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Unlocking the Cognitive Doorway to Organisational Memory

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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"

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When Machines Meet Conversations!

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Harpal Parmar

Published 08 February 2022

To say that human conversations are complex is an understatement.  Our communication prowess depends on where we learnt a language, our teachers, our educational level, and other factors.  More complexity arises when conversations involves persuasion, negotiation, and other threads involving a back and forth exchange – that must be tracked. Thankfully, common knowledge possessed by … Continue reading "When Machines Meet Conversations!"

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Is Cognitive Access to Complex Industry Information Really Here?

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Harpal Parmar

Published 09 June 2021

What if you could conversationally locate complex information during your work tasks? Say you’re an engineer looking up design parameters from within tables and text. Or an insurance sales person wanting to locate a property insurance plan that conforms to several criteria.

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This AI Can Explain Itself. Really!

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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!"

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Understanding: NLU’s secret sauce!

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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.

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Machines that Understand have arrived. But there’s a catch.

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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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