The initiative introduces a vendor-neutral semantic model specification designed to create consistency in how business logic is defined and shared across AI and business intelligence applications.
Snowflake’s World Tour is a global series spanning 23 cities across multiple continents.
India has become a key market for Snowflake, which plans to increase its local workforce to more than 700 employees by the end of 2025.
Snowflake focuses on targeted post-training and reinforcement learning to optimise open-source models for specific enterprise tasks.
Snowflake’s approach is rooted in the idea that AI should operate directly on data where it is stored, instead of requiring data to be moved to separate AI platforms.
PostgreSQL, the open-source relational database, has surged in popularity, surpassing MySQL as the most favoured database among developers.
Moreover, SnowConvert AI can help enterprises complete code conversion and testing phases two to three times faster.
Snowflake Intelligence, launching soon in public preview, allows non-technical users to query and act on structured and unstructured data through natural language prompts.
Postgres is widely used by developers due to its open-source foundation, flexibility and support for features like vector embeddings.
The company supports a complete end-to-end data engineering lifecycle.
Companies like Illumina, Komodo Health, Medidata, and WHOOP use Snowflake to activate open-format data for AI and analytics use cases.
The hub aims to be a place for startup founders to collaborate.
Cortex Agents are now available within Microsoft 365 apps and Copilot.
The Cortex Agents framework integrates Anthropic’s Claude 3.5 Sonnet to enhance reasoning, coding, and workflow execution.
It reduces the time to the first token by up to 50%, benefiting latency-sensitive applications such as chatbots and AI copilots.
“I have no idea why he is so obsessed with Snowflake because I am not obsessed with Databricks.”
“Suddenly, we saw $19 Bn of interest,” recalls Databricks CEO, saying unlike anything witnessed before.
The acquisition will allow Snowflake to integrate Datavolo’s technology into its unified platform, providing a more straightforward approach for data engineering teams to connect enterprise systems.
Databricks operates more as PaaS, not SaaS, and there’s a market for that approach.
“I don’t wake up every morning aiming to be the 13th best database company in the world. But even if I were, it would still be a multi-billion dollar opportunity.”
“If you are building traditional ML, predictive ML, or discriminating ML, there are enough use cases.”
The idea of AI as a Service is evolving, but SaaS remains very much alive.
“I would say 80% of our focus is on data collection and organization, and that’s really where Snowflake has helped us tremendously.”
Last week, Netflix partnered with LVMH, COTY, Gucci, Kaiku Caffee Latte, Aeromexico, Google, and Rakuten for the highly anticipated return of Emily in Paris.
The partnership claims to reduce data processing time from days to minutes and merchants can gain real-time data insights, optimising operations and decision-making.
This webinar will clarify the differences between RAG and fine-tuning, alongside how and when to use these methods effectively.
Databricks envisions bringing both Delta Lake and Iceberg formats closer in the future to a point where their differences won’t matter.
“We believe it’s part of our charter to educate the market,” said Vijayant Rai.
H2O.ai’s integration with Snowflake Native Apps enables customers to derive insights directly from their Snowflake account where their data resides.
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