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Snowflake’s New Cortex Agents Bridge AI and Enterprise Data Like Never Before
The Cortex Agents framework integrates Anthropic’s Claude 3.5 Sonnet to enhance reasoning, coding, and workflow execution.
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.
Snowflake is also unveiling Snowflake Cortex Guard, an LLM-based safeguard for filtering harmful content across organisational data.
Arctic is also accessible as an NVIDIA NIM inference microservice, broadening developers’ access to its capabilities.
Polaris Catalog relies on Iceberg’s open source REST protocol, which provides an open standard for users to access and retrieve data from any engine that supports the Iceberg Rest API
“Our product pipeline, especially in AI, has been in overdrive. The era of enterprise AI is here, right here at Snowflake.”
The company recently made Snowflake Cortex generally available.
Arctic activates approximately 50% fewer parameters than DBRX, and 80% fewer than Grok-1 during inference or training.
“With the Apache 2 licensed Snowflake Arctic embed family of models, organisations now have one more open alternative to black-box API providers such as Cohere, OpenAI, or Google,” says Snowflake.
Snowflake Cortex LLM Functions, now in public preview, enables users to quickly, easily, and securely build generative AI apps
Ramaswamy, who graduated from IIT Madras, joined Snowflake in May 2023
“In 2024 (and beyond) cloud data costs are going to be much higher because you’re gathering, retaining, and processing more data,” said Kunal Agarwal, CEO and co-founder of Unravel Data
Snowflake wants to facilitate collaboration between different government agencies that currently operate in silos.
Companies looking to cut costs shouldn’t rely on open source solutions either. It’s a juggle
The Neeva AI acquisition will give Snowflake’s customers the ability to talk to their data essentially in a conversational way
Rising 2025, India’s leading DEI summit in tech and AI, delves into actionable strategies, challenges, and innovations driving inclusivity in
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