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Jess Garcia
Founder at One eSecurity
anomaly detection, artifact (archaeology), big data, computer, computer file, directory (computing), emerging technologies, file system, forensic science, intelligence, machine learning, memory, metadata, news, password, police, prediction, scheduling (computing), science, system, tablet computer, technology, thread (computing), wisdom
Brujo Benavides
Staff Engineer at NextRoll
30 rock, acura, amelia island, android (operating system), anomaly detection, anonymous function, apple inc., application software, aquarium, aurora (disney), ballistics, barometer, behavior, binary file, bit, blog, boolean data type, brown dwarf, california, callback (computer programming), canada, cell site, central processing unit, classical element, classical guitar, code, colombia, color, command-line interface, communication, compiler, computer, computer data storage, computer hardware, computer network, computer programming, computing, confidentiality, covid-19 pandemic, cut, copy, and paste, database, dog, ebay, elijah, elmo, elvis presley, email, emoji, employment, encapsulation (computer programming), error, espn, feedback, feeling, floating-point arithmetic, food, function (mathematics), functional programming, glasses, google, gradient descent, graphics processing unit, guitar, hispanic and latino americans, http cookie, information, information retrieval, interface (computing), internet, internet of things, interview, intrusion detection system, ios, java (programming language), knowledge, language, lawyer, lease, library, library (computing), list comprehension, logic, love, luck, machine, machine learning, magic (supernatural), makefile, mars, mars landing, mathematical optimization, mathematics, meme, memory, metadata, metallica, method (computer programming), mobile app, modular programming, mother, motivation, music, neural network, news, nvidia, observation, open-source-software movement, oregon, paragraph, parameter (computer programming), perseverance (rover), philadelphia, philippines, playstation, playstation vita, property, random-access memory, raspberry pi, real-time computing, reason, recursion, recursion (computer science), reddit, reliability engineering, research, return statement, rock music, ruby (programming language), runtime system, sauce, server (computing), siri, software , source code, source lines of code, space, spain, spanish language, speech synthesis, statistics, string (computer science), stroke, subroutine, text messaging, the home depot, the runaways (2010 film), time, timer, truth, twitter, type system, united states, vector processor, version control, video card, visual basic, wind, youtube
Sean Law
Principal Data Scientist, R&D at Charles Schwab
analysis of algorithms, anomaly detection, brute-force search, cluster analysis, data analysis, data science, deep learning, distance, engineering, fast fourier transform, forecasting, graphics processing unit, intelligence, line (geometry), machine learning, memory, metric (mathematics), nearest neighbor search, parameter, pythagorean theorem, python, python tutorial, right triangle, science, scientific computing, scientific computing conference 2021, scipy2021, software tools, time, time series, triangle, unsupervised learning, vector space
Bryan Elverson
MTS Software Engineer at Riverbed Technology
bigdata2020, high-tech companies, anomaly detection, application of big data, byte, c++, central processing unit, communication protocol, computer data storage, computer hardware, computer network, computer performance, computing, dashboard (business), database, database engine, digital equipment corporation, disk storage, high-technology, innovation, internet protocol, it data, machine learning, network management, network performance management, pipeline (computing), port (computer networking), router (computing), science, technology professionals, telephone call, telephone switchboard, thread (computing), time series
Smit Shah
Senior Software Engineer at Zillow, Inc.
anomaly detection, behavior, big data, customer experience, data, data quality, database, engineering, hyperparameter (machine learning), market research, mathematical model, mind, motivation, prediction, price, reliability engineering, research, resource, root cause analysis, scalability, system, time series, training, validation, and test sets, use case, user-defined function, zillow
Sayan Chakraborty
Data Scientist at Zillow, Inc.
anomaly detection, behavior, big data, customer experience, data, data quality, database, engineering, hyperparameter (machine learning), market research, mathematical model, mind, motivation, prediction, price, reliability engineering, research, resource, root cause analysis, scalability, system, time series, training, validation, and test sets, use case, user-defined function, zillow
Hugh Hind
President | Co-founder at Quadrical.ai
ai, ai in mumbai, anomaly detection, artificial intelligence, artificialintelligence, asset, automation, bigdata, bit, business, byte, cloud computing, code, coding, concept, data, datascience, deeplearning, domain name system, entrepreneur, fintech, fintechs, future, futureofwork, going global, hard disk drive, income, india, innovation, internet, iot, language, logistics, long short-term memory, machinelearning, memory, ml, mumbai, mumbai ai, netscape, outlier, prediction, programmer, programming, python, robot, robotics, science, startup, startups, statistical classification, system, tax, tech, tech enthusiast, technology, web browser, womenintech, world wide web
Jan Jongboom
Developer Evangelist IoT at ARM
machine learning approaches, accelerometer, accuracy and precision, algorithm, alphago, altitude, android (operating system), anomaly detection, artificial intelligence, artificial intelligence 2020, artificial neural network, atmospheric pressure, central processing unit, cloud computing, cluster analysis, computer, computer data storage, computer network, computer science, computer science 2021, computer science event, computer science event 2021, convolution, convolutional neural network, correlation and dependence, data compression, deep learning, deepmind, email, embedded system, encryption, engineering, filter (signal processing), future, graph (abstract data type), hyperparameter (machine learning), information technology conference , innovation, intel, intelligence, internet, iot, k-means clustering, keyboard technology, language, latency (engineering), lawyer, learning, learning rate, lora, lorawan, low-pass filter, machine learning, machine learning 2020, machine learning 2021, machine learning techniques, machine learning technologie, machine learning technologies , machine learning tools, map, microsoft, microsoft windows, network, network optimization , neural network, of, parameter, perception, pipeline (computing), pixel, plug and play, prediction, random-access memory, raster graphics, read-only memory, reason, recurrent neural network, sears, sensor, signal, signal processing, spectral density, switch, talk by peter schulmeyer, tax, technologie, the, thermometer, things, tinyml conference 2020, tinyml foundation, tinyml talks 2021, tinyml2021, tinyml2021 talk, ttn, tuner (radio), walt disney world, water
Karl Albertsen
Principal Product Manager, Tech - AI Vertical Services at Amazon Web Services (AWS)
ai, amazon, amazon (company), amazon web services, analytics, anomaly detection, artificial intelligence, aws, aws machine learning summit, aws ml summit, business analytics, central processing unit, customer experience, direct-to-consumer, food, forecasting, grocery store, internet, inventory, machine learning, mail, mle203, no expertise required, retail, shopping, time series, usability, web template system, website, world wide web
Bo Long
Vice President of Engineering at JD.COM
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Yang Yang
Software Engineer at Pinterest
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Tie Wang
Engineering Manager- Relevance Engineering at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Xinwei Gong
Staff Software Engineer at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Yen-Jung Chang
Applied Research Scientist at Facebook AI
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Kexin Nie
Research Scientist at Facebook
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Ruoying Wang
Software Engineer at LinkedIn
acm 2020, anomaly detection, artificial intelligence, artificial neural network, autoencoder, computer science 2020, computer science event 2020, computer vision, data compression, data science, deep learning, generative model, image segmentation, kdd2020, kdd2020 tutorials, kullback–leibler divergence, lane departure warning system, likelihood function, machine learning, one-class classification, overfitting, prior probability, real-time computing, self-driving car, semi-supervised learning, singular value decomposition, standard score, statistical inference, statistics, traffic, unsupervised learning, variational bayesian methods, vehicular automation
Joe Ross
Principal Data Scientist at Splunk
adaboost, ai, anomaly detection, artificial neural network, average, bias–variance tradeoff, big data technology engineering software engineering software development, boosting (machine learning), calculus, computer vision, data structures, decision tree learning, differentiable function, ensemble learning, error, errors and residuals, exponential function, generalization error, hypothesis, kernel method, machine learning, mathematical optimization, mathematics, mean, median, norm (mathematics), normal distribution, outlier, overfitting, parameter, polynomial, quantile, random forest, random variable, random walk, read-only memory, real number, resampling (statistics), research, resource, sampling (statistics), service-level agreement, signal, skewness, standard deviation, statistical classification, statistics, stream processing, string (computer science), tangent, taylor series, time, time series, variance, vector space
Vijay Janapa Reddi
MLPerf Inference Chair, Associate Professor at John A. Paulson School of Engineering and Applied Sciences, Harvard University
algorithm, android (operating system), anomaly detection, api, apple inc., application software, benchmarking, bit, calibration, camera, carnegie mellon university, central processing unit, cloud computing, computer architecture, computer hardware, computer network, computer science, computer vision, computing, data science, distributed computing, emergence, end user, engineering, framebuffer, global positioning system, google, graphics processing unit, hardware acceleration, image editing, image resolution, image segmentation, information, internet of things, learning, machine learning, massachusetts institute of technology, memory, microcontroller, microsoft office, mobile phone, mobile software, motivation, neural network, pipeline (computing), pixel, privacy, qualcomm snapdragon, quality of experience, raspberry pi, real-time computing, reason, self-driving car, sensor, signal, smart speaker, smartphone, software , system, system on a chip, throughput, use case, visual perception
Chris Harrison
CTO at Qeexo
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Gierad Laput
Researcher at Apple
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
John Fry
Senior Director Technology Strategy: ARM IoT Services Group at Arm
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Tina Shyuan
Director of Product Marketing at Qeexo
anomaly detection, apple inc., application software, bit, calibration, carnegie mellon university, cloud computing, computer hardware, data science, distributed computing, emergence, google, information, internet of things, machine learning, massachusetts institute of technology, microsoft office, privacy, real-time computing, sensor, signal, smart speaker, software , system
Meina Zhou
Director of Data Science at Solve(d)
ai, anomaly detection, automation, blockchain, cluster analysis, computer vision, continuous delivery, continuous integration, data quality, data science, data scientist, database, extract, transform, load, fraud, health care, internet of things, ios, laptop, machine learning, medical billing, metadata, pipeline (computing), prediction, research, science, server (computing), statistical classification, supervised learning, use case
Mai-Lan Tomsen Bukovec
WS Vice President at Amazon Web Services (AWS)
amazon (company), amazon elastic compute cloud, amazon web services, analytics, anomaly detection, archive, attention, backup, cam, cloud computing, cloud storage, comma-separated values, communication protocol, complexity, computer, computer appliance, computer data storage, computer file, computer hardware, computer performance, cost, data center, data model, data type, data warehouse, dave vellante, digitalglobe, dynamic pricing, electronic health record, encryption, engineering, financial industry regulatory authority, goal, health, icloud, innovation, intel, intelligence, internet of things, john furrier, learning, machine learning, mind, object storage, peace corps, price, pricing, property, reason, replication (computing), research, sales, salesforce, science, technology, engineering, and mathematics, serverless computing, siliconangle, siliconangle inc, siliconangle media inc, software , speeds and feeds, ssh file transfer protocol, tableau software, telehealth, thecube, throughput, virtualization, visualization (graphics), web application, wikibon, zettabyte era
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)
Steven Schwager
Professor at Cornell University
anomaly detection, big data, binary data, clinical trial, cluster analysis, communication protocol, computer programming, correlation and dependence, data quality, database, dependent and independent variables, devops, distance matrix, errors and residuals, information, machine learning, outlier, pharmaceutical industry, reason, regression analysis, research, rmedicine, rstats, software , software development, statistics
Tony DeMarco
Data Scientist at Lockheed Martin
amazon elastic compute cloud, analytics, anomaly detection, apache hadoop, artificial neural network, conceptual model, correlation and dependence, digital twin, eigenvalues and eigenvectors, errors and residuals, expert, informs, lockheed martin, long short-term memory, machine learning, math, mathematics, matrix (mathematics), mean, metadata, mqtt, nasa, neural network, nosql, o.r., operations research, optimization, or, recurrent neural network, statistical model, statistics, tensorflow, variance
Bryan Massie
Data Engineer/Architect and Technical Fellow at Lockheed Martin
amazon elastic compute cloud, analytics, anomaly detection, apache hadoop, artificial neural network, conceptual model, correlation and dependence, digital twin, eigenvalues and eigenvectors, errors and residuals, expert, informs, lockheed martin, long short-term memory, machine learning, math, mathematics, matrix (mathematics), mean, metadata, mqtt, nasa, neural network, nosql, o.r., operations research, optimization, or, recurrent neural network, statistical model, statistics, tensorflow, variance
Emanuela Furfaro
Visiting Assistant Professor in Statistics at University of California, Davis
anomaly detection, api, betamax, clinical trial, computer programming, database, food and drug administration, grid computing, java (programming language), job shop scheduling, knapsack problem, library (computing), linux, mathematical optimization, microsoft sql server, outlier, predictive maintenance, prescription drug, python (programming language), regression analysis, sas (software), server (computing), slack (software), targeted advertising, time series
Jared Lander
Chief Data Scientist at Lander Analytics
accuracy and precision, ai, anomaly detection, api, argument, artificial neural network, autoregressive integrated moving average, average, baby bottle, betamax, bias–variance tradeoff, binary classification, bit, breast milk, categorical variable, clinical trial, comma-separated values, command-line interface, computer file, computer programming, computer virus, computing, confidence interval, data science, database, decision tree learning, deep learning, dependent and independent variables, derivative, directory (computing), early stopping, elastic net regularization, estimator, euclidean vector, explainable ai, field (mathematics), food and drug administration, forecasting, function (mathematics), generalized linear model, github, grid computing, histogram, hyperparameter (machine learning), intelligence, interface (computing), java (programming language), job shop scheduling, knapsack problem, lasso (statistics), library (computing), linear equation, linux, logarithm, logistic regression, loss function, machine learning, mathematical optimization, mathematics, matrix (mathematics), mean, microsoft excel, microsoft sql server, multilingualism, nap, neural network, number, odsc, odsc india, outlier, overfitting, path (computing), pizza, prediction, predictive maintenance, prescription drug, prophet, python (programming language), random forest, random walk, regression analysis, regularized least squares, sas (software), server (computing), slack (software), slope, sparse matrix, standard deviation, statistical classification, statistics, stochastic gradient descent, supervised learning, targeted advertising, tensorflow, time series, time zone, tinder (app), training, validation, and test sets, transpose, united states, variance, xai
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