A look under the AI hood - Keynote
A look under the AI hood - Keynote
A look under the AI hood - Keynote

A look under the AI hood - Keynote

Look into the latest trends in AI based on Raffle's utilization of the latest developments in machine learning for natural text analysis.
Video
Reading time:
By
Raffle
TABLE OF CONTENTS

Discover Raffle Search

An AI search engine that simplifies data management, analysis, and insights for smarter business decisions and market strategies.
Discover Now

Keynote by Ole Winther, CTO & Co-Founder at Raffle, Professor at DTU & University of Copenhagen

Artificial intelligence is moving fast; conventional AI has been the primary approach to artificial intelligence for the last few decades, with significant success by many companies in many industries. But conventional AI still needs to deliver value to complex, valuable industrial assets, primarily under less-than-ideal conditions.

Gain insight into the latest trends in artificial intelligence based on how Raffle, as an AI company, uses the latest developments in machine learning for natural text analysis. In addition, Ole also talks about the strategies for using language models such as Google's BERT and collecting user feedback for training models.

Recorded on August 19th, 2021. (in Danish)

A look under the AI hood - Keynote

A look under the AI hood - Keynote

Look into the latest trends in AI based on Raffle's utilization of the latest developments in machine learning for natural text analysis.

Keynote by Ole Winther, CTO & Co-Founder at Raffle, Professor at DTU & University of Copenhagen

Artificial intelligence is moving fast; conventional AI has been the primary approach to artificial intelligence for the last few decades, with significant success by many companies in many industries. But conventional AI still needs to deliver value to complex, valuable industrial assets, primarily under less-than-ideal conditions.

Gain insight into the latest trends in artificial intelligence based on how Raffle, as an AI company, uses the latest developments in machine learning for natural text analysis. In addition, Ole also talks about the strategies for using language models such as Google's BERT and collecting user feedback for training models.

Recorded on August 19th, 2021. (in Danish)