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Home»Science»Analytics and Data Science News for the Week of December 12; Updates from Altair, DataRobot, ThoughtSpot & More
Science

Analytics and Data Science News for the Week of December 12; Updates from Altair, DataRobot, ThoughtSpot & More

December 13, 2025No Comments
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Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of December 12, 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.

For early access to all the expert insights published on Solutions Review, join Insight Jam, a community dedicated to enabling the human conversation on AI.

Analytics and Data Science News for the Week of December 12, 2025


Altair HyperWorks 2026 Delivers Design Efficiency for the AI-Driven Engineering Era

Altair released HyperWorks 2026, adding AI‑ and physics‑based optimization, cloud‑native workflows, and automated model setup to help engineers design products faster and more efficiently. The platform enhances multi‑physics simulation, generative design, and collaboration so teams can iterate quickly and reduce time‑to‑market in automotive, aerospace, and industrial applications.​

Read more → https://finance.yahoo.com/news/altair-hyperworks-2026-delivers-design-120000382.html

Alteryx Strengthens Enterprise Governance and Transparency for Trusted, Scalable Analytics

Alteryx announced new governance, lineage, and transparency features to help enterprises maintain trust and control as they scale self‑service analytics and AI. Enhancements include expanded role‑based access controls, auditability, and visibility into data flows, so organizations can meet regulatory requirements while empowering more users with analytics.

Read more → https://www.prnewswire.com/news-releases/alteryx-strengthens-enterprise-governance-and-transparency-for-trusted-scalable-analytics-302637062.html

Databricks Introduces GenAI Partner Accelerators for Data Engineering and Migration

Databricks announced new GenAI Partner Accelerators focused on data engineering and migration, providing prescriptive architectures, templates, and best practices co‑built with leading partners to modernize data stacks on the Databricks Data Intelligence Platform. These accelerators are designed to help enterprises move off legacy ETL and warehouses, unify data for AI, and stand up production‑grade GenAI and agentic workloads faster with proven patterns and partner implementation support.​

Read more → https://www.databricks.com/blog/introducing-databricks-genai-partner-accelerators-data-engineering-migration

The Hidden AI Tax: IDC Research Reveals Nearly All Organizations Lose Cost Control When Deploying GenAI and Agentic Workflows at Scale

An IDC survey sponsored by DataRobot found that 96% of organizations deploying generative AI and 92% using agentic AI report costs higher than expected, while 71% admit they have little to no visibility into where those costs originate. Early movers that invested in unified platforms, governance, and cost transparency from the start are pulling ahead, as many others struggle with tool sprawl, multi‑vendor complexity, and IT teams spending nearly half their time stitching AI systems together.​

Read more → https://www.datarobot.com/newsroom/press/the-hidden-ai-tax-idc-research-reveals-nearly-all-organizations-lose-cost-control-when-deploying-genai-and-agentic-workflows-at-scale/

Dremio Survey: Agentic Analytics and AI-Driven Decision Making Are Top Priorities for 2026

Dremio’s 2026 State of the Data Lakehouse & AI report finds that 65% of organizations rank agentic analytics and AI-driven decision-making as top priorities for 2026, with 51% citing productivity and faster innovation as the main reasons to adopt AI. Yet 70% say siloed data and weak governance remain the biggest obstacles, driving a move toward open lakehouse architectures as the foundation for enterprise-wide agentic AI.​

Read more → https://www.hpcwire.com/aiwire/2025/12/10/dremio-survey-agentic-analytics-and-ai-driven-decision-making-are-top-priorities-for-2026/

Drillthrough in Excel Now Supported for Direct Lake and DirectQuery Models

Microsoft removed a long‑standing limitation by enabling Excel’s Show Details (drillthrough) feature to work against Direct Lake and DirectQuery semantic models when using Analyze in Excel. Users can now double‑click PivotTable cells to see underlying detail rows across Import, Direct Lake, and DirectQuery, with all applied filters and RLS/OLS security respected, eliminating the need to switch models just for detailed analysis.​

Read more → https://powerbi.microsoft.com/en-us/blog/drillthrough-in-excel-now-supported-for-direct-lake-and-directquery-models/

Qlik CEO: Enterprises Are Underachieving on AI Due to Data Readiness Gaps

Qlik CEO Mike Capone warned that most enterprises are “underachieving” with AI because their data strategies, governance, and analytic readiness lag their AI ambitions. Citing IDC research, he highlighted that while organizations are heavily investing in generative and agentic AI, only a minority have the scalable, trusted data foundations needed to deploy these capabilities at scale.​

Read more → https://finance.yahoo.com/news/qlik-ceo-enterprises-underachieving-ai-133000753.html

Informatica Empowers AI Agent Reasoning on Salesforce Einstein 1 Platform

Salesforce highlighted how Informatica is using the Einstein 1 Platform and Data Cloud to let AI agents reason over governed, unified data with better context. By combining Informatica’s data management with Salesforce’s agentic AI, customers can build agents that make more accurate decisions in sales, service, and marketing while maintaining trust, governance, and compliance.​

Read more → https://www.salesforce.com/news/stories/informatica-empowers-ai-agent-reasoning/

ThoughtSpot Launches Four BI Agents That Work as a Team to Deliver Modern Analytics

ThoughtSpot launched four collaborative BI agents—Ask, Monitor, Explain, and Build—that work together to answer questions, watch KPIs, explain drivers, and create analytics content autonomously. Built on the ThoughtSpot Sage platform, these agents are designed to give business users conversational, always‑on analytics while preserving governance and trust over underlying data.

Read more → https://www.globenewswire.com/news-release/2025/12/10/3203191/0/en/ThoughtSpot-Launches-Four-BI-Agents-that-Work-as-a-Team-to-Deliver-Modern-Analytics.html

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.

Register for the 7th annual Insight Jam LIVE!: Human Development Focus & the Impact of AI Now

This year’s show is the first since Insight Jam’s YouTube channel crossed 1 million subscribers; a showcase of how network effect works. Every keynote, panel, and highlight will be streamed live and preserved for on-demand viewing — amplifying the reach of every speaker and extending the impact of every insight in an evergreen way.

Read on Solutions Review

Thought Leaders: Fast, Cost Effective Innovation: What AWS Customers Got at AWS re:Invent

Amazon Web Services (AWS) users swarmed Las Vegas last week to network, learn, and buzz about artificial intelligence (AI). Five days and 101 announcements later, what have they walked away with? This blog evaluates re:Invent 2025 from the customer perspective, leveraging new BARC research that assesses the needs of 421 global AI adopters, especially the 120 respondents who rely on AWS.

Read on Solutions Review

Contributor Series: From Prompt Design to Data Engineering – Why Architecture Matters for Agentic AI

Agentic AI is having a moment. Teams everywhere are wiring up agents that plan tasks, call tools, and act autonomously. Demos look smooth, and product pitches sound sharp. But most of these systems sit on a fragile base. At their core, agents depend on data. If that data is slow, scattered, or stale, the system breaks, no matter how good the model or prompt may be.

Read on Solutions Review

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

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Iran warns UAE ports and ‘American hideouts’ are targets | Military

March 14, 2026

Oil may keep rising despite the biggest release of emergency stockpiles

March 14, 2026

State Department offers $10M reward for Mojtaba Khamenei information

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