Cloud Pak for Data Group

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🎟 Biggest challenges with AI adoption

  • 1.  🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:20 PM
    We believe Cloud Pak for Data will enable anyone who wants to do data analysis to do so, freeing trained analysts and data scientists to focus on the most complicated business problems. But working with data and AI comes with some serious challenges.
    🎟 For 1 ticket, let us know what you see as the biggest challenge to adopting AI: 
    • πŸ“Š Data
    • πŸ’Ό Talent
    • 🀝 Trust
    • πŸ€” Other


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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 2.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:21 PM
    Trust

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    Rohit Goyal
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  • 3.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:34 PM

    Can you elaborate Rohit? Is it trust in the output being accurate enough to be used directly in decisioning making or used to automate a task.

    Do you have any ideas of how to overcome this hurdle? 



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    Marc-James Abi-Jaoude
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  • 4.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:27 PM
    Probably a mix of Trust and Data.
    The AI model need to be re-trained to know when and why it is the delicate job. You cannot just leave it there and you need to be proactive if you do not want surprises.

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    Chiara Baldan
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  • 5.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:36 PM
    Thanks for your thoughtful response! That makes a lot of sense and is really helpful.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 6.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:28 PM
    one of the biggest challenges is getting access to the "right and accurate" data and providing the appropriate functionality to help with auto curation.  Seems to be a consistent theme with many of our clients  in fact data marketplaces are becoming a very hot ticket item

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    Beth Ackerman
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  • 7.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:37 PM
    Thanks for your thoughtful response! I can definitely see where that would be challenging.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 8.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:32 PM
    Trust - Client's don't trust algorithms that can't explain why it reached a conclusion.
    Other - Client's fear it will take away their work and they will lose their jobs. Sensitive area during the pandemic.

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    Vincent Tran
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  • 9.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:38 PM
    Thanks, Vincent! The pandemic definitely exacerbates fear for sure.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 10.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:36 PM
    Ha, ha, I'd say the biggest challenge is to have trust in the talent of the analyst based on the low quality of the other input data.

    Well the biggest challenge seems to be to get unbiased data.

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    Roland Schock
    Distinguished Engineer
    ARS Computer und Consulting GmbH
    Muenchen
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  • 11.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:38 PM
    Kudos to you for making a sentence out of all that! That makes a lot of sense.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 12.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:38 PM
    Data + Trust. Specifically data lineage and understanding where the data is sourced from.

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    Shawn Lunny
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  • 13.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:40 PM
    Yes! Can definitely see that.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 14.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:51 PM
    Customers need more sophisticated tools that can be easily navigated to explain the outcome of AI models. If models can be explained in a convincing way, customers tend to more go along with the predictions. Current tools do not enable lower levels drilling into reasons behind the outcomes, in particular for end users audience

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    Hisham Ghanem
    Architect
    IBM
    Vienna VA
    571-4216350
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  • 15.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 02:57 PM
    Yes! It's such a balance between not overwhelming the users with technical details, but also being transparent. Any ideas on how to meet those needs would be appreciated!

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 16.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 03:16 PM
    We need to close the gaps between AI technical details that can be interpreted by a data scientist (off course with some effort), and the business analyst / data steward that reviews and approves the model behavior to the customer's business needs. Complex Technical Model --> Clear Business Insights. Enhancing the tools will help data scientist make this leap.

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    Hisham Ghanem
    Architect
    IBM
    Vienna VA
    571-4216350
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  • 17.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 03:27 PM
    I'm curious to know what you think about the Watson Explainable AI tool! Do you think it helps address some of those issues?

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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  • 18.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 03:03 PM
    For me it's the talent and the data; most "business" users on the customer side don't possess enough skills to do the data analysis on their own without our support; they often don't understand the methodology and cannot interpret the results of a ML model; they also often misinterpret the results or are focusing on edge cases; I think the most crucial part is having good training data and also good test data to correctly analyse how well a model performs; Most customers find it rather difficult to decide what counts as good training data and which data will only confuse the system or it teach it incorrect things; also the necessity to add negative examples to your training data is mainly overlooked by customers

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    Dorothee Reinhard
    Data & AI Scientist
    IBM Switzerland
    ZΓΌrich
    0041 79 565 74 56
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  • 19.  RE: 🎟 Biggest challenges with AI adoption

    Posted Thu May 06, 2021 03:29 PM
    Yes! Your analysis is only as good as your data.

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    Rachel Miles Sijacic
    Sign up for the User Experience Program: ibm.biz/userexperience
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