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Published By: IBM UK&Ireland     Published Date: Nov 14, 2017
The key to order management success is to recognize that the product alone is no longer what is being sold, but the entire purchase experience from the point of view of the customer. Each retail task is a challenge that brings the customer and their needs to the center of the conversation. With the help of IBM Order Management and Watson Order Optimizer, your company can address the key challenges of optimizing inventory and minimizing cost-to-serve while delivering omni-channel services that satisfy your customers.
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success management, optimization, watson order optimizer, customer success, omni channel, ibm
    
IBM UK&Ireland
Published By: IBM     Published Date: Oct 13, 2017
Blue Hill provides guidance on 1) the Customer Journey leading to a new generation of analytic tools, 2) key value propositions associated with moving to tools such as IBM Cognos Analytics and IBM Watson Analytics, and 3) recommendations for best practices in maximizing the value of insightful and predictive analytics for enterprise data.
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blue hill research, data analytics, ibm cognos, watson analytics, enterprise data
    
IBM
Published By: IBM Watson Health     Published Date: Sep 29, 2017
In the world of value-based healthcare, your data is the key to extracting the most actionable insights that provide real value to your organization. But getting to those insights can prove difficult, especially if you have to connect disparate data sources. You need transparency into key insights that can help your team make more informed decisions for the success of your organization. In this listicle, we explore five ways an analytics solution can help you transform your organization through the power of insight. From risk modeling to predictive analytics, utilizing the right mix of analytics can improve patient outcomes and ultimately move your organization closer to your ideal value-based care model
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value-based care, analytics, insights, data, business intelligence, ehr, fee-for-service, cognitive, predictive, outcomes, infrastructure
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 10, 2017
To address the volume, velocity, and variety of data necessary for population health management, healthcare organizations need a big data solution that can integrate with other technologies to optimize care management, care coordination, risk identification and stratification and patient engagement. Read this whitepaper and discover how to build a data infrastructure using the right combination of data sources, a “data lake” framework with massively parallel computing that expedites the answering of queries and the generation of reports to support care teams, analytic tools that identify care gaps and rising risk, predictive modeling, and effective screening mechanisms that quickly find relevant data. In addition to learning about these crucial tools for making your organization’s data infrastructure robust, scalable, and flexible, get valuable information about big data developments such as natural language processing and geographical information systems. Such tools can provide insig
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population health management, big data, data, data analytics, big data solution, data infrastructure, analytic tools, predictive modeling
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 20, 2017
mation that’s consistent and comes from a single source, and information that’s easy to find and access. Additionally, the tool should provide access from multiple types of devices and the vendor should offer ongoing training and support. The best vendors will provide not only initial
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clinical solutions, clinical decision support solution, clinical decision tool, technical support, optimized care, evidence-based recommendations, clinical solution vendor, drug reference, clinical content
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 20, 2017
Strong patient engagement leads to improved population health, a better experience of care, and lower healthcare costs. Even so, few healthcare organizations have a well-defined patient engagement strategy, according to research by IBM Watson Health. Read this whitepaper and learn why healthcare organizations should create a comprehensive patient engagement strategy, what each component of such a strategy entails and how to take the steps required to build an effective patient engagement program. From patient portals, telemedicine, and mobile health, to data sharing, automation tools and cognitive computing, you’ll gain the ability to leverage valuable tools for increasing patients’ involvement in their own health outcomes.
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patient outreach, patient relationship management, patient experience, population health management, cognitive computing, data, data sharing, healthcare costs, care, patient engagement, patient engagement strategy, patient portals, mobile health, telemedicine, automation tools, health outcomes
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 21, 2017
The shift to value-based care means that healthcare organizations should expand their concept of return on investment (ROI) to include the ability of solutions to increase efficiency and contain healthcare costs. Data analytics and automation capabilities have become important tools for providers aiming to maximize value-based payments. Learn from this whitepaper about the best ways for healthcare organizations to measure health IT ROI in the value-based environment, including specific examples of how certain providers are approaching this challenge.
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value-based care, healthcare costs, health outcomes, health it, health information technology, hospital performance, operational performance, hospital performance improvement, operational performance, operational benchmarks, comparative analysis, post-acute network alignment, provider alignment, hospital spending, hospital financial benchmarks, hospital operational benchmarks
    
IBM Watson Health
Published By: IBM APAC     Published Date: Nov 22, 2017
A user initiates the call and selects the source language, such as Spanish. (In this example, assume that the target language is set to English.) As the user is talking to the support representative, the audio is converted to text using the Speech to Text service. Then using Language Translator, the text is translated to English. English language text is then sent to the Text to Speech service as input. The output audio message is what the support representative hears. All of this happens in near real time. The text from Speech to Text and the Language Translator service also can be stored in a database for analytics. The same process is repeated in reverse for the audio message sent by support personnel.
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source, language, english, spanish, speech to text, database, analytics, audio message, support
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Using IBM Watson’s cognitive capabilities, companies can quickly differentiate their customer service quality by being more pro active and responsive to customer needs. Simply put, chatbots and virtual agents are the future of customer interactions. Building apps from scratch that incorporate natural language processing, speech to text recognition, visual recognition, analytics, and artificial intelligence requires broad expertise in these disciplines, large staffs, and a huge financial commitment. Making use of IBM Watson cognitive services brings these capabilities in-house quickly and without the capital investment that would be needed to develop the technologies within an organization.
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decision making, deeper data, insights, cognitive, analytics, ibm, watson, virtual agents
    
IBM APAC
Published By: IBM APAC     Published Date: Nov 22, 2017
Glossary:Terms You Should Know Take your data analysis and deep learning expertise to the next level with these industry terms.
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api, application, programming, interface, artificial intelligence, base, encoding, chrome, code page
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 22, 2017
While working to maintain tactical control of the mobile environment, IT managers often find themselves drowning in minutiae. Overwhelmed by the number of moving parts, they’re unable to stay abreast of the latest threats, let alone extract meaning from or make decisions based on the mountains of data now being collected. With limited IT resources dedicated to mobile technology tools that facilitate reactive rather than proactive management—and limited visibility into mobile intelligence across the organization—many managers have had to choose between security and productivity as the focus of their efforts.
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security risks, it operations, workforce, advisor, mobile security, mobile metrics, cloud based, benchmarking data, ibm
    
IBM APAC
Published By: IBM APAC     Published Date: Aug 22, 2017
While it might be desirable to standardize end users on one or two types of devices that all run the same operating system, most organizations don’t have that luxury. Today’s users demand an extraordinary level of flexibility and convenience—which means most organizations support a vast assortment of endpoints, including laptops and desktops (both PCs and Macs), tablets and hybrid devices, smartphones, and even wearables and IoT devices.
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actionable insights, contextual analytics, applications, content, data, identity, threats, connectivity, smartphones, tablets
    
IBM APAC
Published By: IBM Watson Health     Published Date: Nov 30, 2015
Learn more in this new IBM® Redpaper™ publication, A Guide to Lean Healthcare Workflows, by Jerry Green, PhD, and Amy Valentini of Phytel, An IBM Company.
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ibm, watson health, phytel, healthcare, workflow, optimize, knowledge management, business technology
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 30, 2015
This case study examines in more detail BSVMG’s approach to transitioning to value-based care—and outlines Phytel’s recommended roadmap to successful population health management.
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ibm, watson health, phytel, bon secours, value-based care, healthcare, software development, it management
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 30, 2015
This whitepaper features a discussion of how leading healthcare organizations are developing a strategy for risk contracting and population health management.
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ibm, watson health, phytel, infrastructure, finances, healthcare, software development, data management
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Nov 30, 2015
Download the whitepaper to learn more, including estimates of how much organizations can earn or save by creating an IT infrastructure for population health management.
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ibm, watson health, phytel, finance, healthcare, value-based, health management, software development
    
IBM Watson Health
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
    
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     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: May 03, 2016
Learn: - What continuous engineering is - How to continuously improve complex product designs - How to anticipate and respond to markets and clients - How to get the most out of your engineering resources
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ibm, watson, continuous engineering, product deisgn, engineering resources, continuous improvements, software development, business technology
    
IBM
Published By: IBM     Published Date: May 03, 2016
Learn: - What systems engineering is - How systems engineering can help you develop smart, connected products - How to expedite time-to-market, ensure business agility, and deliver high-quality smart products
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ibm, watson, systems engineering, smart products, business agility, software development, business technology
    
IBM
Published By: IBM     Published Date: May 03, 2016
The impact of the Internet of Things on product development: Discover how to transform your engineering processes and tools to gain a competitive advantage from the Internet of Things
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ibm, watson, internet of things, iot, product development, continuous engineering, software development, business technology
    
IBM
Published By: IBM Watson Health     Published Date: Mar 03, 2017
In this on-demand webinar Jacqueline Matthews will share her insight with attendees on: - The current healthcare climate in moving from volume to value - The key components of clinical integration - The important role Information Technology plays in Clinically Integrated Networks
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ibm, watson, watson health, accountable care, clinical integration
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Learn how IBM Watson Health clinical application advisors helped Floyd Health Care System take full advantage of the platform’s many benefits. Business Challenge As part of its journey toward population health management, Floyd wanted to optimize the way it used the IBM® Phytel® solution from IBM Watson Health™ and take advantage of its analytical tools. Transformation With help from an IBM Watson Health clinical application advisor, Floyd expanded its IBM solutions and used their unique capabilities to progress toward a more robust population healthcare model by adding care coordination activities and improving key process measures.
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floyd health care system, ibm, ibm watson health, analytics, healthcare
    
IBM Watson Health
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