What is MLOps?

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  • Опубліковано 25 тра 2023
  • Check out watsonx: ibm.biz/BdvDnH
    It takes a lot of time, effort, and money to train a machine learning model. And yet a majority of models that are trained and developed never actually make it to production. What can be done to lower the cost and frustration of ML model development? Automation! Otherwise known as MLOps, it's modeled after the same practices as devOps that have led to faster code development at lower cost. In this video, David Adeyemi explains what got us here and where to go next.
    #mlops #ai #watsonx #devops #machinelearning

КОМЕНТАРІ • 41

  • @IyanuoluwaId
    @IyanuoluwaId Рік тому +24

    Is his surname a typo?

    • @IBMTechnology
      @IBMTechnology  Рік тому +21

      YES, thanks for spotting that! David's actual surname is "Adeyemi", we missed that first 'e'. Many apologies to David!

    • @user-sj6eu8sp9v
      @user-sj6eu8sp9v Рік тому +68

      ​@@IBMTechnology come on​! He deserves another month of GPU server :)

    • @gasparmounkam-ox7ur
      @gasparmounkam-ox7ur Рік тому +1

      Sanda boro

  • @MrKane101111
    @MrKane101111 14 годин тому

    This was great. We are going to be building an Data Platform aimed at ML workflows, so this explanation really helps me thing of the downstream elements we need after the basic data infrastructure.

  • @afshin3k3
    @afshin3k3 7 місяців тому +6

    Thanks a lot! His explanations were very clear and concise!

  • @Gamma_Pan
    @Gamma_Pan Рік тому +5

    IBM Technology is starting to become my favourite channel.

  • @NK-iw6rq
    @NK-iw6rq Рік тому +14

    This brilliant young man did a great job with his explanation !

  • @neoblackcyptron
    @neoblackcyptron 9 місяців тому +1

    Excellent explanation.

  • @CHY873
    @CHY873 Рік тому

    Can you pleaseee make a video on as400 or iseries servers especially power 7 ? Would like to know more about that hardware. Also how the disks are connected to it, as well as tape library etc. and other related hardware components that make up iseries servers.

  • @RajivMukul
    @RajivMukul 2 місяці тому

    Thanks for the tutorial.Can you please tell me in which scenarios python scripting is used in MLOps workflow apart from building a model .Also in which cases we use bash.Basically want
    to know how much scripting is needed in MLOps apart from building a model.

  • @rodolfosilva1797
    @rodolfosilva1797 Рік тому

    Nice explanation.

  • @jorgeguberte
    @jorgeguberte 10 місяців тому

    Ok, who's circling on the board? I know the board but i never saw it automatically circling anything

  • @theomahalepa4187
    @theomahalepa4187 11 місяців тому

    excellent work. great presentation

  • @harshshah9006
    @harshshah9006 6 місяців тому

    Thanks ❤

  • @sitrakaforler8696
    @sitrakaforler8696 Рік тому

    Nice !

  • @mmkvhornet7522
    @mmkvhornet7522 3 місяці тому

    very explanative video , thank you

  • @khaledsrrr
    @khaledsrrr 10 місяців тому

    Keep them coming 😍😍

  • @DiogoBaeder
    @DiogoBaeder 24 дні тому

    Awesome video, guys, and kudos for David for the geeky charisma! I'm starting to learn MLOps and will definitely look at more of his MLOps material here :-)

  • @williamrodriguez5426
    @williamrodriguez5426 Рік тому +30

    Lol, 'liked' just so he could get another month on the GPU server 😂

  • @covelus
    @covelus 8 місяців тому

    Very nice summary...
    But, what's your t-shirt about? Is the bee anything related to Georgia Tech?

    • @IBMTechnology
      @IBMTechnology  8 місяців тому +2

      The t-shirt spells out IBM (Eye, Bee, M)

  • @agx1397
    @agx1397 Рік тому +4

    Nicely explained, but can someone give me a better distinction between DevOps and MLOps

    • @introspectiveengineer392
      @introspectiveengineer392 Рік тому +3

      Devops: Process for deploying software to production
      MLOps: Process for deploying ML Models (sometimes alongside software) to production

    • @waynelast1685
      @waynelast1685 9 місяців тому +3

      @@introspectiveengineer392that’s a start but what if they are both used? ML models in software?

  • @tyrojames9937
    @tyrojames9937 Рік тому +1

    MLOps, COOL😎

  • @rafaeel731
    @rafaeel731 8 місяців тому +1

    Kudos to this brilliant guy, amazing explanation and comparison. We want more!

  • @aron2922
    @aron2922 Рік тому +3

    How on earth does a company like IBM not have source control and 'loses notebooks' when a server is shut down. Kind of a self report.

    • @hassanshahzad653
      @hassanshahzad653 5 місяців тому

      hmmm, interesting its about the team not the IBM

  • @sitrakaforler8696
    @sitrakaforler8696 Рік тому +4

    Give that GPU to those poor kids hahaha
    Great vidéo tho !

  • @jasonscala5834
    @jasonscala5834 2 місяці тому

    Money crunch is a real thing!

  • @waynelast1685
    @waynelast1685 9 місяців тому +1

    Would like a simplified explanation for less experienced or brand new people.

  • @Anas-gu2qg
    @Anas-gu2qg 7 місяців тому +12

    So, let me recap: First they made you lose 1 month of your team's work. Then, they made you do this video to chase likes, in the hopes of putting you in the same situation that led to losing your progress with no results. I recommend you change departments! 🙂

  • @mugomuiruri2313
    @mugomuiruri2313 11 днів тому

    good.mugo from africa

  • @kingki1953
    @kingki1953 8 місяців тому +1

    So ML ops is only good if you wanna do different model comparasion and have big deployment.

  • @VidarrKerr
    @VidarrKerr 9 місяців тому +1

    I wish "MLops" didn't sound so stupid. I guess it could be worse if it were "M Lops".

  • @user-og9qs1up7s
    @user-og9qs1up7s 11 місяців тому

    most of them are left-handed.

    • @IBMTechnology
      @IBMTechnology  11 місяців тому +1

      See ibm.biz/write-backwards

    • @Zeegoner
      @Zeegoner 8 місяців тому

      @@IBMTechnologyshut your mouth, IBM