R in Retail & E-Commerce: ML Ops - Machine Learning as an Engineering Discipline

schedule

Tuesday, November 30, 6:00pm - 7:00pm (EST)

south_america expand_more Time shown in-04:00 America, New York
search
close

Time zone

am/pm

24h

  • (GMT-11:00)Pacific, Midway
  • (GMT-11:00)Pacific, Niue
  • (GMT-11:00)Pacific, Pago Pago
  • (GMT-10:00)Pacific, Honolulu
  • (GMT-10:00)Pacific, Rarotonga
  • (GMT-10:00)Pacific, Tahiti
  • (GMT-09:30)Pacific, Marquesas
  • (GMT-09:00)America, Adak
  • (GMT-09:00)Pacific, Gambier
  • (GMT-08:00)America, Anchorage
  • (GMT-08:00)America, Juneau
  • (GMT-08:00)America, Metlakatla
  • (GMT-08:00)America, Nome
  • (GMT-08:00)America, Sitka
  • (GMT-08:00)America, Yakutat
  • (GMT-08:00)Pacific, Pitcairn
  • (GMT-07:00)America, Creston
  • (GMT-07:00)America, Dawson
  • (GMT-07:00)America, Dawson Creek
  • (GMT-07:00)America, Fort Nelson
  • (GMT-07:00)America, Hermosillo
  • (GMT-07:00)America, Los Angeles
  • (GMT-07:00)America, Phoenix
  • (GMT-07:00)America, Tijuana
  • (GMT-07:00)America, Vancouver
  • (GMT-07:00)America, Whitehorse
  • (GMT-06:00)America, Belize
  • (GMT-06:00)America, Boise
  • (GMT-06:00)America, Cambridge Bay
  • (GMT-06:00)America, Chihuahua
  • (GMT-06:00)America, Costa Rica
  • (GMT-06:00)America, Denver
  • (GMT-06:00)America, Edmonton
  • (GMT-06:00)America, El Salvador
  • (GMT-06:00)America, Guatemala
  • (GMT-06:00)America, Inuvik
  • (GMT-06:00)America, Managua
  • (GMT-06:00)America, Mazatlan
  • (GMT-06:00)America, Ojinaga
  • (GMT-06:00)America, Regina
  • (GMT-06:00)America, Swift Current
  • (GMT-06:00)America, Tegucigalpa
  • (GMT-06:00)America, Yellowknife
  • (GMT-06:00)Pacific, Galapagos
  • (GMT-05:00)America, Atikokan
  • (GMT-05:00)America, Bahia Banderas
  • (GMT-05:00)America, Bogota
  • (GMT-05:00)America, Cancun
  • (GMT-05:00)America, Cayman
  • (GMT-05:00)America, Chicago
  • (GMT-05:00)America, Eirunepe
  • (GMT-05:00)America, Guayaquil
  • (GMT-05:00)America, Indiana, Knox
  • (GMT-05:00)America, Indiana, Tell City
  • (GMT-05:00)America, Jamaica
  • (GMT-05:00)America, Lima
  • (GMT-05:00)America, Matamoros
  • (GMT-05:00)America, Menominee
  • (GMT-05:00)America, Merida
  • (GMT-05:00)America, Mexico City
  • (GMT-05:00)America, Monterrey
  • (GMT-05:00)America, North Dakota, Beulah
  • (GMT-05:00)America, North Dakota, Center
  • (GMT-05:00)America, North Dakota, New Salem
  • (GMT-05:00)America, Panama
  • (GMT-05:00)America, Rainy River
  • (GMT-05:00)America, Rankin Inlet
  • (GMT-05:00)America, Resolute
  • (GMT-05:00)America, Rio Branco
  • (GMT-05:00)America, Winnipeg
  • (GMT-05:00)Pacific, Easter
  • (GMT-04:00)America, Anguilla
  • (GMT-04:00)America, Antigua
  • (GMT-04:00)America, Aruba
  • (GMT-04:00)America, Asuncion
  • (GMT-04:00)America, Barbados
  • (GMT-04:00)America, Blanc-Sablon
  • (GMT-04:00)America, Boa Vista
  • (GMT-04:00)America, Campo Grande
  • (GMT-04:00)America, Caracas
  • (GMT-04:00)America, Cuiaba
  • (GMT-04:00)America, Curacao
  • (GMT-04:00)America, Detroit
  • (GMT-04:00)America, Dominica
  • (GMT-04:00)America, Grand Turk
  • (GMT-04:00)America, Grenada
  • (GMT-04:00)America, Guadeloupe
  • (GMT-04:00)America, Guyana
  • (GMT-04:00)America, Havana
  • (GMT-04:00)America, Indiana, Indianapolis
  • (GMT-04:00)America, Indiana, Marengo
  • (GMT-04:00)America, Indiana, Petersburg
  • (GMT-04:00)America, Indiana, Vevay
  • (GMT-04:00)America, Indiana, Vincennes
  • (GMT-04:00)America, Indiana, Winamac
  • (GMT-04:00)America, Iqaluit
  • (GMT-04:00)America, Kentucky, Louisville
  • (GMT-04:00)America, Kentucky, Monticello
  • (GMT-04:00)America, Kralendijk
  • (GMT-04:00)America, La Paz
  • (GMT-04:00)America, Lower Princes
  • (GMT-04:00)America, Manaus
  • (GMT-04:00)America, Marigot
  • (GMT-04:00)America, Martinique
  • (GMT-04:00)America, Montserrat
  • (GMT-04:00)America, Nassau
  • (GMT-04:00)America, New York
  • (GMT-04:00)America, Nipigon
  • (GMT-04:00)America, Pangnirtung
  • (GMT-04:00)America, Port of Spain
  • (GMT-04:00)America, Port-au-Prince
  • (GMT-04:00)America, Porto Velho
  • (GMT-04:00)America, Puerto Rico
  • (GMT-04:00)America, Santo Domingo
  • (GMT-04:00)America, St Barthelemy
  • (GMT-04:00)America, St Kitts
  • (GMT-04:00)America, St Lucia
  • (GMT-04:00)America, St Thomas
  • (GMT-04:00)America, St Vincent
  • (GMT-04:00)America, Thunder Bay
  • (GMT-04:00)America, Toronto
  • (GMT-04:00)America, Tortola
  • (GMT-03:00)America, Araguaina
  • (GMT-03:00)America, Argentina, Buenos Aires
  • (GMT-03:00)America, Argentina, Catamarca
  • (GMT-03:00)America, Argentina, Cordoba
  • (GMT-03:00)America, Argentina, Jujuy
  • (GMT-03:00)America, Argentina, La Rioja
  • (GMT-03:00)America, Argentina, Mendoza
  • (GMT-03:00)America, Argentina, Rio Gallegos
  • (GMT-03:00)America, Argentina, Salta
  • (GMT-03:00)America, Argentina, San Juan
  • (GMT-03:00)America, Argentina, San Luis
  • (GMT-03:00)America, Argentina, Tucuman
  • (GMT-03:00)America, Argentina, Ushuaia
  • (GMT-03:00)America, Bahia
  • (GMT-03:00)America, Belem
  • (GMT-03:00)America, Cayenne
  • (GMT-03:00)America, Fortaleza
  • (GMT-03:00)America, Glace Bay
  • (GMT-03:00)America, Goose Bay
  • (GMT-03:00)America, Halifax
  • (GMT-03:00)America, Maceio
  • (GMT-03:00)America, Moncton
  • (GMT-03:00)America, Montevideo
  • (GMT-03:00)America, Paramaribo
  • (GMT-03:00)America, Punta Arenas
  • (GMT-03:00)America, Recife
  • (GMT-03:00)America, Santarem
  • (GMT-03:00)America, Santiago
  • (GMT-03:00)America, Sao Paulo
  • (GMT-03:00)America, Thule
  • (GMT-03:00)Antarctica, Palmer
  • (GMT-03:00)Antarctica, Rothera
  • (GMT-03:00)Atlantic, Bermuda
  • (GMT-03:00)Atlantic, Stanley
  • (GMT-02:30)America, St Johns
  • (GMT-02:00)America, Miquelon
  • (GMT-02:00)America, Noronha
  • (GMT-02:00)America, Nuuk
  • (GMT-02:00)Atlantic, South Georgia
  • (GMT-01:00)Atlantic, Cape Verde
  • (GMT+00:00)Africa, Abidjan
  • (GMT+00:00)Africa, Accra
  • (GMT+00:00)Africa, Bamako
  • (GMT+00:00)Africa, Banjul
  • (GMT+00:00)Africa, Bissau
  • (GMT+00:00)Africa, Conakry
  • (GMT+00:00)Africa, Dakar
  • (GMT+00:00)Africa, Lome
  • (GMT+00:00)Africa, Monrovia
  • (GMT+00:00)Africa, Nouakchott
  • (GMT+00:00)Africa, Ouagadougou
  • (GMT+00:00)Africa, Sao Tome
  • (GMT+00:00)America, Danmarkshavn
  • (GMT+00:00)America, Scoresbysund
  • (GMT+00:00)Atlantic, Azores
  • (GMT+00:00)Atlantic, Reykjavik
  • (GMT+00:00)Atlantic, St Helena
  • (GMT+00:00)UTC
  • (GMT+00:20)Africa, Freetown
  • (GMT+01:00)Africa, Algiers
  • (GMT+01:00)Africa, Bangui
  • (GMT+01:00)Africa, Brazzaville
  • (GMT+01:00)Africa, Casablanca
  • (GMT+01:00)Africa, Douala
  • (GMT+01:00)Africa, El Aaiun
  • (GMT+01:00)Africa, Kinshasa
  • (GMT+01:00)Africa, Lagos
  • (GMT+01:00)Africa, Libreville
  • (GMT+01:00)Africa, Luanda
  • (GMT+01:00)Africa, Malabo
  • (GMT+01:00)Africa, Ndjamena
  • (GMT+01:00)Africa, Niamey
  • (GMT+01:00)Africa, Porto-Novo
  • (GMT+01:00)Africa, Tunis
  • (GMT+01:00)Atlantic, Canary
  • (GMT+01:00)Atlantic, Faroe
  • (GMT+01:00)Atlantic, Madeira
  • (GMT+01:00)Europe, Dublin
  • (GMT+01:00)Europe, Guernsey
  • (GMT+01:00)Europe, Isle of Man
  • (GMT+01:00)Europe, Jersey
  • (GMT+01:00)Europe, Lisbon
  • (GMT+01:00)Europe, London
  • (GMT+02:00)Africa, Blantyre
  • (GMT+02:00)Africa, Bujumbura
  • (GMT+02:00)Africa, Cairo
  • (GMT+02:00)Africa, Ceuta
  • (GMT+02:00)Africa, Gaborone
  • (GMT+02:00)Africa, Harare
  • (GMT+02:00)Africa, Johannesburg
  • (GMT+02:00)Africa, Juba
  • (GMT+02:00)Africa, Khartoum
  • (GMT+02:00)Africa, Kigali
  • (GMT+02:00)Africa, Lubumbashi
  • (GMT+02:00)Africa, Lusaka
  • (GMT+02:00)Africa, Maputo
  • (GMT+02:00)Africa, Maseru
  • (GMT+02:00)Africa, Mbabane
  • (GMT+02:00)Africa, Tripoli
  • (GMT+02:00)Africa, Windhoek
  • (GMT+02:00)Antarctica, Troll
  • (GMT+02:00)Arctic, Longyearbyen
  • (GMT+02:00)Europe, Amsterdam
  • (GMT+02:00)Europe, Andorra
  • (GMT+02:00)Europe, Belgrade
  • (GMT+02:00)Europe, Berlin
  • (GMT+02:00)Europe, Bratislava
  • (GMT+02:00)Europe, Brussels
  • (GMT+02:00)Europe, Budapest
  • (GMT+02:00)Europe, Busingen
  • (GMT+02:00)Europe, Copenhagen
  • (GMT+02:00)Europe, Gibraltar
  • (GMT+02:00)Europe, Kaliningrad
  • (GMT+02:00)Europe, Ljubljana
  • (GMT+02:00)Europe, Luxembourg
  • (GMT+02:00)Europe, Madrid
  • (GMT+02:00)Europe, Malta
  • (GMT+02:00)Europe, Monaco
  • (GMT+02:00)Europe, Oslo
  • (GMT+02:00)Europe, Paris
  • (GMT+02:00)Europe, Podgorica
  • (GMT+02:00)Europe, Prague
  • (GMT+02:00)Europe, Rome
  • (GMT+02:00)Europe, San Marino
  • (GMT+02:00)Europe, Sarajevo
  • (GMT+02:00)Europe, Skopje
  • (GMT+02:00)Europe, Stockholm
  • (GMT+02:00)Europe, Tirane
  • (GMT+02:00)Europe, Vaduz
  • (GMT+02:00)Europe, Vatican
  • (GMT+02:00)Europe, Vienna
  • (GMT+02:00)Europe, Warsaw
  • (GMT+02:00)Europe, Zagreb
  • (GMT+02:00)Europe, Zurich
  • (GMT+03:00)Africa, Addis Ababa
  • (GMT+03:00)Africa, Asmara
  • (GMT+03:00)Africa, Dar es Salaam
  • (GMT+03:00)Africa, Djibouti
  • (GMT+03:00)Africa, Kampala
  • (GMT+03:00)Africa, Mogadishu
  • (GMT+03:00)Africa, Nairobi
  • (GMT+03:00)Antarctica, Syowa
  • (GMT+03:00)Asia, Aden
  • (GMT+03:00)Asia, Amman
  • (GMT+03:00)Asia, Baghdad
  • (GMT+03:00)Asia, Bahrain
  • (GMT+03:00)Asia, Beirut
  • (GMT+03:00)Asia, Damascus
  • (GMT+03:00)Asia, Famagusta
  • (GMT+03:00)Asia, Gaza
  • (GMT+03:00)Asia, Hebron
  • (GMT+03:00)Asia, Jerusalem
  • (GMT+03:00)Asia, Kuwait
  • (GMT+03:00)Asia, Nicosia
  • (GMT+03:00)Asia, Qatar
  • (GMT+03:00)Asia, Riyadh
  • (GMT+03:00)Europe, Athens
  • (GMT+03:00)Europe, Bucharest
  • (GMT+03:00)Europe, Chisinau
  • (GMT+03:00)Europe, Helsinki
  • (GMT+03:00)Europe, Istanbul
  • (GMT+03:00)Europe, Kirov
  • (GMT+03:00)Europe, Kyiv
  • (GMT+03:00)Europe, Mariehamn
  • (GMT+03:00)Europe, Minsk
  • (GMT+03:00)Europe, Moscow
  • (GMT+03:00)Europe, Riga
  • (GMT+03:00)Europe, Simferopol
  • (GMT+03:00)Europe, Sofia
  • (GMT+03:00)Europe, Tallinn
  • (GMT+03:00)Europe, Uzhgorod
  • (GMT+03:00)Europe, Vilnius
  • (GMT+03:00)Europe, Volgograd
  • (GMT+03:00)Europe, Zaporozhye
  • (GMT+03:00)Indian, Antananarivo
  • (GMT+03:00)Indian, Comoro
  • (GMT+03:00)Indian, Mayotte
  • (GMT+03:30)Asia, Tehran
  • (GMT+04:00)Asia, Baku
  • (GMT+04:00)Asia, Dubai
  • (GMT+04:00)Asia, Muscat
  • (GMT+04:00)Asia, Tbilisi
  • (GMT+04:00)Asia, Yerevan
  • (GMT+04:00)Europe, Astrakhan
  • (GMT+04:00)Europe, Samara
  • (GMT+04:00)Europe, Saratov
  • (GMT+04:00)Europe, Ulyanovsk
  • (GMT+04:00)Indian, Mahe
  • (GMT+04:00)Indian, Mauritius
  • (GMT+04:00)Indian, Reunion
  • (GMT+04:30)Asia, Kabul
  • (GMT+05:00)Antarctica, Mawson
  • (GMT+05:00)Asia, Aqtau
  • (GMT+05:00)Asia, Aqtobe
  • (GMT+05:00)Asia, Ashgabat
  • (GMT+05:00)Asia, Atyrau
  • (GMT+05:00)Asia, Dushanbe
  • (GMT+05:00)Asia, Karachi
  • (GMT+05:00)Asia, Oral
  • (GMT+05:00)Asia, Qyzylorda
  • (GMT+05:00)Asia, Samarkand
  • (GMT+05:00)Asia, Tashkent
  • (GMT+05:00)Asia, Yekaterinburg
  • (GMT+05:00)Indian, Kerguelen
  • (GMT+05:00)Indian, Maldives
  • (GMT+05:30)Asia, Colombo
  • (GMT+05:30)Asia, Kolkata
  • (GMT+05:45)Asia, Kathmandu
  • (GMT+06:00)Antarctica, Vostok
  • (GMT+06:00)Asia, Almaty
  • (GMT+06:00)Asia, Bishkek
  • (GMT+06:00)Asia, Dhaka
  • (GMT+06:00)Asia, Omsk
  • (GMT+06:00)Asia, Qostanay
  • (GMT+06:00)Asia, Thimphu
  • (GMT+06:00)Asia, Urumqi
  • (GMT+06:00)Indian, Chagos
  • (GMT+06:30)Asia, Yangon
  • (GMT+06:30)Indian, Cocos
  • (GMT+07:00)Antarctica, Davis
  • (GMT+07:00)Asia, Bangkok
  • (GMT+07:00)Asia, Barnaul
  • (GMT+07:00)Asia, Ho Chi Minh
  • (GMT+07:00)Asia, Hovd
  • (GMT+07:00)Asia, Jakarta
  • (GMT+07:00)Asia, Krasnoyarsk
  • (GMT+07:00)Asia, Novokuznetsk
  • (GMT+07:00)Asia, Novosibirsk
  • (GMT+07:00)Asia, Phnom Penh
  • (GMT+07:00)Asia, Pontianak
  • (GMT+07:00)Asia, Tomsk
  • (GMT+07:00)Asia, Vientiane
  • (GMT+07:00)Indian, Christmas
  • (GMT+08:00)Asia, Brunei
  • (GMT+08:00)Asia, Choibalsan
  • (GMT+08:00)Asia, Hong Kong
  • (GMT+08:00)Asia, Irkutsk
  • (GMT+08:00)Asia, Kuala Lumpur
  • (GMT+08:00)Asia, Kuching
  • (GMT+08:00)Asia, Macau
  • (GMT+08:00)Asia, Makassar
  • (GMT+08:00)Asia, Manila
  • (GMT+08:00)Asia, Shanghai
  • (GMT+08:00)Asia, Singapore
  • (GMT+08:00)Asia, Taipei
  • (GMT+08:00)Asia, Ulaanbaatar
  • (GMT+08:00)Australia, Perth
  • (GMT+08:45)Australia, Eucla
  • (GMT+09:00)Asia, Chita
  • (GMT+09:00)Asia, Dili
  • (GMT+09:00)Asia, Jayapura
  • (GMT+09:00)Asia, Khandyga
  • (GMT+09:00)Asia, Pyongyang
  • (GMT+09:00)Asia, Seoul
  • (GMT+09:00)Asia, Tokyo
  • (GMT+09:00)Asia, Yakutsk
  • (GMT+09:00)Pacific, Palau
  • (GMT+09:30)Australia, Adelaide
  • (GMT+09:30)Australia, Broken Hill
  • (GMT+09:30)Australia, Darwin
  • (GMT+10:00)Antarctica, DumontDUrville
  • (GMT+10:00)Antarctica, Macquarie
  • (GMT+10:00)Asia, Ust-Nera
  • (GMT+10:00)Asia, Vladivostok
  • (GMT+10:00)Australia, Brisbane
  • (GMT+10:00)Australia, Hobart
  • (GMT+10:00)Australia, Lindeman
  • (GMT+10:00)Australia, Melbourne
  • (GMT+10:00)Australia, Sydney
  • (GMT+10:00)Pacific, Chuuk
  • (GMT+10:00)Pacific, Guam
  • (GMT+10:00)Pacific, Port Moresby
  • (GMT+10:00)Pacific, Saipan
  • (GMT+10:30)Australia, Lord Howe
  • (GMT+11:00)Antarctica, Casey
  • (GMT+11:00)Asia, Magadan
  • (GMT+11:00)Asia, Sakhalin
  • (GMT+11:00)Asia, Srednekolymsk
  • (GMT+11:00)Pacific, Bougainville
  • (GMT+11:00)Pacific, Efate
  • (GMT+11:00)Pacific, Guadalcanal
  • (GMT+11:00)Pacific, Kosrae
  • (GMT+11:00)Pacific, Norfolk
  • (GMT+11:00)Pacific, Noumea
  • (GMT+11:00)Pacific, Pohnpei
  • (GMT+12:00)Asia, Anadyr
  • (GMT+12:00)Asia, Kamchatka
  • (GMT+12:00)Pacific, Fiji
  • (GMT+12:00)Pacific, Funafuti
  • (GMT+12:00)Pacific, Kwajalein
  • (GMT+12:00)Pacific, Majuro
  • (GMT+12:00)Pacific, Nauru
  • (GMT+12:00)Pacific, Tarawa
  • (GMT+12:00)Pacific, Wake
  • (GMT+12:00)Pacific, Wallis
  • (GMT+13:00)Antarctica, McMurdo
  • (GMT+13:00)Pacific, Apia
  • (GMT+13:00)Pacific, Auckland
  • (GMT+13:00)Pacific, Fakaofo
  • (GMT+13:00)Pacific, Kanton
  • (GMT+13:00)Pacific, Tongatapu
  • (GMT+13:45)Pacific, Chatham
  • (GMT+14:00)Pacific, Kiritimati

Suggestions

Your search did not return any results.

    R in Retail & E-Commerce:
    ML Ops - Machine Learning as an Engineering Discipline
    Presentation by Suteja Kanuri

    Abstract:
    “Only 22 percent of companies using machine learning have successfully deployed a model."

    What makes it so hard? And what do we need to do to improve the situation?

    ML Ops is a set of practices that combines Machine Learning, DevOps, and Data Engineering - while deploying and maintaining ML systems in production reliably and efficiently. There are various maturity levels of ML Ops based on the industry and it's important to have an awareness of an ML Ops toolkit for Machine Learning teams to succeed.

    Speaker Bio:
    Suteja is based out of Singapore and started her career in the data industry. She has been an Engineering Manager for the last 3 years across two industries- Banking and E-commerce. She has immense experience working with Machine Learning Teams and is well versed with ML Ops practices across multiple industries. She has nurtured and managed a 15 member team of ML Ops which comprised of Machine Learning Engineers and data engineers.

    Add to Calendar 2021/11/30 18:00:00 2021/11/30 19:00:00 America/New_York R in Retail & E-Commerce: ML Ops - Machine Learning as an Engineering Discipline R in Retail & E-Commerce:
    ML Ops - Machine Learning as an Engineering Discipline
    Presentation by Suteja Kanuri

    Abstract:
    “Only 22 percent of companies using machine learning have successfully deployed a model."

    What makes it so hard? And what do we need to do to improve the situation?

    ML Ops is a set of practices that combines Machine Learning, DevOps, and Data Engineering - while deploying and maintaining ML systems in production reliably and efficiently. There are various maturity levels of ML Ops based on the industry and it's important to have an awareness of an ML Ops toolkit for Machine Learning teams to succeed.

    Speaker Bio:
    Suteja is based out of Singapore and started her career in the data industry. She has been an Engineering Manager for the last 3 years across two industries- Banking and E-commerce. She has immense experience working with Machine Learning Teams and is well versed with ML Ops practices across multiple industries. She has nurtured and managed a 15 member team of ML Ops which comprised of Machine Learning Engineers and data engineers.
    https://rstudio.zoom.us/j/96629317192?pwd=MldQMjNXb2lJMmxVRHorbXdwTTJCUT09 false MM/DD/YYYY 30 OPAQUE aKHNCcebtzjkzVhQGmnG134315
    location_on

    https://rstudio.zoom.us/j/96629317192?pwd=MldQMjNXb2lJMmxVRHorbXdwTTJCUT09

    person

    Rachael Dempsey, rachael@rstudio.com