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Yindalon Aphinyanaphongs
Physician Scientist at NYU Langone Medical Center
adverse event, ai, ai in healthcare, ai world, analytics, artificial intelligence, artificial intelligence in healthcare, biostatistics, causality, clinical trial, cohort study, communication channel, correlation and dependence, courant institute of mathematical sciences, decision-making, demography, electronic health record, expert system, furosemide, health care, health care quality, heart failure, hospital, hospital readmission, intelligence quotient, leadership, logistic regression, machine learning, medication, occam's razor, optum, organization, overfitting, patient, point of care, prediction, predictive analytics, randomized controlled trial, regression analysis, research, risk, startup company, time, understanding
Brittany Casey
Pediatric Hospital Medicine Fellow at Johns Hopkins All Children’s Hospital
attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth
Paola Dees
Physician at Johns Hopkins All Children's Hospital
attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth
John Morrison
Assistant Professor of Pediatrics at The Johns Hopkins University School of Medicine
attention, breathing, communication, deep learning, electronic health record, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical record, neural network, patient, pediatrics, point of care, positive and negative predictive values, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, truth
Mohamed Rehman
Eric Kobren Professor of Applied Health Informatics at The Johns Hopkins University School of Medicine
analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics
Luis Ahumada
ДолжностьDirector Center for Pediatric Data Science and Analytic Methodology at Johns Hopkins All Children's Hospital
analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics
Ali Jalali
Senior Data Scientist at Biofourmis
analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics
Hannah Lonsdale
Clinical Research Associate at The Johns Hopkins University
analytics, anesthesia, attention, bayesian inference, breathing, census, child, communication, decision tree, deep learning, demography, disability, electronic health record, health care, hospital, hospital medicine, hospital readmission, information, intuition, johns hopkins all children's hospital, learning, machine learning, medical history, medical record, music, neural network, neurology, patient, pediatrics, perioperative, point of care, positive and negative predictive values, prediction, predictive modelling, risk, risk assessment, sample size determination, sensitivity and specificity, surgery, truth, visual analytics
David Karger
Advisory Board Member at Instabase
acronym, algorithm, autocomplete, blood sugar level, car, clinical decision support system, concept, data model, electronic health record, health, hypertension, information, intelligence, jargon, language, language model, medical history, medication, occupational burnout, patient, physician, point of care, prediction, signs and symptoms, stress (biology)
Steven Horng
Associate Director, Multi-disciplinary Fellowship in Clinical Informatics at Beth Israel Deaconess Medical Center
acronym, algorithm, autocomplete, blood sugar level, car, clinical decision support system, concept, data model, electronic health record, health, hypertension, information, intelligence, jargon, language, language model, medical history, medication, occupational burnout, patient, physician, point of care, prediction, signs and symptoms, stress (biology)
Luke Murray
Research Intern at Microsoft
acronym, algorithm, autocomplete, blood sugar level, car, clinical decision support system, concept, data model, electronic health record, health, hypertension, information, intelligence, jargon, language, language model, medical history, medication, occupational burnout, patient, physician, point of care, prediction, signs and symptoms, stress (biology)
Monica Agrawal
Software Engineering Intern at Flatiron Health
acronym, algorithm, annotation, autocomplete, blood sugar level, car, clinical decision support system, concept, data, data model, data set, electronic health record, evaluation, health, hypertension, information, intelligence, jargon, language, language model, learning, map, medical history, medication, occupational burnout, patient, physician, point of care, prediction, reliability (statistics), santa clara, california, schema (psychology), signs and symptoms, stress (biology), uintah county, utah, vocabulary
Divya Gopinath
Research Engineer at TruEra
acronym, algorithm, autocomplete, blood sugar level, car, clinical decision support system, concept, data model, electronic health record, health, hypertension, information, intelligence, jargon, language, language model, medical history, medication, occupational burnout, patient, physician, point of care, prediction, signs and symptoms, stress (biology)
Yorke Rhodes
Director Digital Transformation, Blockchain, Cloud Supply Chain at Microsoft
anonymity, apple inc., application software, attention, audit, authentication, backup, bank, bing (search engine), bitcoin, blockchain, bond (finance), brand, business, carbon credit, cash, central bank, charging station, citizenship, citizenship of the united states, cloudflare, communication protocol, compiler, computer programming, consensys, consent, conversation, covid-19 pandemic, credential, credit, credit card, crime, criminal record, cryptocurrency, database, decentralization, definition, demand, developers, digital identity, digital ownership, digital transformation, digital twin, employment, enterprise, ethereum, fiat money, financial transaction, general data protection regulation, health informatics, homelessness, inductive charging, inflation, innovation, intellectual property, internet, internet of things, internet privacy, interoperability, inventory, kilowatt-hour, magento, market (economics), mass market, medicine, microsoft, microsoft visual studio, mind, mobile app, near-field communication, net neutrality, news, nfts, open-source software, organization, p2p, password, pegasys, personal data, plug-in hybrid, point of care, pretty good privacy, privacy, privacy and blockchain, property, psychology, public key certificate, public key infrastructure, public-key cryptography, reality, reason, regulatory compliance, reputation, risk, sales, science, self-driving car, siri, skype, startup company, supply chain, surveillance, sustainability, sustainable energy, tax, tech, technology, tim berners-lee, transparency (behavior), transport layer security, trust (social science), understanding, value proposition, venture capital, venture capital financing, watson (computer), web 2.0, web browser, web of trust, web3, webassembly, wi-fi, world wide web, x.509, xbox one
Jonathan T Levi
Founder at HACERA
alternative investment, analytics, anonymity, api, application programming interface, automated teller machine, bank, bitcoin, blockchain, bloomberg l.p., browser game, cake, capital market, cash, citigroup, cloud computing, comma-separated values, computer, consent, conversation, credit, crowdfunding, cryptocarrency , cryptocurrency, cryptography , debit card, decentralization, digital identity, distributed computing, equation, ethereum, federal deposit insurance corporation, fee, financial transaction, general data protection regulation, health informatics, ibm cloud computing, input/output, integer, internet, internet of things, internet privacy, interoperability, inventory, investment banking, json, laptop, lexical analysis, line of credit, lobbying, market (economics), medicine, microsoft, mind, mortgage loan, oracle corporation, parameter, pdf, personal data, point of care, prediction, pretty good privacy, privacy, programmer, programming language, project jupyter, prototype, public key certificate, public key infrastructure, public-key cryptography, reality, regression analysis, research, right to be forgotten, risk, risk management, simulation, software , splunk, startup company, stock, surveillance, system, template (c++), thought, transparency (behavior), transport layer security, truth, united kingdom, watson (computer), web of trust, x.509, xml
Jonathan Holt
Chief Medical Informatics Officer (CMIO) & Identity Leader at ConsenSys Health
anonymity, blockchain, collective intelligence, computer security, consent, credential, cryptocurrency, digital identity, electronic health record, experiment, game theory, general data protection regulation, hackathon, health informatics, hypothesis, immunity passport, internet of things, internet privacy, interoperability, inventory, medical license, medicine, mentorship, mind, open source, open-source software, open-source-software movement, personal data, physician burnout, point of care, pretty good privacy, privacy, public key certificate, public key infrastructure, public-key cryptography, reality, shame, simulation, surveillance, transparency (behavior), transport layer security, watson (computer), web of trust, x.509
Gari Singh
CTO - Blockchain at IBM
aerospace, amazon (company), anonymity, arm architecture, authentication, blockchain, browser extension, business model, cache (computing), central processing unit, climate change mitigation, cloud computing, command-line interface, computer, computer network, computing, consensus (computer science), consent, counterfeit, cryptocurrency, database, devops, digital identity, digital signature, eddie vedder, encryption, ethereum, firefox, general data protection regulation, github, greenhouse gas, hardware security module, health informatics, honeywell, hyperledger, ibm, ibm cloud computing, ibm pc compatible, intel, interest, internet of things, internet privacy, interoperability, inventory, javascript, kubernetes , language, laptop, lenovo, linux distribution, matter, medicine, metadata, microsoft excel, mind, motorola, online and offline, open-source software, openshift, pearl jam, personal data, point of care, pretty good privacy, privacy, public key certificate, public key infrastructure, public-key cryptography, reality, red hat, reliability engineering, software , storytelling, surveillance, tablet computer, ticketmaster, time, transparency (behavior), transport layer security, value proposition, visual studio code, watson (computer), web of trust, world wide web, x.509
Bhanu Solleti
omain Architect- Integration & API Management at Lowe's Companies, Inc.
.net, adherence (medicine), analytics, apache kafka, api, application software, applications, apps, batch processing, cloud computing, commit, communication protocol, computer hardware, confluent, coronavirus disease 2019, data, database, developers, distributed, email, enterprise integration, fast healthcare interoperability resources, fault-tolerant, free, hadoop, health, health care, health care in the united states, health policy, health system, inflation, interoperability, java, kaiser permanente, kubernetes , latency (engineering), leadership, linux distribution, logs, medical record, messaging queue, microservices, mobile app, monitoring, multi-datacenter, open source, operations, ops, pay for performance (healthcare), pharmacy, pipelines, platform, point of care, processing, proprietary software, publish, real-time, real-time computing, remote backup service, replication (computing), retail, scalability, self-service, sms, snapchat, stream processing, streaming, streaming media, streams, subscribe, workforce management
Levi Bailey
Associate Vice President, Cloud Architecture at Humana
.net, adherence (medicine), analytics, apache kafka, api, applications, apps, cloud computing, commit, communication protocol, confluent, data, database, developers, distributed, ecosystem, evaluation, fast healthcare interoperability resources, fault-tolerant, free, hadoop, health, health care, health care in the united states, health policy, health system, interactive voice response, interoperability, java, kaiser permanente, kubernetes , leadership, linux distribution, logs, market (economics), medical record, medicare (united states), messaging queue, microservices, monitoring, multi-datacenter, onboarding, open source, operations, ops, pay for performance (healthcare), pharmacy, pipelines, platform, point of care, problem solving, processing, publish, real-time, reality, remote backup service, retail, software framework, stream processing, streaming, streams, subscribe, technology
Jun Rao
Confluent at Confluent
.net, aashiqui, adherence (medicine), amazon (company), analytics, apache kafka, api, application software, applications, apps, architecture, asia, automated teller machine, bank, batch processing, bracket, brand, bus, business, business model, car, cash, central processing unit, cloud computing, cloud-native managed services, coffee, commit, communication protocol, community, complaint, computer, computer data storage, computer hardware, computing, concept, confluent, consensus (computer science), contract, conversation, coronavirus disease 2019, costco, countertop, credit, credit score, crossword, culture, customer, customer experience, customer service, cybercrime, data, data center, data in motion, database, derivative (finance), developers, digital transformation, distributed, distributed computing, downtime, dublin, economy, economy of indonesia, email, emotion, engine, engineering, enterprise integration, experiment, fast healthcare interoperability resources, fault-tolerant, food, frame of reference, fraud, free, future, gig worker, google, grab (company), hadoop, hashtag, health, health care, health care in the united states, health policy, health system, hotels.com, hour, indonesia, inflation, infrastructure, internet, interoperability, inventory, ireland, iron, iron ore, java, java (programming language), kaiser permanente, knowledge, kubernetes , language, latency (engineering), leadership, leverage (finance), linux distribution, loan, logs, malaysia, medical record, messaging queue, metadata, microservices, microsoft, mind, mining, mobile app, money, monitoring, multi-datacenter, national australia bank, negotiation, news, object storage, open outcry, open source, open-source software, operating system, operations, ops, organization, pain, patent, pay for performance (healthcare), pharmacy, physics, pipelines, platform, platform economy, point of care, processing, productivity, proprietary software, publish, real-time, real-time computing, reality, reason, remote backup service, replication (computing), research, retail, revenue management, risk, road traffic safety, scalability, search engine, self-service, selfie, simulation, single source of truth, sms, snapchat, software , software as a service, sound film, southeast asia, space, spoofing attack, stock, stock trader, stream processing, streaming, streaming media, streams, subscribe, switzerland, system, taxicab, technology, the substation, theory, tool, toy, transport, troy, twitter, underwriting, use case, user (computing), von neumann architecture, warehouse, wealth, webcam, workforce management
Alejandro Lopez Osornio
Scientist at Argentine Ministry of Health
alejandro lopez osornio, argentina, argentine ministry of health, automation, bachelor's degree, buenos aires, business, computer network, continuous integration, database, dave vellante, devops, distributed computing, end user, governance, health, health care, health informatics, health system, hospital, john furrier, medical record, microservices, ministry of health (argentina), ministry of health (saudi arabia), patient, point of care, privacy, red hat, red hat summit, red hat summit 2020, rhsummit, siliconangle, siliconangle inc, siliconangle media inc, social distancing, stu miniman, thecube, wikibon
Stuart Miniman
Director of Market Insights, Cloud Platforms at Red Hat
#thecube, 5g, @thecube, adoption, ai-infused network , alejandro lopez osornio, amazing stories, amazon (company), amazon elastic compute cloud, amazon web services, analogy, analytics, anand babu periasamy, antenna (radio), apartment, api, apple inc., application software, architect, architecture, argentina, argentine ministry of health, arm architecture, arvind krishna, ashesh badani, assistive technology, automation, bachelor's degree, backup, bank, behavior, bell, big data, bit, booting, boston, brand, buenos aires, bus, business, business model, business-to-business, california, cambrian explosion, car, carbon black (company), cartesian coordinate system, central processing unit, chat room, chief executive officer, chief information officer, child care, choice hotels international, chris wright, cisco systems, citrix systems, clayton coleman, cloud, cloud computing, cloud management, cloud storage, cloudera, communication, community, complexity, computer, computer appliance, computer data storage, computer hardware, computer network, computing, continuous integration, conversation, coronavirus disease 2019, cube conversation, customer, customer experience, data, data center, database, dave vellante, decision-making, delisa alexander, dell, dell emc, desktop virtualization, devil, devops, digital transformation, distributed computing, dividend, ecological resilience, economics, ecosystem, edenor, electricity, empathy, empowerment, end user, energy, engine, engineering, enterprise software, executable, experience, eye, feedback, fibre channel, file hosting service, firmware, flash memory, fleet management, free and open-source software, free software, geography, github, glass, goal, google, governance, greenlake, grocery store, hat, health, health care, health informatics, health system, hewlett packard enterprise, hewlett-packard, homeschooling, hospital, hour, hp cloud, hpe, human, hybrid (biology), hypervisor, ibm, ibm cloud computing, ibm think, ibm think 2020, ibm websphere, industrial internet of things, information privacy, information system, information technology, infrastructure, innovation, insight, intel, intel xeon, intensive care unit, interest, internet, internet of things, investment, it infrastructure, java (programming language), java virtual machine, joe fernandes, joe fitzgerald, john furrier, kernel-based virtual machine, keynote, keynote analysis, kinect, knowledge, kubernetes , laboratory, lag, language, laptop, last mile, latency (engineering), law, leadership, learning, life-cycle assessment, lightweight directory access protocol, linux, linux distribution, linux foundation, lisa spelman, lol, louis v. gerstner jr., love, lucian, machine learning, mainframe computer, mana, manufacturing, maria alejandra trozzi, market (economics), mass media, mathematical optimization, matt hicks, medical record, megan byrd-sanicki, memory, mental disorder, mental health, metadata, metal, microphone, microservices, microsoft, microsoft azure, middleware, mind, minio, ministry of health (argentina), ministry of health (saudi arabia), mobile app, mobile phone, money, monopoly, natural disaster, nature, netflix, netha hussain, network function virtualization, news, nick barcet, nigger, nike, inc., node (networking), nosql, nothing, number, nursing, nvidia, nvm express, object storage, office 365, online community, open innovation, open source, open-source software, open-source-software movement, openjdk, openshift, openstack, operating system, optum, oracle corporation, orbit, organization, overdrive (mechanics), packaging and labeling, palo alto, california, patch (computing), patient, paul cormier, percentage, persistence (computer science), pinterest, platform as a service, point of care, poland, price, privacy, procurement, product lifecycle, property, proprietary software, pure storage, quality of service, quarkus, question, reality, reason, red hat, red hat summit, red hat summit 2020, regulatory compliance, research, rhsummit, rich sharples, robot, robyn bergeron, runtime system, satya nadella, security, security-enhanced linux, self-driving car, sensor, server (computing), serverless computing, share repurchase, ship, siliconangle, siliconangle inc, siliconangle media inc, snowflake, social distancing, software , software bug, software development, software framework, software-defined networking, space, species, specification (technical standard), startup company, stefanie chiras, stereoscopy, stock, stu miniman, studio, subscription business model, tax, technology, technology roadmap, telecommunication, telecommuting, tesla, inc., thecube, think2020, throughput, tim cramer, trademark, truth, twitter, understanding, united states, university of gothenberg, use case, value proposition, vaughn stewart, verizon communications, video on demand, videotelephony, virtual machine, virtual private network, virtualization, vmware, vmworld, vmworld 2020, vmworld 2020 analysis two, vmworld 2020 keynote analysis, vulnerability (computing), watson (computer), wi-fi, wikibon, wikipedia, wisdom, word, world wide web, xbox one, youtube, zoom (software)
Matt Wood
Machine Learning at Amazon Web Services
5g, accompaniment, advanced micro devices, ai, algorithm, algorithmic bias, amazon alexa, amazon echo, amazon elastic compute cloud, amazon fargate, amazon healthlake, amazon redshift, amazon sagemaker studio, amazon web services, andy jassy ketnote, aws, aws 2019 event, aws cloud, aws keynote, aws launch, big data, blood glucose monitoring, blood sugar level, brent shafer, caregiver, central processing unit, cerner, chronic condition, cloud, cloud computing, computer, computer data storage, computer network, computer programming, computer vision, concept, conducting, coronavirus disease 2019, creativity, ct scan, data model, david solomon, deep learning, deepcomposer, depository trust & clearing corporation, derivative (finance), diabetes, disease, dose (biochemistry), dr matt wood, dr matt woods, electronic health record, emerging technologies, epic games, events, expert, expert system, file format, financial crisis of 2007–08, financial market, financial technology, fortnite, glucose meter, goldman sachs, graph database, graphics processing unit, guitar, hans vestberg, hardware acceleration, health, health ai, health care, health data, health informatics, health system, healthlake, healthlake demo, hospital, hospital readmission, human, hyperglycemia, hypervisor, integrated development environment, intel, intelligence, internet of things, interoperability, jazz, joco, jonathan coulton, learning, live demo, machine learning, mastercard, matt wood, medication, mobile app development, music, nasa, neural network, orchestra, patient, pay for performance (healthcare), pharmaceutical industry, point of care, predictive maintenance, prescription drug, presto (sql query engine), product lifecycle, public company, public health, quality of life, real-time computing, recommender system, reinvent 2019, self-driving car, semantic integration, serverless computing, simulation, software , software as a service, solid-state drive, space exploration, speech recognition, speech synthesis, stock, technology, tensorflow, time, training, validation, and test sets, unstructured data, virtualization
Elad Benjamin
General Manager Radiology and AI Informatics at Philips
algorithmic bias, amazon web services, analytics, aws, aws cloud, big data, chronic condition, cloud, cloud computing, computer vision, data science, decision-making, deep learning, electronic health record, emerging technologies, goal, graph database, health, health care, health data, hyperglycemia, internet of things, machine learning, medical record, medicine, monitoring (medicine), pay for performance (healthcare), point of care, predictive maintenance, product lifecycle, radiology, real-time computing, recommender system, remote patient monitoring, respiratory therapist, science, self-driving car, simulation, speech recognition, tensorflow, training, validation, and test sets, wearable technology
Nashlie Sephus
Applied Science Manager, AWS AI at Amazon Web Services (AWS)
alc '19, algorithmic bias, amazon web services, aws, aws cloud, big data, booker t. washington, chevrolet, chevrolet bolt, chronic condition, cloud, cloud computing, computer security, congressional black caucus foundation, corporate venture capital, critical thinking, deep learning, doctor of philosophy, doctorate, electronic health record, emerging technologies, employee retention, entrepreneurship, female education, general motors, graph database, health care, health data, historically black colleges and universities, hyperglycemia, ibm, innovation, internet of things, leadership, machine learning, master's degree, mentorship, pay for performance (healthcare), pharmacy school, point of care, predictive maintenance, problem solving, product lifecycle, real-time computing, recommender system, science, technology, engineering, and mathematics, self-driving car, simulation, speech recognition, tensorflow, thomas watson jr., training, validation, and test sets, twitter, venture capital
Jennifer Langton
Senior Vice President at National Football League (NFL)
adoption, algorithmic bias, amazon (company), amazon web services, aws, aws cloud, big data, chronic condition, cloud, cloud computing, computer, computer vision, computing, concussion, crowdsourcing, deep learning, electronic health record, emerging technologies, force, future, graph database, health, health care, health data, hyperglycemia, innovation, internet of things, laboratory, learning, machine learning, occupational safety and health, pay for performance (healthcare), personal protective equipment, physical therapy, point of care, predictive maintenance, product lifecycle, real-time computing, recommender system, self-driving car, simulation, speech recognition, sport, system, technology, tensorflow, training, training, validation, and test sets
Swami Sivasubramanian
VP at Amazon AI
accuracy and precision, active learning, ai, algorithm, algorithmic bias, amazon, amazon (company), amazon alexa, amazon elastic compute cloud, amazon web services, analytics, android (operating system), application software, artificial general intelligence, artificial intelligence, attention, automation, aws, aws cloud, aws machine learning summit, aws ml summit, bank, big data, book, chronic condition, cloud, cloud computing, compiler, computer, computer science, computer vision, coursera, creativity, data science, database, database schema, dave vellante, deep learning, downtime, education, electronic health record, emerging technologies, engineer, events, experiment, facial recognition system, fireside chat, game theory, graph database, ground truth, health care, health data, history, human trafficking, hyperglycemia, information, innovation, insight, intelligence analysis, internet, internet of things, jeff bezos, john furrier, keynote, leadership, library, machine learning, maintenance (technical), management, natural language processing, news, optical character recognition, pay for performance (healthcare), point of care, predictive maintenance, product lifecycle, progress, provisioning (telecommunications), real-time computing, reason, recommender system, regression analysis, research, robot, robotics, self, self-driving car, siliconangle, siliconangle inc, siliconangle media inc, simulation, software , software development, speech recognition, switch, system, tensorflow, thecube, theories of humor, training, training, validation, and test sets, transform 2019, turbotax, use case, user interface, venturebeat, virtualization, visualization (graphics), wikibon
Taha Kass-Hout
Director, Machine Learning & Chief Medical Officer at Amazon Web Services (AWS)
adherence (medicine), amazon elastic compute cloud, caregiver, clinical trial, cloud computing, computer vision, coronavirus disease 2019, dave vellante, decision-making, deep learning, diabetes, digital health, digitization, disease, electronic health record, encryption, expert, forecasting, health care, health informatics, health system, health technology, hospital readmission, interoperability, john furrier, machine learning, medical diagnosis, medical history, medical record, neural network, observation, optical character recognition, pay for performance (healthcare), point of care, population health, prediction, predictive analytics, privacy, radiology, risk, science, siliconangle, siliconangle inc, siliconangle media inc, telehealth, thecube, therapy, use case, wearable technology, wikibon
David Vellante
Co-host at theCUBE
postgres vision 2021, #thecube, @thecube, abstraction (computer science), accessibility, accuracy and precision, adherence (medicine), adoption, agnosticism, ai-infused network , altitude, amazon (company), amazon alexa, amazon dynamodb, amazon elastic compute cloud, amazon pay, amazon redshift, amazon web services, analytics, anomaly detection, api, apple inc., application software, architecture, archive, arm architecture, arvind krishna, attention, automation, backup, bell, bias, big data, bill gates, biodiversity, biology, bit, book, boston, brand, business, business-to-business, california, cam, car, carbon black (company), cartesian coordinate system, cash, caveat emptor, central processing unit, cherry, chief information officer, christianity, cisco systems, client–server model, clinical trial, cloud, cloud computing, cloud storage, cloudera, coffee, comma-separated values, communication protocol, complexity, computer, computer appliance, computer data storage, computer file, computer hardware, computer performance, computer vision, computing, concept, conceptual model, consumerization of information technology, conversation, coronavirus disease 2019, cost, covid-19 pandemic, credit, credit card, critical thinking, culture, curve, customer, customer experience, data, data center, data compression, data governance, data integration, data model, data quality, data sharing, data type, data warehouse, database, database design, database transaction, dave cutler, dave vellante, david, debate, debugger, deep learning, dell, dell emc, design, diabetes, digital health, digital transformation, digitization, disease, disney+, distributed computing, dividend, dogma, dream, dynamic pricing, earth, economics, economies of scale, ecosystem, edge computing, educational technology, elasticsearch, electronic cigarette, elevator, email, encryption, energy, engineer, engineering, entrepreneurship, exascale computing, experiment, expert, extract, transform, load, facebook, fee, feeling, fiction, flight, floating-point arithmetic, flops, forecasting, free fall, future, github, goal, google, governance, graphics processing unit, gravity, greenlake, greenplum, grocery store, hashtag, health, health care, health informatics, health system, hewlett packard enterprise, hewlett-packard, hindsight bias, hp cloud, hpe, human, hybrid (biology), ibm, ibm cloud computing, ibm db2 family, ibm think, ibm think 2020, ibm websphere, information, information security, information technology, infrastructure, innovation, insurance, integrated circuit, intel, intelligence, interest, international space station, internet of things, interoperability, investment, ireland, iron, it, it infrastructure, java (programming language), jedi, john furrier, keynote, keynote analysis, knowledge, kubernetes , laptop, latency (engineering), leadership, learning, learning curve, lenovo, life-cycle assessment, linux, linux foundation, logistics, louis v. gerstner jr., love, luxury goods, machine learning, mainframe computer, mana, manufacturing, market (economics), mathematical optimization, matter, medical history, medical record, memory, mergers and acquisitions, metadata, metal, microprocessor, microservices, microsoft, microsoft azure, microsoft sql server, microsoft visual studio, microsoft windows, middleware, milestone, mind, misinformation, mobile app, modernization theory, money, mongodb, monopoly, moore's law, netflix, neural network, news, nigger, nike, inc., node (networking), nosql, nvidia, object storage, observation, office 365, open source, open-source software, open-source-software movement, openshift, operating system, optum, oracle corporation, orchestration (computing), organization, outsourcing, overdrive (mechanics), pain, personal computer, pixar, platform as a service, plumbing, podcast, point of care, population health, postgres, postgresql, prediction, predictive maintenance, pressure, price, pricing, principle, privacy, product lifecycle, question, real-time computing, reason, red hat, red hat summit, red hat summit 2020, regulatory compliance, relational database, reproducibility, research, retail, rhsummit, risk, road, robot, sales, salesforce, sas (software), satya nadella, scalability, science, scientist, security, self-driving car, server (computing), serverless computing, share repurchase, siliconangle, siliconangle inc, siliconangle media inc, simultaneous multithreading, skepticism, ski, ski resort, skiing, slack (software), smart tv, snowflake, social media, software , software framework, software release life cycle, space, speeds and feeds, sql, stack (abstract data type), startup company, statistics, stock, streaming media, stu miniman, studio, subscription business model, supercomputer, supercritical fluid, supply chain, supply chain optimization, system, tableau software, technology, telecommuting, telehealth, telephone, television, tensorflow, teradata, tetris, the twilight zone tower of terror, thecube, therapy, think2020, throughput, tool, transport, twitter, typing, united states, university of edinburgh, use case, value added, value proposition, venmo, verizon communications, vertica, video on demand, virtualization, visibility, visualization (graphics), vmware, vmworld, vmworld 2020, vmworld 2020 analysis two, vmworld 2020 keynote analysis, warehouse, water, watson (computer), wearable technology, weather forecasting, wikibon, windows server, world wide web, yoda, youtube, zoom (software)
Mary Lou Jepsen
Founder & CEO at Openwater
3d printing, ai, alzheimer's disease, antimicrobial resistance, ar, artificial intelligence, artificial intelligence in healthcare, atherosclerosis, augmented reality, automation, biotechnology, blockchain, brain, breast cancer, cancer, census, computing, coronavirus disease 2019, crispr, ct scan, ddt, death, deep learning, dementia, designing thinking, dicom, digital health, ebola virus disease, education, electronic health record, entrepreneurship, extreme poverty, eye, fintech, food and drug administration, functional magnetic resonance imaging, future, future forecasting, future of learning, future of work, futures contract, futurism, futurist, genetics, global health, global summit, google home, google search, health, health care, health information technology for economic and clinical health act, health system, healthcare industry, healthtech, hepatitis, holography, image resolution, infrared, infrastructure, innovation, international statistical classification of diseases and related health problems, laser, leadership, learning, light, machine learning, major depressive disorder, mammography, medical diagnosis, medical imaging, medicine, medtech, mind, nanotechnology, narrative, night vision, night-vision device, nursing, oculus vr, optics, pesticide, peter diamandis, pixel, point of care, polio, poverty, psychiatry, public health, radiation, radio wave, radiology, ray kurzweil, reason, research and development, risk, robotics, science, screening (medicine), self-driving car, singularity hub, singularity university, singularityhub, specialty (medicine), standing wave, startup company, sustainability, sustainable development, talks, tax, technology, telehealth, thought, torture, toxicity, transparency and translucency, tuberculosis, venture capital, virtual reality, visual perception, vr, wearable technology, western african ebola virus epidemic, world health organization
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