Author
- Harpal Parmar
- Manmohan Singh
- Shashi Kiran
- superadmin
Machines that Understand have arrived. But there’s a catch.
Manmohan Singh Published 21 April 2022
Businesses face the constant challenge of leveraging organisational (institutional) memory created over time by teams and individuals – often captured in documents such as contracts, manuals, transcripts, emails, notes, and more. Easy and intuitive access to this organisational memory (accumulated body of data, information, and knowledge) can unlock significant business value – for example by … Continue reading "Unlocking the Cognitive Doorway to Organisational Memory"
Read full article >Machines that Understand have arrived. But there’s a catch.
Harpal Parmar Published 14 January 2021
The success of Deep Learning AI systems has leveraged neural networks to solve difficult problems such as self-driving cars, spotting fraudulent banking transactions, language translation, and more. These AI systems are remarkably good at analyzing huge amounts of data, spotting patterns and learning from them. They use a system of data layers, including hidden ones, to compute … Continue reading "This AI Can Explain Itself. Really!"
Read full article >Machines that Understand have arrived. But there’s a catch.
Harpal Parmar Published 20 October 2020
Understanding the meaning and context in natural language and unstructured information can unlock significant business value. When systems can understand the what, when, who, and why of textual information - that's when valuable structured information is created. Hence insights within earnings calls, contact center conversations, technical reports can be fully leveraged.
Read full article >Machines that Understand have arrived. But there’s a catch.
Harpal Parmar Published 20 July 2020
Current AI approaches such as Machine Learning and its sub field Deep Learning are delivering rapid progress in computer vision, language translation and more. But there’s a stumbling block in the nature of understanding meaning and context within natural language-based information. AUI’s Understanding system overcomes this hurdle using a knowledge-based approach.
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