Driving value from GenAI: A McKinsey and ING perspective

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ความคิดเห็น • 14

  • @sitrakaforler8696
    @sitrakaforler8696 5 หลายเดือนก่อน +7

    00:08 Generative AI is a real Revolution with significant economic value.
    02:16 Value shift towards GenAI in digital transformation
    06:18 Meaningful economic Improvement is seen in customer engagement, product R&D, and software engineering.
    08:09 Using AI to enhance customer relationships
    11:55 Embracing generative AI in a regulated industry.
    13:45 Improving customer service and marketing with GenAI
    17:25 Piloting and monitoring of generative AI
    19:11 Exploration leads to proposal generation
    22:32 Improving customer data accuracy and risk assessment
    24:07 Importance of controlling model training pace and content
    27:30 Employees don't see AI as a threat but more as a risk to their jobs.
    29:10 Agile approach and collaboration crucial for leveraging Genera AI
    32:30 GenAI journeys and business provisioning.

  • @anand3165
    @anand3165 5 หลายเดือนก่อน +4

    Excellent session. Any chance to get a copy of the Mckinsey slides ?

  • @miraculixxs
    @miraculixxs 5 หลายเดือนก่อน +6

    The performance impacts are hardly due to actual GenAI tech, but more likely due to the related PR campaigns which were targetes to GenZ. Not convinced.

  • @AnthatiKhasim-i1e
    @AnthatiKhasim-i1e 4 หลายเดือนก่อน

    "Security and compliance auditing is critical for enterprises. SmythOS includes features for thorough auditing and monitoring, helping you maintain compliance and protect against vulnerabilities."

  • @sikandar-ali1
    @sikandar-ali1 4 หลายเดือนก่อน

    This was a really good presentation. Thanks for sharing

  • @ebateru
    @ebateru 5 หลายเดือนก่อน +1

    McKinsey dude: "so what will be the impact of Gen AI on the workforce in ING?"
    ING CEO:"ehmm...I think it's too early to say that now..."
    I guess we all know what that means 😂. Basic universal income baby!

  • @SuperCatbert
    @SuperCatbert 5 หลายเดือนก่อน

    the interview was pretty good.

  • @mbayediaw1638
    @mbayediaw1638 5 หลายเดือนก่อน +1

    note how they don't talk about the impact of GenAI on software engineering :) . I understand that would be probably an awkward at google !

  • @ibrahemelgndy8613
    @ibrahemelgndy8613 2 หลายเดือนก่อน

    👍👍

  • @sujith123
    @sujith123 5 หลายเดือนก่อน

    We see in living being or human persective, in high level to very micro scopic view we were able to identify, match the difference of 3 D way growing of mass of any place of human body(skin, muscle, organs, liquid(blood) fine micro scopic view), the match difference in scientific way was always a able identify (surely existing) mass or cells or bio molecules.
    From high view human male or female was of just able to see, humans were of any age from 1 - 100. everyone have thier day to day work and busy. when they feel any difference from usual they plan to visit hospital or doctor.
    Patient: he/she only knows what they were feeling UNUSUAL(they were not possible to normal pain, irritation etc.,). makes to remember doctor or hospital.
    Doctor: he/she was of human above mentioned and able to understand new or already existing human body causing or caused or resisiting in real or physical form.
    Patient: he/she just reach doctor just with symptoms, dont know about anything of physical or real unseeing or unable to understand damage.
    Patient: if a real or physical unable or unseeing damage able to identify some how or talking with people or any doctor(the human body real or physical damage) and causing or caused issue or problem. then there is chance of letting know to doctor for probe directly (not accurate but very complex nature of human) or quering ourself on from past 100 years identified(briefly discribed real or physical human body damage) - real or physical human body damage: it was of in high level view any part of whole human body decesion by patient collected info of individual damage in complex health of humans indentified following system.
    Doctor: If any patient reaches the doctor, aware of just human(male/female) with out speaking he/she dont know what actually a patient want to say. if spoke with patient the unusual facing (were of very confusing) but as we as humans know the unusuals able to understand and go in a probe. but do not know the world following and tracking and making possible of availablity of data to all continents and nations. once they identify able to view in mind or to explain to patient (real or physical damage) happend and the human body(complex nature) was a clearing mind(for anyone) to follow keen towards doctor for process or procedure of medication.
    Remark: just by symptoms patient cant identify real or physical damage prone to, by speaking to people or doctor got to know about the disease(real or physical damage).
    Remark: reaching a doctor after speaking got to know about the patient (disease - real or physical damage). once a clean study or speaking makes the decesion to take on patoent medication.

  • @thannon72
    @thannon72 5 หลายเดือนก่อน

    Building apps off third party AI endpoints is not 'AI'.

  • @user-wr4yl7tx3w
    @user-wr4yl7tx3w 4 หลายเดือนก่อน

    Just like Steve Jobs said. McKinsey is all MBA BS. He just wasted everyone of 30 minutes.

    • @dert4291
      @dert4291 3 หลายเดือนก่อน

      it'a actually not bad. I work as an AI PM