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محتوای ارائه شده توسط Connected Data World. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Connected Data World 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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Knowledge Graphs in the Enterprise: What You Need to Know | Panel Discussion

1:52:32
 
اشتراک گذاری
 

Manage episode 357164490 series 2773575
محتوای ارائه شده توسط Connected Data World. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Connected Data World 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

Most Major Companies are Exploring or Using Knowledge Graphs.

Knowledge Graphs are at the top of the Garter AI Hype Cycle.

But Knowledge Graphs are much more than hype!

Knowledge graphs are a mature technology used in large scale deployments.

Anyone heard of Google, Facebook, Alibaba, or Uber?

Knowledge graphs address major weaknesses in traditional relational technology.

These weaknesses are major drivers for silos, the bane of every enterprise.

Knowledge Graphs are being deployed in a large variety of industries, including financial services, information technology, health care & life sciences, manufacturing and media.

Common use cases include data harmonization, search, recommendation, question answering, entity resolution, provenance, & security.

Join Ashleigh Faith, Katariina Kari, Michael Uschold and Mike Atkin from our Connected Data World 2021 panel discussion as they address the following:

Key Topics

  • What are Knowledge Graphs good for?
  • Supporting technologies
  • How can I get started?
  • What roadblocks should I watch out for?

Target Audience

  • Chief Data Officers
  • Data Scientists
  • Data Modelers
  • Technical Managers

Goals

  • Understand where and how knowledge graphs can add value to your enterprise
  • Know what supporting technologies are required for a typical knowledge graph deployment
  • Know how to get started on a knowledge graph application in your enterprise.
  • Understand what the current state of the art is and what is on the horizon.
  • Be aware of possible roadblocks to avoid.

---

Connected Data London 2024 has been announced!.

December 11-13, etc Venues St. Paul’s, City of London

Check #CDL24 for more Presentations, Keynotes, Masterclasses, and Workshops on cutting-edge topics from industry leaders and innovators: https://connected-data.london

  continue reading

38 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 357164490 series 2773575
محتوای ارائه شده توسط Connected Data World. تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Connected Data World 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

Most Major Companies are Exploring or Using Knowledge Graphs.

Knowledge Graphs are at the top of the Garter AI Hype Cycle.

But Knowledge Graphs are much more than hype!

Knowledge graphs are a mature technology used in large scale deployments.

Anyone heard of Google, Facebook, Alibaba, or Uber?

Knowledge graphs address major weaknesses in traditional relational technology.

These weaknesses are major drivers for silos, the bane of every enterprise.

Knowledge Graphs are being deployed in a large variety of industries, including financial services, information technology, health care & life sciences, manufacturing and media.

Common use cases include data harmonization, search, recommendation, question answering, entity resolution, provenance, & security.

Join Ashleigh Faith, Katariina Kari, Michael Uschold and Mike Atkin from our Connected Data World 2021 panel discussion as they address the following:

Key Topics

  • What are Knowledge Graphs good for?
  • Supporting technologies
  • How can I get started?
  • What roadblocks should I watch out for?

Target Audience

  • Chief Data Officers
  • Data Scientists
  • Data Modelers
  • Technical Managers

Goals

  • Understand where and how knowledge graphs can add value to your enterprise
  • Know what supporting technologies are required for a typical knowledge graph deployment
  • Know how to get started on a knowledge graph application in your enterprise.
  • Understand what the current state of the art is and what is on the horizon.
  • Be aware of possible roadblocks to avoid.

---

Connected Data London 2024 has been announced!.

December 11-13, etc Venues St. Paul’s, City of London

Check #CDL24 for more Presentations, Keynotes, Masterclasses, and Workshops on cutting-edge topics from industry leaders and innovators: https://connected-data.london

  continue reading

38 قسمت

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