Analytics and Data Science News for the Week of December 5; Updates from Databricks, Power BI, Qlik & More

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of December 5, 2025.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

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Analytics and Data Science News for the Week of December 5, 2025

AtScale Delivers Semantic Intelligence to Databricks MCP Marketplace

AtScale released its MCP Server in the Databricks MCP Marketplace, enabling AI agents to call the AtScale semantic layer as an action service and reason over governed business metrics instead of raw tables. By leveraging Databricks’ Model Context Protocol, enterprises can deploy trusted agentic systems that eliminate hallucinations and apply consistent business logic for use cases like revenue, churn, and margin analysis.​

Read more → https://www.businesswire.com/news/home/20251201005442/en/AtScale-Delivers-Semantic-Intelligence-to-Databricks-MCP-Marketplace

Databricks Introduces Serverless Workspaces: Workspaces in Seconds

Databricks launched serverless workspaces that spin up in seconds, eliminating cluster management and simplifying how teams get started with analytics and AI workloads on the Databricks Data Intelligence Platform. The new model abstracts away infrastructure provisioning so users can focus on building data and AI applications while benefiting from automatic scaling, security, and cost controls.​

Read more → https://www.databricks.com/blog/workspaces-seconds-introducing-serverless-workspaces

New insightsoftware Report Exposes Confidence Gap Slowing AI Adoption Across Corporate Finance Teams

insightsoftware’s report “The AI Confidence Crisis in Corporate Finance” finds that while 58% of finance professionals see AI as essential to their roles, only 39% feel confident using it, revealing a widening confidence and skills gap. Limited time, training, and trust are slowing the shift from experimentation to full deployment, suggesting that enablement and change management, not just technology, are now the main barriers to AI adoption in finance.​

Read more → https://www.globenewswire.com/news-release/2025/11/24/3193547/0/en/New-insightsoftware-Report-Exposes-Confidence-Gap-Slowing-AI-Adoption-Across-Corporate-Finance-Teams.html

Microsoft Deprecates Power BI Q&A in Favor of Power BI Copilot

Microsoft announced the deprecation of Power BI Q&A, its legacy natural language query feature, which will be fully retired in December 2026 and replaced by Power BI Copilot for natural language analytics. Customers are encouraged to migrate scenarios to Copilot, which offers a more advanced generative AI interface for asking questions, creating visuals, and exploring insights over their data.​

Read more → https://powerbi.microsoft.com/en-us/blog/deprecating-power-bi-qa/

Model N Launches Data nSights: Real-Time Analytics to Drive Action and Optimize Net Revenue

Model N introduced Data nSights, a real-time analytics and data platform for life sciences and high-tech manufacturers that delivers curated, AI-ready data and a growing library of revenue management insights. The solution automates data pipelines and provides prebuilt dashboards, no-code BI, and dimensional data stores so teams can shift from manual data preparation to strategic decisions that reduce revenue leakage and improve profitability and compliance.​

Read more → https://www.8newsnow.com/business/press-releases/globenewswire/9592106/model-n-launches-data-nsights-real-time-analytics-to-drive-action-and-optimize-net-revenue/

Qlik Debuts Agentic Experience to Accelerate Data-to-Decision Workflows

Qlik introduced a new agentic experience that provides a single conversational interface where users across the enterprise can work with specialized AI agents to explore data, generate insights, and automate complex workflows. The experience is designed to boost productivity and decision speed by letting people interact with governed data in natural language, with rollout beginning via private previews after Qlik Connect 2025.​

Read more → https://www.qlik.com/us/news/company/press-room/press-releases/qlik-debuts-agentic-experience

Expert Insights

Watch this space each week as our editors will share upcoming events, new thought leadership, and the best resources from Insight Jam, Solutions Review’s enterprise tech community where the human conversation around AI is happening. The goal? To help you gain a forward-thinking analysis and remain on-trend through expert advice, best practices, predictions, and vendor-neutral software evaluation tools.

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Read on Insight Jam

The Digital Analyst: What Makes Data AI-Ready with David Stodder

This conversation goes beyond buzzwords into practical strategies: semantic layers for unstructured data, the data product approach, Apache Iceberg standards, and why political issues often block technical solutions. If you’re navigating the trillion-dollar AI wave, this episode delivers the foundational knowledge others assume you already have.

Watch on YouTube

The Jam Session: Tech Without the Attitude: Why Relationships Still Matter in IT

Cher Fox brings together IT professionals to challenge the industry stereotype of the faceless vendor, transactional MSP, and arrogant consultant by revealing how human relationships determine whether technology projects thrive or fail. The panel shares origin stories of connections formed through networking events, mutual contacts, and even hailstorms that damaged cars, demonstrating how trust built through happy hours and personal connections transcends formal contracts to create lasting professional partnerships.

Watch on YouTube

Thought Leaders: Embedded Product Thinking into Data: The Rise of the Data Product

Organizations must establish ownership, scope, and expectations through formal agreements. Data contracts outline responsibilities, usage, and quality standards—from completeness to privacy. This structure builds user trust and enables proactive monitoring and automation.

Read on Solutions Review

Contributor Series: The Hidden Reason AI Fails & How Knowledge Graphs Can Fix Them

As enterprises increasingly rely on AI and machine learning to drive innovation, the persistent challenges of poor data quality, fragmented silos, and the absence of standardized semantics and robust governance threaten the reliability and trustworthiness of these solutions.

Read on Solutions Review

For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.