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AI Hype cycle

AI and the Hype Cycle: Are We Approaching the Trough of Disillusionment?

Posted by By Keyur Thakore October 26, 2026Posted inArtificial Intelligence, Blogs, Insights
Questions are being raised about the AI payoff outside the S&P 7. Are enterprises investing in technology before redesigning workflows, preparing their data, establishing meaningful ROI metrics, and equally importantly training their workforce for AI adoption?
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Neurosymbolic AI

Neurosymbolic AI: When AI Learns to Think and Follow the Rules

Posted by By Keyur Thakore October 12, 2026Posted inArtificial Intelligence, Blogs, Insights
Neurosymbolic AI combines the power of deep learning neural networks with the logical, rule-based reasoning of symbolic AI.
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Neuralese Recurrence

Neuralese Recurrence: When AI Stops Thinking in Words

Posted by By Keyur Thakore October 5, 2026Posted inArtificial Intelligence, Blogs, Insights
What Is Neuralese? The term Neuralese predates today's LLM discussion. In AI research, it originally described learned communication between artificial agents: instead of exchanging English (or other language) words or…
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Building Trusted AI Agents: Trust, but Architect for Distrust

Building Trusted AI Agents: Trust, but Architect for Distrust

Posted by By Keyur Thakore September 24, 2026Posted inArtificial Intelligence, Blogs, Insights
Trust Has Always Been the Foundation Trust quietly underpins much of human activity. We trust people to honor commitments, banks to safeguard money, automobiles to respond when we press the…
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Do LLMs Have a Vocabulary for Pain?

Do LLMs Have a Vocabulary for Pain?

Posted by By Keyur Thakore September 22, 2026Posted inArtificial Intelligence, Blogs, Insights
A fascinating new preprint, “The Pain Axis: LLMs Represent Self-Directed Harm and Act to Relieve It,” explores whether large language models internally represent something distinguishable as pain. The researchers found…
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Enterprise Context

Enterprise Context: Your Competitive Advantage Isn’t the Model

Posted by By Keyur Thakore September 14, 2026Posted inArtificial Intelligence, Blogs, Featured, Insights
As enterprise AI adoption accelerates, organizations are gaining access to many of the same increasingly capable models. A frontier model available to one enterprise is often available to its competitors.…
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Context Engineering

Context Engineering: Turning Enterprise Knowledge into AI Intelligence

Posted by By Keyur Thakore September 7, 2026Posted inArtificial Intelligence, Blogs, Featured, Insights
In the previous post, we introduced the Context Workspace as a living body of enterprise knowledge, relationships, policies, experiences, and objectives, a shared environment that humans and AI Agents can…
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Hybrid AI

The AI Cloud Math May Be Changing. Enterprise AI Architecture Should Change With It.

Posted by By Keyur Thakore September 4, 2026Posted inArtificial Intelligence, Blogs, Cloud computing, Insights
A recent MarketWatch article, “The AI cloud math is broken, and it’s creating a power shift within Big Tech”, is worth reading for anyone thinking about the economics of enterprise…
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Context Workspace

The Context Workspace: Where Enterprise Intelligence Lives

Posted by By Keyur Thakore August 31, 2026Posted inArtificial Intelligence, Blogs, Featured, Insights
Most enterprises do not have a shortage of knowledge. In fact, they are inundated with new information every day. Yet modern organizations often find themselves trapped in a cycle of…
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Context Workspace

Context Is All You Need: The Next Frontier of Enterprise AI

Posted by By Keyur Thakore August 25, 2026Posted inArtificial Intelligence, Blogs, Featured, Insights
For the past several years, the AI conversation has largely centered on the models, bigger models, more parameters, stronger reasoning and better performance. But as organizations move from experimenting with…
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