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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, strategy, healthcare analytics
    
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 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: Splunk     Published Date: Aug 17, 2018
Imagine a world where incident alerts arrive 30 minutes before problems even begin — you’d actually have the power to prevent outages and deliver a truly seamless experience to your customers. Sound impossible? Think again — the right AIOps (Artificial Intelligence for IT Operations) solution can help you maintain uptime, reduce manual incident-management tasks and increase productivity.
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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: Splunk     Published Date: Aug 17, 2018
IT organizations are now responsible for delivering seamless customer experiences while preventing outages and managing an increasing number of systems. With growing responsibility placed on IT, there is an opportunity to drive strategy for company-wide business processes and operations. Companies using machine data powered platforms like Splunk collect disparate data types to quickly troubleshoot and monitor systems. By adding predictive capabilities, IT can glean critical insights for the business and develop strategic initiatives on issues that matter. Download the white paper “Embracing the Strategic Opportunity of IT” to learn how to: Enable a business aware IT organization Unlock operational efficiencies Solve problems with predictive analytics
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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: 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, 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: 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, practice management
    
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, information technology
    
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, information technology
    
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, information technology
    
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, 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: 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: 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
    
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
    
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
    
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
    
IBM
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: 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, information technology
    
IBM Watson Health
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