This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
In this Nov 11 Live Demo, Learn how to get reliable training data for machine learning. Toloka is a crowdsourced data labeling platform that handles data collection and annotation projects for machine learning at any scale.
Gross implies the company is eyeing more than $10B in revenue; although it’s just a claim, and we saw no product or demo. Source: Cognition So far, all we have is video demos, and accounts of those with access to this tool. But there is none of this.
Stream processing applications, including streaming ETL pipelines, materialized caches, and event-driven microservices, are made easy with ksqlDB. Until recently, your options for interacting with ksqlDB were limited to its command-line […].
Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
Project demo 3. Introduction 2. Building efficient data pipelines with DuckDB 4.1. Use DuckDB to process data, not for multiple users to access data 4.2. Cost calculation: DuckDB + Ephemeral VMs = dirt cheap data processing 4.3. Processing data less than 100GB? Use DuckDB 4.4.
Demo 3.1.3. Introduction 2. Enabling Stakeholder data access with RAGs 3.1. Set up 3.1.1. Pre-requisite 3.1.2. Key terminology 3.2. Loading: Read raw data and convert them into LlamaIndex data structures 3.2.1. Read data from structured and unstructured sources 3.2.2. Transform data into LlamaIndex data structures 3.3.
Hugging Face Spaces allows you to have an interactive experience with the machine learning models, and we will be discovering the best application to get some inspiration.
Gross implies the company is eyeing more than $10B in revenue; although it’s just a claim, and we saw no product or demo. Source: Cognition So far, all we have is video demos, and accounts of those with access to this tool. But there is none of this.
The gap between the shiny “hello world” examples of demos and the gritty reality of messy data and imperfect formats is sometimes all too […]. Building data pipelines isn’t always straightforward.
In this last installment, we’ll discuss a demo application that uses PySpark.ML For more context, this demo is based on concepts discussed in this blog post How to deploy ML models to production. In this demo, half of this training data is stored in HDFS and the other half is stored in an HBase table. Serving The Model .
If you are taking your first steps with Apache Kafka®, looking at a test environment for your client application, or building a Kafka demo, there are two “easy button” paths […].
We have more demos and hands-on virtual labs than ever before—and you won’t find a bunch of slideware here. See new app creations in Builder Minutes Stick around between sessions for our new Builder Minutes videos, serving up snack-sized demos of cool things built by the Snowflake community. BUILD 2023 is where AI gets real.
In the demo there is also how the SQL UI integrates LLMs generating SQL from a comment. In the demo LakehouseIQ is asked to "get revenue for Europe" but understand that Europe is not the exact name of the region for this company but EMEA. Here a demo of LakehouseIQ. PS: s/o to David who also covered Snowflake changes.
It will also be your opportunity to learn about the latest Snowflake Data Cloud and Snowflake product developments and to watch informative partner and product demos, Data Cloud Industry Day will provide industry leaders and data practitioners with the knowledge they need to launch a data revolution in their own organizations.
On 29 Oct, Saturday morning, a new project kicked off, with the first demo due on Monday morning. ’ The launch date was set for Monday, 7 November, with more granular demos and milestones slated in. ’ The launch date was set for Monday, 7 November, with more granular demos and milestones slated in.
This article shows an end-to-end demo of how to write a simple C++ application with Deep Learning capabilities using the PyTorch C++ API such that the same code can be built for use on mobile platforms (both Android and iOS). The PyTorch Deep Learning framework has a C++ API for use on mobile platforms.
Check out the demo. Check out the demo and sign up for the waitlist. Check out the demo. Check out the demo. Check out the demo and sign up for the waitlist. Hex: Hex, a platform for collaborative analytics and data science, can soon be deployed entirely within the end-consumer’s account. H2O.ai: H2O.ai
LLMs with Keras — Keras team demoed various workflows around LLMs (Gemma) with Keras. This is close to what I had demoed last year in a talk. But one of the most important announcement was only a few seconds about search that might change forever (paywall can be avoided with a page reader).
Come to hear an insightful keynote and executive session, and attend deep dives featuring customer stories as well as product demos for AI use cases and apps. Check out demos from Goldman Sachs and Bloomberg on the Goldman Sachs Legend and Bloomberg Data License native apps, respectively.
We also discuss the key features and how they enable better demos and load testing than other methods This is something you wouldn’t want to miss! Lastly, we go in-depth into ShadowTraffic, covering how it works and why creating good, fake data is harder than it looks.
For more about RelationalAI and to hear about the real-world impact of their technology and Snowflake Native Apps, watch the on-demand keynotes from Snowflake AI Data Cloud Summit 2024, featuring discussions with AT&T and Cash App as well as demos of RelationaAI’s tools: Platform keynote: Hear how AT&T uses RelationalAI to fight fraud and maximize (..)
Slalom launches demos with modern data stack leaders Slalom works with ThoughtSpot to drive innovative transformation for clients looking to modernize their data stack and get faster, easier access to their insights via AI-Powered Analytics. I'm excited to continue driving momentum in the field and growing our partnership.”
If you haven’t already, you can try Iceberg Tables with this quickstart guide , or watch a demo to see how Iceberg is integrated with the Snowflake platform, like Cortex AI LLM functions. Stay tuned for more announcements at Snowflake’s Data Cloud Summit on June 3–6 in San Francisco.
The most important part of these SAFe-specific events is for ‘Business Stakeholders’ to get a look (demo) at a proper incremental product and thus the value arising out of it. Sprint demos were happening individually and were being represented by the Product owner separately along with his business analysts. Makes sense?
kyutai released Moshi — Moshi is a "voice-enabled AI" The team as kyutai developed the model with an audio interface-first with an audio language model, which make the conversation with the AI more real (demo at 5:00 min) as it can interrupt you or kinda "think" (meaning for predict the next audio segment) while it speaks.
Scaling with applications: Get a deep dive — including partner demos — into how businesses are generating new revenue and monetization opportunities by building applications on the Snowflake platform and scaling their businesses by making their applications available on Snowflake Marketplace. Why Attend Accelerate Manufacturing?
Demo in Sprint Review This type of validation demonstrates the software features/functionality completed during the particular sprint in the presence of customer/ advisory board or user group to highlight progress and to gain the important feedback. To simplify the process, the validation exercise can be stipulated in three steps: 1.
With a full agenda of practical demos, thought-provoking speakers and a Gen AI Bootcamp, there’s no shortage of draws, but here are a few solid reasons to join us. Mistral will showcase its Large LLM, available in Cortex, and Kumo AI will demo its advanced predictive AI app.
Scaling experiments with Metaboost bindingsbacked by MetaflowConfig Consider a Metaboost ML project named `demo` that creates and loads data to custom tables (ETL managed by Maestro), and then trains a simple model on this data (ML Pipeline managed by Metaflow). ' "scikit-learn": '1.4.0' cluster=sandbox, workflow.id=demo.branch_demox.EXP_01.training
You’ll see live demos from Snowflake’s engineering and product teams and hear from some of the most well-known global organizations on how they are shaping their industries with the Snowflake Data Cloud. For the first time ever, attendees can also take advantage of a full day of focused training, including lectures, demos and hands-on labs.
Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Visit our site at [dataengineeringpodcast.com/datafold]([link] today to book a demo with Datafold. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.
It’s hard to tell from a demo how solid this would be in a real production system. Putting those important questions aside, the demo was still quite impressive. In the other direction, with the advent of generative AI, there was no doubt that we would see AI-based products to ease the automation of infrastructure-related tasks.
Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold. Visit our site at [dataengineeringpodcast.com/datafold]([link] today to book a demo with Datafold. Visit dataengineeringpodcast.com/datafold today to book a demo with Datafold.
If you did not register next week we’ll host an online meetup about Airflow alternatives and Prefect and Dagster teams will do a demo. Join the event on LinkedIn on April 4th 7PM CET (UTC+2) PS: brace yourself, April fool's is tomorrow. I've already seen a few "jokes" on LinkedIn.
To view a demo, watch this vi deo. To view a demo, watch this video. To view a demo, watch this video. To view a demo, watch this video. RAG with Knowledge Graph Retrieval Augmented Generation (RAG) has become one of the default methodologies for adding additional context to responses from a LLM.
Embracing the power of chained data products is a key step toward unleashing the true potential of data-driven decision-making. Request a demo today and see it in action.
This is an interesting demo of how you can quickly build a chat experience—using OpenAI—on top of you data models. How to chat with data in Snowflake using ChatGPT, dbt, and Streamlit — Less boring, obviously when you put ChatGPT and dbt in the same sentence it creates buzz instantly.
During the demo, Llyod does some data analysis in the browser and it's just mind-blowing 🤯 At the same time someone Google also did a Calcite presentation. ." Since joining Google, he's been working on Malloy, a new way to query data. Malloy compiles in SQL and works on data semantics.
See demos showing how Snowflake Marketplace, data apps and native applications can become true differentiators for any healthcare and life sciences organization looking to optimize its data.
We organize all of the trending information in your field so you don't have to. Join 37,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content