by procurement, and the challenges faced by procurement exec
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Group M_IBM Q4'19
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
By: SAP     Published Date: Oct 11, 2018
Life sciences is an industry on the move. Driven by regulatory changes, manufacturing capacity, and margin pressures, the industry’s supply chain and procurement leaders are relying heavily on contract manufacturing organizations (CMOs). These relationships require new ways of managing product quality and costs across the supply network. Learn how a true digital strategy can optimize internal and external processes – and extend them beyond the enterprise – so you can excel in today’s complex market.
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SAP
By: SAP Ariba     Published Date: Oct 11, 2018
Life sciences is an industry on the move. Driven by regulatory changes, manufacturing capacity, and margin pressures, the industry’s supply chain and procurement leaders are relying heavily on contract manufacturing organizations (CMOs). These relationships require new ways of managing product quality and costs across the supply network. Learn how a true digital strategy can optimize internal and external processes – and extend them beyond the enterprise – so you can excel in today’s complex market.
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SAP Ariba
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
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, support commercial activities, integrated compliance, decision-making process, it strategy, migration strategies, it management, business integration, business intelligence
    
Collaborative Consulting
By: SAS     Published Date: Nov 04, 2015
In a panel discussion at the 12th annual SAS Health Analytics Executive Forum in May 2015, leaders from Dignity Health, Horizon Blue Cross Blue Shield of New Jersey, Janssen Pharmaceuticals and SAS shared what they have done to prove the value of analytics to their business leaders – and what has worked for them as they developed an analytic culture in their organizations and put analytic insights to work.
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sas, healthcare, healthcare models, episode analytics, analytics, data management
    
SAS
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
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
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
By: Pure Storage     Published Date: Nov 02, 2017
Pure Storage has significant expertise creating scalable, enterprise-class, flash-optimized storage platforms, and with FlashBlade, Pure Storage has crafted a turnkey, purpose-built platform that is well suited to cost effectively handle the performance and capacity requirements of genomics workflows. Pure Storage has differentiated itself from more established enterprise storage providers by delivering an industry-leading customer experience, as shown by its extremely high NPS, indicating it knows how to meet and is committed to meeting customer requirements. Whether genomics practitioners plan an on-premises deployment or a cloud-based deployment for their genomics workflows, they should consider the performance, cost, and patient care advantages of the Pure Storage FlashBlade when choosing a platform, particularly if they plan to retain data for a long time and use it frequently.
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results, management complexity, high costs, new flash array, afa, pure storage, market, scale ability
    
Pure Storage
By: UPS     Published Date: May 24, 2017
For life sciences businesses, the supply chain used to mean one thing: getting products from factory or warehouse to distributors or ultimate customers as quickly and economically as possible. Now, with today’s evolving regulatory environment, an increasingly globalized market, more complex health products, and an increased focus on the patient, pharmaceutical companies and medical device manufacturers are looking at their supply chain and logistics needs in a whole new way.
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health care, supply chain, ups, business, science
    
UPS
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, digital, technologies
    
SAP
By: EMC Corporation     Published Date: Feb 13, 2015
Clutch Group provides litigation, compliance, and legal services to major Fortune 500 companies in sectors with large legal exposure (Finance, Life Sciences, Natural Resources, etc.). By using purpose-built technology solutions to extract deep insights from large data volumes, the company transformed its business approach of helping client firms make better legal decisions.
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all-flash-array, purpose-built technology, large data volumes, business approach, legal decisions, data management
    
EMC Corporation
By: Merkle     Published Date: Sep 26, 2012
Download this white paper for a deeper look into the growing question surrounding the pharmaceutical industry--If customer centricity is so widely accepted as a way to unlock significant financial gains, why are companies so slow to adopt it?
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crm, customer relationship amangement, customer centricity, connected crm, pharmaceuticals
    
Merkle
By: Group M_IBM Q2'19     Published Date: May 31, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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Group M_IBM Q2'19
By: Group M_IBM Q3'19     Published Date: Aug 13, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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Group M_IBM Q3'19
By: Group M_IBM Q3'19     Published Date: Aug 13, 2019
In the Garage, you work side by side with IBM experts to create first-of-a-kind MVPs, experiment with emerging technologies and quickly learn from failures. In this webinar hear from Ed Forman, Partner of Cognitive Process Transformation at IBM. Ed has partnered with organizations across industries including automotive, life sciences, financial services and telecommunications. In his work with the IBM Garage he has helped shape an award-winning method for innovation that has transformed business models for Fortune 500 clients. Listen to this 30-minute presentation to find out more.
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Group M_IBM Q3'19
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
By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic
By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic
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
By: AWS     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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AWS
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