Today's guest is RJ Assaly, Chief Product Officer at Reflexivity. Founded in 2019, Reflexivity is an AI-powered market intelligence platform for institutional investors, asset managers and hedge funds. Combining financial data with proprietary AI technology, it helps investment professionals conduct research, uncover relationships across global markets, identify market signals and test...
In BARC research presented at the BARC Data & Analytics Retreat 2026, 70% of the 225 data and AI leaders surveyed said less than half of their unstructured data is discoverable or usable for AI. Our report What Mid-Market Teams Get Wrong About AI translates this research for mid-market teams and we read this figure […]
In just a few years, generative AI has changed the face of enterprise analytics, notably by making analytics accessible to users across the organization. Agentic AI promises to do even more, by automating entire workflows and taking actions based on agent insights. But there is a problem: The quality of insights that agents currently generate…
When a developer gives an AI agent a coding task, the agent does more than answer once. It plans, generates code, runs tests, and repeats the process to correct errors. A single task can use 10 to 50 times more tokens than a basic chat prompt. The more useful the agent becomes, the more calls…
In 2001, a decade after he invented the World Wide Web, Tim Berners-Lee articulated a new vision. Together with two colleagues, he published an article in the magazine Scientific American in which he outlined what he called the “Semantic Web”: an internet designed to be navigated by autonomous software agents that could address our every…
I started writing this blog when Kimi K3 was still Moonshot’s flagship. Then, on 24th October 2026, Kimi K3.1 Pro dropped, right in the middle of my writing, hehe. The good news: K3.1 Pro is built on the same K3 base model with much more post-training on top, so everything we study here still applies. […]
The post Kimi K3 Architecture Explained: How a 2.8T Model Runs Efficiently...
Why do Transformer models like BERT use GELU instead of the traditional ReLU activation function? The answer lies in how these functions process information. While ReLU completely removes negative inputs, GELU uses a smooth, input-dependent mechanism to decide how much information should pass through. This small mathematical difference can influence how neural networks learn complex […]...
The Business Intelligence & Analytics (BIA) market is being reorganized. Cost pressure is making companies more careful about what they invest in. New data platforms also often bring their own capabilities for data modeling, semantics and analytics. That puts the role of the BIA platform up for debate.
“Governance” has become a fixture in enterprise AI announcements. Identity, security, orchestration, infrastructure, and data platform vendors offer products for agent safety, governance, and control, bringing welcome attention to a problem enterprises need to solve. As the claims grow broader, CIOs and risk leaders need to get more precise about what they are buying. Look...
The post...
When an AI agent fails to complete a task, upgrading the model can seem like the obvious next step. Yet an agent’s performance also depends on how it receives instructions, uses tools, and manages its work. Understanding those factors can reveal opportunities to improve reliability with the model already in place. Google Research’s Harness² examines […]
The post Harness²: Improving AI...