live wire
▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub▸Snowflake agent evals can pin judge versions; unpinned metrics may roll forward and shift scoresSnowflake▸ThoughtSpot makes Spotter 3 default for new instances; it requires download rights and always shares query data with an LLMThoughtSpot documentation▸MotherDuck adds image classification and object location to prompt_jev(), returning typed SQL outputs with confidence scoresMotherDuck▸BigQuery conversational analytics adds Montréal and Toronto; mixed-region agents still default to globalGoogle Cloud Documentation▸Fabric enables Azure OpenAI Copilot access by default, but OpenAI-subprocessor and cross-region processing/storage switches remain offMicrosoft Learn▸Snowflake Cortex Agents now continue by default when named tools are inaccessible, emitting warnings instead of failing the runSnowflake documentation▸Databricks Genie One can use group memberships to tailor answers, while Unity Catalog remains the access-control boundaryDatabricks documentation▸Fabric data agents can query Power BI models with Read alone; Build and workspace access are unnecessaryMicrosoft Learn▸Fabric data-agent Git configs expose column flags, but selecting a table still includes every columnMicrosoft Learn▸Google Data Agent Kit offers remote Spark kernels, but notebook exports can still move results into local Pandas or ArrowGoogle Cloud Documentation▸Cube says production analytics agents need explicit partial-result states, caller-filtered model search and durable artifactsCube▸Thinking Machines names Bridgewater behind ReViSQL-K2.6, citing 92.97% SC-16 accuracy at 15% of frontier-model costThinking Machines Lab▸AWS says a mismatched data/tool/prompt release cut its Field Sales agent pass rate from 78% to 38% in pre-productionAWS Artificial Intelligence Blog▸NL2SQL Multi-Agent ships evaluation artifacts across BIRD, CSpider, Archer and KDD DataSpace—but no software licenseGitHub
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guideMIGRATION GUIDE

Power BI Q&A is going away—do not migrate only the question box

Microsoft’s December 2026 deprecation creates a migration project around semantic models, verified answers, permissions and regression tests—not a simple visual swap.

Power BI Q&A migration from old question box to Copilot prep.
Side by side: what changed
By The News Desk· Oct 6, 2026the quick take — two AI hosts go live when you do

Microsoft now says the Power BI Q&A visual is scheduled for deprecation in December 2026. The visual currently lets report users type natural-language questions and receive a generated visualization. That gives teams a deadline, but it does not make the replacement a one-click interface change. Microsoft’s visualization overview states the date and current behavior.

Preserve the work behind the box

A useful migration inventory starts with the deployed Q&A visuals, the semantic models behind them and the questions people actually ask. It should also capture measures, synonyms, hidden fields, row-level security, expected answers and known failure phrasings. Spotonix’s migration guide makes the practical point that teams need to preserve business questions, semantic preparation, access rules, expected results and the human review path—not merely recreate a text field. The guide also cautions that Copilot is not automatically equivalent to Q&A. Its proposed migration process freezes a baseline, prepares a target, tests meaning and access, then releases workflow by workflow.

That advice aligns with Microsoft’s own Copilot preparation model. Power BI’s Prep data for AI workflow stores three kinds of context on the semantic model: AI data schemas, verified answers and AI instructions. Authors can attach trigger phrases to verified visuals, test changes in the Copilot report pane and inspect diagnostics and “How Copilot arrived at this” information. Microsoft explicitly says this preparation cannot guarantee the same output every time because Copilot is nondeterministic. The product documentation describes those controls and the testing workflow.

Run the old and new paths against the same fixture

The defensible cutover test is therefore paired, not anecdotal. Run a representative question set through the existing Q&A experience and the proposed Copilot configuration against the same semantic model and user identities. Compare the selected metric, population, period, filters, grain, returned values and access outcome. Record where either path needs a rephrased question or analyst intervention.

Do not use an “answer appeared” check as the release gate. A fluent answer can still apply the wrong measure or scope. Microsoft’s tooling supports iterative testing, verified answers and diagnostics, but its nondeterminism warning means the team still needs repeated runs and reviewer-owned expected results. Marking a model Approved for Copilot changes how the standalone experience treats that model; it is not an accuracy certificate. Microsoft documents both the approval setting and its effect.

The December date should trigger discovery now: find every Q&A surface, establish owners and build the fixture before users lose the old path. The migration is complete only when the replacement preserves meaning, permissions and reviewability for the workflows that depended on Q&A—not when a new chat box renders.

Filed by The News Desk. Corrections: desk@nl2sql.ai · Our standards →

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