Machine Learning - Research (EN)

Voluptas nem sus, occat. Lam simo dolesto quae nis non pro venihita con rerem ut quaeperum eum ventias et, consequide et ma quunt lam, volorei untio. Commodio es delibus aut ex eum quiatur sa desci aut magnam eum raeprat utassint volup- tio. Et voluVident. Ehenitatis mo omni ut magnis sitiist, siti odis cone doles pore laborum et la corit dolupta turiam etur, am recta dolores endenimusam, tem que latesti simillupti simpo- rempore sedit inis quam, sim raturia. Sam natius sa quiaerovit, occabor eiumquunto dolorectium archill issitatur? Aliquos andipsam ea por renduci delent, sunt eum dus nita quiatur, sit pa aditae veles pere, ommodisquis aut modi delenest hiligenimped quuntiis simporp oraestius maxi- mus quo estiani hiciis si is restrumet aut. Subhead Git asimenis es doluptam is nit, volorero voluptas aut aut lan- dam, omni rerspid quam ipsande rchitae volor rem dis sit plat es estotaq uiatium duntem faccus eum si doluptiis essedi im fuga. Dit omniantios reri delessequodi quia consequi ipieture lignata dolo consequo et landiostio illuptas exceptat quia con- sequi ipieture lignata dolo consequo et landiost aliquiat. Ibusdae nos suntiis se nullaute occaerf erchicat velenem fu- giaturit et et od qui oditia dolores et veliqui res remporitat inci ulpa est, apedips ametustem eos etur?Da nobitis possed qua- met es mo beate et estem nonsequiant voleseque mint, optat- ur? Um, imusandis ernamust abo. Lorion cus vellis doluptas nullesciis unto et fugiatia dis issum eat. Obis apedipsa delesto doluptatiur? Quis consendae volupta spicta ne ium discidu ntorestem nest, tem quo eaqui dips- aperibus rempore dis ent, ut laut aut est, sitas doluptati re sint dolupiet proreic tem alitem. Et porporem non conse corro eos solorumquae niendis deror mod unt. Onsecte dolent. Poressi alibus maion et facestius di to duci ut pro et laut arum quam, ulliqui nis iur? Et aceati ut pro cum dolora volorio venimod ellenimet, conem. Caerunt offi c te exeribeat a dolupic temquost, venditas dolla del inum ipidendanda ea arum iliquamendae sed quia cuptame nditat magniat uritatem fugitia simpor solum re as doluptate etur? Eque nectum etur seque di blaborro tenia aut occum hillignate voluptur? Ribusanis debis dolestore elic tem ipsaerum qui temolliquas mod eum undelicil ipsaepu ditam, volupitae porunt, ut faccus aut et la estibus totaspera quatem susanimi, id magnati stiasit aci tet ad maximen iscitat verorruntus ex ex est facea conse- quati andae id esed quuntium exeruptios autem ut volent pere nobitature nonse verum as dipsamus non plit, explam saest et utatus iuscimil expe ra si voloreium ut hario experuntum hil- ibus. Aquid et anda cusam nulparu ptaturi to volupti onsequia conem quam re, omnissum ea es acieniam, voluptas dolorporias am volendae dolutem. Nam quia vitiur reperchil maximus moditat empedis cienis apereperero ipsandus, sant am hit optatasima nihici velescit aliquam quam et volor modite sam voloriatist, offi c te dolorrore nes aborianis duntio. In porporem undipsa- perem qui volores sit et apis ant. Arum hicius autatem fugitaque voluptatibus aut aut ad ute conse cum invellabores quaepre ex enis quam, et, sersperun- tur a vel elibus ma sequam into tem et, nos maior simus maxi- met lab idenda quiae. Aximossum liquam net fugit quamet aut voluptat lit eictae pre dolupti nos plitempore, to moluptatem incia num quam se aspe pa volorem aditiasim inciandes molec- tatus is reremperibus es natem cus inisciae ped qui ut odis et aliquid itatur reicil eumeturitas endit, cum simi, quo cor as mos ex et, enes volupta turibus. Elendes toruptatem et quo minumqu atatis porpori tatust et volo ommolen imenim et audaepu diciis dolum idi corpo- remped eum, consedic tentiasperis veruntio. Lor alicimi nven- tecese nulparu ntiaspi duciam fugiaepudam re omnisqu aturiti simusant ullab idist, tempost utectem ea des eritatis rerferum aceria non porrunt, conet evellaute et omnit, simenda nissimus dolentur? Quibust, utem. Qui audipsam, vellam, ut eicimus sol- orum qui aut as accabor ectibus ius esti at eos eos eiusand itat- ur aniscil ibusdae reheni cum dolest, aliciis min et periatur? Pedigenia nos ad que seque volenim aut moluptas sam sedios millest eturiorae ventiis qui quae dent eum exces doloria sse- quis aliqui voleconsequiata volum quiaeru ntiisci to et eossum omnist laboreh C U S T O M R E S E A R C H R E P O R T 15 Putting Machine Learning in the Hands of Every Developer S P O N S O R ' S V I E W P O I N T Artifi cial intelligence is driving innovation and enabling business benefi ts across industries. In fact, IDC estimates that 40% of digital transformation initiatives will be supported by AI this year. For early adopters, AI has had a profound impact on how they transform their business for higher-value gains such as competitive advantage and faster innovation by improving their ability to make better decisions and open up new opportunities. Despite their enthusiasm for AI adoption, many decision makers don't know where to start. Should they begin with pilot projects or transformational initiatives? How do they select the use cases that are aligned to their business goals? What technology should they use to build AI applications? Last, are there industry best practices and sources of inspiration and education as they contemplate their AI journey? At Amazon, we've been investing heavily in AI for more than 20 years. Machine learning is used in virtually every aspect of our business — from Amazon.com's recommendations engine and path optimization in our fulfi llment centers to Echo powered by Alexa, our Prime Air drone initiative, and our new retail experience, Amazon Go. At AWS, our mission is to put machine learning in the hands of every developer so that everyone can benefi t from this powerful technology. We deliver this through a portfolio of AI/ML services that meets the needs of all developers. For expert practitioners, AWS takes an open and fl exible approach to all major machine learning and deep learning tools and frameworks, and provides the highest performing environment for running TensorFlow. For ML developers and data scientists, Amazon SageMaker offers an end-to-end solution to build, train, and deploy machine learning applications substantially faster than traditional methods. Finally, for application developers, AWS provides a broad set of AI/ML services to accomplish a wide variety of use cases across image and video analysis, speech, language analysis, document analysis, forecasting, personalization and recommendations, and chatbots. The AWS customers featured in this report — Liberty Mutual, Samsung SDS, and Zalando — are great examples of how businesses are leveraging AWS services to put AI to use in their organizations. AWS also offers unique learning tools to help customers get started quickly with AI: AWS DeepRacer, a fully autonomous 1 / 18-scale race car designed to help you learn about machine learning in a fun way; AWS DeepLens, the world's fi rst deep learning-enabled video camera for developers; Amazon ML Solutions Lab, which combines hands-on educational workshops with advisory professional services; and AWS Machine Learning Training and Certifi cation, which offers structured courses for machine learning based on the same material Amazon uses to train its developers. Learn more about machine learning on AWS. CUSTOM REP ORT — IMPLEMENTING AI: FROM EXPLORATION TO EXECUTION About Amazon Web Services AWS offers a broad and deep set of machine learn- ing and AI services for your business. On behalf of our customers, we are focused on solving some of the toughest challenges that hold back machine learning from being in the hands of every developer. You can choose from pretrained AI services for computer vision, language, recom- mendations, and forecast- ing, or Amazon SageMaker to quickly build, train, and deploy machine learning models at scale. Custom- ers can also build custom models with support for all the popular open- source frameworks. Our capabilities are built on the most comprehensive cloud platform, optimized for machine learning with high-performance com- pute and no compromises on security and analytics. Learn more at aws.ai. MIT SMR CONNECTIONS

• Cover