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محتوای ارائه شده توسط Alan Pelz-Sharpe. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pelz-Sharpe یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
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We Love Ugly Data! - The Deep Analysis Podcast - Episode 10 - December 2023

31:43
 
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Manage episode 389029100 series 3047837
محتوای ارائه شده توسط Alan Pelz-Sharpe. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pelz-Sharpe یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

The tenth episode of the podcast we now know you love as "We Love Ugly Data!" is out!
As always, it’s three topics in 30 minutes, but this time, it’s a 2024 Predictions Special – a selection from the full-length Market Trends research paper you can now download – where Matt is joined by Alan and Dan. Show notes are, as usual, included below the embedded video.
In this episode,
Prediction 1: “Generative AI will face its first cold winter”
Matt’s up first, and here is discussed the prediction that right now, Generative AI is facing up to its first cold winter, where customers try to make sense of how this much-hyped technology actually fits into how they actually work. It’s not a litany of negativity by any means; there are some real, tangible ways it’s being used right now (hint: it’s citizen developers again!).
Prediction 2: “For the first time in human history, machines will read and process more documents than knowledge workers.
Dan’s pitch was that we’re at the tipping point where machine reading of documents will overtake that read by human beings, in large part as the current wave of IDP hits organizations.
Prediction 3: “Knowledge Graphs and Data Meshes gain traction”
Last up is Alan, and he’s picked out the prediction that Knowledge Graphs and Data Meshes (and Data Fabrics, for that matter) will accelerate in terms of their adoption in organizations as they attempt to coalesce their internal information, not least as it’s one of the significant predicates for the use of AI.

Support the show

  continue reading

56 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 389029100 series 3047837
محتوای ارائه شده توسط Alan Pelz-Sharpe. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Alan Pelz-Sharpe یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal

The tenth episode of the podcast we now know you love as "We Love Ugly Data!" is out!
As always, it’s three topics in 30 minutes, but this time, it’s a 2024 Predictions Special – a selection from the full-length Market Trends research paper you can now download – where Matt is joined by Alan and Dan. Show notes are, as usual, included below the embedded video.
In this episode,
Prediction 1: “Generative AI will face its first cold winter”
Matt’s up first, and here is discussed the prediction that right now, Generative AI is facing up to its first cold winter, where customers try to make sense of how this much-hyped technology actually fits into how they actually work. It’s not a litany of negativity by any means; there are some real, tangible ways it’s being used right now (hint: it’s citizen developers again!).
Prediction 2: “For the first time in human history, machines will read and process more documents than knowledge workers.
Dan’s pitch was that we’re at the tipping point where machine reading of documents will overtake that read by human beings, in large part as the current wave of IDP hits organizations.
Prediction 3: “Knowledge Graphs and Data Meshes gain traction”
Last up is Alan, and he’s picked out the prediction that Knowledge Graphs and Data Meshes (and Data Fabrics, for that matter) will accelerate in terms of their adoption in organizations as they attempt to coalesce their internal information, not least as it’s one of the significant predicates for the use of AI.

Support the show

  continue reading

56 قسمت

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