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Home»Science»Analytics and Data Science News for the Week of March 21; Updates from Anaconda, DataRobot, H2O.ai & More
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Analytics and Data Science News for the Week of March 21; Updates from Anaconda, DataRobot, H2O.ai & More

March 22, 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 March 21, 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 March 21, 2025

Alluxio Partners with vLLM

This joint solution moves beyond traditional two-tier memory management, enabling efficient KV Cache sharing across GPU, CPU, and a distributed storage layer. By optimizing data placement and access across different storage tiers, it delivers low-latency, greater scalability, and improved efficiency for large-scale AI inference workloads.

Read on for more

Amplitude Announces Session Replay Everywhere

Session Replay Everywhere ensures that replays are seamlessly integrated into analytics, A/B testing, and surveys—so teams can move from insight to action faster. With Session Replay Everywhere, you can now see what users are doing directly from your funnel chart without switching pages or tools.

Read on for more

Anaconda Extends Partnership with NVIDIA

This solution seamlessly connects Jupyter users from local or on-premises workflows to cloud or enterprise GPU resources through an intuitive interface. It empowers teams across all technical proficiency levels to develop, test, and optimize AI/ML workflows on high-performance computing infrastructure without the traditional complexity of resource management.

Read on for more

Databricks Announces Availability of Explore in Tableau

This feature simplifies catalog integration and data model syncing, allowing you to send datasets to Tableau Cloud without manual setup. Explore in Tableau integrates seamlessly with Tableau Cloud, making it easier to generate insights. It ensures that your data is always accessible, governed, and ready for visualization.

Read on for more

Dataiku Collaborates with Deloitte on Analytics Modernization

Deloitte will employ its depth of AI and modernization talent and capabilities to migrate enterprise customers from legacy data systems to the Dataiku Universal AI Platform to build intelligence into their daily operations through modern analytics, Generative AI (GenAI), and AI agents.

Read on for more

DataRobot Announces New Industry AI Application Suites for SAP

DataRobot AI application suites are designed to take full advantage of SAP business context and are fully customizable, pre-built, and pre-configured for SAP solutions, empowering AI teams to rapidly deliver tailored line-of-business AI solutions without additional infrastructure or manually-intensive CI/CD pipelines.

Read on for more

Domopalooza: Domo Tackles Data Products with New Platform Updates

These innovations enable companies to streamline collaboration, accelerate decision-making, and transform data insights into actionable business outcomes while significantly reducing the time teams spend searching for content.

Read on for more

Entrinsik Announces Usage-Based AI Licensing & Magic Visuals

With usage-based AI licensing, Magic Visual for instant visualizations, and enhanced Libraries Integration, organizations can streamline workflows, reduce complexity, and make smarter decisions faster.

Read on for more

H2O.ai Partners with VAST Data on Domain-Specific Insights & Agentic AI

This joint solution combines VAST Data’s modern infrastructure for storing and managing all data types (video, audio, documents, sensor data) with H2O.ai’s enterprise h2oGPTe platform to deliver retrieval-augmented answers, powerful model fine-tuning options, and grounded insights for enterprise users across on-premise, airgapped, and private cloud deployments.

Read on for more

ISG Research Says Enterprises Are Set to Boost AI & Analytics Skills

Respondents said overall staffing levels will remain largely unchanged, but the mix of skills will focus more on AI and data analytics abilities, rather than on manual and administrative tasks that can be automated.

Read on for more

Expert Insights Section

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.

NEW Episode of The Digital Analyst with John Santaferraro Featuring Hyoun Park: The Plummeting Cost of AI

They discuss how AI model training costs have plummeted from $50 million to potentially just $50 in compute costs, the shift toward smaller specialized models rather than massive foundation models, and what these developments mean for enterprise AI adoption. The conversation explores how affordable AI will accelerate agent development and the challenges of orchestrating multiple AI agents to work together effectively.

Watch on YouTube

Insight Jam Panel Highlights: Who Should Be Responsible for AI Governance?

The panel explores different leadership models, the importance of cross-functional collaboration, and practical approaches to defining roles and responsibilities. They draw parallels to established information governance practices while addressing the unique challenges of AI. Essential viewing for organizations developing AI governance structures that balance innovation with risk management.

Watch on YouTube

Insight Jam Panel Highlights: Does AI Fundamentally Change Data Architecture?

Our data architecture experts discuss how AI is fundamentally transforming enterprise data systems. The panel explores why organizations need to bring AI operations closer to data, the growing importance of semantic layers, and the rise of graph-based approaches. They address challenges in metadata management, data fragmentation, and the need for shared language across organizational silos. Essential viewing for data professionals planning AI-ready architectures.

Watch on YouTube

New on Solutions Review Thought Leader by Robert Eve: Mind the Gap! Where Traditional Data & Analytics Governance Fails AI

If you are among the four million people who ride London’s Tube daily, you are undoubtedly familiar with its ubiquitous warning: Mind The Gap. That warning came to mind recently when I read a thought-provoking article, “The Gorilla in the Quadrant: Why Your Data and AI Governance Strategy Needs More Than Gartner’s Report,” by my friend and fellow Solutions Review Expert David Sweenor.

Read on Solutions Review

New on Solutions Review Thought Leader by Monica Kay Royal: How to Be a Data Analyst in the Age of AI

The rise of Artificial Intelligence (AI) has brought both excitement and confusion to the world of data analysis. If used appropriately, AI can be used as a superpower but it can only be as good as what you put into it.  It’s important to understand how to use AI to your advantage, which requires you to explore where you should be leveraging AI to augment vs automate your work.

Read on Solutions Review

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

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