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.
Snowflake is also unveiling Snowflake Cortex Guard, an LLM-based safeguard for filtering harmful content across organisational data.
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
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
“AI race is going to create more losers than winners,” says GQG Partners’ Rajiv Jain. Really?
Powerful to time-saving, this list of AI-powered tools will come in handy for data science and analytics
A significantly high percentage of partnerships with companies like AWS, Microsoft, and Google shows their wide-ranging technology facilities, like cloud storage, database, reporting and visualization, data and analytics, computing, etc.
The Mizu team claims that ‘Kubeshark’ is similar to Wireshark re-born for Kubernetes.
Python and R are used for similar purposes, but differ in essence.
At Snowday 2022, Snowflake announced exciting new additions to its platform. The additional features will help developers, data scientists, and data engineers to increase productivity and uncover new ways to
The first generation platforms were based on a data warehouse model.
Streamlit is an open-source Python library that makes it easy to create custom web apps for machine learning and data science.
Existing Snowflake customers would be able to leverage Streamlit’s app development framework to use data with Snowflake Data Cloud.
Streamlit and Snowflake developer communities will now be able to tap into cutting edge technologies and get a lot more done from data.
Currently, Snowflake’s Data Classification focuses on direct identifiers, quasi-identifiers, and sensitive attributes.
With 90 per cent of organisations struggling to implement ML, it is important to take a relook at the actual benefits of the technology and its possibilities.
Snowflake offers fast, reliable, secure and cost-effective access to data by creating a single, governed and immediately available source.
Maintaining data centres is not a core competency for many enterprises. So, many companies started surfacing over the past decade promising to alleviate the enterprise woes by offering seamless intelligence
This week, American tech giants have reignited their ambitions of becoming the centre of global chipset innovation. Nvidia which has been having a tremendous run has now probably become the
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