Analytics and Data Science News for the Week of August 1; Updates from Anaconda, Teradata, ThoughtSpot & More

Solutions Review Executive Editor Tim King curated this list of notable analytics and data science news for the week of August 1, 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 August 1, 2025

Anaconda Raises $150M+ to Power Enterprise AI with Open-Source Python

Anaconda, the standard in enterprise open-source Python and AI development, has raised more than $150 million in Series C funding led by Insight Partners and Mubadala Capital. The company is profitable with over $150 million ARR, has more than 50 million users, and is trusted by 95% of the Fortune 500. This capital injection will accelerate product innovation and global expansion, positioning Anaconda as the foundational platform for organizations scaling up AI initiatives with open-source tools.

Read the full story: https://www.businesswire.com/news/home/20250730399625/en/Anaconda-Raises-Over-%24150M-in-Series-C-Funding-to-Power-AI-for-the-Enterprise

Cognizant Unveils AI Training Data Services to Accelerate Enterprise-Scale Model Development

Cognizant has launched AI Training Data Services, designed to streamline the creation of high-quality, enterprise-ready datasets for large-scale AI model development. By providing secure, scalable annotation and enrichment services, Cognizant aims to reduce time-to-value for AI initiatives in industries such as finance, retail, healthcare, and automotive.

Read the full story: https://www.prnewswire.com/news-releases/cognizant-launches-ai-training-data-services-to-accelerate-ai-model-development-at-enterprise-scale-302517315.html

Contentsquare to Acquire Loris AI for Enhanced Conversation Analytics

Digital analytics leader Contentsquare has entered a definitive agreement to acquire Loris AI, a top conversation intelligence platform. By combining Loris’s conversational analytics with Contentsquare’s digital experience insights, the acquisition aims to give companies a holistic view into customer journeys, connecting conversational data with digital touchpoints and fueling smarter, more predictive CX intelligence.

Read the full story: https://www.cmswire.com/digital-experience/contentsquare-to-acquire-loris-ai-for-conversation-analytics/

Databricks Unveils Powerful July 2025 AI/BI Upgrades for Dashboards and Genie

Databricks has rolled out a suite of enhancements to its AI/BI Dashboards and Genie, including theme customization, global filters, drill-through navigation, and streamlined data uploads directly into Unity Catalog. The updates make it simpler for users to create branded dashboards, apply interactive filters across pages, and perform deep-dive analyses—all while leveraging new forecasting and metadata curation features. These advances are designed to boost business intelligence flexibility, usability, and insight accuracy for Databricks customers.

Read the full story: https://www.databricks.com/blog/whats-new-aibi-july-2025-roundup

DataRobot Announces Agent Workforce Platform Built with NVIDIA

DataRobot has debuted its Agent Workforce Platform, leveraging NVIDIA’s advanced AI infrastructure to enable organizations to build, deploy, and manage teams of intelligent AI agents. The platform is designed to enhance business productivity and innovation, making it easier for enterprises to orchestrate scalable, specialized AI agents for complex tasks and workflows.

Read the full story: https://www.businesswire.com/news/home/20250731021204/en/DataRobot-Announces-Agent-Workforce-Platform-Built-with-NVIDIA

Datavault AI Debuts Enterprise Commercialization for AI Agents Built with IBM watsonx.ai

Datavault AI has launched a new commercialization program for enterprise AI agents built using IBM watsonx.ai, empowering organizations to monetize and deploy advanced AI-powered solutions for data enrichment, analytics, and automation. The initiative aims to bridge the gap between experimental AI and production-ready, revenue-generating solutions.

Read the full story: https://www.businesswire.com/news/home/20250729239557/en/Datavault-AI-Debuts-Enterprise-Commercialization-for-AI-Agents-Built-With-IBM-watsonx.ai-for-AI-Powered-Data-Monetization

Entrinsik Releases Informer 2025.2.0 for Enhanced Business Intelligence

Entrinsik has launched Informer 2025.2.0, delivering new AI-powered analytics, advanced connectors, and flexible reporting features for business intelligence users. The release aims to streamline insight generation, improve data visualization, and support diverse data environment needs.

Read the full story: https://entrinsik.com/informer/informer-2025-2-0-release/

LakeFS Secures $20M to Scale Data Version Control for AI and Analytics

LakeFS has closed a $20 million funding round to grow its platform for data version control—a critical capability for reliable AI/ML workflows and reproducible analytics. The solution enables enterprises to manage complex data lakes with git-like operations, making it easier for teams to experiment, collaborate, and maintain consistency across massive data sets.

Read the full story: https://www.citybiz.co/article/724005/lakefs-secures-20m-in-growth-capital/

Teradata Empowers Agentic and Generative AI with New ClearScape ModelOps

Teradata has enhanced its ClearScape Analytics suite by launching unified ModelOps tools, streamlining the integration of agentic and generative AI into enterprise operations. The update includes seamless support for open-source ONNX models and major LLM APIs, low-code AutoML for faster deployment, and robust governance for trusted, scalable AI performance—enabling organizations to move beyond experimentation and unlock business value from AI at production scale.

Read the full story: https://www.teradata.com/press-releases/2025/clearscape-analytics-agentic-generative-ai

ThoughtSpot Launches Agentic MCP, Redefining AI Interoperability

ThoughtSpot has unveiled the ThoughtSpot Agentic Model Context Protocol (MCP), a breakthrough in AI interoperability that enables organizations to future-proof their analytics investments. The open protocol allows seamless integration of AI agents and apps, empowering businesses to build composable, interoperable AI solutions across tools and clouds, and unlocking new levels of insight automation.

Read the full story: https://www.thoughtspot.com/press-releases/thoughtspot-redefines-ai-interoperability-with-launch-of-thoughtspot-agentic-mcp

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.

Mastering the Hunt with Dragonfly-Level Analytics by Dr. Joe Perez

This article was inspired by a short viral video I shot in a quiet nature park, where I explored the surprising connection between nature’s most effective predators and the world of modern data analytics. The video resonated tremendously. As of July 2025, it became the most-watched user-created video ever on the Insight Jam YouTube platform. Why did it strike such a chord? Here’s my take: People are drawn to nature; they’re fascinated by performance. And when you connect a dragonfly’s stunning 95 percent hunting success rate with the demand for precision in business, the metaphor almost builds itself.

Read on Solutions Review

On-Demand: Insight Jam‘s Friday Jam Session with Wayne Eckerson, Carlos Bossy, Elliott Cordo & Joshua Bartels: How to Blend Software and Data Engineering on a Single Team

As software applications become more data-driven, the worlds of software engineering and data engineering are colliding–and not always in a good way! These two sets of engineers often see and approach application development in different ways. This can lead to friction and outright conflict that can torpedo a project if not managed properly.

Watch on YouTube

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