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Published By: IBM Watson Health     Published Date: Nov 30, 2015
Government and commercial payers are transitioning from encounter-based reimbursement to new payment models that reward coordination of care and population health management.
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ibm, watson health, phytel, orlando health, clinical, enterprise applications, data management
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 30, 2015
The transition from fee-for-service to value-based reimbursement has been a challenge for many providers. Financial incentives that favored high service volumes must now be re-focused to accommodate alternative models such as bundled payments and accountable care organizations (ACOs).
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ibm, watson health, phytel, population, health management, accountable care organizations, finances, value-based, data management, finance, information technology
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Oct 27, 2017
With the proliferation of health and fitness data due to personal fitness trackers, medical devices and other sensors that collect real-time information, cognitive computing is becoming more and more important. Cognitive computing systems, with the ability to understand, reason and learn while interacting with human-generated data, enable providers to find meaningful patterns in vast seas of information. IBM Watson Health is leveraging the power of cognitive computing to help providers make data-driven decisions to improve and save lives worldwide, while controlling healthcare costs. Read our whitepaper and learn about the new era of cognitive computing and how it can improve health outcomes, optimize care and engage individuals in making healthy choices.
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cognitive computing, data, insights, health outcomes, healthcare delivery, healthcare costs, care, healthy choices, engagement
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Jul 09, 2018
Gaps in care in health systems cause higher mortality rates and inflate costs. Download this case study for a closer look at how one health system used IBM CareDiscovery data to prove to their board that an outpatient palliative care service line was viable in both cost savings and quality of care improvement.
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mortality rates, quality of care, palliative care, care continuum, clinical performance improvement, ibm, carediscovery, roi, value-based care, episode-of-care, mortality data, process-of-care model, hospital insights, health system insights
    
IBM Watson Health
Published By: IBM APAC     Published Date: Jul 19, 2019
Disruption to data availability has the ability to cripple an organisation, and in the consumer goods market, restricted access to data could cause goods to take longer to get to market. To prepare for data outages, it is imperative that businesses have effective backup and recovery solutions in place to minimise downtime and maintain functionality. This case study examines how PT Wings Surya, a leader in the Indonesian consumer goods market, was able to increase business uptime, cut the time taken to run backup jobs from 8 to just 2 hours, and reduce backup costs by 60%.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
According to IDC, SDS is transforming the IT deployment and consumption of storage resources creating peace of mind. So, deploying SDS is not a matter of “if” but a matter of “when”! SDS survey showed that 75% of enterprises have deployed or are considering to deploy SDS in their environment. This white paper looks at how 61% of enterprises that deployed SDS have realized tangible benefits, such as: • Reduction in CAPEX/OPEX costs • Ease of management • Reduction in provisioning time
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
Today’s IT organisations want simple, flexible storage infrastructures. IBM’s Storwize V5000 family of solutions are a fast, highly flexible, easy-to-use virtualised storage system that helps businesses to meet the challenges of rapid data growth in the context of limited IT budgets. This ESG report looks at the role the IBM Storwize V5000 family can have on addressing the storage needs of companies today.
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IBM APAC
Published By: IBM APAC     Published Date: Jul 19, 2019
It’s important to understand the impact of AI workloads on data management and storage infrastructure. If you’re selecting infrastructure for AI workloads involving ML and deep learning, you must understand the unique requirements of these emerging workloads, especially if you’re looking to use them to accelerate innovation and agility. This Gartner report highlights three main impacts that AI workloads have on data management and storage.
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IBM APAC
Published By: Splunk     Published Date: Sep 10, 2018
collectd is an open source daemon that collects system and application performance metrics. With this data, collectd then has the ability to work alongside other tools to help identify trends, issues and relationships not easily observable. Read this e-book to get a deep dive into what collectd is and how you can begin incorporating it into your organization’s environment.
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it event management, it event management tool, event logs, aiops platform, what is aiops, aiops vendor, market guide for aiops platforms, guide for aiops platforms, monitor end to end, itoa, aiops, predictive analysis, machine learning, event correlation, event management, it operations analytics, it analytics, ibm watson, hp monitoring, hp operations manager
    
Splunk
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Feb 08, 2019
Banking engagement is about to come full circle. Over the past few decades, banks have pushed customers to digital and self-service channels, with significant consequences. As customers take their transactions from the branches to the digital channels, banking has become less and less personal. Conversational Banking allows banks to have the best of both worlds as this always-on, personalized banking will be available at a fraction of the cost of relying on human agents alone. It is both instantaneous and personal. It feels intimate but is cost-effective. Read more to see how banks can start.
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Mar 29, 2019
The vast increase in dark data—all of the unstructured data from the Internet, social media, voice and information from connected devices—is overwhelming many executives and leaving them completely unprepared for the challenges their businesses face.
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Group M_IBM Q2'19
Published By: Group M_IBM Q2'19     Published Date: Mar 29, 2019
Banking engagement is about to come full circle. Over the past few decades, banks have pushed customers to digital and self-service channels, with significant consequences. As customers take their transactions from the branches to the digital channels, banking has become less and less personal. Will this trend continue? To predict the future let’s first review how we got here.
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Group M_IBM Q2'19
Published By: IBM APAC     Published Date: May 14, 2019
IBM PowerAI Enterprise helps to make deep learning easier and faster for organizations by bringing together some of the most popular open source frameworks for deep learning, with development and management tools in a single installable package. Designed to simplify end-toend deep learning, PowerAI Enterprise allows enterprises to spend less time on data preparation, implementation and integration, and more time training neural networks for results. IBM PowerAI Enterprise version 1.1.2 includes the most popular deep learning frameworks in one installation: - BVLC Caffe - IBMCaffe - TensorFlow - PyTorch - Keras (tensorflow-keras)
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
Clients can realize the full potential of artificial intelligence (AI) and analytics with IBM’s deep industry expertise, technology solutions and capabilities and start to infuse intelligence into virtually every business decision and process. IBM’s AI & Analytics Services organization is helping enterprises get their data ready for AI and ultimately achieve stronger data-driven decisions; access deeper insights to provide improved customer care; and develop trust and confidence with AI-powered technologies focused on security, risk and compliance. Artificial intelligence (AI) is moving beyond the hype cycle, as more and more organizations seek to adopt AI-related technologies. These organizations are focusing on prioritizing functional areas and use cases, placing a stronger emphasis on topline growth, taking up a renewed interest in their data infrastructure and articulating greater unease about the skills of their knowledge workers. This report explores how they are approaching str
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
Digital transformation (DX) continues to headline business initiatives as companies look to remain competitive in the rapidly changing IT landscape. Organizations are increasingly investing in and implementing next-generation applications and architectures such as software-defined IT and hybrid IT to drive higher levels of efficiency and agility. These modern technologies and architectures, however, also require organizations to evolve their underlying infrastructure to support new capabilities and demands. Recent strength in the server market, which continues to operate in a marketwide refresh cycle, illustrates the growing demand for new infrastructure. 1Q18 marked the server market's fifth consecutive quarter of both shipment and revenue growth and represented a fourth consecutive quarter of year-on-year ASP growth, as customers continue to replace aging server infrastructure with more powerful and efficient systems that leverage the latest platform developments from processor supp
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
The perceived x86 benefits of lower acquisition cost and standardizing on are often made at the expense of performance, reliability, scalability and manageability. Moreover, many are driven by the impression that x86-based systems will solve all their computing challenges—when often that is not the case. This eBook looks at companies that chose to invest in IBM® Power Systems™ rather than continuing to run on or migrate to x86-based systems — and why.
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
If anything is certain about the future, it’s that there will be more complexity, more data to manage and greater pressure to deliver instantly. The hardware you buy should meet today’s expectations and prepare you for whatever comes next. Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloudready servers help you unleash insight from your data pipeline — from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing. With industry leading reliability and security, our infrastructure is designed to crush the most data-intensive workloads imaginable, while keeping your business protected. - Simplified Multicloud - Built-in end-to-end security - Proven Reliability - Industry-leading value and performance
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IBM APAC
Published By: IBM APAC     Published Date: May 14, 2019
Machine Learning For Dummies, IBM Limited Edition, gives you insights into what machine learning is all about and how it can impact the way you can weaponize data to gain unimaginable insights. Your data is only as good as what you do with it and how you manage it. In this book, you discover types of machine learning techniques, models, and algorithms that can help achieve results for your company. This information helps both business and technical leaders learn how to apply machine learning to anticipate and predict the future. You will find topics like: - What is machine learning? - Explaining the business imperative - The key machine learning algorithms - Skills for your data science team - How businesses are using machine learning - The future of machine learning
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IBM APAC
Published By: Genesys     Published Date: Feb 12, 2019
Wie werden wir in 7 Jahren mit Unternehmen kommunizieren? Gemeinsam mit seinen Partnern Genesys und IBM hat der der 2b AHEAD ThinkTank mit „Kundendialog 2025 – Der Dialog zwischen intelligenten Systemen“ eine wissenschaftliche Studie dazu veröffentlicht. Sie untersucht den Wandel im Kommunkationsverhalten von Kunden und arbeitet Strategien zur Vorbereitung auf gravierende Veränderungen im Bereich des Kundendialogs heraus.
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Genesys
Published By: Sprinklr     Published Date: Jan 05, 2018
Here are five valuable insights into how top organizations like IBM, Microsoft, Nasdaq, and LVMH build marketing strategies of the future.
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marketing strategy, content marketing, marketing performance, digital marketing, customer experience, customer journey
    
Sprinklr
Published By: IBM Marketing Cloud     Published Date: Sep 26, 2016
Download this paper and discover 20 tips you can use to better engage on-the-go customers, improve the mobile experience across the entire customer journey, and ultimately increase holiday conversions.
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marketing, mobile marketing, customer, customer experience, customer relationship, ecommerce
    
IBM Marketing Cloud
Published By: IBM Marketing Cloud     Published Date: Sep 26, 2016
Download this commissioned study by Forrester Consulting on behalf of IBM, and learn how you can understand what your customers want and need, and serve them best in that context.
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customer experience, customer, customer engagement, customer relationship, customer service, crm & customer care
    
IBM Marketing Cloud
Published By: IBM Marketing Cloud     Published Date: Sep 26, 2016
Download this Benchmark Study and discover how you measure up across 25 open, click-through, list churn and mobile metrics.
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marketing metrics, marketing, mobile, mobile marketing, mobile metrics
    
IBM Marketing Cloud
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