Open Source vs. Closed Source LLMs: Which is Better for Enterprises?

The market for artificial intelligence (AI) stood at $184 billion in 2024 and is expected to more than quadruple in the next six years. While these expectations are astonishing, AI experts think they’re conservative, to say the least, and the actual market value would be considerably bigger. Large language models (LLMs) like GPT 3 have ushered in the age of AI. They’re finding applications as varied as complex scientific research and writing lyrics for rap battles.

Maximizing ROI: Advanced Cost Optimization Techniques for Databricks

Join us for an insightful session in our Weekly Walkthrough series, "FinOps Metrics That Matter," where we delve into advanced strategies for optimizing costs and maximizing ROI in Databricks environments. In today's data-driven landscape, precise cost forecasting and management are crucial. Yet, a staggering 80% of data management experts struggle with this task (Forrester). The root causes? Lack of granular visibility, siloed data, and the absence of AI-driven predictive tools.

Jet Reports Online - Report Center

Accessing accurate and timely financial data is crucial for today's finance professionals. Yet many organizations are held back by siloed systems and outdated processes. How do you solve these challenges? Meet Report Center, a new feature of Jet Reports online from Insight Software. Report Center is a secure cloud based portal for seamless collaboration and management of Business Central Cloud Reports.

Stream On: Unleashing Innovation with Data Streaming | Life is But a Stream

Real-time data streaming is shaking up everything we know about modern data systems. If you’re ready to dive in but unsure where to begin, no worries. That’s why we’re here. Our first episode breaks down the basics of data streaming—from what it is, to its pivotal role in processing and transferring data in a fast-paced digital environment. Your guide is Tim Berglund, VP of Developer Relations at Confluent, where he and his team work to make data streaming data and its emerging toolset accessible to all developers.

Continuously Improving Developer Productivity at Snowflake

People often ask me, “Why did you join Snowflake, and why did you choose to work on developer productivity?” I joined Snowflake to learn from world-class engineers and be part of the highly collaborative culture. These have been the secret sauce to Snowflake’s rocket-ship growth. Snowflake was embarking on a remarkable transformation of developer productivity, and I had to jump on the rocket ship as it was taking off!

The AI Tipping Point: What Retail Leaders Need to Know for 2025

AI is here to stay. While 2023 brought wonder and 2024 ushered in widespread experimentation, 2025 will mark the year that retailers get serious about AI's real-world applications. But it’s complicated: AI proofs of concept are graduating from the sandbox to production even as major AI innovators face competition from newer upstarts. At this point, the pace of AI evolution is outstripping the news cycle.

Unlock Cost Savings with Freight Clusters-Now in General Availability

Last year, we introduced Freight clusters, a new, cost-effective Confluent Cloud cluster type—purpose-built for high-throughput, latency-insensitive workloads—such as observability data, batch pipelines, and AI/ML data ingestion. Since then we've been working with early access customers to take their workloads to production, and in doing so, have helped them achieve 90% lower infrastructure costs, while maintaining the reliability we all know and expect from Confluent Cloud.

5 Signs Your Company Is Ready to Embrace Data Products

In today’s data-driven world, organizations are increasingly turning to data products to gain actionable insights, improve decision making, and fuel innovation. Data products — productized datasets, metadata, and domain logic — are designed to democratize data access and make it easier for teams to maximize their data’s value without requiring deep technical expertise.

Turning AI Ambitions into ROI: Overcome Data Challenges with Snowflake Partners

Generative AI’s potential to drive innovation, improve efficiency and create competitive advantages is enormous. However, the ability to fully realize the benefits of generative AI hinges on one crucial factor: data strategy. “Data Strategies for AI Leaders,” a report co-written by MIT and Snowflake, underscores how organizations must invest in robust data foundations to succeed in the AI era.