ibm watson

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Published By: IBM     Published Date: Jan 21, 2016
Watson Analytics puts predictive business analytics in the palm of your hand with a natural language-based freemium cloud service.
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ibm, analytics, workforce
    
IBM
Published By: IBM     Published Date: Nov 03, 2015
In order to meet the changing demands of their customers, organizations need the right solution that can help them harness the vast amounts of customer data in ways that yield personalized, seamless customer experiences. That solution is IBM Watson Engagement Advisor.
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ibm, watson, application, powerful information, networking, software development, it management, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
Begin your journey toward becoming a cognitive enterprise and start gaining unprecedented value from your own data. Watson Explorer reduces unnecessary research time and allows enterprises to work smarter and faster. Read this brochure to learn how Watson Explorer combines content and data with cognitive computing capabilities to help your organization work more efficiently and make better decisions.
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ibm, watson, software, explorer, applications, developer, cloud
    
IBM
Published By: IBM APAC     Published Date: Mar 06, 2019
A single environment to build, train, and deploy machine-learning and deep learning models. Take advantage of machine learning and AI to analyze your data. Catalog your data to make it easy to find. All applications are free and without time limit!
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IBM APAC
Published By: IBM Watson Health     Published Date: Dec 12, 2018
Data analytic solutions help improve the value of health and human services, drive better decision-making and lower costs. See how the right solutions can contribute to millions of dollars saved through fraudulent claims detection, offer insights into the social determinants of health and benefit social programs.
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government, health and human services, artificial intelligence, data, cognitive insights, medicaid, fraud reduction, social program management
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Mar 30, 2018
Chilmark Research, a global research and advisory firm, recently released a report rating vendors and solutions in the healthcare analytics industry. IBM Watson Health, a leader in healthcare analytics, has put together this infographic comparing how its solutions stack up against some of the closest competitors in the industry in areas such as population discovery and definition, predictive analytics, cost and utilization, and claims data contribution.
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analytics, infographic, predictive analytics, cost utilization, population discovery, claims data, healthcare, chilmark
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Dec 11, 2018
This one-page interview describes the importance of providing clinicians with access to evidence-based information and discusses how artificial intelligence can help deliver that information quickly at the point-of-care.
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hospitals, health systems, artificial intelligence, data, cognitive insights, value-based care, evidence-based, healthcare technology
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Jul 25, 2018
Most population health management strategies include initiatives to improve clinical outcomes and decrease the cost of care. Read this one-page interview with Dr. Tina Moen, Deputy Chief Health Officer at IBM Watson Health, as she shares the benefits and insights of collaborative medication management, including incorporating pharmacists in population health strategies.
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operational costs, medication management, population health, strategies, pharmacy, pharmaceuticals, hospitals, health systems
    
IBM Watson Health
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Jan 08, 2018
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Dec 05, 2016
IBM Watson enables a global Aerospace and Defense company to use cognitive technologies to assess its portfolio enhancements, assess its offering competitiveness, and evaluate its supply and sales opportunities. Democratizing knowledge is key for success. Especially in an environment of constant change within corporate transformations, employees lose access to key information in order to support the company's operational stability during these changes. Watson takes over the role of a human expert to support a fast and fact-based steering of the company.
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ibm, watson, leadership, knowledge management, aerospace, defense
    
IBM
Published By: IBM     Published Date: Dec 05, 2016
Learn directly from KONE's expert about their recent IoT experience in implementing predictive maintenance (PMQ) and IoT. The session will cover: 1) KONE's business area that the PMQ and IoT solution is supporting, and the metrics used to measure success; 2) KONE's Predictive Maintenance and IoT Platform use case, key personas, savings and benefits realized; and 3) Observations from implementation, including: a) The analytics journey at KONE; b) Organizational change (culture, processes, etc.); c) Measurable maintenance benefits; d) Implementation considerations, learnings, going forward; and e) Future projects and capabilities.
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ibm, leadership, watson, watson iot, predictive maintenance
    
IBM
Published By: IBM     Published Date: Jan 17, 2017
Forrester Research discusses shifts in creating customer-centric, content-rich digital experiences. IBM introduces the Watson Content Hub.
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ibm, commerce, digital experience, customer experience, forrester, customer-centric content
    
IBM
Published By: IBM     Published Date: Jan 09, 2014
Watson’s success in the Jeopardy! challenge was inspiring, but the business impact of optimized systems design is just beginning. With smarter analytics solutions optimized on IBM Power Systems, you can put Watson's technology to work and ensure that you
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power 7, big data, watson, decision making, power systems, virtualization, spss collaboration, ibm
    
IBM
Published By: Splunk     Published Date: Aug 22, 2018
The world of artificial intelligence (AI) has finally arrived at the doorstep of IT operations. As organizations move toward using both big data and machine learning functionality to support a variety of IT operations, processes and tasks, artificial intelligence for IT operations (AIOps) platforms have emerged as a one-stop solution. Gartner has released a “Market Guide for AIOps Platforms” that provides findings about the AIOps industry and its latest developments. Download your complimentary copy to: *Gain insight into the developing industry of AIOps and its future *Learn how to optimize IT operations powered by machine learning to drive business value *Compare different AIOps platform vendors and their range of capabilities
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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
    
Splunk
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 APAC
Published By: IBM     Published Date: Feb 26, 2016
With Watson Explorer, you can keep enterprise search as the foundation and transform search into Cognitive Exploration. Leveraging technological advances such as deep search and exploration, advanced content analytics, and cognitive capabilities, IBM Watson Explorer provides a unified view of the information you need, combining data from multiple internal silos and a variety of outside datasets including social media. Stop limiting your search to traditional data sources in the new, non-traditional data world.
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watson explorer, ibm, deep search, content analytics, enterprise software
    
IBM
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
    
IBM Watson Health
Published By: IBM     Published Date: May 09, 2016
In 3-5 minutes, get a good view of what integrated asset management means for the industry and what value it brings to manage infrastructure assets in a smarter way.
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ibm, watson, internet of things, iot, asset management, integrated asset management, infrastructure assets
    
IBM
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
    
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
    
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
    
IBM Watson Health
Published By: IBM Watson Health     Published Date: Jun 14, 2017
Electronic health records (EHRs) are necessary, but were not designed to anchor population health management (PHM). This is partly because they lack semantic interoperability, which is the ability of disparate information systems to share data and enable communications among users in a meaningful way. This paper explains how an approach that includes a care collaboration platform can manage population health by aggregating and normalizing the necessary data.
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ehr, ibm, health management, population health management, data aggregation, information systems
    
IBM Watson Health
Published By: IBM     Published Date: Jun 25, 2018
As Singapore’s largest insurance force, Prudential Singapore needed a scalable and cost-effective solution to help financial consultants respond quicker to in-depth product and policy questions. Partnering with IBM, they developed askPRU, an industry-first chatbot with IBM Cloud and Watson capabilities. Handling over 1,000 commonly asked questions in real-time, askPRU reduced call volume by 32% within six months and enhanced the responsiveness of over 4,600 consultants. Enabling consultants to focus on more complex queries, askPRU also provides accurate expertise to help deliver consistently exceptional service. Learn how Watson technology became central to the Prudential Singapore business and enhanced their customer experience. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: IBM Watson Health     Published Date: Dec 20, 2018
In this webinar, experts discuss how data and analytics can be applied to improve health program outcomes and how social determinants of health affect risk. It includes a case study on how the application of advanced analytic methods helped to decipher the impact of high-priced specialty drugs on the overall population. The experts also address how artificial intelligence can drive better decision-making, improve population health and cut costs.
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government, health and human services, artificial intelligence, data, cognitive insights, long-term care, case study, analytics
    
IBM Watson Health
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