1. All Articles

    25-48 of 45848 « 1 2 3 4 5 ... 1909 1910 1911 »
    1. How Chatbots Can Transform

      Chatbots are everywhere in 2017. You can find thousands of them in Facebook Messenger and WhatsApp, in Slack and Skype , and embedded as automated conversational experiences within countless other apps and services we use every day. Chatbots are exactly what they sound like: a chat with a bot. It's a form of conversational in which a user interacts with a virtual agent through natural language messaging.

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    2. CRM Might Be More Important to Than Phones

      As a small business, it can be difficult to determine when and where to spend your resources. This is especially true for companies that rely heavily on technology to enable and monitor sales processes. However, it's becoming pretty clear—thanks to several recent enterprise software adoption studies— that, at minimum, your company should invest in customer relationship management (CRM) software.

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    3. Depth Research On Natural language processing (NLP) Global Market Overview, Opportunity & Forecast 2022

      3.10.3 Products, Services and Solutions 3.10.4 Natural language processing (NLP) Revenue (Value) (2012-2017) 3.10.5 Recent Developments 4 Global Natural language processing (NLP) Market Size by Type and Application (2012-2017) 4.1 Global Natural language processing (NLP) Market Size by Type (2012-2017) 4.2 Global Natural language processing (NLP) Market Size by Application (2012-2017) 4.3 Potential Application of Natural language processing (NLP) in Future 4.4 Top Consumer/End Users of Natural language processing (NLP) 5 United States Natural language processing (NLP) Development Status and Outlook 5.1 United States Natural language processing (NLP ...

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      Mentions: Japan India Microsoft
    4. Expedia : eyes innovation to boost revenue for hoteliers

      Aug. 18 --Big data analytics, artificial intelligence and natural language processing technology have been adopted by online hotel booking service Expedia to boost revenue for hoteliers and make it more convenient for users. "The online hotel booking business has been growing rapidly every year because of the use of smartphones and availability of high-speed internet," said Pimpawee Nopakitgumjorn, marketing management director of Expedia Thailand Ltd.

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      Mentions: Expedia EPC
    5. Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.

      Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.

      Surveillance of Peripheral Arterial Disease Cases Using Natural Language Processing of Clinical Notes.

      AMIA Jt Summits Transl Sci Proc. 2017;2017:28-36

      Authors: Afzal N, Sohn S, Scott CG, Liu H, Kullo IJ, Arruda-Olson AM

      Abstract Peripheral arterial disease (PAD) is a chronic disease that affects millions of people worldwide and yet remains underdiagnosed and undertreated. Early detection is important, because PAD is strongly associated with an increased risk of mortality and morbidity.

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      Mentions: NLP PAD Liu H
    6. Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned.

      Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned.

      Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned.

      AMIA Jt Summits Transl Sci Proc. 2017;2017:203-212

      Authors: Liang JJ, Tsou CH, Devarakonda MV

      Abstract Natural language processing (NLP) holds the promise of effectively analyzing patient record data to reduce cognitive load on physicians and clinicians in patient care, clinical research, and hospital operations management.

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      Mentions: NLP EHR
    7. Correlating Lab Test Results in Clinical Notes with Structured Lab Data: A Case Study in HbA1c and Glucose.

      Correlating Lab Test Results in Clinical Notes with Structured Lab Data: A Case Study in HbA1c and Glucose.

      Correlating Lab Test Results in Clinical Notes with Structured Lab Data: A Case Study in HbA1c and Glucose.

      AMIA Jt Summits Transl Sci Proc. 2017;2017:221-228

      Authors: Sijia L, Liwei W, Ihrke D, Chaudhary V, Tao C, Weng C, Liu H

      Abstract It is widely acknowledged that information extraction of unstructured clinical notes using natural language processing (NLP) and text mining is essential for secondary use of clinical data for clinical research and practice.

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      Mentions: Liu
    8. A Clinical Decision Support System for Monitoring Post-Colonoscopy Patient Follow-Up and Scheduling.

      A Clinical Decision Support System for Monitoring Post-Colonoscopy Patient Follow-Up and Scheduling.

      A Clinical Decision Support System for Monitoring Post-Colonoscopy Patient Follow-Up and Scheduling.

      AMIA Jt Summits Transl Sci Proc. 2017;2017:295-301

      Authors: Wadia R, Shifman M, Levin FL, Marenco L, Brandt CA, Cheung KH, Taddei T, Krauthammer M

      Abstract This paper describes a natural language processing (NLP)-based clinical decision support (CDS) system that is geared towards colon cancer care coordinators as the end users.

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      Mentions: NLP
    9. The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

      The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

      The use of natural language processing on pediatric diagnostic radiology reports in the electronic health record to identify deep venous thrombosis in children.

      J Thromb Thrombolysis. 2017 Aug 16;:

      Authors: Gálvez JA, Pappas JM, Ahumada L, Martin JN, Simpao AF, Rehman MA, Witmer C

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      Mentions: San Mateo NLP
    10. Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

      Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

      Prediction of Emergency Department Hospital Admission Based on Natural Language Processing and Neural Networks.

      Methods Inf Med. 2017 Aug 16;56(5):

      Authors: Zhang X, Kim J, Patzer RE, Pitts SR, Patzer A, Schrager JD

      Abstract OBJECTIVE: To describe and compare logistic regression and neural network modeling strategies to predict hospital admission or transfer following initial presentation to Emergency Department (ED) triage with and without the addition of natural language processing elements. METHODS: Using data from the National Hospital Ambulatory Medical Care Survey (NHAMCS), a cross-sectional probability sample of United States EDs from 2012 and 2013 survey years, we developed ...

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    11. Artificial Intelligence Market Analysis By Solution, Technology, End-use & Region, 2014 - 2025 - Research and Markets

      Artificial Intelligence Market Analysis By Solution, Technology, End-use & Region, 2014 - 2025 - Research and Markets

      DUBLIN- The "Artificial Intelligence Market Analysis By Solution (Hardware, Software, Services), By Technology (Deep Learning, Machine Learning, Natural Language Processing, Machine Vision), By End-use, By Region, and Segment Forecasts, 2014 - 2025" report has been added to Research and Markets' offering.

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      Mentions: Dublin
    12. Qualcomm : reiterates its AI focus with Scyfer acquisition

      Qualcomm Technologies has acquired Scyfer, a company affiliated with University of Amsterdam and focused on machine learning techniques.Scyfer has built AI solutions for companies worldwide and in a number of different industries, such as manufacturing, healthcare and finance. The acquisition brings with it a founder and renowned professor at the University of Amsterdam , Dr. Max Welling , who will help to further advance AI research and development at Qualcomm Technologies.

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    13. Phonon.in launches India’s first multi-modal flight bot for aviation sector

      Phonon.in launches India’s first multi-modal flight bot for aviation sector

      Home / Business / Phonon.in launches India’s first multi-modal flight bot for aviation sector Phonon.in launches India’s first multi-modal flight bot for aviation sector August 17, 2017 , 4:51 PM IST Business , News Vadodara: Phonon.in, a Vadodara-based interaction automation company has taken on this challenge and applied this to simple customer centric applications taking the paradigm of providing information at your fingertips to the next level.

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      Mentions: India NLP GCC
    14. Phonon.in Launches India's First Multi-modal Flight Bot for Aviation Sector

      Phonon.in Launches India's First Multi-modal Flight Bot for Aviation Sector

      *Business Wire India*Phonon.in, a Vadodara-based interaction automation company has taken on this challenge and applied this to simple customer centric applications taking the paradigm of providing information at your fingertips to the next level. Phonon is proud to announce the launch of India’s first multi-modal flight bot for the aviation sector.

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      Mentions: India NLP SMS
    15. New article: Lost in Machine Translation, Adieu Culture

      New article: Lost in Machine Translation, Adieu Culture

      Lost in Machine Translation, Adieu Culture by Stephen Seifert Language is in many ways the most profound cultural achievement of humans to date. It is the driving force behind diplomacy, peace and democracy. It is simply one of the most important catalysts for change in a perpetually changing world. Why are we so quick to allow artificially intelligent bots translate what makes the world so culturally rich?

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    16. Global Cognitive Systems Spending Market From 2016 - 2026: Banking Application Segment Expected to Witness Significantly High Market Attractiveness

      Global Cognitive Systems Spending Market From 2016 - 2026: Banking Application Segment Expected to Witness Significantly High Market Attractiveness

      Press release from: Cognitive Systems Spending Market Research Report Researchmoz added Most up-to-date research on "Global Cognitive Systems Spending Market From 2016 - 2026: Banking Application Segment Expected to Witness Significantly High Market Attractiveness" to its huge collection of research reports.Banking segment expected to expand at a higher CAGR over the forecast period In banking, cognitive systems are used for customer service, advisory and decision-making support, investment consulting, and others. The banking sector is the most attractive vertical segment in the global cognitive systems spending market. In terms of value, the banking segment is expected to gain a significant BPS ...

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      Mentions: Albany Tanzania Kenya
    17. How Ray makes continuous learning accessible and easy to scale

      How Ray makes continuous learning accessible and easy to scale

      Data Show Podcast How Ray makes continuous learning accessible and easy to scale The O’Reilly Data Show Podcast: Robert Nishihara and Philipp Moritz on a new framework for reinforcement learning and AI applications. Subscribe to the O'Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher , TuneIn , iTunes , SoundCloud , RSS .

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      Mentions: UC Berkeley MPI
    18. Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks.

      Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks.

      Large-Scale Machine Learning of Media Outlets for Understanding Public Reactions to Nation-Wide Viral Infection Outbreaks.

      Methods. 2017 Aug 13;:

      Authors: Choi S, Lee J, Kang MG, Min H, Chang YS, Yoon S

      Abstract From May to July 2015, there was a nation-wide outbreak of Middle East respiratory syndrome (MERS) in Korea. MERS is caused by MERS-CoV, an enveloped, positive-sense, single stranded RNA virus belonging to the family Coronaviridae.

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      Mentions: Korea
    19. Phonon.in launches India's first multi-modal flight bot for aviation sector @ 8/17/2017 4:32:05 PM

      Phonon.in launches India's first multi-modal flight bot for aviation sector @ 8/17/2017 4:32:05 PM

      --> Thu, 17 Aug 2017-04:32pm , ANI Vadodara (Gujarat) [India], Aug.17 (ANI-Businesswire India): Phonon.in, a Vadodara-based interaction automation company has taken on this challenge and applied this to simple customer centric applications taking the paradigm of providing information at your fingertips to the next level. Phonon is proud to announce the launch of India?s first multi-modal flight bot for the aviation sector.

      Read Full Article
      Mentions: India Gujarat NLP
    25-48 of 45848 « 1 2 3 4 5 ... 1909 1910 1911 »
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