Perspectives on financial intelligence.
Perspectives on financial understanding, AI and analytics — alongside our archive of earlier issues.
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Past issues
- November 2, 2026
Signals — week of November 2, 2026
This week’s signal is less about another natural-language query interface and more about the infrastructure required to make AI useful in analytics: shared business context, governed definitions, executable code, and reviewable workflows. Vendors are converging on agentic analysi
Read issue → - October 26, 2026
Signals — week of October 26, 2026
This week’s strongest signal is that AI for analytics is moving from demo surface to governed infrastructure. Vendors are putting agents directly into data integration, lakehouse catalogs, and transformation workflows, while Snowflake and dbt continue tightening the operational f
Read issue → - October 19, 2026
Signals — week of October 19, 2026
This week’s signal is less about another model announcement and more about the infrastructure around AI-powered analytics. Vendors are moving toward governed agent execution, production oversight, and natural-language model building—raising the bar for semantic-layer quality and
Read issue → - October 12, 2026
Signals — week of October 12, 2026
This week’s strongest signal is a shift from conversational demos toward operational analytics agents: systems that generate pipelines, build dashboards, execute research workflows, or measure agent performance. The common constraint is not model access but trusted context, seman
Read issue → - October 5, 2026
Signals — week of October 5, 2026
This week’s most relevant moves were concentrated in platform performance and AI-assisted analytics, with Snowflake and Databricks both pushing deeper into operational workloads and governed AI. The common thread: vendors are trying to collapse the gap between data infrastructure
Read issue → - September 28, 2026
Signals — week of September 28, 2026
This week’s signal is clear: the analytics stack is moving closer to AI execution, not just AI exploration. The most consequential moves were around governed semantics, AI-ready data access, and consolidation in the services and platform layers.
Read issue → - September 21, 2026
Signals — week of September 21, 2026
This week’s signals are less about generic AI hype and more about the plumbing underneath agent-ready analytics: semantic context, governed BI, and open warehouse-native patterns. The clearest theme is that vendors are racing to make data usable by AI agents without forcing enter
Read issue → - September 14, 2026
Signals — week of September 14, 2026
This week’s signal is less about flashy AI and more about operationalizing analytics: vendors are pushing agentic access to governed enterprise data, BI teams are being nudged toward semantic consistency, and the modern data stack keeps drifting toward fewer handoffs and more emb
Read issue → - September 7, 2026
Signals — week of September 7, 2026
This week’s signal is clear: the analytics stack is moving from passive reporting toward AI-assisted execution, with the biggest announcements centered on model access inside data platforms and more operational use of copilots and agents. Snowflake’s earnings and product momentum
Read issue → - August 31, 2026
Signals — week of August 31, 2026
This week’s signal is consolidation around the data layer and a clear push to make analytics more agentic. The most important moves are infrastructure vendors buying capability at the edge of analytics, plus new products aimed at reducing the friction of BI migration and governed
Read issue → - August 24, 2026
Signals — week of August 24, 2026
This week’s signal is still centered on the same two forces: analytics vendors pushing deeper into agentic, natural-language analysis, and the governance layer getting more important as those tools move closer to production. The most relevant moves are not generic AI announcement
Read issue → - August 17, 2026
Signals — week of August 17, 2026
This week’s strongest signal is the continued push to make analytics interfaces more conversational and more operational: AI agents are moving closer to telemetry, query workflows, and governed data access. Snowflake and Databricks both leaned into this theme, while the rest of t
Read issue → - August 10, 2026
Signals — week of August 10, 2026
This week’s signal is still centered on the operationalization of AI in the data stack rather than model hype. The most relevant stories are about access, governance, and automation: who can safely query what, how legacy SQL and pipelines get modernized, and which platforms are m
Read issue → - August 3, 2026
Signals — week of August 3, 2026
This week’s signal is less about “AI everywhere” and more about where AI is becoming operational inside analytics stacks: cheaper query patterns, more agent-facing data products, and tighter control over governance and execution. The most relevant developments are coming from pla
Read issue → - July 27, 2026
Signals — week of July 27, 2026
This week’s analytics and data stack news is being shaped by two themes: vendors are pushing harder to embed AI directly into BI and data workflows, and enterprise buyers are still sorting out where those capabilities actually remove work versus add complexity. The most relevant
Read issue → - July 20, 2026
Signals — week of July 20, 2026
This week’s analytics landscape is defined by a shift from passive reporting to active, AI-driven decision-making, with agentic AI and real-time intelligence becoming the new baseline for enterprise data teams. The modern data stack is evolving around autonomous systems that not
Read issue → - July 13, 2026
Signals — week of July 13, 2026
This week’s signal is operational: a new frontier model and action surface land together (GPT‑5.6 + ChatGPT Work), while Google converts agentic search into an ad workflow and Tencent offers a production‑scale MoE checkpoint. For data leaders, the priority is moving from benchmar
Read issue → - July 6, 2026
Signals — week of July 6, 2026
This week's analytics landscape is defined by the convergence of AI agents into BI tools and early operational wins from LLM-powered data stacks, while Snowflake and Databricks continue to cement their dominance through aggressive product launches. Data leaders at mid-market and
Read issue → - June 29, 2026
Signals — week of June 29, 2026
This week centers on the tangible integration of AI agents into analytics workflows and the strategic consolidation of the modern data stack. With significant power demands from data centers and urgent LLM training initiatives, data leaders must balance infrastructure scaling wit
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