Talks

ai, amazon web services, asia, best practice, business event, canada, conference, education, emerging tech, entrepreneur conference, innovation, internet of things, latin america, lgbt, linkedin, machine learning, ml, partnership, private equity, silicon valley, startup company, twitter, united states, amazon (company), amazon elastic compute cloud, contract, hackathon, minority group, science, technology, engineering, and mathematics, thought, truth, george floyd protests

amazon web services, analytics, api, cloud computing, collaborative filtering, communication, json, library, linux, netflix, prediction, amazon (company), amazon elastic compute cloud, child care, docker (software), entry point, ipv4, library (computing), load balancing (computing), metric (mathematics), proxy server, recommender system, router (computing), stack (abstract data type)

amazon web services, central processing unit, cloud computing, conversation, data center, database, devops, operating system, programmer, system, web framework, abstraction (computer science), amazon elastic compute cloud, anonymous function, booting, computer data storage, computer network, file system, function as a service, lazy evaluation, library (computing), runtime system, serverless computing, virtual machine, world wide web

amazon web services, cloud computing, ibm, infrastructure as code, internet of things, kubernetes , lenovo, linux, microcontroller, microsoft, microsoft azure, operating system, postgresql, scalability, sql, amazon elastic compute cloud, application software, hewlett-packard, inventory, linux distribution, microsoft windows, server (computing), web browser, web portal, secure shell protocol

amazon web services, cloud computing, downtime, innovation, internet, internet of things, ios, mobile app, mqtt, operating system, renewable energy, television, amazon elastic compute cloud, digital twin, forklift, input/output, insight, inventory, itron, maintenance (technical), predictive maintenance, solar panel, apache flex, industrial settings, dc connector

amazon web services, cloud computing, computer, concept, dashboards, google, infrastructure, infrastructure as code, language, nothing, reason, software , tools, version control, amazon elastic compute cloud, disk storage, luck, microsoft excel, soul, tablet computer, text file, truth, understanding, use case, wisdom, functionality

3d modeling, advertising, amazon web services, augmented reality, categorization, central processing unit, cloud computing, google, graphics processing unit, mozilla, open-source software, virtual reality, amazon elastic compute cloud, discord (software), page layout, shader, supercomputer, texture mapping, videotelephony, virtual reality headset, world wide web, creative technology, rec room (video game), zoom fatigue

amazon web services, aws, cloud, cloud computing, mobile app, virtual, virtual conference, website, adobe inc., amazon elastic compute cloud, autoscaling, cache (computing), certificate authority, computer file, denial-of-service attack, domain name system, dynamic web page, http cookie, hypertext transfer protocol, load balancing (computing), public key certificate, streaming media, time to live, transport layer security, web traffic, world wide web, media server, web hosting service, cname record, cloud conference, six feet up, sixfeetup, cloudfront

amazon web services, api, aws, bluetooth, cloud, cloud computing, computer hardware, database, debugging, encryption, internet, internet of things, iot, machine learning, mqtt, raspberry pi, salesforce, virtual, virtual conference, amazon (company), amazon elastic compute cloud, booting, camera, computer network, download, file system, general-purpose input/output, over-the-air programming, provisioning (telecommunications), serverless computing, upload, six feet up, sixfeetup, greengrass

amazon web services, cloud, cloud computing, continuous integration, database, fasting, hardware, intermittent fasting, ios, iot, microservices, mobile app, virtual, virtual conference, wearables, weight loss, amazon dynamodb, amazon elastic compute cloud, apple inc., attention, electronic health record, fitbit, hackathon, hypertext transfer protocol, medical record, race condition, upload, wearable computer, weight, world wide web, cloud conference, six feet up, sixfeetup, health (apple)

amazon web services, cloud, data center, devops, encryption, financial technology, governance, infrastructure as code, linux, operating system, procurement, virtual, virtual conference, active directory, amazon (company), amazon elastic compute cloud, bank, business continuity planning, firewall (computing), intrusion detection system, loyalty program, patch (computing), principle of least privilege, serverless computing, virtual machine, navient, cloud conference, six feet up, sixfeetup, private student loan (united states), sallie mae

amazon s3, amazon web services, api, aws, azure, backup, cloud, cloud storage, flash memory, gcp, operating system, storage, virtual, virtual conference, vmware, amazon elastic compute cloud, autoscaling, computer file, device driver, device file, file server, file system, hard disk drive, hypertext transfer protocol, nvm express, network file system, object storage, representational state transfer, samba (software), server message block, solid-state drive, usb flash drive, world wide web, cloud conference, six feet up, sixfeetup

amazon web services, aws, bluetooth, cloud, cloud computing, communication, email, hardware, information security, internet of things, iot, javascript, reason, security, sms, splunk, technology, amazon elastic compute cloud, capacitor, control flow, dashboard (business), embedded system, light-emitting diode, login, push technology, twilio, world wide web, zoom (software), federated identity, google workspace, six feet up, sixfeetup

amazon web services, asynchronous, automation, cloud computing, computing, data center, data lakes, distributed database, fintech, graalvm, hdfs, health check, it infrastructure, kotlin, microservice, netapp, postgresql, public cloud, quarkus, scalability, serverless, software , telemetry, adaptive bitrate streaming, amazon alexa, amazon elastic compute cloud, amazon relational database service, cgroups, control plane, domain name system, electrical grid, latency (engineering), load balancing (computing), need for speed, reliability engineering, replication (computing), server (computing), serverless computing, service-oriented architecture, software bug, virtual private cloud, flagger , app migration, caching patterns, cloud sidecar, clusters gitops, fluentd save, flux2 multi-cloud, galls law, gatekeeper, gating service, graviton2, iam reliability, infrastructure drift, jumpstart, kubernetes cloud, multi-cloud magic, opa, open liberty, pipelines ci/cd, poilcy-as-code

amazon web services, api, asynchronous, automation, best practice, cloud computing, data lakes, database, distributed database, fintech, graalvm, hdfs, health check, internet, kotlin, microservice, nosql, public cloud, quarkus, serverless, software , system, tax, telemetry, web service, amazon (company), amazon dynamodb, amazon elastic compute cloud, cgroups, computer network, hypertext transfer protocol, internet protocol, library (computing), load balancing (computing), need for speed, program optimization, recommender system, reliability engineering, software bug, world wide web, flagger , app migration, caching patterns, cloud sidecar, clusters gitops, fluentd save, flux2 multi-cloud, galls law, gatekeeper, gating service, graviton2, iam reliability, infrastructure drift, jumpstart, kubernetes cloud, multi-cloud magic, opa, open liberty, pipelines ci/cd, poilcy-as-code

asynchronous, automation, big data, central processing unit, cloud computing, data lakes, database, distributed database, estimation, fintech, graalvm, grafana, hdfs, health check, kotlin, linkedin, machine learning, microservice, microservices, openstack, public cloud, quarkus, serverless, simulation, social media, telemetry, time, utility, web service, amazon elastic compute cloud, average, business process management, cgroups, gmail, light, mathematical optimization, need for speed, serverless computing, spectre (security vulnerability), traffic light, enterprise service bus, flagger , app migration, caching patterns, cloud sidecar, clusters gitops, fluentd save, flux2 multi-cloud, galls law, gatekeeper, gating service, graviton2, iam reliability, infrastructure drift, jumpstart, kubernetes cloud, multi-cloud magic, opa, open liberty, pipelines ci/cd, poilcy-as-code

amazon web services, asynchronous, automation, backup, cloud computing, data center, data lakes, database, distributed database, downtime, fintech, graalvm, hdfs, health check, internet of things, kotlin, microservice, microservices, mongodb, nosql, postgresql, proprietary software, public cloud, quarkus, scalability, serverless, social media, telemetry, teradata, amazon dynamodb, amazon elastic compute cloud, amazon relational database service, cache (computing), cgroups, client–server model, mainframe computer, microsoft sql server, need for speed, oracle corporation, patch (computing), stored procedure, flagger , app migration, caching patterns, cloud sidecar, clusters gitops, fluentd save, flux2 multi-cloud, galls law, gatekeeper, gating service, graviton2, iam reliability, infrastructure drift, jumpstart, kubernetes cloud, multi-cloud magic, opa, open liberty, pipelines ci/cd, poilcy-as-code

amazon web services, api, asynchronous, automation, best practice, cloud computing, data center, data lakes, database, distributed database, fintech, graalvm, hacker, hdfs, health check, identity management, kotlin, microservice, operating system, public cloud, quarkus, serverless, social media, telemetry, twitter, active directory, amazon elastic compute cloud, authorization, cgroups, cloud computing security, data exfiltration, function (mathematics), health insurance portability and accountability act, need for speed, security hacker, social engineering (security), use case, vulnerability (computing), world wide web, attribute-based access control, flagger , app migration, caching patterns, cloud sidecar, clusters gitops, fluentd save, flux2 multi-cloud, galls law, gatekeeper, gating service, graviton2, iam reliability, infrastructure drift, jumpstart, kubernetes cloud, multi-cloud magic, opa, open liberty, pipelines ci/cd, poilcy-as-code

authentication, best practice, cloud computing, cryptocurrency, database, education, encryption, icloud, identity management, kubernetes , research, risk, amazon elastic compute cloud, cloud computing security, credential, firewall (computing), image scanner, login, multi-factor authentication, password, principle of least privilege, rsa security, superuser, user (computing)

amazon s3, amazon web services, api, backup, cloud computing, encryption, infrastructure as code, internet, metadata, microsoft, microsoft azure, mobile app, node.js, web service, amazon dynamodb, amazon elastic compute cloud, command-line interface, computer network, file transfer protocol, npm (software), proxy server, subnetwork, threats among, altmetrics

amazon web services, cloud computing, content delivery network, database, kubernetes , load testing, node.js, version control, websocket, amazon elastic compute cloud, autoscaling, command-line interface, deployment environment, hypertext transfer protocol, immutable object, key (cryptography), load balancing (computing), login, password, react (web framework), representational state transfer, server (computing), serverless computing, software bug, web browser, six feet up, sixfeetup

amazon web services, analytics, api, cloud computing, computer, computer programming, continuous integration, database, infrastructure as code, instagram, microservices, software as a service, typescript, amazon (company), amazon dynamodb, amazon elastic compute cloud, anonymous function, booting, domain name system, function (mathematics), library (computing), load balancing (computing), personal computer, scope (computer science), virtual private cloud, six feet up, sixfeetup

continuous integration, data science, devops, education, github, machine learning, mind, regression testing, research, software , software development, source code, system, version control, accuracy and precision, amazon elastic compute cloud, distributed version control, google drive, library (computing), mathematical model, project jupyter, regression analysis, software release life cycle, university of michigan school of information

api, business model, cloud computing, cloud storage, database, information, learning, open-source software, price, smart tv, amazon elastic compute cloud, authorization, business process, communication protocol, computer data storage, computer file, data sharing, luck, oracle corporation, point-to-point (telecommunications), rust (programming language), server (computing), streaming media, transport layer security, use case

ai, amazon, amazon web services, api, artificial intelligence, automation, aws, backup, best practice, cloud computing, data science, database, devops, expert, future, machine learning, microservices, scalability, system, telemetry, amazon dynamodb, amazon elastic compute cloud, bit, dashboard (business), gateway (telecommunications), load balancing (computing), program optimization, reliability engineering, stack (abstract data type), aws machine learning summit, aws ml summit, no expertise required, mle303

ai, algorithm, amazon, amazon web services, api, artificial intelligence, aws, central processing unit, computer hardware, deep learning, graphics processing unit, machine learning, natural language processing, tensorflow, amazon elastic compute cloud, customer relationship management, document classification, global positioning system, hyperparameter (machine learning), instruction pipelining, logic, message passing interface, modding, network topology, percentage, supercomputer, von neumann architecture, aws machine learning summit, aws ml summit, how machine learning is done, hml401

ai, amazon, amazon web services, artificial intelligence, aws, computing, deep learning, graphics processing unit, kubernetes , machine learning, operating system, software , tensorflow, tool, amazon elastic compute cloud, application software, command-line interface, computer cluster, consensus (computer science), hyperparameter (machine learning), laptop, library (computing), project jupyter, server (computing), software framework, specification (technical standard), stack (abstract data type), thread (computing), app store (ios/ipados), aws machine learning summit, aws ml summit, how machine learning is done, hml307

ai, amazon, artificial intelligence, aws, cloud computing, deep learning, engineering, graphics processing unit, inference, machine learning, memory, prediction, sms, spotify, activation function, amazon elastic compute cloud, artificial neural network, chromecast, data pre-processing, error detection and correction, life-cycle assessment, multi-factor authentication, outlier, overfitting, performance indicator, real-time computing, use case, cd-rom, aws machine learning summit, aws ml summit, how machine learning is done, hml305

ai, amazon, artificial intelligence, aws, cloud computing, fraud, machine learning, open-source software, risk, source code, statistics, tensorflow, accuracy and precision, amazon elastic compute cloud, artificial neural network, backpropagation, cluster analysis, command-line interface, entry point, ground truth, hyperparameter (machine learning), mean squared error, parameter (computer programming), precision and recall, regression analysis, software framework, software repository, upload, early stopping, aws machine learning summit, aws ml summit, how machine learning is done, hml304

ai, amazon, amazon web services, artificial intelligence, automation, aws, cloud computing, computer vision, deep learning, downtime, keynote, machine learning, product lifecycle, self-driving car, simulation, amazon (company), amazon alexa, amazon elastic compute cloud, game theory, ground truth, intelligence analysis, maintenance (technical), optical character recognition, provisioning (telecommunications), recommender system, turbotax, use case, aws machine learning summit, aws ml summit, theories of humor