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Published 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)
Published 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)
Published 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
Published By: MuleSoft     Published Date: Apr 15, 2019
Healthcare organizations across the care continuum, from hospitals and health systems, to health insurers, to life sciences companies, must digitally transform in order to address legislative and market disruption. Driving digital transformation in healthcare requires connectivity across an ever-increasing number of applications, data and devices. Because of this, connectivity has emerged as a bottleneck that slows the development of new applications and the adoption of new technologies. In response, leading healthcare organizations have adopted API-led connectivity, which eliminates this connectivity bottleneck and enables 2-5X IT project delivery. Download this eBook to learn: How leading healthcare organizations like Sutter Health, Premera Blue Cross and Hologic are leveraging API-led connectivity to accelerate IT project delivery speed How APIs can be used to address the unique business and IT challenges faced by health systems, health insurers and life sciences companies How Mu
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MuleSoft
Published By: MuleSoft     Published Date: Apr 15, 2019
The healthcare industry has been affected by disruption and the need for healthcare innovation. Legislative, market, and technology pressures make it imperative for healthcare organizations — including hospitals and health systems, payers, and life sciences companies — to become more agile. IT teams in the industry are considering a microservices-based architecture as a means of accelerating healthcare innovation and increasing project delivery speed. MuleSoft research suggests that application development productivity increases of up to 10x are possible. Healthcare specifically stands to benefit from this architectural paradigm. This whitepaper will address: Why microservices matter for healthcare IT teams and for healthcare innovation Design principles for a microservices architecture How Anypoint Platform can help you implement microservices best practices
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MuleSoft
Published By: MuleSoft     Published Date: Apr 15, 2019
Life sciences companies are facing increasing pressure to provide new products to market faster than ever before while adhering to the growing number of safety and regulatory needs. Pfizer, one of the world's largest pharmaceutical companies, is transforming its business with an application network that enables the scale and speed necessary to compete in the digital economy. Read this whitepaper to learn: How Pfizer achieved a 69% decrease in IT project delivery costs with API-led connectivity. How Pfizer’s application network enabled omnichannel physician engagement and secure clinical data sharing. How Pfizer’s Center for Enablement (C4E) unlocked speed and agility through API reuse across the enterprise.
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MuleSoft
Published By: Spectrum Enterprise     Published Date: Aug 22, 2019
Hello, greetings, and welcome to Conversational Unified Communications. I’m Brien Posey. For those of you who don’t know me, I am a long time Conversational Geek author, and 17-time Microsoft MVP. My professional background is in both IT and in commercial astronautics. It’s an odd combination for sure. I sometimes find myself setting up virtual machines on one day, and being strapped into a space capsule the next day (seriously). Thankfully, Peter, Nick, and the rest of the folks at Conversational Geek have embraced my unorthodox (dare I say eccentric) career choices and have allowed me to author books on subjects ranging from the cloud computing to real life rocket science. I would like to personally invite you to go to ConversationalGeek.com and check out some of these other books. In this book, I want to talk about unified communications. Those of you who follow my work may recall that back in 2009 I wrote another book about unified communications called Brien Posey’s Guide to Pract
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Spectrum Enterprise
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: 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
Published 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
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: Collaborative Consulting     Published Date: Dec 20, 2013
Collaborative helped a research company transitioning to commercialization identify critical timelines, tasks, milestones and resources required to bring a new drug to market. As part of the project, leaders were given the information and tools they needed and the business began building the strong foundation necessary for a successful launch.
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collaborative consulting, biotech organization, case study, launch strategy, biotech company, infrastructure, tailored segment, particular market, collaborative, integrated launch plan, operating systems
    
Collaborative Consulting
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, support commercial activities, integrated compliance, decision-making process, it strategy, migration strategies
    
Collaborative Consulting
Published 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, information technology, practice management
    
SAS
Published By: Oracle     Published Date: Feb 28, 2018
So, while the advertising industry is in the midst of profound change, it’s hard to be certain about the form that it will take in future. There’s good reason to be optimistic, rather than pessimistic. Firstly, as we saw earlier, the proliferation of digital platforms means that there are now more canvases for creativity than ever before. And secondly, recent discoveries in psychology and behavioural science have highlighted how human decision making – in any context – is often unconscious or non-rational. As a result, the range of problems where creative communication can offer a solution is wider than ever previously realised.
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Oracle
Published By: FusionOps     Published Date: Jul 25, 2016
Life science companies are adopting innovative cloud technology to provide a single source of truth for end-to-end supply chain decision-making. Read this CIO interview to learn how H.D. Smith is using FusionOps supply chain intelligence software to improve efficiency, cost, and quality. Interview Highlights: • How to improve time to actionable insights using a cloud platform • How to improve service levels and forecast accuracy through deeper intelligence into the supply chain • How to enable cross-functional collaboration to make better business decisions and drive performance improvement
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FusionOps
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
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: Corrigo     Published Date: Nov 01, 2019
Think about all the ways your life today is different than it was ten years ago. Think about how you shop, how you get around, how you plan travel, and how you stay in touch. So many things that used to be a hassle are now almost effortless. If your life feels different, it’s because you’re living in a new era – what experts are calling the 4th Industrial Revolution. You’ve probably heard some of the more catch-phrased components – big data, artificial intelligence, deep analytics. Some of these still seem like science fiction, but they are very real, very active, and crucial parts of what we at Corrigo call the Intelligence Economy. In the Intelligence Economy, data is collected, crunched, and activated to solve problems and create greater value for customers, partners, and employees. It’s the information, insights, and automations that enhance experiences, predict needs, strengthen connections, and deliver the right info or action at the right time, in the right way. And the Intellig
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Corrigo
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: UL EduNeering     Published Date: Jul 05, 2012
Cost reduction is a key criteria that executives often use when choosing initiatives to focus on. They are the ones that have the greatest potential to impact an organization's bottom line. Across life science organizations, a critical area for cost containment is training management.
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fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11, regulatory compliance, pharmaceuticals, medical device, good manufacturing practices, quality system regulation, online compliance training, part 11 compliance, fda part 11 compliance, iso 13485, quality management system, life science, health care
    
UL EduNeering
Published By: UL EduNeering     Published Date: Jul 05, 2012
This paper summarizes the results of a quantitative benchmarking survey to over 200 Life Science organizations. The study identifies the key compliance and performance improvement training topics they had addressed in 2011 along with key issues for 2012.
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fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11, regulatory compliance, pharmaceuticals, medical device, good manufacturing practices, quality system regulation, online compliance training, part 11 compliance, fda part 11 compliance, iso 13485, quality management system, life science, health care
    
UL EduNeering
Published By: UL EduNeering     Published Date: Jul 05, 2012
SOPs are critical to efficient manufacturing operations, quality control, and regulatory compliance. This paper reviews best practices for the Life Science industry for training on SOPs, and how learning management technology has the potential to improve learner retention through automated assessments.
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fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11, regulatory compliance, pharmaceuticals, medical device, good manufacturing practices, quality system regulation, online compliance training, part 11 compliance, fda part 11 compliance, iso 13485, quality management system, life science, health care
    
UL EduNeering
Published By: UL EduNeering     Published Date: Jul 05, 2012
Third party intermediaries have played starring roles in some of the most highly publicized global corruption trials. By any measure, third party intermediaries routinely rank high on the list of compliance worries for brand companies.
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fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11, regulatory compliance, pharmaceuticals, medical device, good manufacturing practices, quality system regulation, online compliance training, part 11 compliance, fda part 11 compliance, iso 13485, quality management system, life science, health care
    
UL EduNeering
Published By: UL EduNeering     Published Date: Jul 05, 2012
Good Manufacturing Practices (GMP) violations have become the new healthcare fraud as the Department of Justice (DOJ) tests out new legal theories under the False Claims Act (FCA). The Food and Drug Administration (FDA) has dusted off its regulatory authority to prosecute GMP violations.
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fda, gmp, gcp, gxp, cms, osha, qsr, 21 cfr part 11, regulatory compliance, pharmaceuticals, medical device, good manufacturing practices, quality system regulation, online compliance training, part 11 compliance, fda part 11 compliance, iso 13485, quality management system, life science, health care
    
UL EduNeering
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