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Top Gen AI Demos of AI Applications With MLRun

Gen AI applications can bring invaluable business value across multiple use cases and verticals. But sometimes it can be beneficial to experience different types of applications that can be created and operationalized with LLMs. Better understanding the potential value can help: In this blog post, we’ve curated the top gen AI demos of AI applications that can be developed with open-source MLRun. Each of these demos can be adapted to a number of industries and customized to specific needs.

How Singapore Embraces Data Streaming Across Finance, Air Travel & More

Real-time data has become an essential asset for today’s businesses, and the Asia-Pacific market is no exception. Across competitive industries like finance, travel, and more, data streams and event-driven architectures have become table stakes for leading organizations in the region.

EP 8: Data leakage: The missed opportunity of lost data

Data has so much promise, but organizations struggle to use it effectively, especially with the increasing complexity of managing large projects and the pressure of incorporating AI. On this episode of The AI Forecast, we’re joined by Simon Asplen-Taylor, the founder and CEO of DataTick and author of “Data and Analytics Strategy for Business”. Simon has spent years counseling organizations on getting their data right. In this episode, Simon shares the common missteps organizations experience with their data – with all roads leading back to data quality and a wild west of data collection across a business.

Announcing DeepSeek-R1 in Preview on Snowflake Cortex AI

We are excited to bring DeepSeek-R1 to Snowflake Cortex AI! As described by DeepSeek, this model, trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT), can achieve performance comparable to OpenAI-o1 across math, code and reasoning tasks. Based on DeepSeek’s posted benchmarking, DeepSeek-R1 tops the leaderboard among open source models and rivals the most advanced closed source models globally.

Overcoming ESG Data Challenges: Why 2025 is the Year to Act

Environmental, Social, and Governance (ESG) reporting is no longer a forward-thinking corporate initiative—it’s an immediate business imperative. With regulatory deadlines fast approaching, stakeholders demanding transparency, and the financial risks of inaction rising, companies must move beyond reactive reporting to proactive ESG data management.