Enterprises actively use financial modeling to guide their financial planning and strategic decision-making. Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. That being said, one model can’t do it all. As a finance professional, you’ll need different types of financial analysis and modeling for different situations.

If you’re part of an IT team tasked with supporting your organization’s AI ambitions, you already know the headaches: complex security setups, manual configurations, and the constant pressure to keep sensitive data and models secure. Good news! ClearML just made your life a lot easier. We’re excited to announce that we’ve just rolled out advanced new IT governance and security controls.

At Snowflake, we are committed to providing our customers with industry-leading LLMs. We’re pleased to bring Meta’s latest Llama 4 models to Snowflake Cortex AI!

Fivetran’s native integration with Unity Catalog streamlines governance and compliance for data lakes.

Big news: ThoughtSpot University just got a major revamp. We’ve completely reimagined our platform to make learning easier, faster, and more flexible—no matter your role or experience level. Whether you’re diving in for the first time or brushing up on advanced skills, ThoughtSpot University is your central hub for everything training with eLearning, live classes, certifications, and more.

In a time where data is being termed the new oil, businesses need to have a data management system that suits their needs perfectly and positions them to be able to take full advantage of the benefits of being data-driven. Data is being generated at rapid rates and businesses need database systems that can scale up and scale down effortlessly without any extra computational cost.

“AI is inevitable, but is your data ready for all AI has to offer?” That was the unspoken question every keynote, panel, and hallway conversation sought to answer at the 2025 Gartner Data & Analytics (D&A) Summit. Gartner’s response was loud and clear: AI can drive incredible value, but without a good data foundation, it’s garbage in, garbage out.